[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_dce677a7-ab2e-4838-b755-de20e149baaa":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:dce677a7-ab2e-4838-b755-de20e149baaa,\"}":87},{"code":4,"data":5,"meta":24},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":26,"manageAffiliations":35,"indexDatabases":47,"url":86,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},"dce677a7-ab2e-4838-b755-de20e149baaa","2023-05-29T11:18:46.003+00:00","2025-11-21T10:05:46.665+00:00",[],"Earth-System-Dynamics",{"country":12,"issn":14,"introduce":16,"eissn":18,"title":20},{"VOID":13},"DE",{"VOID":15},"21904979",{"EN":17},"Earth System Dynamics (ESD) is a not-for-profit international scientific journal dedicated to the publication and public discussion of studies that take an interdisciplinary perspective of the functioning of the whole Earth system and global change. The overall behaviour of the Earth system is strongly shaped by the interactions among its various component systems, such as the atmosphere, cryosphere, hydrosphere, oceans, pedosphere, lithosphere, and the inner Earth, but also by life and human activity. ESD solicits contributions that investigate these various interactions and the underlying mechanisms, ways how these can be conceptualized, modelled, and quantified, predictions of the overall system behaviour to global changes, and the impacts for its habitability, humanity, and future Earth system management by human decision making.",{"VOID":19},"21904987",{"EN":21},"Earth System Dynamics","PUBLISHER","PENDING",null,0,[27],{"id":28,"createTime":29,"updateTime":30,"relativeEntities":31,"label":32,"description":34,"parentId":24,"standard":24,"scholarHubFieldId":24},"cd0e9c62-9445-4f11-88d8-ffaaa645b234","2023-05-29T10:24:10.509+00:00","2023-11-21T07:57:34.083+00:00",[],{"EN":33},"Earth and Planetary Sciences (miscellaneous)",{},[36],{"id":37,"createTime":38,"updateTime":39,"relativeEntities":40,"slug":41,"properties":42,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"url":24,"parentIds":46,"statistic":24},"d8102586-bb62-419f-b836-46598060cf6a","2023-05-29T10:36:16.905+00:00","2023-12-20T19:36:51.029+00:00",[],"Copernicus-Gesellschaft-mbH",{"title":43},{"EN":44},"Copernicus Gesellschaft mbH","AFFILIATION",[],[48,67],{"id":49,"indexDatabase":50,"url":64,"indexYears":24,"academicFieldIds":65,"indexDatabaseRanking":24},"52b7914c-037b-4e43-b037-ccb8ab5dfd25",{"id":51,"createTime":52,"updateTime":53,"relativeEntities":54,"label":55,"description":57,"key":60,"publicationTags":61,"standard":24},"a4921856-b128-4d9f-8f1f-e80813d3bbd4","2023-05-22T09:59:31.026+00:00","2025-11-21T10:07:52.153+00:00",[],{"EN":56,"VI":56},"ISI\u002FSCIE - Science Citation Index Expanded",{"VI":58,"EN":59},"Cơ sở dữ liệu SCIE","SCIE database","scie",[62,63],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=2190-4979",[66],"0db73426-2364-455f-81a4-efe0f91d712e",{"id":68,"indexDatabase":69,"url":81,"indexYears":82,"academicFieldIds":83,"indexDatabaseRanking":85},"20c86565-731c-421f-95a5-64c721edf4f8",{"id":70,"createTime":71,"updateTime":72,"relativeEntities":73,"label":74,"description":76,"key":78,"publicationTags":79,"standard":24},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":75,"VI":75},"Scopus - Elsevier",{"EN":75,"VI":77},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[80],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F19900192023","2010-2025",[84],"1689391c-5702-4349-aaa7-d720ee4321fc","SCOPUS__Q1","https:\u002F\u002Fwww.earth-system-dynamics.net\u002F",{"meta":88,"data":90},{"total":89},"8",[91,422,600,965,1803,2358,2716,3041],{"id":92,"createTime":93,"updateTime":93,"relativeEntities":94,"slug":95,"properties":96,"entityType":108,"verifyStatus":109,"verifyTime":110,"verifyNote":111,"syncStatus":23,"languages":112,"translateLanguages":24,"viewCount":25,"primaryUrl":114,"fullTextUrl":24,"authors":115,"publicationType":185,"publisherRelationship":186,"citationCount":219,"citationInfo":220,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":230,"isForceReanalyzing":421},"c9d21ee8-a3cc-498b-a697-47857c87087e","2024-10-06T22:30:21.719+00:00",[],"A-12-year-high-resolution-climatology-of-atmospheric-water-transport-over-the-Tibetan-Plateau",{"mag":97,"keywords":99,"openalex":100,"abstract":102,"title":104,"doi":106},{"VOID":98},"1982370617",{},{"VOID":101},"W1982370617",{"EN":103},"\u003Cjats:p>Abstract. The Tibetan Plateau (TP) plays a key role in the water cycle of high Asia and its downstream regions. The respective influence of the Indian and East Asian summer monsoon on TP precipitation and regional water resources, together with the detection of moisture transport pathways and source regions are the subject of recent research. In this study, we present a 12-year high-resolution climatology of the atmospheric water transport (AWT) over and towards the TP using a new data set, the High Asia Refined analysis (HAR), which better represents the complex topography of the TP and surrounding high mountain ranges than coarse-resolution data sets. We focus on spatiotemporal patterns, vertical distribution and transport through the TP boundaries. The results show that the mid-latitude westerlies have a higher share in summertime AWT over the TP than assumed so far. Water vapour (WV) transport constitutes the main part, whereby transport of water as cloud particles (CP) also plays a role in winter in the Karakoram and western Himalayan regions. High mountain valleys in the Himalayas facilitate AWT from the south, whereas the high mountain regions inhibit AWT to a large extent and limit the influence of the Indian summer monsoon. No transport from the East Asian monsoon to the TP could be detected. Our results show that 36.8 ± 6.3% of the atmospheric moisture needed for precipitation comes from outside the TP, while the remaining 63.2% is provided by local moisture recycling.\n                    \u003C\u002Fjats:p>",{"EN":105},"A 12-year high-resolution climatology of atmospheric water transport over the Tibetan Plateau",{"VOID":107},"10.5194\u002Fesd-6-109-2015","PUBLICATION","VERIFIED","2024-10-06T22:30:21.718+00:00","Auto 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Germany",{"openalex":132,"orcid":134,"title":136},{"VOID":133},"A5073954123",{"VOID":135},"https:\u002F\u002Forcid.org\u002F0000-0002-0361-9541",{"EN":137},"Julia Curio",{"id":139,"sortIndex":140,"researcher":24,"roles":141,"affiliations":142,"properties":160},"5ae462f3-79bc-49d7-b80e-218dc35652da",1,[],[143,154],{"id":144,"sortIndex":140,"affiliation":145,"properties":24},"04090b3e-e287-4ccc-aadf-4115eac91fee",{"id":146,"createTime":147,"updateTime":148,"relativeEntities":149,"slug":150,"properties":151,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"272a8585-b258-4499-b4f5-c3493c393176","2023-12-11T20:23:35.055+00:00","2024-10-06T22:30:21.748+00:00",[],"Institute-of-Meteorology-and-Geophysics-University-of-Innsbruck-Innsbruck-Austria",{"title":152},{"VI":153},"Institute of Meteorology and Geophysics, University of Innsbruck, Innsbruck, 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Z., Colman, S. M., Zhou, W., Li, X., Brown, E. T., Jull, A. J. T., Cai, Y., Huang, Y., Lu, X., Chang, H., Song, Y., Sun, Y., Xu, H., Liu, W., Jin, Z., Liu, X., Cheng, P., Liu, Y., Ai, L., Li, X., Liu, X., Yan, L., Shi, Z., Wang, X., Wu, F., Qiang, X., Dong, J., Lu, F., and Xu, X.: Interplay between the Westerlies and Asian monsoon recorded in Lake Qinghai sediments since 32 ka., Sci. Rep., 2, 619, https:\u002F\u002Fdoi.org\u002F10.1038\u002Fsrep00619, 2012.",{"doi":234},"10.1038\u002Fsrep00619",{"id":24,"text":236,"url":24,"identifiers":237},"Araguás-Araguás, L., Froehlich, K., and Rozanski, K.: Stable isotope composition of precipitation over southeast Asia, J. Geophys. Res., 103, 28721–28742, https:\u002F\u002Fdoi.org\u002F10.1029\u002F98JD02582, 1998.",{"doi":238},"10.1029\u002F98JD02582",{"id":24,"text":240,"url":24,"identifiers":241},"Bin, C., Xiang-De, X., and Tianliang, Z.: Main moisture sources affecting lower Yangtze River Basin in boreal summers during 2004-2009, Int. J. Climatol., 33, 1035–1046, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.3495, 2013.",{"doi":242},"10.1002\u002Fjoc.3495",{"id":24,"text":244,"url":24,"identifiers":245},"Bolch, T., Kulkarni, A., Kääb, A., Huggel, C., Paul, F., Cogley, J. G., Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya, S., and Stoffel, M.: The state and fate of Himalayan glaciers, Science, 336, 310–314, https:\u002F\u002Fdoi.org\u002F10.1126\u002Fscience.1215828, 2012.",{"doi":246},"10.1126\u002Fscience.1215828",{"id":24,"text":248,"url":24,"identifiers":249},"Bollasina, M. and Nigam, S.: The summertime "heat" low over Pakistan\u002Fnorthwestern India: evolution and origin, Clim. Dynam., 37, 957–970, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00382-010-0879-y, 2010.",{"doi":250},"10.1007\u002Fs00382-010-0879-y",{"id":24,"text":252,"url":24,"identifiers":253},"Bookhagen, B. and Burbank, D. W.: Toward a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge, J. Geophys. Res., 115, F03019, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2009JF001426, 2010.",{"doi":254},"10.1029\u002F2009JF001426",{"id":24,"text":256,"url":24,"identifiers":257},"Bothe, O., Fraedrich, K., and Zhu, X.: The large-scale circulations and summer drought and wetness on the Tibetan Plateau, Int. J. Climatol., 30, 844–855, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.1946, 2009.",{"doi":258},"10.1002\u002Fjoc.1946",{"id":24,"text":260,"url":24,"identifiers":261},"Bothe, O., Fraedrich, K., and Zhu, X.: Large-scale circulations and Tibetan Plateau summer drought and wetness in a high-resolution climate model. Int. J. Climatol., 31, 832–846, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.2124, 2011.",{"doi":262},"10.1002\u002Fjoc.2124",{"id":24,"text":264,"url":24,"identifiers":265},"Chen, B., Xu, X.-D., Yang, S., and Zhang, W.: On the origin and destination of atmospheric moisture and air mass over the Tibetan Plateau, Theor. Appl. Climatol., 110, 423–435, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-012-0641-y, 2012.",{"doi":266},"10.1007\u002Fs00704-012-0641-y",{"id":24,"text":268,"url":24,"identifiers":269},"Dee, D. P., Uppala, S. M., Simmons, a. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. a., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, a. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, a. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, a. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fqj.828, 2011.",{"doi":270},"10.1002\u002Fqj.828",{"id":24,"text":272,"url":24,"identifiers":273},"Feng, L. and Zhou, T.: Water vapor transport for summer precipitation over the Tibetan Plateau: Multidata set analysis, J. Geophys. Res.-Atmos., 117, D20114, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2011JD017012, 2012.",{"doi":274},"10.1029\u002F2011JD017012",{"id":24,"text":276,"url":24,"identifiers":277},"Flohn, H.: Contributions to a meteorology of the Tibetan highlands. Atmospheric Science Paper No. 130, Department of Atmosphere Science, Colorado State University: Colorado, 1968.",{},{"id":24,"text":279,"url":24,"identifiers":280},"Galarneau, T. J., Hamill, T. M., Dole, R. M., and Perlwitz, J.: A Multiscale Analysis of the Extreme Weather Events over Western Russia and Northern Pakistan during July 2010, Mon. Weather Rev., 140, 1639–1664, https:\u002F\u002Fdoi.org\u002F10.1175\u002FMWR-D-11-00191.1, 2012.",{"doi":281},"10.1175\u002FMWR-D-11-00191.1",{"id":24,"text":283,"url":24,"identifiers":284},"Gao, Y., Cuo, L., and Zhang, Y.: Changes in Moisture Flux over the Tibetan Plateau during 1979–2011 and Possible Mechanisms, J. Climate, 27, 1876–1893, https:\u002F\u002Fdoi.org\u002F10.1175\u002FJCLI-D-13-00321.1, 2014.",{"doi":285},"10.1175\u002FJCLI-D-13-00321.1",{"id":24,"text":287,"url":24,"identifiers":288},"Günther, F., Mügler, I., Mäusbacher, R., Daut, G., Leopold, K., Gerstmann, U. C., Xu, B., Yao, T., and Gleixner, G.: Response of dD values of sedimentary n-alkanes to variations in source water isotope signals and climate proxies at lake Nam Co , Tibetan Plateau, Quaternary Int., 236, 82–90, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.quaint.2010.12.006, 2011.",{"doi":289},"10.1016\u002Fj.quaint.2010.12.006",{"id":24,"text":291,"url":24,"identifiers":292},"Guenther, F., Aichner, B., Siegwolf, R., Xu, B., Yao, T., and Gleixner, G.: A synthesis of hydrogen isotope variability and its hydrological significance at the Qinghai–Tibetan Plateau, Quaternary Int., 313–314, 3–16, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.quaint.2013.07.013, 2013.",{"doi":293},"10.1016\u002Fj.quaint.2013.07.013",{"id":24,"text":295,"url":24,"identifiers":296},"Han, Y., Fang, X., Zhao, T., Bai, H., Kang, S., and Song, L.: Suppression of precipitation by dust particles originated in the Tibetan Plateau, Atmos. Environ., 43, 568–574, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.atmosenv.2008.10.018, 2009.",{"doi":297},"10.1016\u002Fj.atmosenv.2008.10.018",{"id":24,"text":299,"url":24,"identifiers":300},"Hren, M. T., Bookhagen, B., Blisniuk, P. M., Booth, A. L., and Chamberlain, C. P.: δ18O and δD of streamwaters across the Himalaya and Tibetan Plateau: Implications for moisture sources and