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Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.","PUBLISHER","PENDING",null,0,[27],{"id":28,"createTime":24,"updateTime":24,"relativeEntities":29,"label":30,"description":32,"parentId":24,"standard":24,"scholarHubFieldId":24},"cd0e9c62-9445-4f11-88d8-ffaaa645b234",[],{"EN":31},"Earth and Planetary Sciences (miscellaneous)",{},[34,41],{"id":35,"createTime":24,"updateTime":24,"relativeEntities":36,"slug":24,"properties":37,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":40,"statistic":24},"d8102586-bb62-419f-b836-46598060cf6a",[],{"title":38},{"EN":39},"Copernicus Gesellschaft mbH",[],{"id":42,"createTime":24,"updateTime":24,"relativeEntities":43,"slug":24,"properties":44,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":47,"statistic":24},"e92ab8fa-f2a9-486e-a153-34ca4fcc3e89",[],{"title":45},{"EN":46},"European Geosciences Union",[],[49,68],{"id":50,"indexDatabase":51,"url":63,"indexYears":24,"academicFieldIds":64,"indexDatabaseRanking":24},"e2ee7f8c-2ea0-4a37-bea8-ee7da8d3916e",{"id":52,"createTime":24,"updateTime":24,"relativeEntities":53,"label":54,"description":56,"key":59,"publicationTags":60,"standard":24},"a4921856-b128-4d9f-8f1f-e80813d3bbd4",[],{"EN":55,"VI":55},"ISI\u002FSCIE - Science Citation Index Expanded",{"EN":57,"VI":58},"SCIE database","Cơ sở dữ liệu SCIE","scie",[61,62],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=1561-8633",[65,66,67],"0db73426-2364-455f-81a4-efe0f91d712e","743809e9-ecc4-4c97-9a58-e2cbbb0d0ce9","63f41ff6-1733-43a8-a5cf-ccc2e17b2d31",{"id":69,"indexDatabase":70,"url":80,"indexYears":81,"academicFieldIds":82,"indexDatabaseRanking":84},"a0ed633f-c78c-406f-8467-e5d025e40d2f",{"id":71,"createTime":24,"updateTime":24,"relativeEntities":72,"label":73,"description":75,"key":77,"publicationTags":78,"standard":24},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9",[],{"EN":74,"VI":74},"Scopus - Elsevier",{"EN":74,"VI":76},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[79],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F51166","2001-2025",[83],"1689391c-5702-4349-aaa7-d720ee4321fc","SCOPUS__Q1","https:\u002F\u002Fwww.natural-hazards-and-earth-system-sciences.net\u002F",{"meta":87,"data":89},{"total":88},"62",[90,431,968,1149,1447,1602,1893,2478,2799,2948],{"id":91,"createTime":92,"updateTime":93,"relativeEntities":94,"slug":95,"properties":96,"entityType":109,"verifyStatus":110,"verifyTime":92,"verifyNote":111,"languages":112,"translateLanguages":24,"viewCount":25,"primaryUrl":114,"fullTextUrl":24,"authors":115,"publicationType":179,"publisherRelationship":180,"citationCount":25,"citationInfo":226,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":228,"lastCitationAnalyze":93,"indexDatabases":229,"openAccess":24,"references":230,"isForceReanalyzing":430},"6f394582-915d-4273-8117-c1fd5f00583e","2024-10-10T09:14:41.873+00:00","2026-07-19T11:23:28.904+00:00",[],"Assessing-the-predictability-of-fire-occurrence-and-area-burned-across-phytoclimatic-regions-in-Spain",{"openalex":97,"mag":99,"abstract":101,"title":103,"gsPaper":105,"doi":107},{"VOID":98},"W2152482576",{"VOID":100},"2152482576",{"EN":102},"\u003Cjats:p>Abstract. Most fire protection agencies throughout the world have developed forest fire risk forecast systems, usually building upon existing fire danger indices and meteorological forecast data. In this context, the daily predictability of wildfires is of utmost importance in order to allow the fire protection agencies to issue timely fire hazard alerts. In this study, we address the predictability of daily fire occurrence using the components of the Canadian Fire Weather Index (FWI) System and related variables calculated from the latest ECMWF (European Centre for Medium Range Weather Forecasts) reanalysis, ERA-Interim. We develop daily fire occurrence models in peninsular Spain for the period 1990–2008 and, considering different minimum burned area thresholds for fire definition, assess their ability to reproduce the inter-annual fire frequency variability. We based the analysis on a phytoclimatic classification aiming the stratification of the territory into homogeneous units in terms of climatic and fuel type characteristics, allowing to test model performance under different climate\u002Ffuel conditions. We then extend the analysis in order to assess the predictability of monthly burned areas. The sensitivity of the models to the level of spatial aggregation of the data is also evaluated. Additionally, we investigate the gain in model performance with the inclusion of socioeconomic and land use\u002Fland cover (LULC) covariates in model formulation.  Fire occurrence models have attained good performance in most of the phytoclimatic zones considered, being able to faithfully reproduce the inter-annual variability of fire frequency. Total area burned has exhibited some dependence on the meteorological drivers, although model performance was poor in most cases. We identified temperature and some FWI system components as the most important explanatory variables, highlighting the adequacy of the FWI system for fire occurrence prediction in the study area. The results were improved when using aggregated data across regions compared to when data were sampled at the grid-box level. The inclusion of socioeconomic and LULC covariates contributed marginally to the improvement of the models, and in most cases attained no relevant contribution to total explained variance – excepting northern Spain, where anthropogenic factors are known to be the major driver of fires. Models of monthly fire counts performed better in the case of fires larger than 0.1 ha, and for the rest of the thresholds (1, 10 and 100 ha) the daily occurrence models improved the predicted inter-annual variability, indicating the added value of daily models.  Fire frequency predictions may provide a preferable basis for past fire history reconstruction, long-term monitoring and the assessment of future climate impacts on fire regimes across regions, posing several advantages over burned area as a response variable. Our results leave the door open to the development a more complex modelling framework based on daily data from numerical climate model outputs based on the FWI system.\n                    \u003C\u002Fjats:p>",{"EN":104},"Assessing the predictability of fire occurrence and area burned across phytoclimatic regions in Spain",{"VOID":106},"[\"13784376554285055259\"]",{"VOID":108},"10.5194\u002Fnhess-14-53-2014","PUBLICATION","VERIFIED","Auto Verify",[113],"EN","https:\u002F\u002Fnhess.copernicus.org\u002Farticles\u002F14\u002F53\u002F2014\u002F",[116,137,157],{"id":117,"sortIndex":25,"researcher":24,"roles":118,"affiliations":119,"properties":128,"displayName":132,"givenName":24,"familyName":24},"b9965857-01a4-4b15-a6f7-af97ec7166ec",[],[120],{"id":121,"sortIndex":25,"affiliation":122,"properties":24},"e1e7ffe2-d0ac-4f3c-95cf-78d790a2d416",{"id":121,"createTime":24,"updateTime":24,"relativeEntities":123,"slug":24,"properties":124,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":127,"statistic":24},[],{"title":125},{"EN":126},"Grupo de Meteorología, Dpto. Matemática Aplicada y Ciencias de la Computación, Universidad de Cantabria, Avda. Los Castros s\u002Fn, 39005 Santander, Spain",[],{"orcid":129,"title":131,"gsAuthor":133,"openalex":135},{"VOID":130},"https:\u002F\u002Forcid.org\u002F0000-0001-6219-4312",{"EN":132},"Joaquín Bedia",{"VOID":134},"[\"DfMiKRcAAAAJ\"]",{"VOID":136},"A5010218516",{"id":138,"sortIndex":139,"researcher":24,"roles":140,"affiliations":141,"properties":148,"displayName":152,"givenName":24,"familyName":24},"fde3e145-ef4d-46f4-949b-fb2ef6a89d34",1,[],[142],{"id":121,"sortIndex":25,"affiliation":143,"properties":24},{"id":121,"createTime":24,"updateTime":24,"relativeEntities":144,"slug":24,"properties":145,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":147,"statistic":24},[],{"title":146},{"EN":126},[],{"orcid":149,"title":151,"gsAuthor":153,"openalex":155},{"VOID":150},"https:\u002F\u002Forcid.org\u002F0000-0002-5384-179X",{"EN":152},"Sixto Herrera",{"VOID":154},"[\"yV03lm0AAAAJ\"]",{"VOID":156},"A5018117795",{"id":158,"sortIndex":159,"researcher":24,"roles":160,"affiliations":161,"properties":170,"displayName":174,"givenName":24,"familyName":24},"2cda275c-377d-4ad8-a0e3-4f2536cb1410",2,[],[162],{"id":163,"sortIndex":25,"affiliation":164,"properties":24},"2d650b51-e098-4eb9-8645-03ad51d66841",{"id":163,"createTime":24,"updateTime":24,"relativeEntities":165,"slug":24,"properties":166,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":169,"statistic":24},[],{"title":167},{"EN":168},"Grupo de Meteorologíia, Instituto de Física de Cantabria, CSIC-Universidad de Cantabria, 39005 Santander, Spain",[],{"orcid":171,"title":173,"gsAuthor":175,"openalex":177},{"VOID":172},"https:\u002F\u002Forcid.org\u002F0000-0002-2766-6297",{"EN":174},"José Manuel Gutiérrez",{"VOID":176},"[\"gFex3BcAAAAJ\"]",{"VOID":178},"A5078142331","ARTICLE",{"url":24,"publisher":181,"properties":219},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":182,"slug":10,"properties":183,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":188,"manageAffiliations":193,"indexDatabases":204,"url":85,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":184,"eissn":185,"issn":186,"title":187},{"VOID":13},{"VOID":15},{"VOID":17},{"EN":19},[189],{"id":28,"createTime":24,"updateTime":24,"relativeEntities":190,"label":191,"description":192,"parentId":24,"standard":24,"scholarHubFieldId":24},[],{"EN":31},{},[194,199],{"id":35,"createTime":24,"updateTime":24,"relativeEntities":195,"slug":24,"properties":196,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":198,"statistic":24},[],{"title":197},{"EN":39},[],{"id":42,"createTime":24,"updateTime":24,"relativeEntities":200,"slug":24,"properties":201,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":203,"statistic":24},[],{"title":202},{"EN":46},[],[205,212],{"id":50,"indexDatabase":206,"url":63,"indexYears":24,"academicFieldIds":211,"indexDatabaseRanking":24},{"id":52,"createTime":24,"updateTime":24,"relativeEntities":207,"label":208,"description":209,"key":59,"publicationTags":210,"standard":24},[],{"EN":55,"VI":55},{"EN":57,"VI":58},[61,62],[65,66,67],{"id":69,"indexDatabase":213,"url":80,"indexYears":81,"academicFieldIds":218,"indexDatabaseRanking":84},{"id":71,"createTime":24,"updateTime":24,"relativeEntities":214,"label":215,"description":216,"key":77,"publicationTags":217,"standard":24},[],{"EN":74,"VI":74},{"EN":74,"VI":76},[79],[83],{"issue":220,"pages":222,"volume":224},{"VOID":221},"1",{"VOID":223},"53-66",{"VOID":225},"14",{"total":25,"publishYear":24,"statisticByYear":227},{},"DONE_ANALYZE_CITATION",[],[231,234,238,242,246,250,254,258,262,265,269,273,277,281,285,289,292,296,300,304,308,312,316,319,323,327,331,335,339,343,347,350,354,357,361,365,368,371,375,379,383,387,390,393,397,401,405,408,412,416,420,423,427],{"id":24,"text":232,"url":24,"identifiers":233},"Allué, J.: Atlas Fitoclimático de España. Taxonom\\\\'ias, Tech. rep., Instituto Nacional de Investigaciones Agrarias, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain, 221 pp., 1990.",{},{"id":24,"text":235,"url":24,"identifiers":236},"Amatulli, G., Camia, A., and San-Miguel-Ayanz, J.: Estimating future burned areas under changing climate in the EU-Mediterranean countries, Sci. Total Environ., 450, 209–222, 2013.",{"doi":237},"10.1016\u002Fj.scitotenv.2013.02.014",{"id":24,"text":239,"url":24,"identifiers":240},"Balshi, M., McGuire, A., Duffy, P., Flannigan, M., Walsh, J., and Melillo, J.: Assessing the response of area burned to changing climate in wester boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach, Glob. Change Biol., 15, 578–600, 2009.",{"doi":241},"10.1111\u002Fj.1365-2486.2008.01679.x",{"id":24,"text":243,"url":24,"identifiers":244},"Barbati, A., Arianoutsou, M., Corona, P., De Las Heras, J., Fernandes, P., Moreira, F., Papageorgiou, K., Vallejo, R., and Xanthopoulos, G.: Post-fire forest management in southern Europe: a COST action for gathering and disseminating scientific knowledge, IForest-Biogeosciences and Foresty, 3, 5–7, 2010.",{"doi":245},"10.3832\u002Fifor0523-003",{"id":24,"text":247,"url":24,"identifiers":248},"Bedia, J., Busqué, J., and Gutiérrez, J. M.: Predicting plant species distribution across an alpine rangeland in northern Spain: a comparison of probabilistic methods, Appl. Veg. Sci., 14, 415–432, 2011.",{"doi":249},"10.1111\u002Fj.1654-109X.2011.01128.x",{"id":24,"text":251,"url":24,"identifiers":252},"Bedia, J., Herrera, S., Gutiérrez, J. M., Zavala, G., Urbieta, I. R., and Moreno, J. M.: Sensitivity of fire weather index to different reanalysis products in the Iberian Peninsula, Nat. Hazards Earth Syst. Sci., 12, 699–708, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fnhess-12-699-2012, 2012.",{"doi":253},"10.5194\u002Fnhess-12-699-2012",{"id":24,"text":255,"url":24,"identifiers":256},"Bedia, J., Herrera, S., and Gutiérrez, J. M.: Dangers of using global bioclimatic datasets for ecological niche modeling. Limitations for future climate projections, Global Planetary Change, 107, 1–12, 2013.",{"doi":257},"10.1016\u002Fj.gloplacha.2013.04.005",{"id":24,"text":259,"url":24,"identifiers":260},"Beerling, D. J. and Osborne, C. P.: The origin of the savanna biome, Global Change Biology, 12, 2023–2031, 