paleoelevation reconstructions, Earth Planet. Sci. Lett., 288, 20–32, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.epsl.2009.08.041, 2009.",{"doi":301},"10.1016\u002Fj.epsl.2009.08.041",{"id":24,"text":303,"url":24,"identifiers":304},"Immerzeel, W. W., van Beek, L. P. H., and Bierkens, M. F. P.: Climate change will affect the Asian water towers, Science, 328, 1382–1385, https:\u002F\u002Fdoi.org\u002F10.1126\u002Fscience.1183188, 2010.",{"doi":305},"10.1126\u002Fscience.1183188",{"id":24,"text":307,"url":24,"identifiers":308},"Immerzeel, W. W., Pellicciotti, F., and Bierkens, M.: Rising river flows throughout the twenty-first century in two Himalayan glacierized watersheds, Nat. Geosci., 6, 742–745, https:\u002F\u002Fdoi.org\u002F10.1038\u002Fngeo1896, 2013.",{"doi":309},"10.1038\u002Fngeo1896",{"id":24,"text":311,"url":24,"identifiers":312},"Joswiak, D. R., Yao, T., Wu, G., Tian, L., and Xu, B.: Ice-core evidence of westerly and monsoon moisture contributions in the central Tibetan Plateau, J. Glaciol., 59, 56–66, https:\u002F\u002Fdoi.org\u002F10.3189\u002F2013JoG12J035, 2013.",{"doi":313},"10.3189\u002F2013JoG12J035",{"id":24,"text":315,"url":24,"identifiers":316},"Kang, S., Qin, D., Ren, J., Zhang, Y., Kaspari, S., Mayewski, P. A., and Hou, S.: Annual Accumulation in the Mt. Nyainqentanglha Ice Core, Southern Tibetan Plateau, China: Relationships To Atmospheric Circulation over Asia, Arctic, Antarct. Alp. Res., 39, 663–670, https:\u002F\u002Fdoi.org\u002F10.1657\u002F1523-0430(07503)[KANG]2.0.CO;2, 2007.",{},{"id":24,"text":318,"url":24,"identifiers":319},"Kurita, N. and Yamada, H.: The Role of Local Moisture Recycling Evaluated Using Stable Isotope Data from over the Middle of the Tibetan Plateau during the Monsoon Season, J. Hydrometeorol., 9, 760–775, https:\u002F\u002Fdoi.org\u002F10.1175\u002F2007JHM945.1, 2008.",{"doi":320},"10.1175\u002F2007JHM945.1",{"id":24,"text":322,"url":24,"identifiers":323},"Liu, J., Kang, S., Gong, T., and Lu, A.: Growth of a high-elevation large inland lake, associated with climate change and permafrost degradation in Tibet, Hydrol. Earth Syst. Sci., 14, 481–489, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-14-481-2010, 2010.",{"doi":324},"10.5194\u002Fhess-14-481-2010",{"id":24,"text":326,"url":24,"identifiers":327},"Liu, X. and Yin, Z.-Y.: Spatial and Temporal Variation of Summer Precipitation over the Eastern Tibetan Plateau and the North Atlantic Oscillation, J. Climate, 14, 2896–2909, https:\u002F\u002Fdoi.org\u002F10.1175\u002F1520-0442(2001)014, 2001.",{},{"id":24,"text":329,"url":24,"identifiers":330},"Lu, N., Qin, J., Gao, Y., Yang, K., Trenberth, K. E., Gehne, M., and Zhu, Y.: Trends and variability in atmospheric precipitable water over the Tibetan Plateau for 2000–2010, Int. J. Climatol., https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.4064, in press, 2014.",{"doi":331},"10.1002\u002Fjoc.4064",{"id":24,"text":333,"url":24,"identifiers":334},"Luo, H. and Yanai, M.: The large-scale circulation and heat sources over the Tibetan Plateau and surrounding areas during the early summer of 1979. 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Change, 2, 663–667, https:\u002F\u002Fdoi.org\u002F10.1038\u002Fnclimate1580, 2012.",{"doi":412},"10.1038\u002Fnclimate1580",{"id":24,"text":414,"url":24,"identifiers":415},"Yao, T., Masson-Delmotte, V., Gao, J., Yu, W., Yang, X., Risi, C., Sturm, C., Werner, M., Zhao, H., He, Y., and Ren, W.: A review of climatic controls on δ 18 o in precipitation over the Tibetan Plateau: Observations and simulations, Rev. Geophys., 51, 525–548, https:\u002F\u002Fdoi.org\u002F10.1002\u002Frog.20023, 2013.",{"doi":416},"10.1002\u002Frog.20023",{"id":24,"text":418,"url":24,"identifiers":419},"Zhang, Y., Wang, D., Zhai, P., Gu, G., and He, J.: Spatial Distributions and Seasonal Variations of Tropospheric Water Vapor Content over the Tibetan Plateau, J. Climate, 26, 5637–5654, https:\u002F\u002Fdoi.org\u002F10.1175\u002FJCLI-D-12-00574.1, 2013.",{"doi":420},"10.1175\u002FJCLI-D-12-00574.1",false,{"id":423,"createTime":424,"updateTime":424,"relativeEntities":425,"slug":426,"properties":427,"entityType":108,"verifyStatus":109,"verifyTime":424,"verifyNote":111,"syncStatus":23,"languages":439,"translateLanguages":24,"viewCount":25,"primaryUrl":440,"fullTextUrl":24,"authors":441,"publicationType":185,"publisherRelationship":480,"citationCount":513,"citationInfo":514,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":519,"isForceReanalyzing":421},"52bd7a46-f602-44e7-b920-96900d7292ef","2025-02-10T16:43:10.770+00:00",[],"Simulation-of-observed-climate-changes-in-1850-2014-with-climate-model-INM-CM5",{"mag":428,"keywords":430,"openalex":431,"abstract":433,"title":435,"doi":437},{"VOID":429},"2802544078",{},{"VOID":432},"W2802544078",{"EN":434},"\u003Cjats:p>Abstract. Climate changes observed in 1850–2014 are modeled and studied on the basis\nof seven historical runs with the climate model INM-CM5 under the scenario\nproposed for the Coupled Model Intercomparison Project Phase 6 (CMIP6). In\nall runs global mean surface temperature rises by 0.8 K at the end of the\nexperiment (2014) in agreement with the observations. Periods of fast warming\nin 1920–1940 and 1980–2000 as well as its slowdown in 1950–1975 and\n2000–2014 are correctly reproduced by the ensemble mean. The notable change\nhere with respect to the CMIP5 results is the correct reproduction of the\nslowdown in global warming in 2000–2014 that we attribute to a change in\nocean heat uptake and a more accurate description of the total solar\nirradiance in the CMIP6 protocol. The model is able to reproduce the correct\nbehavior of global mean temperature in 1980–2014 despite incorrect phases of\nthe Atlantic Multidecadal Oscillation and Pacific Decadal Oscillation indices\nin the majority of experiments. The Arctic sea ice loss in recent decades is\nreasonably close to the observations in just one model run; the model\nunderestimates Arctic sea ice loss by a factor of 2.5. The spatial pattern of\nthe model mean surface temperature trend during the last 30 years looks close\nto the one for the ERA-Interim reanalysis. The model correctly estimates the\nmagnitude of stratospheric cooling.\n                    \u003C\u002Fjats:p>",{"EN":436},"Simulation of observed climate changes in 1850–2014 with climate model INM-CM5",{"VOID":438},"10.5194\u002Fesd-9-1235-2018",[113],"https:\u002F\u002Fesd.copernicus.org\u002Farticles\u002F9\u002F1235\u002F2018\u002F",[442,463],{"id":443,"sortIndex":140,"researcher":24,"roles":444,"affiliations":445,"properties":456},"34fedbb0-60a1-475b-b986-eea491ee961b",[],[446],{"id":447,"sortIndex":25,"affiliation":448,"properties":24},"07ce20e6-f8de-40bd-a235-9af862578ffb",{"id":449,"createTime":450,"updateTime":450,"relativeEntities":451,"slug":452,"properties":453,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"4d6ff398-b20a-4884-a8a1-3ed01ea3d7c1","2025-02-10T16:43:10.784+00:00",[],"Institute-for-Numerical-Mathematics-INM-RAS-Gubkina-8-Moscow-119333-Russia",{"title":454},{"EN":455},"Institute for Numerical Mathematics, INM RAS, Gubkina 8, Moscow 119333, Russia",{"openalex":457,"orcid":459,"title":461},{"VOID":458},"A5010207624",{"VOID":460},"https:\u002F\u002Forcid.org\u002F0000-0002-1595-1787",{"EN":462},"Andrey Gritsun",{"id":464,"sortIndex":25,"researcher":24,"roles":465,"affiliations":466,"properties":473},"c337a5d4-3aa8-48fd-9dd7-9d7d3b50ef93",[],[467],{"id":468,"sortIndex":25,"affiliation":469,"properties":24},"cdf4145c-a861-4e5b-beaf-8592554a8fa5",{"id":449,"createTime":450,"updateTime":450,"relativeEntities":470,"slug":452,"properties":471,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":472},{"EN":455},{"openalex":474,"orcid":476,"title":478},{"VOID":475},"A5023847101",{"VOID":477},"https:\u002F\u002Forcid.org\u002F0000-0003-1073-7287",{"EN":479},"E. M. Volodin",{"url":24,"publisher":481,"properties":506},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":482,"slug":10,"properties":483,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":489,"manageAffiliations":490,"indexDatabases":491,"url":86,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":484,"issn":485,"introduce":486,"eissn":487,"title":488},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[492,499],{"id":49,"indexDatabase":493,"url":64,"indexYears":24,"academicFieldIds":498,"indexDatabaseRanking":24},{"id":51,"createTime":52,"updateTime":53,"relativeEntities":494,"label":495,"description":496,"key":60,"publicationTags":497,"standard":24},[],{"EN":56,"VI":56},{"VI":58,"EN":59},[62,63],[66],{"id":68,"indexDatabase":500,"url":81,"indexYears":82,"academicFieldIds":505,"indexDatabaseRanking":85},{"id":70,"createTime":71,"updateTime":72,"relativeEntities":501,"label":502,"description":503,"key":78,"publicationTags":504,"standard":24},[],{"EN":75,"VI":75},{"EN":75,"VI":77},[80],[84],{"volume":507,"pages":509,"issue":511},{"VOID":508},"9",{"VOID":510},"1235-1242",{"VOID":512},"4",86,{"total":513,"publishYear":24,"statisticByYear":515},{"2019":222,"2020":516,"2021":517,"2022":518,"2023":229,"2024":229,"2025":140},5,16,13,[520,523,527,531,534,538,542,546,550,554,558,562,565,569,573,577,580,584,588,592,596],{"id":24,"text":521,"url":24,"identifiers":522},"Bindoff, N. 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E.:\nModel-based evidence of deep-ocean heat uptake during surface-temperature\nhiatus periods, Nature Clim. Change, 1, 360–364, 2011.",{"doi":553},"10.1038\u002Fnclimate1229",{"id":24,"text":555,"url":24,"identifiers":556},"Morice, C. P., Kennedy, J. J., Rayner, N. A., and Jones, P. D.: Quantifying\nuncertainties in global and regional temperature changes using an ensemble of\nobservational estimates: the HadCRUT4 dataset, J. Geophys. Res., 117, D08101,\nhttps:\u002F\u002Fdoi.org\u002F10.1029\u002F2011JD017187, 2011.",{"doi":557},"10.1029\u002F2011JD017187",{"id":24,"text":559,"url":24,"identifiers":560},"Overland, J. E., Wood, K. R., and Wang, M.: Warm Arctic-cold continents:\nclimate impacts of the newly open Arctic Sea, Polar Res., 30, 15787,\nhttps:\u002F\u002Fdoi.org\u002F10.3402\u002Fpolar.v30i0.15787, 2011.",{"doi":561},"10.3402\u002Fpolar.v30i0.15787",{"id":24,"text":563,"url":24,"identifiers":564},"Rhein, M., Rintoul, S. R., Aoki, S., Campos, E., Chambers, D., Feely, R. A.,\nGulev, S., Johnson, G. C., Josey, S. A., Kostianoy, A., Mauritzen, C.,\nRoemmich, D., Talley, L. D., and Wang, F.: Observations: Ocean, in: Climate\nChange 2013: The Physical Science Basis. Contribution of Working Group I to\nthe Fifth Assessment Report of the Intergovernmental Panel on Climate Change,\nedited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.\nK., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge\nUniversity Press, Cambridge, United Kingdom and New York, NY, USA, 2013.",{},{"id":24,"text":566,"url":24,"identifiers":567},"Stroeve, J. C., Kattsov, V., Barrett, A., Serreze, M., Pavlova, T., Holland,\nM., and Meier, W. N.: Trends in Arctic sea ice extent from CMIP5, CMIP3 and\nobservations, Geophys. Res. Lett., 39, L16502, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2012GL052676, 2012.",{"doi":568},"10.1029\u002F2012GL052676",{"id":24,"text":570,"url":24,"identifiers":571},"Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and\nthe Experiment Design, B. Am. Meteorol. Soc., 93, 485–498,\nhttps:\u002F\u002Fdoi.org\u002F10.1175\u002FBAMS-D-11-00094.1, 2012.",{"doi":572},"10.1175\u002FBAMS-D-11-00094.1",{"id":24,"text":574,"url":24,"identifiers":575},"Ting, M., Kushnir, Y., and Li, C.: North Atlantic Multidecadal SST\nOscillation: External forcing versus internal variability, J. Marine Syst.,\n133, 27–38, 2014.",{"doi":576},"10.1016\u002Fj.jmarsys.2013.07.006",{"id":24,"text":578,"url":24,"identifiers":579},"Volodin, E. M. and Kostrykin, S. V.: Aerosol block in climate model of INM\nRAS, Russ. Meteorol. Hydro., 8, 5–17, 2016.",{},{"id":24,"text":581,"url":24,"identifiers":582},"Volodin, E. M., Diansky, N. A., and Gusev, A. V.: Simulation and Prediction\nof Climate Changes in the 19th to 21st Centuries with the Institute of\nNumerical Mathematics, Russian Academy of Sciences, Model of the Earth's\nClimate System. Izvestiya, Atmos. Ocean. Phys., 49, 347–366, 2013.",{"doi":583},"10.1134\u002FS0001433813040105",{"id":24,"text":585,"url":24,"identifiers":586},"Volodin, E. M., Mortikov, E. V., Kostrykin, S. V., Galin, V. Y., Lykossov, V.\nN., Gritsun, A. S., Diansky, N. A., Gusev, A. V., and Iakovlev, N. G.:\nSimulation of modern climate with the new version of the INM RAS climate\nmodel, Izvestiya, Atmos. Ocean. Phys., 53, 142–155, 2017a.",{"doi":587},"10.1134\u002FS0001433817020128",{"id":24,"text":589,"url":24,"identifiers":590},"Volodin, E. M., Mortikov, E. V., Kostrykin, S. V., Galin, V. Y., Lykossov, V.\nN., Gritsun, A. S., Diansky, N. A., Gusev, A. V., and Iakovlev, N. G.:\nSimulation of the present day climate with the climate model INMCM5, Clim.