2006.",{"doi":261},"10.1111\u002Fj.1365-2486.2006.01239.x",{"id":24,"text":263,"url":24,"identifiers":264},"Beguer\\\\'ia, S. and Vicente-Serrano, S. M.: SPEI: Calculation of the Standardised Precipitation-Evapotranspiration Index, r package version 1.3, 2013.",{},{"id":24,"text":266,"url":24,"identifiers":267},"Bond, W., Woodward, F., and Midgley, G.: The global distribution of ecosystems in a world without fire, New Phythol., 165, 525–537, 2005.",{"doi":268},"10.1111\u002Fj.1469-8137.2004.01252.x",{"id":24,"text":270,"url":24,"identifiers":271},"Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M., Cochrane, M. A., D'Antonio, C. M., DeFries, R. S., Doyle, J. C., Harrison, S. P., Johnston, F. H., Keeley, J. E., Krawchuk, M. A., Kull, C. A., Marston, J. B., Moritz, M. A., Prentice, I. C., Roos, C. I., Scott, A. C., Swetnam, T. W., van der Werf, G. R., and Pyne, S. J.: Fire in the Earth System, Science, 324, 481–484, 2009.",{"doi":272},"10.1126\u002Fscience.1163886",{"id":24,"text":274,"url":24,"identifiers":275},"Camia, A. and Amatulli, G.: Weather Factors and Fire Danger in the Mediterranean, in: Earth Observation of Wildland Fires in Mediterranean Ecosystems, edited by: Chuvieco, E., 71–82, Springer Berlin Heidelberg, Berlin, Heidelberg, 2009.",{"doi":276},"10.1007\u002F978-3-642-01754-4_6",{"id":24,"text":278,"url":24,"identifiers":279},"Camia, A., Barbosa, P., Amatulli, G., and San-Miguel-Ayanz, J.: Fire danger rating in the European Forest Fire Information System (EFFIS): current developments, in: Vth International Conference on Forest Fire Research, edited by: Viegas, D., Figueira da Foz, Portugal, 2006.",{"doi":280},"10.1016\u002Fj.foreco.2006.08.036",{"id":24,"text":282,"url":24,"identifiers":283},"Carvalho, A., Flannigan, M. D., Logan, K. A., Gowman, L., Miranda, A. I., and Borrego, C.: The impact of spatial resolution on area burned and fire occurrence projections in Portugal under climate change, Clim. Change, 98, 177–197, 2010.",{"doi":284},"10.1007\u002Fs10584-009-9667-2",{"id":24,"text":286,"url":24,"identifiers":287},"Carvalho, A., Carvalho, A., Martins, H., Marques, C., Rocha, A., Borrego, C., Viegas, D., and Miranda, A.: Fire weather risk assessment under climate change using a dynamical downscaling approach, Environ. Modell. Software, 26, 1123–1133, 2011.",{"doi":288},"10.1016\u002Fj.envsoft.2011.03.012",{"id":24,"text":290,"url":24,"identifiers":291},"Catry, F. X., Rego, F. C., Silva, J. S., Moreira, F., Camia, A., Ricotta, C., and Conedera, M.: Fire Starts and Human Activities, in: towards integrated fire management: outcomes of the European project fire paradox, edited by Silva, J. S., Rego, F. C., Fernandes, P., and Rigolot, E., 9–48, 2010.",{},{"id":24,"text":293,"url":24,"identifiers":294},"Chevan, A. and Sutherland, M.: Hierarchical Partitioning, The American Statistician, 45, 90–96, 1991.",{"doi":295},"10.1080\u002F00031305.1991.10475776",{"id":24,"text":297,"url":24,"identifiers":298},"de Torres Curth, M., Biscayart, C., Ghermandi, L., and Pfister, G.: Wildland–Urban Interface Fires and Socioeconomic Conditions: A Case Study of a Northwestern Patagonia City, Environ. Manag., 49, 876–891, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00267-012-9825-6, 2012.",{"doi":299},"10.1007\u002Fs00267-012-9825-6",{"id":24,"text":301,"url":24,"identifiers":302},"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., Park, B., 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, Quart. J. R. Meteorol. Soc., 137, 553–597, 2011.",{"doi":303},"10.1002\u002Fqj.828",{"id":24,"text":305,"url":24,"identifiers":306},"Flannigan, M., Logan, K., Amiro, B., Skinner, W., and Stocks, B.: Future area burned in Canada, Clim. Change, 72, 1–16, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10584-005-5935-y, 2005.",{"doi":307},"10.1007\u002Fs10584-005-5935-y",{"id":24,"text":309,"url":24,"identifiers":310},"Friedman, J. H.: Multivariate adaptive regression splines, Ann. Stat., 19, 1–67, 1991.",{"doi":311},"10.1214\u002Faos\u002F1176347963",{"id":24,"text":313,"url":24,"identifiers":314},"Hardy, C.: Wildland fire hazard and risk: Problems, definitions, and context, Symposium on Relative Risk Assessments for Decision-Making Related to Uncharacteristic Wildfire, Portland, OR, NOV, 2003, 211, 73–82, Forest Ecol. Manag., 2005.",{"doi":315},"10.1016\u002Fj.foreco.2005.01.029",{"id":24,"text":317,"url":24,"identifiers":318},"Jolliffe, I. and Stephenson, D., eds.: Forecast Verification. A Practitioner's guide in Atmospheric Science, Wiley, Chichester, England, 2003.",{},{"id":24,"text":320,"url":24,"identifiers":321},"Koutsias, N., Xanthopoulos, G., Founda, D., Xystrakis, F., Nioti, F., Pleniou, M., Mallinis, G., and Arianoutsou, M.: On the relationships between forest fires and weather conditions in Greece from long-term national observations (1894–2010), Int. J. 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Large-scale fires occur frequently across Indonesia, particularly in the southern region of Kalimantan and eastern Sumatra. They have considerable impacts on carbon emissions, haze production, biodiversity, health, and economic activities.  In this study, we demonstrate that severe fire and haze events in Indonesia can generally be predicted months in advance using predictions of seasonal rainfall from the ECMWF System 4 coupled ocean–atmosphere model. Based on analyses of long, up-to-date series observations on burnt area, rainfall, and tree cover, we demonstrate that fire activity is negatively correlated with rainfall and is positively associated with deforestation in Indonesia. There is a contrast between the southern region of Kalimantan (high fire activity, high tree cover loss, and strong non-linear correlation between observed rainfall and fire) and the central region of Kalimantan (low fire activity, low tree cover loss, and weak, non-linear correlation between observed rainfall and fire).  The ECMWF seasonal forecast provides skilled forecasts of burnt and fire-affected area with several months lead time explaining at least 70% of the variance between rainfall and burnt and fire-affected area. Results are strongly influenced by El Niño years which show a consistent positive bias. Overall, our findings point to a high potential for using a more physical-based method for predicting fires with several months lead time in the tropics rather than one based on indexes only. 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Wildland Fire, 12, 175–184, 2003.",{"doi":947},"10.1071\u002FWF02035",{"id":24,"text":949,"url":24,"identifiers":950},"van der Werf, G. R., Dempewolf, J., Trigg, S. N., Randerson, J. T., Kasibhatla, P. S., Giglio, L., and DeFries, R. S.: Climate regulation of fire emissions and deforestation in equatorial Asia, P. Natl. Acad. Sci., 105, 20350–20355, 2008.",{"doi":951},"10.1073\u002Fpnas.0803375105",{"id":24,"text":953,"url":24,"identifiers":954},"van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen, T. T.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10, 11707–11735, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-10-11707-2010, 2010.",{"doi":955},"10.5194\u002Facp-10-11707-2010",{"id":24,"text":957,"url":24,"identifiers":958},"van Oldenborgh, J. G., Balmaseda, M. A., Ferranti, L., Stockdale, T. N., and Anderson, D. L.: Did the ECMWF seasonal forecast model outperform statistical ENSO forecast models over the last 15 years?, J. Climate, 18, 3240–3249, 2005.",{"doi":959},"10.1175\u002FJCLI3420.1",{"id":24,"text":961,"url":24,"identifiers":962},"Wang, Y., Field, R. D., and Roswintiarti, O.: Trends in atmospheric haze induced by peat fires in Sumatra Island, Indonesia and El Niño phenomenon from 1973 to 2003. Geophys. Res. Lett., 31, L04103, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2003GL018853, 2004.",{"doi":963},"10.1029\u002F2003GL018853",{"id":24,"text":965,"url":24,"identifiers":966},"Wooster, M. J., Perry, G. L. W., and Zoumas, A.: Fire, drought and El Niño relationships on Borneo (Southeast Asia) in the pre-MODIS era (1980–2000), Biogeosciences, 9, 317–340, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fbg-9-317-2012, 2012.",{"doi":967},"10.5194\u002Fbg-9-317-2012",{"id":969,"createTime":970,"updateTime":971,"relativeEntities":972,"slug":973,"properties":974,"entityType":109,"verifyStatus":110,"verifyTime":986,"verifyNote":111,"languages":987,"translateLanguages":24,"viewCount":25,"primaryUrl":988,"fullTextUrl":24,"authors":989,"publicationType":179,"publisherRelationship":1098,"citationCount":1144,"citationInfo":1145,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":743,"lastCitationAnalyze":971,"indexDatabases":1147,"openAccess":24,"references":1148,"isForceReanalyzing":430},"2e869a46-9d3e-41ea-8087-4e64b786bb72","2024-10-08T10:03:14.003+00:00","2025-11-17T18:35:30.241+00:00",[],"Technical-Note-Implementation-of-a-geodatabase-of-published-and-unpublished-data-on-the-catastrophic-Vaiont-landslide",{"openalex":975,"mag":977,"abstract":979,"title":981,"gsPaper":983,"doi":984},{"VOID":976},"W2123235788",{"VOID":978},"2123235788",{"EN":980},"\u003Cjats:p>Abstract. On 9 October 1963 a catastrophic landslide suddenly occurred on the southern slope of the Vaiont dam reservoir. A mass of approximately 270 million m3 collapsed into the reservoir generating a wave that overtopped the dam and hit the town of Longarone and other villages nearby. Several investigations and interpretations of the slope collapse have been carried out during the last 45 years, however, a comprehensive explanation of both the triggering and the dynamics of the phenomenon has yet to be provided.  In order to re-evaluate the currently existing information on the slide, an electronic bibliographic database and an ESRI-geodatabase have been developed. The chronology of the collected documentation showed that most of the studies for re-evaluating the failure mechanisms were conducted in the last decade, as a consequence of knowledge, methods and techniques recently acquired. The current contents of the geodatabase will improve definition of the structural setting that influenced the slide and led to the the propagation of the displaced rock mass.  The objectives, structure and contents of the e-bibliography and Geodatabase are indicated, together with a brief description on the possible use of the alphanumeric and spatial contents of the databases.\n                    \u003C\u002Fjats:p>",{"EN":982},"Technical Note: Implementation of a geodatabase of published and unpublished data on the catastrophic Vaiont landslide",{"VOID":447},{"VOID":985},"10.5194\u002Fnhess-10-865-2010","2024-10-08T10:03:14.002+00:00",[113],"https:\u002F\u002Fnhess.copernicus.org\u002Farticles\u002F10\u002F865\u002F2010\u002F",[990,1007,1024,1043,1060,1079],{"id":991,"sortIndex":25,"researcher":24,"roles":992,"affiliations":993,"properties":1002,"displayName":1004,"givenName":24,"familyName":24},"4acf4f68-9b36-404f-8926-7293c9469297",[],[994],{"id":995,"sortIndex":25,"affiliation":996,"properties":24},"b4c2fd57-7eee-4d49-8188-d76e15280cc5",{"id":995,"createTime":24,"updateTime":24,"relativeEntities":997,"slug":24,"properties":998,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1001,"statistic":24},[],{"title":999},{"VI":1000},"Department of Geosciences, University of Padova, Italy",[],{"title":1003,"openalex":1005},{"EN":1004},"Laura Superchi",{"VOID":1006},"A5056429476",{"id":1008,"sortIndex":139,"researcher":24,"roles":1009,"affiliations":1010,"properties":1017,"displayName":1021,"givenName":24,"familyName":24},"9fb9110a-be79-41e5-af20-b8e010e4e510",[],[1011],{"id":995,"sortIndex":25,"affiliation":1012,"properties":24},{"id":995,"createTime":24,"updateTime":24,"relativeEntities":1013,"slug":24,"properties":1014,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1016,"statistic":24},[],{"title":1015},{"VI":1000},[],{"orcid":1018,"title":1020,"openalex":1022},{"VOID":1019},"https:\u002F\u002Forcid.org\u002F0000-0002-8691-2179",{"EN":1021},"Mario Floris",{"VOID":1023},"A5069213033",{"id":1025,"sortIndex":159,"researcher":24,"roles":1026,"affiliations":1027,"properties":1036,"displayName":1040,"givenName":24,"familyName":24},"8a074d56-9de8-4e32-bd37-55a837c70749",[],[1028],{"id":1029,"sortIndex":25,"affiliation":1030,"properties":24},"ccb5b884-b279-4cce-8040-11b56fbd0d6c",{"id":1029,"createTime":24,"updateTime":24,"relativeEntities":1031,"slug":24,"properties":1032,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1035,"statistic":24},[],{"title":1033},{"EN":1034},"Department of Earth and Geo-Environmental Sciences, University of Bologna, Italy",[],{"orcid":1037,"title":1039,"openalex":1041},{"VOID":1038},"https:\u002F\u002Forcid.org\u002F0000-0002-8707-9158",{"EN":1040},"Monica Ghirotti",{"VOID":1042},"A5078067415",{"id":1044,"sortIndex":542,"researcher":24,"roles":1045,"affiliations":1046,"properties":1053,"displayName":1057,"givenName":24,"familyName":24},"28b7eca1-fd63-46f2-bf13-93b94f3e8694",[],[1047],{"id":995,"sortIndex":25,"affiliation":1048,"properties":24},{"id":995,"createTime":24,"updateTime":24,"relativeEntities":1049,"slug":24,"properties":1050,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1052,"statistic":24},[],{"title":1051},{"VI":1000},[],{"orcid":1054,"title":1056,"openalex":1058},{"VOID":1055},"https:\u002F\u002Forcid.org\u002F0000-0001-7065-8500",{"EN":1057},"R. 