\nDyn., V49, 3715,\nhttps:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00382-017-3539-7, 2017b.",{"doi":591},"10.1007\u002Fs00382-017-3539-7",{"id":24,"text":593,"url":24,"identifiers":594},"Wilcox, L. J., Highwood, E. J., and Dunstone, N. J.: The influence of\nanthropogenic aerosol on multi-decadal variations of historical global\nclimate, Environ. Res. Lett., 8, 024033, https:\u002F\u002Fdoi.org\u002F10.1088\u002F1748-9326\u002F8\u002F2\u002F024033,\n2013.",{"doi":595},"10.1088\u002F1748-9326\u002F8\u002F2\u002F024033",{"id":24,"text":597,"url":24,"identifiers":598},"Yan, X. H., Boyer, T., Trenberth, K., Karl, T. R., Xie, S. P., Nieves, V.,\nTung, K. K., and Roemmich, D.: The global warming hiatus: Slowdown or\nredistribution?, Earth's Future, 4, 472–482, https:\u002F\u002Fdoi.org\u002F10.1002\u002F2016EF000417, 2016.",{"doi":599},"10.1002\u002F2016EF000417",{"id":601,"createTime":602,"updateTime":602,"relativeEntities":603,"slug":604,"properties":605,"entityType":108,"verifyStatus":109,"verifyTime":602,"verifyNote":111,"syncStatus":23,"languages":617,"translateLanguages":24,"viewCount":25,"primaryUrl":618,"fullTextUrl":24,"authors":619,"publicationType":185,"publisherRelationship":685,"citationCount":717,"citationInfo":718,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":726,"isForceReanalyzing":421},"2268ea12-088a-426a-a64f-0df546e28c11","2025-02-10T16:43:06.952+00:00",[],"The-response-of-precipitation-characteristics-to-global-warming-from-climate-projections",{"mag":606,"keywords":608,"openalex":609,"abstract":611,"title":613,"doi":615},{"VOID":607},"2911362785",{},{"VOID":610},"W2911362785",{"EN":612},"\u003Cjats:p>Abstract. We revisit the issue of the response of precipitation characteristics to\nglobal warming based on analyses of global and regional climate model\nprojections for the 21st century. The prevailing response we identify can be\nsummarized as follows: increase in the intensity of precipitation events and\nextremes, with the occurrence of events of “unprecedented” magnitude, i.e.,\na magnitude not found in the present-day climate; decrease in the number of light\nprecipitation events and in wet spell lengths; and increase in the number of dry\ndays and dry spell lengths. This response, which is mostly consistent across\nthe models we analyzed, is tied to the difference between precipitation\nintensity responding to increases in local humidity conditions and\ncirculations, especially for heavy and extreme events, and mean precipitation\nresponding to slower increases in global evaporation. These changes in\nhydroclimatic characteristics have multiple and important impacts on the\nEarth's hydrologic cycle and on a variety of sectors. As examples we\ninvestigate effects on potential stress due to increases in dry and wet\nextremes, changes in precipitation interannual variability, and changes in\nthe potential predictability of precipitation events. We also stress how the\nunderstanding of the hydroclimatic response to global warming can provide\nimportant insights into the fundamental behavior of precipitation processes,\nmost noticeably tropical convection.\n                    \u003C\u002Fjats:p>",{"EN":614},"The response of precipitation characteristics to global warming from climate projections",{"VOID":616},"10.5194\u002Fesd-10-73-2019",[113],"https:\u002F\u002Fesd.copernicus.org\u002Farticles\u002F10\u002F73\u002F2019\u002F",[620,641,658],{"id":621,"sortIndex":169,"researcher":24,"roles":622,"affiliations":623,"properties":634},"d71a2e53-5b4f-4456-9a26-6b7ff113305d",[],[624],{"id":625,"sortIndex":25,"affiliation":626,"properties":24},"7817b9a0-18ad-43a2-bffb-e748784cd28c",{"id":627,"createTime":628,"updateTime":628,"relativeEntities":629,"slug":630,"properties":631,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"a6f98523-ed47-4301-942c-f9cca97acccf","2025-02-10T16:43:06.967+00:00",[],"Earth-System-Physics-Section-The-Abdus-Salam-International-Centre-for-Theoretical-Physics-34151-Trieste-Italy",{"title":632},{"EN":633},"Earth System Physics Section, The Abdus Salam International Centre for Theoretical Physics, 34151 Trieste, Italy",{"openalex":635,"orcid":637,"title":639},{"VOID":636},"A5034918601",{"VOID":638},"https:\u002F\u002Forcid.org\u002F0000-0001-6944-5815",{"EN":640},"Erika Coppola",{"id":642,"sortIndex":140,"researcher":24,"roles":643,"affiliations":644,"properties":651},"9c518fa6-b5f7-488d-af89-809bc271f312",[],[645],{"id":646,"sortIndex":25,"affiliation":647,"properties":24},"7756351a-0f9c-4c8b-948f-69fed4d67ec9",{"id":627,"createTime":628,"updateTime":628,"relativeEntities":648,"slug":630,"properties":649,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":650},{"EN":633},{"openalex":652,"orcid":654,"title":656},{"VOID":653},"A5070402739",{"VOID":655},"https:\u002F\u002Forcid.org\u002F0000-0001-7858-7778",{"EN":657},"Francesca Raffaele",{"id":659,"sortIndex":25,"researcher":24,"roles":660,"affiliations":661,"properties":678},"2bfe3388-f1e5-4767-91c1-54d7df60eab2",[],[662,672],{"id":663,"sortIndex":140,"affiliation":664,"properties":24},"0ab788b8-e500-4c57-9f6c-fb542f950915",{"id":665,"createTime":666,"updateTime":666,"relativeEntities":667,"slug":668,"properties":669,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"fc5568ba-59fe-4ba5-a7b3-634a62323431","2025-02-10T16:43:06.972+00:00",[],"Invited-contribution-by-Filippo%C3%82-Giorgi-recipient-of-the-EGU-Alexander%C3%82-von%C3%82-Humboldt-Medal%C3%82-2018-",{"title":670},{"EN":671},"Invited contribution by Filippo Giorgi, recipient of the EGU Alexander von Humboldt Medal 2018.",{"id":673,"sortIndex":25,"affiliation":674,"properties":24},"20152fa1-b63f-49dc-9211-250e218c8298",{"id":627,"createTime":628,"updateTime":628,"relativeEntities":675,"slug":630,"properties":676,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":677},{"EN":633},{"openalex":679,"orcid":681,"title":683},{"VOID":680},"A5068662920",{"VOID":682},"https:\u002F\u002Forcid.org\u002F0000-0003-2895-5274",{"EN":684},"Filippo Giorgi",{"url":24,"publisher":686,"properties":711},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":687,"slug":10,"properties":688,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":694,"manageAffiliations":695,"indexDatabases":696,"url":86,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":689,"issn":690,"introduce":691,"eissn":692,"title":693},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[697,704],{"id":49,"indexDatabase":698,"url":64,"indexYears":24,"academicFieldIds":703,"indexDatabaseRanking":24},{"id":51,"createTime":52,"updateTime":53,"relativeEntities":699,"label":700,"description":701,"key":60,"publicationTags":702,"standard":24},[],{"EN":56,"VI":56},{"VI":58,"EN":59},[62,63],[66],{"id":68,"indexDatabase":705,"url":81,"indexYears":82,"academicFieldIds":710,"indexDatabaseRanking":85},{"id":70,"createTime":71,"updateTime":72,"relativeEntities":706,"label":707,"description":708,"key":78,"publicationTags":709,"standard":24},[],{"EN":75,"VI":75},{"EN":75,"VI":77},[80],[84],{"volume":712,"pages":714,"issue":716},{"VOID":713},"10",{"VOID":715},"73-89",{"VOID":218},251,{"total":717,"publishYear":24,"statisticByYear":719},{"2019":720,"2020":228,"2021":721,"2022":722,"2023":723,"2024":724,"2025":725},17,45,47,51,49,3,[727,731,735,739,743,747,751,755,759,763,767,771,775,779,783,787,791,795,799,802,806,810,814,818,822,826,830,834,838,842,845,848,851,855,859,862,866,870,874,878,882,886,890,894,898,902,906,910,914,918,922,926,930,933,937,941,945,949,953,957,961],{"id":24,"text":728,"url":24,"identifiers":729},"Allan, 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Chapter 9 of Climate Change 2013. The Physical\nScience Basis, Contribution of Working Group I to the Fifth Assessment\nReport of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Dahe, Q.,\nPlattner, G.-K., Tignor, M. M. B., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M.,\nCambridge University Press, Cambridge, United Kingdom and New York,\nNY, USA, 741–866, 2013.",{"doi":782},"10.1017\u002FCBO9781107415324.020",{"id":24,"text":784,"url":24,"identifiers":785},"Gao, X. J., Pal, J. S., and Giorgi, F.: Projected changes in mean and extreme\nprecipitation over the Mediterranean region from high resolution double\nnested RCM simulations, Geophys. Res. 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Climate, 7, 375–399, 1994.",{"doi":798},"10.1175\u002F1520-0442(1994)007\u003C0375:RCCSOT>2.0.CO;2",{"id":24,"text":800,"url":24,"identifiers":801},"Giorgi, F., Jones, C., and Asrar, G.: Addressing climate information needs\nat the regional level: The CORDEX framework, WMO Bulletin, 58, 175–183,\n2009.",{},{"id":24,"text":803,"url":24,"identifiers":804},"Giorgi, F., Im, E.-S., Coppola, E., Diffenbaugh, N. S., Gao, X. J., Mariotti,\nL., and Shi, Y.: Higher hydroclimatic intensity with global warming, J.\nClimate, 24, 5309–5324, 2011.",{"doi":805},"10.1175\u002F2011JCLI3979.1",{"id":24,"text":807,"url":24,"identifiers":808},"Giorgi, F., Coppola, E., Solmon, F., Mariotti, L., Sylla, M. B., Bi, X.,\nElguindi, N., Diro, G. T., Nair, V., Giuliani, G., Turuncoglu, U. U., Cozzini,\nS., Guttler, I., O'Brien, T. A., Tawfik, A. B., Shalaby, A., Zakey, A. S.,\nSteiner, A. L., Stordal, F., Sloan, L. 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M., Cambridge University Press,\nCambridge, UK, 582 pp., 2012.",{},{"id":24,"text":849,"url":24,"identifiers":850},"Intergovernmental Panel on Climate Change (IPCC): Climate Change 2013. The\nPhysical Science Basis. Contribution of Working Group I to the Fifth\nAssessment Report of the Intergovernmental Panel on Climate Change, edited by:\nStocker,\nT. F., Dahe, Q., Plattner, G.-K., Tignor, M. M. B., Allen, S. K., Boschung, J.,\nNauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom\nand New York, NY, USA, 1029 pp., 2013.",{},{"id":24,"text":852,"url":24,"identifiers":853},"Ivancic, T. J. and Shaw, S. B.: A U.S. based analysis of the ability of the\nClausius-Clapeyron relationship to exaplin changes in extreme rainfall with\nchanging temperature, J. Geophys. Res.-Atmos., 121, 3066–3078, 2016.",{"doi":854},"10.1002\u002F2015JD024288",{"id":24,"text":856,"url":24,"identifiers":857},"Jacob, D., Petersen, J., Eggert, P., Alias, A., Christensen, O. B., Bouwer,\nL. M., Braun, A., Colette, A., Deque, M., Georgievski, G., Georgopoulou, E.,\nGobiet, A., Menut, L., Nikulin, G., Haensler, A., Hampelmann, N., Jones, C.,\nKeuler, K., Kovats, S., Kroner, N., Kotlarski, S., Kriegsmann, A., Martin,\nE., van Meijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S.,\nRadermacher, C., Radtke, K., Rechid, D., Rounsevell, M., Samuelsson, P.,\nSomot, S., Soussana, J. F., Teichmann, C., Valentini, R., Vautard, R., Weber,\nB., and Yiou, P.: EURO-CORDEX: New high resolution climate change\nprojections for European impact research, Reg. Environ. Change, 14,\n563–578, 2014.",{"doi":858},"10.1007\u002Fs10113-013-0499-2",{"id":24,"text":860,"url":24,"identifiers":861},"Jones, C., Giorgi, F., and Asrar, G.: The COordinated Regional Downscaling\nEXperiment: CORDEX. An international downscaling link to CMIP5, CLIVAR\nExchanges, 16, 34–40, 2011.",{},{"id":24,"text":863,"url":24,"identifiers":864},"Kharin, V. V., Zwiers, F. W., and Zhang, X.: Intercomparison of near surface\ntemperature and precipitation extremes in AMIP-2 simulations, reanalyses and\nobservations, J. Climate, 18, 5201–5233, 2005.",{"doi":865},"10.1175\u002FJCLI3597.1",{"id":24,"text":867,"url":24,"identifiers":868},"Lenderink, G. and van Meijgaard, K.: Increase in hourly extreme\nprecipitaiton beyond expectations from temperature change, Nat.\nGeosci., 1, 511–514, 2008.",{"doi":869},"10.1038\u002Fngeo262",{"id":24,"text":871,"url":24,"identifiers":872},"Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van\nVuuren, D. P., Carter, P. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A.,\nMitchell, J. F. B., Nakicenovic, N., Rihai, K., Smith, S. J., Stouffer, R. J.,\nThompson, A. M., Weyant, J. P., and Willbanks, T. J.: The next generation of\nscenarios for climate change research and assessment, Nature, 463, 747–756,\n2010.",{"doi":873},"10.1038\u002Fnature08823",{"id":24,"text":875,"url":24,"identifiers":876},"Mueller, C. J. and Held, I. M.: Detailed investigation of the\nself-aggregation of convection in cloud-resolving simulations, J. Atmos. Sci.,\n69, 2551–2565, 2012.",{"doi":877},"10.1175\u002FJAS-D-11-0257.1",{"id":24,"text":879,"url":24,"identifiers":880},"Pall, P., Allen, M. R., and Stone, D. A.: Testing the Clausius-Clapeyron\nconstraint on changes in extreme precipitaiton under CO2 warming, Clim.\nDynam., 28, 351–363, 2007.",{"doi":881},"10.1007\u002Fs00382-006-0180-2",{"id":24,"text":883,"url":24,"identifiers":884},"Pendergrass, A. G. and Hartmann, D. L.: Changes in the distribution of rain\nfrequency and intensity in response to global warming, J. Climate, 27,\n8372–8383, 2014.",{"doi":885},"10.1175\u002FJCLI-D-14-00183.1",{"id":24,"text":887,"url":24,"identifiers":888},"Pendergrass, A. G., Knutti, R., Lehner, F., Deser, C., and Sanderson, B. M.:\nPrecipitation variability increases in a warmer climate, Sci. Rep.-UK, 7,\n17966, https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-017-17966-y, 2017.",{"doi":889},"10.1038\u002Fs41598-017-17966-y",{"id":24,"text":891,"url":24,"identifiers":892},"Pfahl, S., O'Gorman, P. A., and Fischer, E. M.: Understanding the regional\npattern of projected future changes in extreme precipitation, Nat. Clim.\nChange, 7, 4230427, https:\u002F\u002Fdoi.org\u002F10.1038\u002Fnclimate3287, 2017.",{"doi":893},"10.1038\u002Fnclimate3287",{"id":24,"text":895,"url":24,"identifiers":896},"Power, S., Delage, F., Chung, C., Kociuba, G., and Keay, K.: Robust\ntwenty-first century projections of El-Nino and related precipitation\nvariability, Nature, 502, 541–545, 2013.",{"doi":897},"10.1038\u002Fnature12580",{"id":24,"text":899,"url":24,"identifiers":900},"Prein, A. F., Langhans, W., Fosser, G., Ferrone, A., Ban, N., Goergen, K.,\nKeller, M., Tolle, M., Gutjahr, O., Feser, F., Brisson, E., Koller, S.,\nSchmidli, J., van Lipzig, N. P. M., and Leung, R.: A review on regional\nconvection-permitting climate modeling: Demonstrations, prospects and\nchallenges, Rev. Geophys., 53, 323–361, 2015.",{"doi":901},"10.1002\u002F2014RG000475",{"id":24,"text":903,"url":24,"identifiers":904},"Raisanen, J.: CO2 – induced changes in interannual temperature and\nprecipitation variability in 19 CMIP2 experiments, J. Climate, 15,\n2395–2411, 2002.",{"doi":905},"10.1175\u002F1520-0442(2002)015\u003C2395:CICIIT>2.0.CO;2",{"id":24,"text":907,"url":24,"identifiers":908},"Rihai, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O'Neill, B. C.,\nFujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Luta, W.,\nPopp, A., Cuaresma, J. C., Samir, K. C., Leimbach, M., Jiang, L., Kram, T.,\nand Rao, S.: The Shared Socioeconomic Pathways and their energy, land use,\nand greenhouse gas emissions implications: An Overview, Global Environ.\nChang., 42, 153–168, 2016.",{"doi":909},"10.1016\u002Fj.gloenvcha.2016.05.009",{"id":24,"text":911,"url":24,"identifiers":912},"Ruti, P., Somot, S., Giorgi, F., Dubois, C., Flaounas, E., Obermann, A.,\nDell'Aquila, A., Pisacane, A., Harzallah, A., Lombardi, E., Ahrens, B.,\nAkhtar, N., Alias, A., Arsouze, T., Aznar, R., Bastin, S., Bartholy, J.,\nBeranger, K., Beuvier, J., Bouffies-Cloche, S., Brauch, J., Cabos, W.,\nCalmanti, S., Calvet, J. C., Carillo, A., Conte, D., Coppola, E., Djurdjevic,\nV., Drobinski, P., Elizalde, A., Gaertner, M., Galan, P., Gallardo, C.,\nGoncalves, M., Gualdi, S., Jorba., O., Jorda, G., Lheveder, B.,\nLebeaupin-Brossier, C., Li, L., Liguori, G., Lionello, P., Macias-Moy, D.,\nNabat, P., Onol, B., Rajkovic, B., Ramage, K., Sevault, F., Sannino, G.,\nStruglia, M. V., Sanna, A., Torma, G., and Vervatis, V.: MED-CORDEX\ninitiative for Mediterranean climate studies, B. Am. Meteorol. Soc., 97,\n1187–1208, 2016.",{"doi":913},"10.1175\u002FBAMS-D-14-00176.1",{"id":24,"text":915,"url":24,"identifiers":916},"Schiemann, R., Demory, M.-E., Shaffrey, L. C., Strachan, J., Vidale, P. L.,\nMizielinski, M. S., Roberts, M. J., Matsueda, M., Wehner, M. F., and Jung, T.:\nThe resolution sensitivity of northern hemisphere blocking in 4 25-km\natmospheric global circulation models, J. Climate, 30, 337–358, 2017.",{"doi":917},"10.1175\u002FJCLI-D-16-0100.1",{"id":24,"text":919,"url":24,"identifiers":920},"Sedalcek, J. and Knutti, R.: Half of the World's population experience\nrobust changes in the water cycle for a 2C warmer World, Environ. Res.\nLett., 9, 044008, https:\u002F\u002Fdoi.org\u002F10.1088\u002F1748-9326\u002F9\u002F4\u002F044008, 2014.",{"doi":921},"10.1088\u002F1748-9326\u002F9\u002F4\u002F044008",{"id":24,"text":923,"url":24,"identifiers":924},"Sillmann, J., Kharin, V. V., Zhang, X., Zwiers, F. W., and Bronaugh, D.:\nClimate extreme indices in the CMIP5 multimodel ensemble. Part I: Model\nevaluation in the present climate, J. Geophys. Res., 118, 1716–1733, 2013a.",{"doi":925},"10.1002\u002Fjgrd.50203",{"id":24,"text":927,"url":24,"identifiers":928},"Sillmann, J., Kharin, V. V., Zwiers, F. V., Zhang, X., and Bronaugh, D.:\nClimate extreme indices in the CMIP5 multimodel ensemble: Part 2. Future\nclimate projections, J. Geophys. Res., 118, 2473–2493, 2013b.",{"doi":929},"10.1002\u002Fjgrd.50188",{"id":24,"text":931,"url":24,"identifiers":932},"Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and the\nExperiment Design, B. Am. Meteorol. Soc., 93, 485–498, 2012.",{"doi":572},{"id":24,"text":934,"url":24,"identifiers":935},"Tebaldi, C., Hayhoe, K., Arblaster, J. M., and Meehl, G. A.: Going to the\nextremes: An intercomparison of model-simulated historical and future\nchanges in extreme events, Clim. Change, 79, 185–211, 2006.",{"doi":936},"10.1007\u002Fs10584-006-9051-4",{"id":24,"text":938,"url":24,"identifiers":939},"Thackeray, C. W., DeAngelis, A. M., Hall, A., Swain, D. L., and Qu, X.: On the\nconnection between global hydrologic sensitivity and regional wet extremes,\nGeophys. Res. Lett., 45, 20, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2018GL079698, 2018.",{"doi":940},"10.1029\u002F2018GL079698",{"id":24,"text":942,"url":24,"identifiers":943},"Trenberth, K. E.: Conceptual framework for changes of extremes of the\nhydrological cycle with climate change, Clim. Change, 42, 327–339, 1999.",{"doi":944},"10.1007\u002F978-94-015-9265-9_18",{"id":24,"text":946,"url":24,"identifiers":947},"Trenberth, K. E.: Changes in precipitation with climate change, Clim. Res.,\n47, 123–138, 2011.",{"doi":948},"10.3354\u002Fcr00953",{"id":24,"text":950,"url":24,"identifiers":951},"Trenberth, K. E., Dai, A., Rasmussen, R. M., and Parsons, D. B.: The changing\ncharacter of precipitation, B. Am. Meteorol. Soc., 84, 1205–1217, 2003.",{"doi":952},"10.1175\u002FBAMS-84-9-1205",{"id":24,"text":954,"url":24,"identifiers":955},"Trenberth, K. E., Smith, L., Qian, T., Dai, A., and Fasullo, J.: Estimates of\nthe global water budegt and its annual cycle using observational and model\ndata, J. Hydrometeorol., 8, 758–769, 2007.",{"doi":956},"10.1175\u002FJHM600.1",{"id":24,"text":958,"url":24,"identifiers":959},"Warner, T. T.: Numerical Weather and Climate Prediction, Cambridge University\nPress, Cambridge, UK, 526 pp., 2010.",{"doi":960},"10.1017\u002FCBO9780511763243",{"id":24,"text":962,"url":24,"identifiers":963},"Wehner, M. F., Smith, R. L., Bala, G., and Duffy, P.: The effect of horizontal\nresolution on simulaiton of very extreme US precipitation events in a global\natmosphere model, Clim. Dynam., 24, 241–247, 2010.",{"doi":964},"10.1007\u002Fs00382-009-0656-y",{"id":966,"createTime":967,"updateTime":967,"relativeEntities":968,"slug":969,"properties":970,"entityType":108,"verifyStatus":109,"verifyTime":967,"verifyNote":111,"syncStatus":23,"languages":982,"translateLanguages":24,"viewCount":25,"primaryUrl":983,"fullTextUrl":24,"authors":984,"publicationType":185,"publisherRelationship":1285,"citationCount":1318,"citationInfo":1319,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":1329,"isForceReanalyzing":421},"55bfeae0-60e7-4c61-88c1-f34a2e58c533","2024-11-25T12:16:21.652+00:00",[],"Differential-climate-impacts-for-policy-relevant-limits-to-global-warming-the-case-of-1-5-C-and-2-C",{"mag":971,"keywords":973,"openalex":974,"abstract":976,"title":978,"doi":980},{"VOID":972},"2180539426",{},{"VOID":975},"W2180539426",{"EN":977},"\u003Cjats:p>Abstract. Robust appraisals of climate impacts at different levels of global-mean temperature increase are vital to guide assessments of dangerous anthropogenic interference with the climate system. The 2015 Paris Agreement includes a two-headed temperature goal: \"holding the increase in the global average temperature to well below 2 °C above pre-industrial levels and pursuing efforts to limit the temperature increase to 1.5 °C\". Despite the prominence of these two temperature limits, a comprehensive overview of the differences in climate impacts at these levels is still missing. Here we provide an assessment of key impacts of climate change at warming levels of 1.5 °C and 2 °C, including extreme weather events, water availability, agricultural yields, sea-level rise and risk of coral reef loss. Our results reveal substantial differences in impacts between a 1.5 °C and 2 °C warming that are highly relevant for the assessment of dangerous anthropogenic interference with the climate system. For heat-related extremes, the additional 0.5 °C increase in global-mean temperature marks the difference between events at the upper limit of present-day natural variability and a new climate regime, particularly in tropical regions. Similarly, this warming difference is likely to be decisive for the future of tropical coral reefs. In a scenario with an end-of-century warming of 2 °C, virtually all tropical coral reefs are projected to be at risk of severe degradation due to temperature-induced bleaching from 2050 onwards. This fraction is reduced to about 90 % in 2050 and projected to decline to 70 % by 2100 for a 1.5 °C scenario. Analyses of precipitation-related impacts reveal distinct regional differences and hot-spots of change emerge. Regional reduction in median water availability for the Mediterranean is found to nearly double from 9 % to 17 % between 1.5 °C and 2 °C, and the projected lengthening of regional dry spells increases from 7 to 11 %. Projections for agricultural yields differ between crop types as well as world regions. While some (in particular high-latitude) regions may benefit, tropical regions like West Africa, South-East Asia, as well as Central and northern South America are projected to face substantial local yield reductions, particularly for wheat and maize. Best estimate sea-level rise projections based on two illustrative scenarios indicate a 50 cm rise by 2100 relative to year 2000-levels for a 2 °C scenario, and about 10 cm lower levels for a 1.5 °C scenario. In a 1.5 °C scenario, the rate of sea-level rise in 2100 would be reduced by about 30 % compared to a 2 °C scenario. Our findings highlight the importance of regional differentiation to assess both future climate risks and different vulnerabilities to incremental increases in global-mean temperature. The article provides a consistent and comprehensive assessment of existing projections and a good basis for future work on refining our understanding of the difference between impacts at 1.5 °C and 2 °C warming.\u003C\u002Fjats:p>",{"EN":979},"Differential climate impacts for policy-relevant limits to global warming: the case of 1.5 °C and 2 °C",{"VOID":981},"10.5194\u002Fesd-7-327-2016",[113],"https:\u002F\u002Fesd.copernicus.org\u002Farticles\u002F7\u002F327\u002F2016\u002F",[985,1008,1042,1074,1098,1131,1155,1171,1194,1217,1234,1251,1268],{"id":986,"sortIndex":987,"researcher":24,"roles":988,"affiliations":989,"properties":1001},"58171a54-9a25-4228-95cd-454ec55cce1b",9,[],[990],{"id":991,"sortIndex":25,"affiliation":992,"properties":24},"e3b84d4b-d4d3-4914-9e77-f40ef8117e34",{"id":993,"createTime":994,"updateTime":995,"relativeEntities":996,"slug":997,"properties":998,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"41a5642d-46ea-4baa-8632-b0e8fb8fd4c9","2024-01-17T20:17:11.170+00:00","2025-01-03T04:07:38.278+00:00",[],"Potsdam-Institute-for-Climate-Impact-Research-Potsdam-Germany",{"title":999},{"VI":1000},"Potsdam Institute for Climate Impact Research, Potsdam, Germany",{"openalex":1002,"orcid":1004,"title":1006},{"VOID":1003},"A5051216717",{"VOID":1005},"https:\u002F\u002Forcid.org\u002F0000-0003-4869-3013",{"EN":1007},"Katja Frieler",{"id":1009,"sortIndex":1010,"researcher":24,"roles":1011,"affiliations":1012,"properties":1035},"b75430be-e5e4-4e4f-b245-633b7d41a052",6,[],[1013,1024],{"id":1014,"sortIndex":140,"affiliation":1015,"properties":24},"e93357e7-4d44-4406-b82b-08ccaa8d750f",{"id":1016,"createTime":1017,"updateTime":1018,"relativeEntities":1019,"slug":1020,"properties":1021,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"ca7bd7aa-1659-4821-800d-f4ef81b89f4d","2024-04-16T19:36:43.274+00:00","2025-02-10T16:42:41.145+00:00",[],"Institute-for-Atmospheric-and-Climate-Science-ETH-Zurich-Zurich-Switzerland",{"title":1022},{"EN":1023},"Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland",{"id":1025,"sortIndex":25,"affiliation":1026,"properties":24},"bf59e2c5-998c-4292-bc11-3e460d3c422e",{"id":1027,"createTime":1028,"updateTime":1029,"relativeEntities":1030,"slug":1031,"properties":1032,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"aef16640-c10b-4dc4-808c-a3976eaa6741","2024-04-15T00:14:04.868+00:00","2024-11-25T12:16:21.744+00:00",[],"Energy-Program-International-Institute-for-Applied-Systems-Analysis-Laxenburg-Austria",{"title":1033},{"EN":1034},"Energy Program, International Institute for Applied Systems Analysis, Laxenburg, Austria",{"openalex":1036,"orcid":1038,"title":1040},{"VOID":1037},"A5017820045",{"VOID":1039},"https:\u002F\u002Forcid.org\u002F0000-0003-2056-9061",{"EN":1041},"Joeri Rogelj",{"id":1043,"sortIndex":1044,"researcher":24,"roles":1045,"affiliations":1046,"properties":1067},"766bd552-ff1c-46e0-8e66-f185fe3914b7",12,[],[1047,1057],{"id":1048,"sortIndex":25,"affiliation":1049,"properties":24},"83b22a5e-249b-44bd-8d0c-9c368463d379",{"id":1050,"createTime":1051,"updateTime":1051,"relativeEntities":1052,"slug":1053,"properties":1054,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"bc60763d-370b-4033-8787-114d043350f8","2024-11-25T12:16:21.670+00:00",[],"Climate-Analytics-Friedrichstr-%C3%82-231-%C3%A2-Haus%C3%82-B-10969-Berlin-Germany",{"title":1055},{"EN":1056},"Climate Analytics, Friedrichstr. 