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This work investigates historical variation and trends in storm climate for the South Portugal region, using data from wave buoy measurements and from modelling, for the period 1952 to 2009. Several storm parameters (annual number of storms; annual number of days with storms; annual maximum and mean individual storm duration and annual 99.8th percentile of significant wave height) were used to analyse: (1) historical storminess trends; (2) storm parameter variability and relationships; and (3) historical storminess and its relationship to the North Atlantic Oscillation (NAO). No statistically significant linear increase or decrease was found in any of the storm parameters over the period of interest. The main pattern of storm characteristics and extreme wave heights is an oscillatory variability with intensity peaks every 7–8 yr, and the magnitude of recent variations is comparable with that of variations observed in the earlier parts of the record. In addition, the results reveal that the NAO index is able to explain only a small percentage of the variation in storm wave height, suggesting that more local factors may be of importance in controlling storminess in this region.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Nghiên cứu này khảo sát sự biến động lịch sử và xu hướng khí hậu bão tố tại khu vực phía Nam Bồ Đào Nha, sử dụng dữ liệu từ các phép đo phao sóng và từ mô hình, trong khoảng thời gian từ 1952 đến 2009. Nhiều tham số bão tố (số lượng bão hàng năm; số ngày có bão hàng năm; thời gian bão tối đa và trung bình hàng năm; và độ cao sóng quan trọng tại phân vị 99.8 hàng năm) đã được sử dụng để phân tích: (1) xu hướng bão tố lịch sử; (2) sự biến đổi và mối quan hệ của các tham số bão tố; và (3) bão tố lịch sử và mối quan hệ của nó với dao động Bắc Đại Tây Dương (NAO). Không có sự gia tăng hay giảm sút tuyến tính có ý nghĩa thống kê nào được tìm thấy trong bất kỳ tham số bão nào trong khoảng thời gian nghiên cứu. Mô hình chính của đặc điểm bão tố và độ cao sóng cực trị mang tính biến đổi dao động với các đỉnh cường độ mỗi 7–8 năm, và mức độ biến đổi gần đây là tương đương với các biến đổi quan sát được trong các phần trước của bản ghi. Thêm vào đó, kết quả cho thấy chỉ số NAO chỉ giải thích một phần nhỏ sự biến động của độ cao sóng bão, gợi ý rằng nhiều yếu tố địa phương có thể quan trọng trong việc kiểm soát sự bão tố ở khu vực này.\u003C\u002Fjats:p>",{"EN":1164,"VI":1165},"Historical variation and trends in storminess along the Portuguese South Coast","Biến động lịch sử và xu hướng bão tố d沿 bờ biển phía Nam Bồ Đào Nha",{"VI":1167},"Khí hậu bão tố, dao động Bắc Đại Tây Dương, độ cao sóng, Bồ Đào 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Coastal Res., 4, 417–433, 1989.",{},{"id":24,"text":1345,"url":24,"identifiers":1346},"Dorman, C., Beardsley, R., and Limeburner, R.: Winds in the Strait of Gibraltar, Quart. J. Roy. Meteorol. Soc., 121, 1903–1921, 1995.",{"doi":1347},"10.1002\u002Fqj.49712152807",{"id":24,"text":1349,"url":24,"identifiers":1350},"Dorsch, W., Newland, T., Tassone, D., Tymons, S., and Walker, D.: A statistical approach to modelling the temporal patterns of ocean storms, J. Coastal Res., 24, 1430–1438, 2008.",{"doi":1351},"10.2112\u002F07-0847.1",{"id":24,"text":1353,"url":24,"identifiers":1354},"Ferreira, Ó., Vousdoukas, M. V., and Ciavola, P.: MICORE Review of Climate Change Impacts on Storm Occurrence, (Open access, Deliverable WP1.4), 2009.",{},{"id":24,"text":1356,"url":24,"identifiers":1357},"Feser, F., Weisse, R., and von Storch, H.: Multi-decadal atmospheric modelling for Europe yields multi-purpose data, EOS Transactions, 82(28), 305–310, 2001.",{"doi":1358},"10.1029\u002F01EO00176",{"id":24,"text":1360,"url":24,"identifiers":1361},"Geng, Q. and Sugi, M.: Variability of the North Atlantic cyclone activity in winter analysed from NCEP-NCAR reanalysis data, J. Climate, 14, 3863–3873, 2001.",{"doi":1362},"10.1175\u002F1520-0442(2001)014\u003C3863:VOTNAC>2.0.CO;2",{"id":24,"text":1364,"url":24,"identifiers":1365},"Graham, N. E. and Diaz, H. F.: Evidence for intensification of North Pacific winter cyclones since 1948, B. Am. Meteorol. Soc., 82, 1869–1893, 2001.",{"doi":1366},"10.1175\u002F1520-0477(2001)082\u003C1869:EFIONP>2.3.CO;2",{"id":24,"text":1368,"url":24,"identifiers":1369},"Grigorieva, V. and Gulev, S.: Extreme wind waves worldwide from the VOS data and their changes over the last 50 years, Proceedings of 9th International Workshop on Wave Hindcasting and Forecasting, September Victoria, British Columbia, Canada, 24–29, 2006.",{},{"id":24,"text":1371,"url":24,"identifiers":1372},"Gulev, S. K., Zolina, O., and Grigoriev, S.: Extratropical cyclone variability in the Northern Hemisphere winter from the NCEP\u002FNCAR Reanalysis data, Clim. Dynam., 17, 795–809, 2001.",{"doi":1373},"10.1007\u002Fs003820000145",{"id":24,"text":1375,"url":24,"identifiers":1376},"Hurrell, J. W.: Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitations, Science, 269, 676–679, 1995.",{"doi":1377},"10.1126\u002Fscience.269.5224.676",{"id":24,"text":1379,"url":24,"identifiers":1380},"Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A., Reynolds, B., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.: The NCEP\u002FNCAR 40-Year Reanalysis Project, B. Am. Meteorol. Soc., 77, 437–472, 1996.",{"doi":1381},"10.1175\u002F1520-0477(1996)077\u003C0437:TNYRP>2.0.CO;2",{"id":24,"text":1383,"url":24,"identifiers":1384},"Kushnir, Y., Cardone, V. J., Greenwood, J. G., and Cane, M. A.: The recent increase in North Atlantic wave heights, J. Clim., 10, 2107–2113, 1997.",{"doi":1385},"10.1175\u002F1520-0442(1997)010\u003C2107:TRIINA>2.0.CO;2",{"id":24,"text":1387,"url":24,"identifiers":1388},"Lozano, I., Devoy, R. J. N., May, W., and Andersen, U.: Storminess and vulnerability along Atlantic coastlines of Europe: analysis of storm records and of a greenhouse gases induced climate scenario, Mar. Geol., 201, 205–225, 2004.",{"doi":1389},"10.1016\u002Fj.margeo.2004.05.026",{"id":24,"text":1391,"url":24,"identifiers":1392},"Matulla, C., Schöner, W., and Alexandersson, H.: European storminess: late nineteenth century to present, Clim. Dynam., 31, 125–130, 2007.",{"doi":1393},"10.1007\u002Fs00382-007-0333-y",{"id":24,"text":1395,"url":24,"identifiers":1396},"Morton, I. D., Bowers, J., and Mould, G.: Estimating return period wave heights and wind speed using a seasonal point process model, Coast. Eng., 31, 305–326, 1997.",{"doi":1397},"10.1016\u002FS0378-3839(97)00016-1",{"id":24,"text":1399,"url":24,"identifiers":1400},"Pessanha, L. and Pires, O.: Elementos sobre o clima de agitação marítima na costa Sul do Algarve, Report Instituto de Meteorologia, 67 pp., 1981.",{},{"id":24,"text":1402,"url":24,"identifiers":1403},"Pilar, P., Soares, C. G., and Carretero, J. C.: 44-year wave hindcast for the North