231 – Haus B, 10969 Berlin, Germany",{"id":1058,"sortIndex":140,"affiliation":1059,"properties":24},"e5023ab3-d2df-4dd7-b494-46dc1dfaf084",{"id":1060,"createTime":1061,"updateTime":1061,"relativeEntities":1062,"slug":1063,"properties":1064,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"c88e73d0-1b86-4ae9-881f-609bcd6ef1ec","2024-11-25T12:16:21.796+00:00",[],"Wageningen-University-and-Research-Centre-Environmental-Systems-Analysis-Group-Wageningen-the-Netherlands",{"title":1065},{"EN":1066},"Wageningen University and Research Centre, Environmental Systems Analysis Group,  Wageningen, the Netherlands",{"openalex":1068,"orcid":1070,"title":1072},{"VOID":1069},"A5020118368",{"VOID":1071},"https:\u002F\u002Forcid.org\u002F0000-0003-0052-5088",{"EN":1073},"Michiel 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Lett., 39, 1–6, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2012GL051230, 2012.",{"doi":1783},"10.1029\u002F2012GL051230",{"id":24,"text":1785,"url":24,"identifiers":1786},"Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., and Schewe, J.: The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): Project framework, P. Natl. Acad. Sci. USA, 111, 3228–3232, https:\u002F\u002Fdoi.org\u002F10.1073\u002Fpnas.1312330110, 2014.",{"doi":1787},"10.1073\u002Fpnas.1312330110",{"id":24,"text":1789,"url":24,"identifiers":1790},"Werner, A. D., Bakker, M., Post, V. E. A., Vandenbohede, A., Lu, C., Ataie-Ashtiani, B., Simmons, C. T., and Barry, D. A.: Seawater intrusion processes, investigation and management: Recent advances and future challenges, Adv. Water Resour., 51, 3-26, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.advwatres.2012.03.004, 2013.",{"doi":1791},"10.1016\u002Fj.advwatres.2012.03.004",{"id":24,"text":1793,"url":24,"identifiers":1794},"Wigley, T. M. L. and Raper, S. C. B.: Extended scenarios for glacier melt due to anthropogenic forcing, Geophys. Res. Lett., 32, L05704, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2004GL021238, 2005.",{"doi":1795},"10.1029\u002F2004GL021238",{"id":24,"text":1797,"url":24,"identifiers":1798},"Zhang, X., Alexander, L., Hegerl, G. C., Jones, P., Tank, A. K., Peterson, T. C., Trewin, B., and Zwiers, F. W.: Indices for monitoring changes in extremes based on daily temperature and precipitation data, Wiley Interdisciplinary Reviews: Climate Change, 2, 851–870, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fwcc.147, 2011.",{"doi":1799},"10.1002\u002Fwcc.147",{"id":24,"text":1801,"url":24,"identifiers":1802},"Zopa, S., Schulz, Y. B. M., and Cugnet, S. B. D.: Aerosol and ozone changes as forcing for climate evolution between 1850 and 2100, Clim. Dynam., 40, 2223–2250, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00382-012-1408-y, 2013.",{"doi":1341},{"id":1804,"createTime":1805,"updateTime":1805,"relativeEntities":1806,"slug":1807,"properties":1808,"entityType":108,"verifyStatus":109,"verifyTime":1820,"verifyNote":111,"syncStatus":23,"languages":1821,"translateLanguages":24,"viewCount":25,"primaryUrl":1822,"fullTextUrl":24,"authors":1823,"publicationType":185,"publisherRelationship":1898,"citationCount":1930,"citationInfo":1931,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":1940,"isForceReanalyzing":421},"b5c4c9bd-2cd0-45d9-918e-b95beca6f52f","2024-08-31T08:56:16.327+00:00",[],"Global-modeling-of-withdrawal-allocation-and-consumptive-use-of-surface-water-and-groundwater-resources",{"mag":1809,"keywords":1811,"openalex":1812,"abstract":1814,"title":1816,"doi":1818},{"VOID":1810},"2153971255",{},{"VOID":1813},"W2153971255",{"EN":1815},"\u003Cjats:p>Abstract. To sustain growing food demand and increasing standard of living, global water withdrawal and consumptive water use have been increasing rapidly. To analyze the human perturbation on water resources consistently over large scales, a number of macro-scale hydrological models (MHMs) have been developed in recent decades. However, few models consider the interaction between terrestrial water fluxes, and human activities and associated water use, and even fewer models distinguish water use from surface water and groundwater resources. Here, we couple a global water demand model with a global hydrological model and dynamically simulate daily water withdrawal and consumptive water use over the period 1979–2010, using two re-analysis products: ERA-Interim and MERRA. We explicitly take into account the mutual feedback between supply and demand, and implement a newly developed water allocation scheme to distinguish surface water and groundwater use. Moreover, we include a new irrigation scheme, which works dynamically with a daily surface and soil water balance, and incorporate the newly available extensive Global Reservoir and Dams data set (GRanD). Simulated surface water and groundwater withdrawals generally show good agreement with reported national and subnational statistics. The results show a consistent increase in both surface water and groundwater use worldwide, with a more rapid increase in groundwater use since the 1990s. Human impacts on terrestrial water storage (TWS) signals are evident, altering the seasonal and interannual variability. This alteration is particularly large over heavily regulated basins such as the Colorado and the Columbia, and over the major irrigated basins such as the Mississippi, the Indus, and the Ganges. Including human water use and associated reservoir operations generally improves the correlation of simulated TWS anomalies with those of the GRACE observations.\n                    \u003C\u002Fjats:p>",{"EN":1817},"Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources",{"VOID":1819},"10.5194\u002Fesd-5-15-2014","2024-08-31T08:56:16.326+00:00",[113],"https:\u002F\u002Fesd.copernicus.org\u002Farticles\u002F5\u002F15\u002F2014\u002F",[1824,1855,1877],{"id":1825,"sortIndex":140,"researcher":24,"roles":1826,"affiliations":1827,"properties":1848},"832beba4-cfee-4a8e-8643-b16e95c67fdb",[],[1828,1838],{"id":1829,"sortIndex":140,"affiliation":1830,"properties":24},"15eb8cb6-7972-4bdc-84c5-6a744b332640",{"id":1831,"createTime":1832,"updateTime":1832,"relativeEntities":1833,"slug":1834,"properties":1835,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"20fe139d-2bd4-43b9-8430-8b5069db1c57","2024-08-31T08:56:16.435+00:00",[],"Institute-for-the-Study-of-Earth-Oceans-and-Space-University-of-New-Hampshire-Durham-USA-8-College-Road-Durham-NH-03824-3525-USA",{"title":1836},{"EN":1837},"Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, USA, 8 College Road, Durham,  NH 03824-3525, USA",{"id":1839,"sortIndex":25,"affiliation":1840,"properties":24},"11d19544-59e7-4bfa-a156-8cdcbc00eb20",{"id":1841,"createTime":1842,"updateTime":1842,"relativeEntities":1843,"slug":1844,"properties":1845,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"875d5c03-1749-4afa-b0e7-bb251f18891f","2024-08-31T08:56:16.430+00:00",[],"Center-for-Development-Research-ZEF-University-of-Bonn-Bonn-Germany-Walter-Flex-Street-3-53113-Bonn-Germany",{"title":1846},{"EN":1847},"Center for Development Research (ZEF), University of Bonn, Bonn, Germany, Walter-Flex-Street 3,  53113 Bonn, Germany",{"openalex":1849,"orcid":1851,"title":1853},{"VOID":1850},"A5061867870",{"VOID":1852},"https:\u002F\u002Forcid.org\u002F0000-0001-8368-3801",{"EN":1854},"Dominik Wisser",{"id":1856,"sortIndex":169,"researcher":24,"roles":1857,"affiliations":1858,"properties":1870},"b154fac2-2492-45bc-897a-8e925a595b09",[],[1859],{"id":1860,"sortIndex":25,"affiliation":1861,"properties":24},"e9e77d18-4c55-4736-8fe0-ce0b9be81e23",{"id":1862,"createTime":1863,"updateTime":1864,"relativeEntities":1865,"slug":1866,"properties":1867,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"fd30ca15-e782-4564-bae5-8704868f3e5f","2024-08-31T08:56:16.548+00:00","2024-12-04T15:54:56.888+00:00",[],"Unit-Soil-and-Groundwater-Systems-Deltares-Princetonlaan-6-3584-CB-Utrecht-the-Netherlands",{"title":1868},{"EN":1869},"Unit Soil and Groundwater Systems, Deltares,  Princetonlaan 6, 3584 CB Utrecht, the Netherlands",{"openalex":1871,"orcid":1873,"title":1875},{"VOID":1872},"A5080638739",{"VOID":1874},"https:\u002F\u002Forcid.org\u002F0000-0002-7411-6562",{"EN":1876},"Marc F. P. Bierkens",{"id":1878,"sortIndex":25,"researcher":24,"roles":1879,"affiliations":1880,"properties":1891},"66d7af90-cf79-4189-bd15-df4e1c596fdf",[],[1881],{"id":1882,"sortIndex":25,"affiliation":1883,"properties":24},"090b03be-3e2f-417a-a726-5e56ab5796a0",{"id":1884,"createTime":1885,"updateTime":1885,"relativeEntities":1886,"slug":1887,"properties":1888,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"cc880251-e256-4d5c-8071-88acc3cd438e","2024-08-31T08:56:16.395+00:00",[],"Department-of-Physical-Geography-Utrecht-University-Utrecht-Heidelberglaan-2-3584-CS-Utrecht-the-Netherlands",{"title":1889},{"EN":1890},"Department of Physical Geography, Utrecht University, Utrecht, Heidelberglaan 2, 3584 CS Utrecht, the Netherlands",{"openalex":1892,"orcid":1894,"title":1896},{"VOID":1893},"A5032181031",{"VOID":1895},"https:\u002F\u002Forcid.org\u002F0000-0003-4770-2539",{"EN":1897},"Yoshihide Wada",{"url":24,"publisher":1899,"properties":1924},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1900,"slug":10,"properties":1901,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":1907,"manageAffiliations":1908,"indexDatabases":1909,"url":86,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":1902,"issn":1903,"introduce":1904,"eissn":1905,"title":1906},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[1910,1917],{"id":49,"indexDatabase":1911,"url":64,"indexYears":24,"academicFieldIds":1916,"indexDatabaseRanking":24},{"id":51,"createTime":52,"updateTime":53,"relativeEntities":1912,"label":1913,"description":1914,"key":60,"publicationTags":1915,"standard":24},[],{"EN":56,"VI":56},{"VI":58,"EN":59},[62,63],[66],{"id":68,"indexDatabase":1918,"url":81,"indexYears":82,"academicFieldIds":1923,"indexDatabaseRanking":85},{"id":70,"createTime":71,"updateTime":72,"relativeEntities":1919,"label":1920,"description":1921,"key":78,"publicationTags":1922,"standard":24},[],{"EN":75,"VI":75},{"EN":75,"VI":77},[80],[84],{"volume":1925,"pages":1927,"issue":1929},{"VOID":1926},"5",{"VOID":1928},"15-40",{"VOID":218},644,{"total":1930,"publishYear":24,"statisticByYear":1932},{"2014":225,"2015":1933,"2016":1934,"2017":721,"2018":723,"2019":721,"2020":1935,"2021":1936,"2022":1937,"2023":1938,"2024":1939},41,29,82,123,83,57,42,[1941,1945,1949,1953,1956,1960,1964,1968,1971,1974,1977,1981,1985,1989,1993,1996,2000,2003,2007,2011,2015,2019,2022,2026,2030,2034,2038,2042,2046,2049,2052,2055,2058,2062,2066,2069,2073,2077,2081,2085,2088,2092,2096,2100,2104,2108,2112,2116,2120,2123,2127,2131,2134,2138,2142,2146,2150,2154,2158,2161,2165,2168,2172,2175,2179,2183,2187,2191,2194,2197,2201,2205,2209,2213,2216,2219,2223,2227,2230,2234,2238,2241,2244,2248,2252,2255,2259,2263,2267,2270,2274,2278,2282,2285,2289,2293,2296,2300,2303,2307,2311,2315,2319,2323,2326,2330,2334,2338,2342,2345,2348,2352,2355],{"id":24,"text":1942,"url":24,"identifiers":1943},"Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrol. Sci. J., 48, 317–337, 2003a.",{"doi":1944},"10.1623\u002Fhysj.48.3.317.45290",{"id":24,"text":1946,"url":24,"identifiers":1947},"Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Global estimation of water withdrawals and availability under current and "business as usual" conditions, Hydrol. Sci. J., 48, 339–348, 2003b.",{"doi":1948},"10.1623\u002Fhysj.48.3.339.45278",{"id":24,"text":1950,"url":24,"identifiers":1951},"Alcamo, J., Flörke, M., and Märker, M.: Future long-term changes in global water resources driven by socio-economic and climatic changes, Hydrol. Sci. J., 52, 247–275, 2007.",{"doi":1952},"10.1623\u002Fhysj.52.2.247",{"id":24,"text":1954,"url":24,"identifiers":1955},"Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper 56, FAO, Rome, 1998.",{},{"id":24,"text":1957,"url":24,"identifiers":1958},"Anderson, R. G., Lo, M.