East Atlantic European coast, Coast. Eng., 55, 861–871, 2008.",{"doi":1404},"10.1016\u002Fj.coastaleng.2008.02.027",{"id":24,"text":1406,"url":24,"identifiers":1407},"Schwartz, M. L.: Encyclopedia of Coastal Science. Springer, Dordrecht, Netherlands, 2005.",{"doi":1408},"10.1007\u002F1-4020-3880-1",{"id":24,"text":1410,"url":24,"identifiers":1411},"Serreze, M. C., Carse, F., Barry, R. G., and Rogers J. C.: Iceland low cyclone activity: Climatological features, linkages with the NAO, and relationships with the recent changes in the Northen Hemisphere circulation, J. Climate, 10, 453–464, 1997.",{"doi":1412},"10.1175\u002F1520-0442(1997)010\u003C0453:ILCACF>2.0.CO;2",{"id":24,"text":1414,"url":24,"identifiers":1415},"Swail, V. R., Ceccacci, E. A., and Cox, A. T.: The AES40 north Atlantic wave reanalysis validation and climate assessment, 6th International Workshop on wave hindcasting and forecasting, Monterey, California, USA, 2000.",{},{"id":24,"text":1417,"url":24,"identifiers":1418},"Tawn, J. A.: An extreme-value theory model for dependent observations, J. Hydrol., 101, 227–250, 1988.",{"doi":1419},"10.1016\u002F0022-1694(88)90037-6",{"id":24,"text":1421,"url":24,"identifiers":1422},"Tolman, H. L.: User manual and system documentation of WAVEWATCH III version 3.14, NOAA\u002FNWS\u002FNCEP\u002FMMAB Technical Note 276, 194 pp., 2009.",{},{"id":24,"text":1424,"url":24,"identifiers":1425},"WASA: Changing waves and storms in the northeast Atlantic, B. Am. Meteorol. Soc., 79, 741–760, 1998.",{"doi":1426},"10.1175\u002F1520-0477(1998)079\u003C0741:CWASIT>2.0.CO;2",{"id":24,"text":1428,"url":24,"identifiers":1429},"Wang, X. L. and Swail, V. R.: Changes of extreme wave heights in Northern hemisphere oceans and related atmospheric circulation regimes, J. Climate, 14, 2204–2221, 2000.",{"doi":1430},"10.1175\u002F1520-0442(2001)014\u003C2204:COEWHI>2.0.CO;2",{"id":24,"text":1432,"url":24,"identifiers":1433},"Wang, X. L. and Swail, V.: Trends of atlantic wave extremes as simulated in a 40-yr wave hindcast using kinematically reanalyzed wind fields, J. Climate, 15, 1020–1035, 2001.",{"doi":1434},"10.1175\u002F1520-0442(2002)015\u003C1020:TOAWEA>2.0.CO;2",{"id":24,"text":1436,"url":24,"identifiers":1437},"Wang, X. L., Zwiers, F. W., and Swail, V. R.: North Atlantic ocean wave climate change scenarios for the twenty-first century, J. Clim., 17, 2368–2383, 2003.",{"doi":1438},"10.1175\u002F1520-0442(2004)017\u003C2368:NAOWCC>2.0.CO;2",{"id":24,"text":1440,"url":24,"identifiers":1441},"Wang, X. L., Swail, V. R., and Zwiers, F. W.: Climatology and changes of extratropical cyclone activicty: comparison of ERA-40 with NCEP-NCAR reanalysis for 1958–2001, J. Climate, 19, 3145–3166, 2006.",{"doi":1442},"10.1175\u002FJCLI3781.1",{"id":24,"text":1444,"url":24,"identifiers":1445},"Weisse, R., von Storch, H., Callies, U., Chrastansky, A., Feser, F., Grabemann, I., Guenther, H., Pluess, A., Stoye, T., Tellkamp, J., Winterfeldt J., and Woth, K.: Regional meteorological-marine reanalyses and climate change projections: Results for Northern Europe and potentials for coastal and offshore applications, B. Am. Meteorol. Soc., 90, 849–860, 2009.",{"doi":1446},"10.1175\u002F2008BAMS2713.1",{"id":1448,"createTime":1449,"updateTime":1450,"relativeEntities":1451,"slug":1452,"properties":1453,"entityType":109,"verifyStatus":110,"verifyTime":1449,"verifyNote":111,"languages":1468,"translateLanguages":1469,"viewCount":25,"primaryUrl":1470,"fullTextUrl":24,"authors":1471,"publicationType":179,"publisherRelationship":1546,"citationCount":1591,"citationInfo":1592,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1600,"openAccess":24,"references":1601,"isForceReanalyzing":430},"8ea8c0a1-492b-4e6f-b4ec-438c396b7b31","2024-09-25T08:54:21.869+00:00","2025-02-21T07:47:09.813+00:00",[],"An-algorithm-for-operational-flood-mapping-from-Synthetic-Aperture-Radar-SAR-data-using-fuzzy-logic",{"openalex":1454,"mag":1456,"abstract":1458,"title":1461,"keywords":1464,"doi":1466},{"VOID":1455},"W2149960531",{"VOID":1457},"2149960531",{"EN":1459,"VI":1460},"\u003Cjats:p>Abstract. An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented in this paper. It is conceived to be inserted in the operational flood management system of the Italian Civil Protection and can be used in an almost automatic mode or in an interactive mode, depending on the user's needs. The approach is based on the fuzzy logic that is used to integrate theoretical knowledge about the radar return from inundated areas taken into account by means of three electromagnetic scattering models, with simple hydraulic considerations and contextual information. This integration aims at allowing a user to cope with situations, such as the presence of vegetation in the flooded area, in which inundation mapping from satellite radars represents a difficult task. The algorithm is designed to work with radar data at L, C, and X frequency bands and employs also ancillary data, such as a land cover map and a digital elevation model. The flood mapping procedure is tested on an inundation that occurred in Albania on January 2010 using COSMO-SkyMed very high resolution X-band SAR data.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Bài báo này trình bày một thuật toán được phát triển để lập bản đồ các khu vực ngập lụt từ hình ảnh radar tổng hợp. Thuật toán này được thiết kế để được đưa vào hệ thống quản lý lũ lụt hoạt động của Cơ quan Bảo vệ Dân sự Ý và có thể được sử dụng ở chế độ gần như tự động hoặc ở chế độ tương tác, tùy thuộc vào nhu cầu của người dùng. Phương pháp này dựa trên logic mờ, được sử dụng để tích hợp kiến thức lý thuyết về phản xạ radar từ các khu vực bị ngập nước, dựa trên ba mô hình tán xạ điện từ, cùng với các cân nhắc thủy lực đơn giản và thông tin ngữ cảnh. Sự tích hợp này nhằm giúp người dùng có thể xử lý các tình huống, chẳng hạn như sự hiện diện của thực vật trong khu vực ngập lụt, trong đó việc lập bản đồ ngập lụt từ radar vệ tinh là một nhiệm vụ khó khăn. Thuật toán này được thiết kế để hoạt động với dữ liệu radar ở các băng tần tần số L, C và X, và cũng sử dụng dữ liệu bổ sung, chẳng hạn như bản đồ che phủ đất và mô hình độ cao số. Quy trình lập bản đồ lũ lụt đã được thử nghiệm trên một đợt ngập xảy ra ở Albania vào tháng 1 năm 2010, sử dụng dữ liệu SAR băng X độ phân giải cao rất lớn từ COSMO-SkyMed.\n                    \u003C\u002Fjats:p>",{"EN":1462,"VI":1463},"An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic","Thuật toán cho việc lập bản đồ lũ lụt trong hoạt động từ dữ liệu Radar tổng hợp (SAR) sử dụng logic mờ",{"VI":1465},"",{"VOID":1467},"10.5194\u002Fnhess-11-529-2011",[113],[1172],"https:\u002F\u002Fnhess.copernicus.org\u002Farticles\u002F11\u002F529\u002F2011\u002F",[1472,1491,1508,1527],{"id":1473,"sortIndex":25,"researcher":24,"roles":1474,"affiliations":1475,"properties":1484,"displayName":1488,"givenName":24,"familyName":24},"ebd43e25-ce71-41b5-8cd3-596ce2d5a884",[],[1476],{"id":1477,"sortIndex":25,"affiliation":1478,"properties":24},"3db66000-a1b8-4b04-8985-2e174fba0a72",{"id":1477,"createTime":24,"updateTime":24,"relativeEntities":1479,"slug":24,"properties":1480,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1483,"statistic":24},[],{"title":1481},{"VI":1482},"Department of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Via Eudossiana 18, 00184 Rome, Italy",[],{"orcid":1485,"title":1487,"openalex":1489},{"VOID":1486},"https:\u002F\u002Forcid.org\u002F0000-0001-8483-1490",{"EN":1488},"Luca Pulvirenti",{"VOID":1490},"A5007265352",{"id":1492,"sortIndex":139,"researcher":24,"roles":1493,"affiliations":1494,"properties":1501,"displayName":1505,"givenName":24,"familyName":24},"fa7151d6-7139-4fa4-880d-946b01d50edd",[],[1495],{"id":1477,"sortIndex":25,"affiliation":1496,"properties":24},{"id":1477,"createTime":24,"updateTime":24,"relativeEntities":1497,"slug":24,"properties":1498,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1500,"statistic":24},[],{"title":1499},{"VI":1482},[],{"orcid":1502,"title":1504,"openalex":1506},{"VOID":1503},"https:\u002F\u002Forcid.org\u002F0000-0002-1232-5377",{"EN":1505},"Nazzareno 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The synoptic evolution and some meteorological impacts of the European winter storm Kyrill that swept across Western, Central, and Eastern Europe between 17 and 19 January 2007 are investigated. The intensity and large storm damage associated with Kyrill is explained based on synoptic and mesoscale environmental storm features, as well as on comparisons to previous storms. Kyrill appeared on weather maps over the US state of Arkansas about four days before it hit Europe. It underwent an explosive intensification over the Western North Atlantic Ocean while crossing a very intense zonal polar jet stream. A superposition of several favourable meteorological conditions west of the British Isles caused a further deepening of the storm when it started to affect Western Europe. Evidence is provided that a favourable alignment of three polar jet streaks and a dry air intrusion over the occlusion and cold fronts were causal factors in maintaining Kyrill's low pressure very far into Eastern Europe.  Kyrill, like many other strong European winter storms, was embedded in a pre-existing, anomalously wide, north-south mean sea-level pressure (MSLP) gradient field. In addition to the range of gusts that might be expected from the synoptic-scale pressure field, mesoscale features associated with convective overturning at the cold front are suggested as the likely causes for the extremely damaging peak gusts observed at many lowland stations during the passage of Kyrill's cold front. Compared to other storms, Kyrill was by far not the most intense system in terms of core pressure and circulation anomaly. However, the system moved into a pre-existing strong MSLP gradient located over Central Europe which extended into Eastern Europe. This fact is considered determinant for the anomalously large area affected by Kyrill.  Additionally, considerations of windiness in climate change simulations using two state-of-the-art regional climate models driven by ECHAM5 indicate that not only Central, but also Eastern Central Europe may be affected by higher surface wind speeds at the end of the 21st century. These changes are partially associated with the increased pressure gradient over Europe which is identified in the ECHAM5 simulations. Thus, with respect to the area affected, as well as to the synoptic and mesoscale storm features, it is proposed that Kyrill may serve as an interesting study case to assess future storm impacts.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Trích dẫn. Sự phát triển đồng bộ và một số tác động khí tượng của cơn bão mùa đông Kyrill châu Âu đã xảy ra trên Tây Âu, Trung Âu và Đông Âu từ ngày 17 đến ngày 19 tháng 1 năm 2007 được nghiên cứu. Cường độ và thiệt hại lớn về bão liên quan đến Kyrill được giải thích dựa trên các đặc điểm môi trường bão đồng bộ và mesoscale, cũng như qua việc so sánh với các cơn bão trước đó. Kyrill xuất hiện trên bản đồ thời tiết ở bang Arkansas của Mỹ khoảng bốn ngày trước khi nó đổ bộ vào châu Âu. Nó đã trải qua một sự gia tăng cường độ đột ngột khi vượt qua Bắc Đại Tây Dương trong khi băng qua một dòng jet cực kỳ mạnh trên trục phương. Sự chồng chéo của một số điều kiện khí tượng thuận lợi phía tây quần đảo Anh đã gây ra sự sâu thêm của bão khi nó bắt đầu ảnh hưởng đến Tây Âu. Có bằng chứng cho thấy sự căn chỉnh thuận lợi của ba vệt jet cực và một làn không khí khô xâm nhập qua các mặt tiền lạnh và mặt tiền chắn là những yếu tố gây ra trong việc duy trì áp suất thấp của Kyrill rất xa vào Đông Âu. Kyrill, giống như nhiều cơn bão mùa đông mạnh khác ở châu Âu, được nhúng trong một trường gradient áp suất trung bình ở mực nước biển (MSLP) Bắc-Nam có độ rộng bất thường trước đó. Ngoài khoảng gió có thể được mong đợi từ trường áp suất đồng bộ, các đặc điểm mesoscale liên quan đến sự lật ngược đối lưu ở mặt trước lạnh được đưa ra như là những nguyên nhân có khả năng cho các đợt gió cực kỳ thiệt hại đã được quan sát tại nhiều trạm vùng trũng trong suốt quá trình cơn bão Kyrill đi qua. So với các cơn bão khác, Kyrill không phải là hệ thống mạnh nhất về áp suất lõi và dị thường dòng chảy. Tuy nhiên, hệ thống đã di chuyển vào một gradient áp suất MSLP mạnh có sẵn nằm trên Trung Âu kéo dài vào Đông Âu. Thực tế này được coi là quyết định cho khu vực bất thường lớn bị ảnh hưởng bởi Kyrill. Ngoài ra, việc xem xét sự gió mạnh trong các mô phỏng biến đổi khí hậu sử dụng hai mô hình khí hậu khu vực tiên tiến do ECHAM5 điều khiển cho thấy rằng không chỉ Trung Âu, mà cả Đông Trung Âu cũng có thể bị ảnh hưởng bởi tốc độ gió bề mặt cao hơn vào cuối thế kỷ 21. Những thay đổi này một phần liên quan đến gradient áp suất tăng lên trên châu Âu mà được xác định trong các mô phỏng ECHAM5. Do đó, với sự liên quan đến khu vực bị ảnh hưởng, cũng như các đặc điểm bão đồng bộ và mesoscale, Kyrill có thể được đề xuất như là một trường hợp nghiên cứu thú vị để đánh giá các tác động của cơn bão trong tương lai.