-H., and Famiglietti, J. S.: Assessing surface water consumption using remotely-sensed groundwater, evapotranspiration, and precipitation, Geophys. Res. Lett., 39, L16401, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2012GL052400, 2012.",{"doi":1959},"10.1029\u002F2012GL052400",{"id":24,"text":1961,"url":24,"identifiers":1962},"Arnell, N. W.: Climate change and global water resources, Global Environ. Change, 9, 31–49, 1999.",{"doi":1963},"10.1016\u002FS0959-3780(99)00017-5",{"id":24,"text":1965,"url":24,"identifiers":1966},"Arnell, N. W.: Climate change and global water resources: SRES emissions and socio-economic scenarios, Global Environ. Change, 14, 31–52, 2004.",{"doi":1967},"10.1016\u002Fj.gloenvcha.2003.10.006",{"id":24,"text":1969,"url":24,"identifiers":1970},"Aslam, M.: Waterlogging and salinity management in the Sindh Province, Pakistan, Report No-70.1a, International Irrigation Management Institute, Colombo, Sri Lanka, 1998.",{},{"id":24,"text":1972,"url":24,"identifiers":1973},"Batjes, N. H.: ISRIC-WISE – Global data set of derived soil properties on a 0.5 by 0.5 degree grid (Version 3.0), Report 2005\u002F08, ISRIC – World Soil Information, Wageningen, The Netherlands, available at: http:\u002F\u002Fwww.isric.org\u002Fdata\u002Fisric-wise-global-data-set-derived-soil-properties-05, 2005.",{},{"id":24,"text":1975,"url":24,"identifiers":1976},"Bergström, S.: The HBV model, in: Computer Models of Watershed Hydrology, edited by: Singh, V. P., 443–476, Water Resour. Publ., Highlands Ranch, Colo, 1995.",{},{"id":24,"text":1978,"url":24,"identifiers":1979},"Bhadoria, P. B. S.: Effect of Compaction and Tillage on the Yield and Percolation Loss of Rice in Lateritic Sandy Loam Soil, J. Agronomy Crop Science, 156, 45–49, 1986.",{"doi":1980},"10.1111\u002Fj.1439-037X.1986.tb00006.x",{"id":24,"text":1982,"url":24,"identifiers":1983},"Bondeau, A., Smith, P. C., Zaehle, S., Schaphoff, S., Lucht, W., Cramer, W., Gerten, D., Reichstein, M., and Smith, B.: Modelling the role of agriculture for the 20th century, Global Change Biol., 13, 679–706, https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1365-2486.2006.01305.x, 2007.",{"doi":1984},"10.1111\u002Fj.1365-2486.2006.01305.x",{"id":24,"text":1986,"url":24,"identifiers":1987},"Campos, J.: Modeling the Yield-Evaporation-Spill in the Reservoir Storage Process: The Regulation Triangle Diagram, Water Resour. Manage., 24, 3487–3511, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11269-010-9616-x, 2010.",{"doi":1988},"10.1007\u002Fs11269-010-9616-x",{"id":24,"text":1990,"url":24,"identifiers":1991},"Clapp, R. B. and Hornberger, G. M.: Empirical equations for some soil hydraulic properties, Water Resour. Res., 14, 601–604, 1978.",{"doi":1992},"10.1029\u002FWR014i004p00601",{"id":24,"text":1994,"url":24,"identifiers":1995},"Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fqj.828, 2011.",{"doi":270},{"id":24,"text":1997,"url":24,"identifiers":1998},"Döll, P.: Vulnerability to the impact of climate change on renewable groundwater resources: a global-scale assessment, Environ. Res. Lett., 4, 035006, https:\u002F\u002Fdoi.org\u002F10.1088\u002F1748-9326\u002F4\u002F3\u002F035006, 2009.",{"doi":1999},"10.1088\u002F1748-9326\u002F4\u002F3\u002F035006",{"id":24,"text":2001,"url":24,"identifiers":2002},"Döll, P. and Siebert, S.: A digital global map of irrigated areas, ICID J., 49, 55–66, 2000.",{},{"id":24,"text":2004,"url":24,"identifiers":2005},"Döll, P. and Siebert, S.: Global modeling of irrigation water requirements, Water Resour. Res., 38, 8.1–8.10, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2001WR000355, 2002.",{"doi":2006},"10.1029\u002F2001WR000355",{"id":24,"text":2008,"url":24,"identifiers":2009},"Döll, P., Kaspar, F., and Lehner, B.: A global hydrological model for deriving water availability indicators: model tuning and validation, J. Hydrol., 270, 105–134, 2003.",{"doi":2010},"10.1016\u002FS0022-1694(02)00283-4",{"id":24,"text":2012,"url":24,"identifiers":2013},"Döll, P., Fiedler, K., and Zhang, J.: Global-scale analysis of river flow alterations due to water withdrawals and reservoirs, Hydrol. Earth Syst. Sci., 13, 2413–2432, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-13-2413-2009, 2009.",{"doi":2014},"10.5194\u002Fhess-13-2413-2009",{"id":24,"text":2016,"url":24,"identifiers":2017},"Döll, P., Hoffmann-Dobrev, H., Portmann, F. T., Siebert, S., Eicker, A., Rodell, M., and Strassberg, G.: Impact of water withdrawals from groundwater and surface water on continental water storage variations, J. Geodyn., 59–60, 143–156. 2012.",{"doi":2018},"10.1016\u002Fj.jog.2011.05.001",{"id":24,"text":2020,"url":24,"identifiers":2021},"Doorenbos, J. and Pruitt, W. O.: Crop water requirements, Irrig. Drain. Pap. 24, FAO, Rome, 1977.",{},{"id":24,"text":2023,"url":24,"identifiers":2024},"Dürr, H. H., Meybeck, M., and D'urr, S. H.: Lithologic composition of the Earth's continental surfaces derived from a new digital map emphasizing riverine material transfer, Global Biogeochem. Cy., 19, GB4S10, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2005GB002515, 2005.",{"doi":2025},"10.1029\u002F2005GB002515",{"id":24,"text":2027,"url":24,"identifiers":2028},"Evans, L. T.: Adapting and improving crops: The endless task, Philos. Trans. R. Soc. Lond., B Biol. Sci., 352, 901–906, https:\u002F\u002Fdoi.org\u002F10.1098\u002Frstb.1997.0069, 1997.",{"doi":2029},"10.1098\u002Frstb.1997.0069",{"id":24,"text":2031,"url":24,"identifiers":2032},"Falkenmark, M., Kijne, J. W., Taron, B., Murdoch, G., Sivakumar, M. V. K., and Craswell, E.: Meeting Water Requirements of an Expanding World Population [and Discussion], Philos. T. Roy. Soc. Lond. B., 352, 929–936, 1997.",{"doi":2033},"10.1098\u002Frstb.1997.0072",{"id":24,"text":2035,"url":24,"identifiers":2036},"Famiglietti, J. S., Lo, M. Ho, S. L., Bethune, J., Anderson, K. J., Syed, T. H., Swenson, S. C., de Linage, C. R., and Rodell, M.: Satellites measure recent rates of groundwater depletion in California's Central Valley, Geophys. Res. 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Sci., 14, 1–24, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-14-1-2010, 2010.",{"doi":2341},"10.5194\u002Fhess-14-1-2010",{"id":24,"text":2343,"url":24,"identifiers":2344},"World Resources Institute (WRI): World Resources: A Guide to the Global Environment 1998–99, World Resources Institute, Washington DC, USA, 1998.",{},{"id":24,"text":2346,"url":24,"identifiers":2347},"World Water Assessment Programme (WWAP): Water for people: Water for life, The United Nations World Water Development Report, UNESCO, Paris, France, 2003.",{},{"id":24,"text":2349,"url":24,"identifiers":2350},"Yates, D. N.: Approaches to continental scale runoff for integrated assessment models, J. Hydrol., 291, 289–310, 1997.",{"doi":2351},"10.1016\u002FS0022-1694(97)00044-9",{"id":24,"text":2353,"url":24,"identifiers":2354},"You, L., Wood, S., and Wood-Sichra, U.: Generating global crop distribution maps: from census to grid, in: Selected paper at IAAE 2006 Conference, Brisbane, Australia, 2006.",{},{"id":24,"text":2356,"url":24,"identifiers":2357},"Zektser, I. S. and Everett, L. G. (Eds.): Groundwater Resources of the World and Their Use, IHP-VI, Series on Groundwater No. 6, UNESCO, Paris, France, 2004.",{},{"id":2359,"createTime":2360,"updateTime":2360,"relativeEntities":2361,"slug":2362,"properties":2363,"entityType":108,"verifyStatus":109,"verifyTime":2360,"verifyNote":111,"syncStatus":23,"languages":2375,"translateLanguages":24,"viewCount":25,"primaryUrl":2376,"fullTextUrl":24,"authors":2377,"publicationType":185,"publisherRelationship":2420,"citationCount":2451,"citationInfo":2452,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":2454,"isForceReanalyzing":421},"2ca9695a-4848-4016-9d88-cab53ac9ae00","2024-10-02T06:10:49.687+00:00",[],"Gender-and-climate-change-in-the-Indian-Himalayas-global-threats-local-vulnerabilities-and-livelihood-diversification-at-the-Nanda-Devi-Biosphere-Reserve",{"mag":2364,"keywords":2366,"openalex":2367,"abstract":2369,"title":2371,"doi":2373},{"VOID":2365},"1652632795",{},{"VOID":2368},"W1652632795",{"EN":2370},"\u003Cjats:p>Abstract. Global climate change has numerous implications for members of mountain communities who feel the impacts in both physical and social dimensions. In the western Himalayas of India, a majority of residents maintain a livelihood strategy that includes a combination of subsistence or small-scale agriculture, livestock rearing, seasonal or long-term migration, and localized natural resource extraction. While warming temperatures, irregular patterns of precipitation and snowmelt, and changing biological systems present challenges to the viability of these traditional livelihood portfolios in general, we find that climate change is also undermining local communities' livelihood assets in gender-specific ways. In this paper, we present a case study from the Nanda Devi Biosphere Reserve (Uttarakhand, India) that both outlines the implications of climate change for women farmers in the area and highlights the potential for ecotourism (as a form of livelihood diversification) to strengthen both key livelihood assets of women and local communities' adaptive capacity more broadly. The paper intentionally employs a categorical focus on women but also addresses issues of inter-group and gender diversity. With this special issue in mind, suggestions for related research are proposed for consideration by climate scientists and social systems and\u002For policy modelers seeking to support gender justice through socially transformative perspectives and frameworks.\u003C\u002Fjats:p>",{"EN":2372},"Gender and climate change in the Indian Himalayas: global threats, local vulnerabilities, and livelihood diversification at the Nanda Devi Biosphere Reserve",{"VOID":2374},"10.5194\u002Fesd-6-505-2015",[113],"https:\u002F\u002Fesd.copernicus.org\u002Farticles\u002F6\u002F505\u002F2015\u002F",[2378,2399],{"id":2379,"sortIndex":140,"researcher":24,"roles":2380,"affiliations":2381,"properties":2392},"941bcab1-72d0-4c79-aa2f-794ee7f0b3df",[],[2382],{"id":2383,"sortIndex":25,"affiliation":2384,"properties":24},"a82c7901-add0-4322-a4bb-3a6dbf2156ee",{"id":2385,"createTime":2386,"updateTime":2386,"relativeEntities":2387,"slug":2388,"properties":2389,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"16376038-da6f-48c7-a27e-e2b8656373b5","2024-10-02T06:10:49.732+00:00",[],"Department-of-Ecodevelopment-Planning-and-Participatory-Management-Wildlife-Institute-of-India-Chandrabani-248001-Dehra-Dun-Uttarakhand-India",{"title":2390},{"EN":2391},"Department of Ecodevelopment Planning and Participatory Management, Wildlife Institute of India, Chandrabani, 248001 Dehra Dun, Uttarakhand, India",{"openalex":2393,"orcid":2395,"title":2397},{"VOID":2394},"A5040541084",{"VOID":2396},"https:\u002F\u002Forcid.org\u002F0000-0001-7124-5134",{"EN":2398},"Ruchi Badola",{"id":2400,"sortIndex":25,"researcher":24,"roles":2401,"affiliations":2402,"properties":2413},"728f3e25-e389-4a6b-a27f-1a4d021f0122",[],[2403],{"id":2404,"sortIndex":25,"affiliation":2405,"properties":24},"6bbf7a83-e9ca-40fc-899e-c1ca90d27953",{"id":2406,"createTime":2407,"updateTime":2407,"relativeEntities":2408,"slug":2409,"properties":2410,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"3b62d474-58a1-44c4-aaeb-55a3bea08ae5","2024-10-02T06:10:49.713+00:00",[],"Department-of-Environmental-Studies-Gettysburg-College-Box-2455-300-N-Washington-Street-Gettysburg-PA-17325-USA",{"title":2411},{"EN":2412},"Department of Environmental Studies, Gettysburg College, Box 2455, 300 N. Washington Street, Gettysburg, PA 17325, USA",{"openalex":2414,"orcid":2416,"title":2418},{"VOID":2415},"A5023826107",{"VOID":2417},"https:\u002F\u002Forcid.org\u002F0000-0001-8703-5780",{"EN":2419},"Monica V. Ogra",{"url":24,"publisher":2421,"properties":2446},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":2422,"slug":10,"properties":2423,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":2429,"manageAffiliations":2430,"indexDatabases":2431,"url":86,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":2424,"issn":2425,"introduce":2426,"eissn":2427,"title":2428},{"VOID":13},{"VOID":15},{"EN":17},{"VOID":19},{"EN":21},[],[],[2432,2439],{"id":49,"indexDatabase":2433,"url":64,"indexYears":24,"academicFieldIds":2438,"indexDatabaseRanking":24},{"id":51,"createTime":52,"updateTime":53,"relativeEntities":2434,"label":2435,"description":2436,"key":60,"publicationTags":2437,"standard":24},[],{"EN":56,"VI":56},{"VI":58,"EN":59},[62,63],[66],{"id":68,"indexDatabase":2440,"url":81,"indexYears":82,"academicFieldIds":2445,"indexDatabaseRanking":85},{"id":70,"createTime":71,"updateTime":72,"relativeEntities":2441,"label":2442,"description":2443,"key":78,"publicationTags":2444,"standard":24},[],{"EN":75,"VI":75},{"EN":75,"VI":77},[80],[84],{"volume":2447,"pages":2448,"issue":2450},{"VOID":214},{"VOID":2449},"505-523",{"VOID":1317},46,{"total":2451,"publishYear":24,"statisticByYear":2453},{"2016":725,"2017":140,"2018":169,"2019":222,"2020":1010,"2021":1010,"2022":1010,"2023":225,"2024":222},[2455,2459,2462,2466,2469,2473,2477,2481,2484,2488,2492,2495,2498,2502,2505,2508,2511,2514,2518,2522,2525,2529,2533,2537,2540,2543,2546,2550,2553,2557,2561,2564,2567,2570,2573,2577,2581,2584,2587,2591,2594,2597,2600,2603,2606,2609,2613,2616,2620,2623,2627,2631,2634,2637,2641,2645,2649,2652,2656,2660,2663,2667,2670,2674,2677,2680,2684,2687,2691,2694,2697,2700,2703,2706,2710,2713],{"id":24,"text":2456,"url":24,"identifiers":2457},"Adger, W. 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Dev., 31, 351–356, 2011.",{"doi":2648},"10.1659\u002FMRD-JOURNAL-D-10-00085.1",{"id":24,"text":2650,"url":24,"identifiers":2651},"Pand, S.: Joshimath Children worst affected in Uttarakhand, available at: http:\u002F\u002Fwww.actionaidusa.org\u002Findia\u002F2013\u002F09\u002Fjoshimath-children-worst-affected-uttarakhand (last access: 10 September 2014), 2013.",{},{"id":24,"text":2653,"url":24,"identifiers":2654},"Poumadère, M., Mays, C., Le Mer, S., and Blong, R.: The 2003 Heat wave in France: Dangerous Climate Change Here and Now, Risk Anal., 25, 1483–1494, 2005.",{"doi":2655},"10.1111\u002Fj.1539-6924.2005.00694.x",{"id":24,"text":2657,"url":24,"identifiers":2658},"Rasul, G.: Food, water, and energy security in South Asia: A nexus perspective from the Hindu Kush Himalayan region, Environ. Sci. Policy, 39, 35–48, 2014.",{"doi":2659},"10.1016\u002Fj.envsci.2014.01.010",{"id":24,"text":2661,"url":24,"identifiers":2662},"Rocheleau, D., Thomas-Slayter, B., and Wangari, E. (Eds.): Feminist political ecology: Global issues and local experience, Routledge, New York, 1996.",{},{"id":24,"text":2664,"url":24,"identifiers":2665},"Scheyvens, R.: Ecotourism and the empowerment of local communities, Tourism Manage., 20, 245–249, 1999",{"doi":2666},"10.1016\u002FS0261-5177(98)00069-7",{"id":24,"text":2668,"url":24,"identifiers":2669},"Scoones, I.: Sustainable Livelihoods: A Framework For Analysis, IDS Working Paper 72, available at: http:\u002F\u002Fopendocs.ids.ac.uk\u002Fopendocs\u002Fbitstream\u002Fhandle\u002F123456789\u002F3390\u002FWp72.pdf?sequence=1 (last access: 10 September 2014), 1998.",{},{"id":24,"text":2671,"url":24,"identifiers":2672},"Seager, J.: Death by degrees: Taking a feminist hard look at the 2° climate policy. Kvinder, Køn & Forskning, Women, Gender Res., 34, 11–21, 2009a.",{"doi":2673},"10.7146\u002Fkkf.v0i3-4.27968",{"id":24,"text":2675,"url":24,"identifiers":2676},"Seager, J.: Atlas of Women in the World, 4th Edn., Penguin, New York, 2009b.",{},{"id":24,"text":2678,"url":24,"identifiers":2679},"Seager, J.: Noticing Gender (or Not) in Disasters, in: The Women of Katrina: How Gender, Race, and Class Matter in an American Disaster, edited by: Enarson, E. and David, E., Vanderbilt University Press, Nashville, Tennessee, 2012.",{},{"id":24,"text":2681,"url":24,"identifiers":2682},"Sultana, F.: Gendering Climate Change: Geographical Insights, Prof. Geogr., 6, 372–381, 2014.",{"doi":2683},"10.1080\u002F00330124.2013.821730",{"id":24,"text":2685,"url":24,"identifiers":2686},"Sweetman, C.: Climate changes and climate justice, Gender Dev., 17, 1–3, 2009.",{},{"id":24,"text":2688,"url":24,"identifiers":2689},"Terry, G.: No climate without gender justice: an overview of the issues, Gender Dev., 17, 5–18, 2009.",{"doi":2690},"10.1080\u002F13552070802696839",{"id":24,"text":2692,"url":24,"identifiers":2693},"United Nations (UN): UNFCCC: Copenhagen Accord, available at: https:\u002F\u002Funfccc.int\u002Fmeetings\u002Fcopenhagen_dec_2009\u002Fitems\u002F5262.php (last access: 10 September 2014), 2009.",{},{"id":24,"text":2695,"url":24,"identifiers":2696},"United Nations (UN): UNFCCC Gender and Climate Change, available at: http:\u002F\u002Funfccc.int\u002Fgender_and_climate_change\u002Fitems\u002F7516.php (last access: 10 September 2014), 2014a.",{},{"id":24,"text":2698,"url":24,"identifiers":2699},"United Nations (UN): UNFCCC: Gender and Climate Change: Connecting Climate and Gender, available at: http:\u002F\u002Funfccc.int\u002Fgender_and_climate_change\u002Fitems\u002F7537.php#connection (last access: 10 September 2014), 2014b.",{},{"id":24,"text":2701,"url":24,"identifiers":2702},"United Nations Development Programme (UNDP): Gender and Climate Change, available at: http:\u002F\u002Fwww.undp.org\u002Fcontent\u002Fundp\u002Fen\u002Fhome\u002Fourwork\u002Fenvironmentandenergy\u002Fstrategic_themes\u002Fclimate_change\u002Ffocus_areas\u002Fgender_and_climatechange\u002F, 2014.",{},{"id":24,"text":2704,"url":24,"identifiers":2705},"Von Hedemann, N.: An Assessment of Ecotourism and Local Economics in Nanda Devi Biosphere Reserve, India, Conference presentation at the Pathways to Success: Integrating Human Dimensions into Fish and Wildlife Management, Estes Park, Colorado, 27 September–1 October 2010.",{},{"id":24,"text":2707,"url":24,"identifiers":2708},"Wisner, B., Blaikie, P. M., Cannon, T. and Davis, I.: At Risk: Natural Hazards, People's Vulnerability and Disasters, 2nd Edn., New York, Routledge, 2004.",{"doi":2709},"10.4324\u002F9780203974575",{"id":24,"text":2711,"url":24,"identifiers":2712},"World Bank: World Development Report 2012: Gender Equality and Development, last access: 10 September 2014, available at: http:\u002F\u002Fgo.worldbank.org\u002FCQCTMSFI40, 2012.",{},{"id":24,"text":2714,"url":24,"identifiers":2715},"World Health Organization (WHO), Gender, Climate Change, and Health, last access: 10 March 2015, available at: http:\u002F\u002Fapps.who.int\u002Firis\u002Fhandle\u002F10665\u002F144781, 2014.",{},{"id":2717,"createTime":2718,"updateTime":2718,"relativeEntities":2719,"slug":2720,"properties":2721,"entityType":108,"verifyStatus":109,"verifyTime":2733,"verifyNote":111,"syncStatus":23,"languages":2734,"translateLanguages":24,"viewCount":25,"primaryUrl":2735,"fullTextUrl":24,"authors":2736,"publicationType":185,"publisherRelationship":2830,"citationCount":2861,"citationInfo":2862,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":2868,"isForceReanalyzing":421},"cbe168f6-3412-4da7-84ee-c3502ae24603","2024-10-02T06:10:41.911+00:00",[],"Farmers-perceptions-of-and-adaptation-strategies-to-climate-change-and-their-determinants-the-case-of-Punjab-province-Pakistan",{"mag":2722,"keywords":2724,"openalex":2725,"abstract":2727,"title":2729,"doi":2731},{"VOID":2723},"2060226489",{},{"VOID":2726},"W2060226489",{"EN":2728},"\u003Cjats:p>Abstract. Climate change is a global environmental threat to all economic sectors, particularly the agricultural sector. Pakistan is one of the countries negatively affected by climate change due to its high exposure to extreme events and low adaptive capacity. In Pakistan, farmers are the primary stakeholders in agriculture and are more at risk due to climate vulnerability. Based on farm household data from 450 households collected from three districts in three agroecological zones in the Punjab province of Pakistan, this study examines how farmers perceive climate change and how they adapt their farming in response to perceived changes in climate. The results demonstrate that awareness of climate change is widespread throughout the area, and farm households make adjustments to adapt their agriculture in response to climatic change. Overall 58% of the farm households adapted their farming to climate change. Changing crop varieties, changing planting dates, planting of shade trees and changing fertilizers were the main adaptation methods implemented by farm households in the study area. The results from the binary logistic model reveal that education, farm experience, household size, land area, tenancy status, ownership of a tube well, access to market information, information on weather forecasting and agricultural extension services all influence farmers' choices of adaptation measures. The results also indicate that adaptation to climate change is constrained by several factors such as lack of information, lack of money, resource constraints and shortage of irrigation water in the study area. Findings of the study suggest the need for greater investment in farmer education and improved institutional setup for climate change adaptation to improve farmers' wellbeing.\n                    \u003C\u002Fjats:p>",{"EN":2730},"Farmers' perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan",{"VOID":2732},"10.5194\u002Fesd-6-225-2015","2024-10-02T06:10:41.910+00:00",[113],"https:\u002F\u002Fesd.copernicus.org\u002Farticles\u002F6\u002F225\u002F2015\u002F",[2737,2758,2780,2813],{"id":2738,"sortIndex":169,"researcher":24,"roles":2739,"affiliations":2740,"properties":2751},"d4694823-8e7f-4f64-a176-1a0216649c89",[],[2741],{"id":2742,"sortIndex":25,"affiliation":2743,"properties":24},"5fc05dcc-56d7-4587-a496-d3fb2d28f587",{"id":2744,"createTime":2745,"updateTime":2745,"relativeEntities":2746,"slug":2747,"properties":2748,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"f6766236-03e5-45ec-82c8-61c6d490186f","2024-10-02T06:10:41.954+00:00",[],"Research-Unit-Sustainability-and-Global-Change-University-of-Hamburg-Grindelberg-5-20144-Hamburg-Germany",{"title":2749},{"EN":2750},"Research Unit Sustainability and Global Change, University of Hamburg, Grindelberg 5,  20144 Hamburg, Germany",{"openalex":2752,"orcid":2754,"title":2756},{"VOID":2753},"A5033647228",{"VOID":2755},"https:\u002F\u002Forcid.org\u002F0000-0002-6833-9292",{"EN":2757},"Uwe A. Schneider",{"id":2759,"sortIndex":725,"researcher":24,"roles":2760,"affiliations":2761,"properties":2773},"f97a3b85-bc4a-46bf-9965-a92d7372cb97",[],[2762],{"id":2763,"sortIndex":25,"affiliation":2764,"properties":24},"944d8fa6-b8d2-441e-a929-018cb9dc0987",{"id":2765,"createTime":2766,"updateTime":2767,"relativeEntities":2768,"slug":2769,"properties":2770,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"22c2ffdd-252e-449e-83a3-7347fcbf4d7f","2023-12-23T07:47:24.017+00:00","2024-12-23T05:51:58.299+00:00",[],"Institute-of-Agricultural-and-Resource-Economics-University-of-Agriculture-Faisalabad-Pakistan",{"title":2771},{"VI":2772},"Institute of Agricultural and Resource Economics, University of Agriculture, Faisalabad, Pakistan",{"openalex":2774,"orcid":2776,"title":2778},{"VOID":2775},"A5037314305",{"VOID":2777},"https:\u002F\u002Forcid.org\u002F0000-0003-3140-0341",{"EN":2779},"Muhammad Ashfaq",{"id":2781,"sortIndex":25,"researcher":24,"roles":2782,"affiliations":2783,"properties":2806},"937642fe-8315-47dc-88f3-095aa93a5b9f",[],[2784,2795],{"id":2785,"sortIndex":25,"affiliation":2786,"properties":24},"921a8962-973d-40b0-9868-1bb9469f9ebb",{"id":2787,"createTime":2788,"updateTime":2789,"relativeEntities":2790,"slug":2791,"properties":2792,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"95e5ce60-05c4-4471-a189-e9e7a3f8ada2","2024-02-23T03:43:58.724+00:00","2024-10-02T06:10:41.929+00:00",[],"Research-Group-Climate-Change-and-Security-Institute-of-Geography-University-of-Hamburg-Grindelberg-7-20144-Hamburg-Germany",{"title":2793},{"VI":2794},"Research Group Climate Change and Security, Institute of Geography, University of Hamburg, Grindelberg 7, 20144 Hamburg, Germany",{"id":2796,"sortIndex":140,"affiliation":2797,"properties":24},"b5d82fa2-bea2-4c54-a15f-bb0bc5db59b5",{"id":2798,"createTime":2799,"updateTime":2800,"relativeEntities":2801,"slug":2802,"properties":2803,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},"eb3f8b54-62e4-4213-9ff1-cd1c59558593","2024-02-08T08:07:43.053+00:00","2024-10-02T06:10:41.932+00:00",[],"School-of-Integrated-Climate-System-Sciences-Grindelberg-5-20144-Hamburg-Germany",{"title":2804},{"VI":2805},"School of Integrated Climate System Sciences, Grindelberg 5, 20144 Hamburg, Germany",{"openalex":2807,"orcid":2809,"title":2811},{"VOID":2808},"A5101426112",{"VOID":2810},"https:\u002F\u002Forcid.org\u002F0000-0002-7691-4066",{"EN":2812},"Muhammad Abid",{"id":2814,"sortIndex":140,"researcher":24,"roles":2815,"affiliations":2816,"properties":2823},"30e164ae-38ed-4991-8689-eaa3db6899b3",[],[2817],{"id":2818,"sortIndex":25,"affiliation":2819,"properties":24},"4b96f5d0-70ac-4607-a70b-1657efa59f9b",{"id":2787,"createTime":2788,"updateTime":2789,"relativeEntities":2820,"slug":2791,"properties":2821,"entityType":45,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"syncStatus":23,"languages":24,"translateLanguages":24,"viewCount":25},[],{"title":2822},{"VI":2794},{"openalex":2824,"orcid":2826,"title":2828},{"VOID":2825},"A5051704952",{"VOID":2827},"https:\u002F\u002Forcid.org\u002F0000-0002-7171-3062",{"EN":2829},"Jürgen 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M., Ashfaq, M., Khalid, I., and Ishaq, U.: An economic evaluation of impact of soil quality on Bt (Bacillus thuringiensis) cotton productivity, Soil Environ., 30, 78–81, 2011a.",{},{"id":24,"text":2873,"url":24,"identifiers":2874},"Abid, M., Ashfaq, M., Hassan, S., and Fatima, N.: A resource use efficiency analysis of small Bt cotton farmers in Punjab, Pakistan, Pak. J. Agric. Sci., 48, 65–71, 2011b.",{},{"id":24,"text":2876,"url":24,"identifiers":2877},"Adger, W. N., Dessai, S., Goulden, M., Hulme, M., Lorenzoni, I., Nelson, D. R., Naess, L. O., Wolf, J., and Wreford, A.: Are there social limits to adaptation to climate change?, Climatic Change, 93, 335–354, 2009.",{"doi":2878},"10.1007\u002Fs10584-008-9520-z",{"id":24,"text":2880,"url":24,"identifiers":2881},"Ahmed, H., Khan, M. R., Panadero-Fontan, R., Lopez-Sández, C., Iqbal, M. F., Naqvi, S. M. S., and Qayyum, M.: Geographical distribution of hypodermosis (Hypoderma sp.) in northern Punjab, Pakistan, Kafkas Univ Vet Fak Derg, 18, A215–A219, 2012.",{},{"id":24,"text":2883,"url":24,"identifiers":2884},"Ashfaq, M., Zulfiqar, F., Sarwar, I., Quddus, M. A., and Baig, I. A.: Impact of climate change on wheat productivity in mixed cropping system of Punjab, Soil Environ., 30, 110–114, 2011.",{},{"id":24,"text":2886,"url":24,"identifiers":2887},"Asif, M.: Climatic Change, Irrigation Water Crisis and Food Security in Pakistan, No. 170, Master thesis in sustainable development at Uppsala University, Uppsala, 39 pp., 2013.",{},{"id":24,"text":2889,"url":24,"identifiers":2890},"Badar, H., Ghafoor, A., and Adil, S. A.: Factors affecting agricultural production of Punjab (Pakistan), Pak. J. Agri. Sci, 44, 3, 2007.",{},{"id":24,"text":2892,"url":24,"identifiers":2893},"Bryan, E., Ringler, C., Okoba, B., Roncoli, C., Silvestri, S., and Herrero, M.: Adapting agriculture to climate change in Kenya: Household strategies and determinants, J. Environ. Manage., 114, 26–35, 2013.",{"doi":2894},"10.1016\u002Fj.jenvman.2012.10.036",{"id":24,"text":2896,"url":24,"identifiers":2897},"Croppenstedt, A., Demeke, M., and Meschi, M. M.: Technology adoption in the presence of constraints: the case of fertilizer demand in Ethiopia, Rev. Develop. Econ., 7, 58–70, 2003.",{"doi":2898},"10.1111\u002F1467-9361.00175",{"id":24,"text":2900,"url":24,"identifiers":2901},"Curran, C.: Logit and Probit Regressions, available online at: http:\u002F\u002Fcnx.org\u002Fcontents\u002F7cafdabf-7ed1-4a02-b40a-e4c9598f9709@3 (last acces: 22 July 2014), 2010.",{},{"id":24,"text":2903,"url":24,"identifiers":2904},"Dawkins, P.: Derivatives definitions and notation, available at: http:\u002F\u002Ftutorial.math.lamar.edu\u002Fpdf\u002FCalculus_Cheat Sheet Derivatives_Reduced.pdf (last acces: 29 August 2014), 2005.",{},{"id":24,"text":2906,"url":24,"identifiers":2907},"Deressa, T. T.: Measuring the economic impact of climate change on Ethiopian agriculture: Ricardian approach, World Bank Policy Research Paper No. 4342, World Bank, Washington, D.C., 2007.",{},{"id":24,"text":2909,"url":24,"identifiers":2910},"Deressa, T. T., Hassan, R. M., Ringler, C., Alemu, T., and Yesuf, M.: Determinants of farmers' choice of adaptation methods to climate change in the Nile Basin of Ethiopia, Global Environ. Change, 19, 248–255, 2009.",{"doi":2911},"10.1016\u002Fj.gloenvcha.2009.01.002",{"id":24,"text":2913,"url":24,"identifiers":2914},"Deressa, T. T., Hassan, R. M., and Ringler, C.: Perception of and adaptation to climate change by farmers in the Nile basin of Ethiopia, J. Agric. Sci., 149, 23–31, 2011.",{"doi":2915},"10.1017\u002FS0021859610000687",{"id":24,"text":2917,"url":24,"identifiers":2918},"Elahi, E., Zhang, L., Abid, M., Altangerel, O., Bakhsh, K., Uyanga, B., Ahmed, U. I., and Xinru, H.: Impact of Balance Use of Fertilizers on Wheat Efficiency in Cotton Wheat Cropping System of Pakistan, Int. J. Agric. Innov. Res. 3, 1470–1474, 2015.",{},{"id":24,"text":2920,"url":24,"identifiers":2921},"Farooq, O.: Chapter Agriculture, in Pakistan Economic survey 2012–13, Ministry of Finance, Government of Pakistan, Islamabad, 2013.",{},{"id":24,"text":2923,"url":24,"identifiers":2924},"Farooqi, A. B., Khan, A. H., and Mir, H.: Climate change perspective in Pakistan, Pakistan J. Meteorol., 2, 11–21, 2005.",{},{"id":24,"text":2926,"url":24,"identifiers":2927},"Fernihough, A.: Simple logit and probit marginal effects in R, Working paper series, UCD Center for economic research, University of Dublin, Ireland, 2011.",{},{"id":24,"text":2929,"url":24,"identifiers":2930},"Government of Pakistan: Pakistan Mouza statistics, Statistics Division, Agricultural Census Organization, Islamabad, Pakistan, 1998.",{},{"id":24,"text":2932,"url":24,"identifiers":2933},"Hanif, U., Syed, S. H., Ahmad, R., Malik, K. A., and Nasir, M.: Economic Impact of Climate Change on the Agricultural Sector of Punjab, Pakistan Develop. Rev., 49, 771–798, 2010.",{"doi":2934},"10.30541\u002Fv49i4IIpp.771-798",{"id":24,"text":2936,"url":24,"identifiers":2937},"Hassan, R. and Nhemachena, C.: Determinants of African farmers' strategies for adapting to climate change: Multinomial choice analysis, Afr. J. Agric. Resour. Econ., 2, 83-104, 2008.",{},{"id":24,"text":2939,"url":24,"identifiers":2940},"Hijioka, Y., Lin, E., Pereira, J. J., Corlett, R. T., Cui, X., Insarov, G. E., Lasco, R. D., Lindgren, E., and Surjan, A.: Asia, in: Climate Change 2014: Impacts, Adaptation, and Vulnerability, Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Barros, V. R., Field, C. B., Dokken, D. J., Mastrandrea, M. D., Mach, K. J., Bilir, T. E., Chatterjee, M., Ebi, K. L., Estrada, Y. O., Genova, R. C., Girma, B., Kissel, E. S., Levy, A. N., MacCracken, S., Mastrandrea, P. R., and White, L. L., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2014.",{},{"id":24,"text":2942,"url":24,"identifiers":2943},"Hisali, E., Birungi, P., and Buyinza, F.: Adaptation to climate change in Uganda: evidence from micro level data, Global Environ. Change, 21, 1245–1261, 2011.",{"doi":2944},"10.1016\u002Fj.gloenvcha.2011.07.005",{"id":24,"text":2946,"url":24,"identifiers":2947},"Hosmer Jr., D. W. and Lemeshow, S.: Applied logistic regression, John Wiley & Sons, New York, 2004.",{"doi":2948},"10.1002\u002F0470011815.b2a10030",{"id":24,"text":2950,"url":24,"identifiers":2951},"Hussain, S. S. and Mudasser, M.: Prospects for wheat production under changing climate in mountain areas of Pakistan. An econometric analysis, Agricult. Syst., 94, 494–501, 2007.",{"doi":2952},"10.1016\u002Fj.agsy.2006.12.001",{"id":24,"text":2954,"url":24,"identifiers":2955},"IFAD.: Climate change impacts, South Asia, httP:\u002F\u002Fwww.ifad.org\u002Fevents\u002Fapr09\u002Fimpact\u002Fse asia.pdf (last acces: 12 July 2014), 2010.",{},{"id":24,"text":2957,"url":24,"identifiers":2958},"IPCC – Intergovernmental Panel on Climate Change: Climate Change 2001: Impacts, Adaptation and Vulnerability, contribution of working group II to the Third Assessment Report of the IPCC, Cambridge University Press, Cambridge, 2001.",{},{"id":24,"text":2960,"url":24,"identifiers":2961},"IUCN.: Climate change; vulnerabilities in agriculture in Pakistan, http:\u002F\u002Fcmsdata.iucn.org\u002Fdownloads\u002Fpk cc_agr vul.pdf (last acces: 18 August 2014), 2009.",{},{"id":24,"text":2963,"url":24,"identifiers":2964},"Kato, E., Ringler, C., Yesuf, M., and Bryan, E.: Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia, Agric. Econ., 42, 593–604, 2011.",{"doi":2965},"10.1111\u002Fj.1574-0862.2011.00539.x",{"id":24,"text":2967,"url":24,"identifiers":2968},"Kreft, S. and Eckstein, D.: Global Climate Risk Index 2014: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2012 and 1993 to 2012, Germanwatch eV, Bonn, Germany, 2013.",{},{"id":24,"text":2970,"url":24,"identifiers":2971},"LP – Leads Pakistan: LEAD climate change action program, Internal Document, LEAD Pakistan, Islamabad, 2010.",{},{"id":24,"text":2973,"url":24,"identifiers":2974},"Maddison, D.: The perception of and adaptation to climate change in Africa, World Bank Policy Research Working Paper, Wold Bank, Washington DC, 2007.",{"doi":2975},"10.1596\u002F1813-9450-4308",{"id":24,"text":2977,"url":24,"identifiers":2978},"Mertz, O., Mbow, C., Reenberg, A., and Diouf, A.: Farmers' perceptions of climate change and agricultural adaptation strategies in rural Sahel, Environ. Manage. 43, 804–816, 2009.",{"doi":2979},"10.1007\u002Fs00267-008-9197-0",{"id":24,"text":2981,"url":24,"identifiers":2982},"Mohammad, S.: Supply Response of Major Crops in Different Agro-Ecologic Zones in Punjab, Ph.D., University of Agriculture, Faisalabad, unpublished thesis, 2005.",{},{"id":24,"text":2984,"url":24,"identifiers":2985},"Nhemachena, C. and Hassan, R.: Micro-level analysis of farmers' adaption to climate change in Southern Africa, Intl. Food Policy Res. Inst., Washington, DC, 2007.",{},{"id":24,"text":2987,"url":24,"identifiers":2988},"Nomman, M. A. and Schmitz, M.: Economic assessment of the impact of climate change on the agriculture of Pakistan, Business Econ. Horiz., 4, 1–12, 2011.",{"doi":2989},"10.15208\u002Fbeh.2011.1",{"id":24,"text":2991,"url":24,"identifiers":2992},"Norris, P. E. and Batie, S. S.: Virginia farmers, soil conservation decisions: an application of Tobit analysis, S. J. Agric. Econ., 19, 79–90, 1987.",{"doi":2993},"10.1017\u002FS0081305200017404",{"id":24,"text":2995,"url":24,"identifiers":2996},"Organisation for Economic Co-operation and Development – OECD.: The Economics of Adapting Fisheries to Climate Change, OECD Publishing, Chateau de la Muette, Paris, France, https:\u002F\u002Fdoi.org\u002F10.1787\u002F9789264090415-en, 2011.",{"doi":2997},"10.1787\u002F9789264090415-en",{"id":24,"text":2999,"url":24,"identifiers":3000},"PARC – Pakistan Agricultural Research Council: National Master Agricultural Research Plan, PARC, available at: http:\u002F\u002Fold.parc.gov.pk\u002FMaps\u002FAgroEcoPunjab.html (last access: 21 August 2014), 2014.",{},{"id":24,"text":3002,"url":24,"identifiers":3003},"Parry, M. L.: Climate Change 2007: impacts, adaptation and vulnerability: contribution of Working Group II to the fourth assessment report of the Intergovernmental Panel on Climate Change, Cambridge University Press, 2007.",{},{"id":24,"text":3005,"url":24,"identifiers":3006},"PBS – Pakistan Bureau of Statistics: Agricultural statistics of Pakistan. Government of Pakistan, statistics division, Pakistan bureau of statistics, available at: http:\u002F\u002Fwww.pbs.gov.pk\u002Fcontent\u002Fagricultural-statistics-pakistan-2010-11 (last access: 1 August 2014), 2011.",{},{"id":24,"text":3008,"url":24,"identifiers":3009},"Peng, C. Y. J., Lee, K. L., and Ingersoll, G. M.: An introduction to logistic regression analysis and reporting, J. Educat. Res., 96, 3–14, 2002.",{"doi":3010},"10.1080\u002F00220670209598786",{"id":24,"text":3012,"url":24,"identifiers":3013},"Rahji, M. and Fakayode, S.: A multinomial logit analysis of agricultural credit rationing by commercial banks in Nigeria, Int. Res. J. Finance Econ., 24, 97–103, 2009.",{},{"id":24,"text":3015,"url":24,"identifiers":3016},"Schlenker, W. and Lobell, D. B.: Robust negative impacts of climate change on African agriculture, Environm. Res. Lett., 5, 014010, https:\u002F\u002Fdoi.org\u002F10.1088\u002F1748-9326\u002F5\u002F1\u002F014010, 2010.",{"doi":3017},"10.1088\u002F1748-9326\u002F5\u002F1\u002F014010",{"id":24,"text":3019,"url":24,"identifiers":3020},"Schmidheiny, K.: Binary Response Models, Short guides to Microeconometrics, Unversität Basel, Basel, 2013.",{},{"id":24,"text":3022,"url":24,"identifiers":3023},"Stephenson, B., Cook, D., Dixon, P., Duckworth, W., Kaiser, M., Koehler, K., and Meeker, W.: Binary response and logistic regression analysis, available at: http:\u002F\u002Fwww.stat.wisc.edu\u002F mchung\u002Fteaching\u002FMIA\u002Freading\u002FGLM.logistic.Rpackage.pdf (last access: 30 August 2014), 2008.",{},{"id":24,"text":3025,"url":24,"identifiers":3026},"Swanson, B. and Claar, J.: The history and development of agricultural extension, in: Agricultural Extension: A Reference Manual, edited by: Swanson, B. E., Food and Agricultural Organization of the United Nations, Rome, 1984.",{},{"id":24,"text":3028,"url":24,"identifiers":3029},"Syngenta: Agricultural Extension, Improving the livelihood of smallholder farmers, available at: http:\u002F\u002Fwww.syngentafoundation.org\u002Findex.cfm?pageID=594 (last access: 5 September 2014), 2014.",{},{"id":24,"text":3031,"url":24,"identifiers":3032},"Thomas, D. S., Twyman, C., Osbahr, H., and Hewitson, B.: Adaptation to climate change and variability: farmer responses to intra-seasonal precipitation trends in South Africa, Climatic change, 83, 301–322, 2007.",{"doi":3033},"10.1007\u002Fs10584-006-9205-4",{"id":24,"text":3035,"url":24,"identifiers":3036},"TFCC – Task Force on Climate Change: Planning Commission, Government of Pakistan, http:\u002F\u002Fpc.gov.pk\u002Fusefull_links\u002FTaskforces\u002FTFCC_Final_Report.pdf (last access: 10 August 2014), 2010.",{},{"id":24,"text":3038,"url":24,"identifiers":3039},"Weber, E. U.: What shapes perceptions of climate change?, Wiley Interdisciplinary Reviews: Climate Change, 1, 332–342, 2010.",{"doi":3040},"10.1002\u002Fwcc.41",{"id":3042,"createTime":3043,"updateTime":3043,"relativeEntities":3044,"slug":3045,"properties":3046,"entityType":108,"verifyStatus":109,"verifyTime":3043,"verifyNote":111,"syncStatus":23,"languages":3057,"translateLanguages":24,"viewCount":25,"primaryUrl":3058,"fullTextUrl":24,"authors":3059,"publicationType":185,"publisherRelationship":3139,"citationCount":3170,"citationInfo":3171,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":24,"openAccess":24,"references":3182,"isForceReanalyzing":421},"69392a11-2851-467f-9774-4a96275d11b0","2024-08-30T05:38:17.592+00:00",[],"A-trend-preserving-bias-correction-the-ISI-MIP-approach",{"mag":3047,"keywords":3049,"openalex":3050,"abstract":3052,"title":3054,"doi":3056},{"VOID":3048},"2027219405",{},{"VOID":3051},"W2027219405",{"EN":3053},"\u003Cjats:p>Abstract. Statistical bias correction is commonly applied within climate impact modelling to correct climate model data for systematic deviations of the simulated historical data from observations. Methods are based on transfer functions generated to map the distribution of the simulated historical data to that of the observations. Those are subsequently applied to correct the future projections. Here, we present the bias correction method that was developed within ISI-MIP, the first Inter-Sectoral Impact Model Intercomparison Project. ISI-MIP is designed to synthesise impact projections in the agriculture, water, biome, health, and infrastructure sectors at different levels of global warming.  Bias-corrected climate data that are used as input for the impact simulations could be only provided over land areas. To ensure consistency with the global (land + ocean) temperature information the bias correction method has to preserve the warming signal. Here we present the applied method that preserves the absolute changes in monthly temperature, and relative changes in monthly values of precipitation and the other variables needed for ISI-MIP. The proposed methodology represents a modification of the transfer function approach applied in the Water Model Intercomparison Project (Water-MIP). Correction of the monthly mean is followed by correction of the daily variability about the monthly mean.  Besides the general idea and technical details of the ISI-MIP method, we show and discuss the potential and limitations of the applied bias correction. In particular, while the trend and the long-term mean are well represented, limitations with regards to the adjustment of the variability persist which may affect, e.g. small scale features or extremes.\n                    \u003C\u002Fjats:p>",{"EN":3055},"A trend-preserving bias correction – the ISI-MIP 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