\u003C\u002Fjats:p>",{"EN":1617,"VI":1618},"The European storm Kyrill in January 2007: synoptic evolution, meteorological impacts and some considerations with respect to climate change","Cơn bão châu Âu Kyrill vào tháng 1 năm 2007: sự phát triển đồng bộ, những tác động khí tượng và một số xem xét liên quan đến biến đổi khí hậu",{"VI":1465},{"VOID":1621},"10.5194\u002Fnhess-9-405-2009",[113],[1172],"https:\u002F\u002Fnhess.copernicus.org\u002Farticles\u002F9\u002F405\u002F2009\u002F",[1626,1645,1662,1677,1694],{"id":1627,"sortIndex":25,"researcher":24,"roles":1628,"affiliations":1629,"properties":1638,"displayName":1642,"givenName":24,"familyName":24},"2d797024-5017-49f6-8d14-b1fde603f458",[],[1630],{"id":1631,"sortIndex":25,"affiliation":1632,"properties":24},"544b3983-adf0-44b6-b7a3-11cc7b6ba688",{"id":1631,"createTime":24,"updateTime":24,"relativeEntities":1633,"slug":24,"properties":1634,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1637,"statistic":24},[],{"title":1635},{"EN":1636},"Institute for Geophysics and Meteorology, Univ. of Cologne, Germany",[],{"orcid":1639,"title":1641,"openalex":1643},{"VOID":1640},"https:\u002F\u002Forcid.org\u002F0000-0002-5840-2120",{"EN":1642},"Andreas H. 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Drought is a natural hazard that can cause a wide range of impacts affecting the environment, society, and the economy. Providing an impact assessment and reducing vulnerability to these impacts for regions beyond the local scale, spanning political and sectoral boundaries, requires systematic and detailed data regarding impacts. This study presents an assessment of the diversity of drought impacts across Europe based on the European Drought Impact report Inventory (EDII), a unique research database that has collected close to 5000 impact reports from 33 European countries. The reported drought impacts were classified into major impact categories, each of which had a number of subtypes. The distribution of these categories and types was then analyzed over time, by country, across Europe and for particular drought events. The results show that impacts on agriculture and public water supply dominate the collection of drought impact reports for most countries and for all major drought events since the 1970s, while the number and relative fractions of reported impacts in other sectors can vary regionally and from event to event. The analysis also shows that reported impacts have increased over time as more media and website information has become available and environmental awareness has increased. Even though the distribution of impact categories is relatively consistent across Europe, the details of the reports show some differences. They confirm severe impacts in southern regions (particularly on agriculture and public water supply) and sector-specific impacts in central and northern regions (e.g., on forestry or energy production). The protocol developed thus enabled a new and more comprehensive view on drought impacts across Europe. Related studies have already developed statistical techniques to evaluate the link between drought indices and the categorized impacts using EDII data. The EDII is a living database and is a promising source for further research on drought impacts, vulnerabilities, and risks across Europe. A key result is the extensive variety of impacts found across Europe and its documentation. This insight can therefore inform drought policy planning at national to international levels.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Hạn hán là một mối nguy tự nhiên có thể gây ra nhiều tác động khác nhau ảnh hưởng đến môi trường, xã hội và kinh tế. Việc cung cấp đánh giá tác động và giảm thiểu tổn thương đối với những tác động này cho các khu vực vượt ra ngoài quy mô địa phương, trải qua các ranh giới chính trị và ngành nghề, cần có dữ liệu hệ thống và chi tiết về tác động. Nghiên cứu này trình bày đánh giá về sự đa dạng của các tác động hạn hán trên toàn châu Âu dựa trên báo cáo tác động hạn hán châu Âu (EDII), một cơ sở dữ liệu nghiên cứu độc nhất có gần 5000 báo cáo tác động từ 33 quốc gia châu Âu. Các tác động do hạn hán được phân loại thành các loại tác động chính, mỗi loại bao gồm một số phân loại phụ. Sự phân bố của các loại và phân loại này sau đó đã được phân tích theo thời gian, theo quốc gia, trên toàn châu Âu và cho các sự kiện hạn hán cụ thể. Kết quả cho thấy tác động lên nông nghiệp và cung cấp nước công cộng chiếm ưu thế trong bộ sưu tập báo cáo tác động hạn hán cho hầu hết các quốc gia và cho tất cả các sự kiện hạn hán lớn kể từ những năm 1970, trong khi số lượng và tỷ lệ các tác động được báo cáo ở các ngành khác có thể thay đổi theo khu vực và theo từng sự kiện. Phân tích cũng cho thấy các tác động được báo cáo đã tăng lên theo thời gian khi thông tin từ phương tiện truyền thông và website trở nên phong phú hơn và nhận thức về môi trường gia tăng. Mặc dù sự phân bố của các loại tác động là tương đối đồng nhất trên toàn châu Âu, nhưng chi tiết của các báo cáo cho thấy một số khác biệt. Chúng xác nhận những tác động nghiêm trọng tại các vùng phía nam (đặc biệt là đối với nông nghiệp và cung cấp nước công cộng) và các tác động đặc thù theo ngành tại các vùng trung tâm và phía bắc (ví dụ, đối với lâm nghiệp hoặc sản xuất năng lượng). Quy trình được phát triển do đó đã đem lại cái nhìn mới và toàn diện hơn về tác động của hạn hán trên toàn châu Âu. Các nghiên cứu liên quan đã phát triển các kỹ thuật thống kê để đánh giá mối liên hệ giữa các chỉ số hạn hán và các tác động đã được phân loại sử dụng dữ liệu EDII. EDII là một cơ sở dữ liệu đang sống và là một nguồn hứa hẹn cho các nghiên cứu tiếp theo về tác động, tổn thương và rủi ro của hạn hán trên khắp châu Âu. Một kết quả quan trọng là sự đa dạng phong phú của các tác động được tìm thấy trên toàn châu Âu và sự ghi chép của nó. Sự hiểu biết này do đó có thể thông tin cho việc lập kế hoạch chính sách hạn hán ở cấp độ quốc gia đến quốc tế.",{"EN":1908,"VI":1909},"Impacts of European drought events: insights from an international database of text-based reports","Các ảnh hưởng của các sự kiện hạn hán tại châu Âu: cái nhìn từ một cơ sở dữ liệu quốc tế về các báo cáo dựa trên văn 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Sci., 13, 2679–2694, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fnhess-13-2679-2013, 2013.",{"doi":2376},"10.5194\u002Fnhess-13-2679-2013",{"id":24,"text":2378,"url":24,"identifiers":2379},"Hannaford, J., Lloyd-Hughes, B., Keef, C., Parry, S., and Prudhomme, C.:\nExamining the large-scale spatial coherence of European drought using\nregional indicators of precipitation and streamflow deficit, Hydrol.\nProcess., 25, 1146–1162, https:\u002F\u002Fdoi.org\u002F10.1002\u002Fhyp.7725, 2011.",{"doi":2380},"10.1002\u002Fhyp.7725",{"id":24,"text":2382,"url":24,"identifiers":2383},"Hayes, M., Svoboda, M., Wall, N., and Widhalm, M.: The Lincoln declaration on\ndrought indices: universal meteorological drought index recommended, B. Am.\nMeteorol. Soc., 92, 485–488, https:\u002F\u002Fdoi.org\u002F10.1175\u002F2010BAMS3103.1, 2011.",{"doi":2384},"10.1175\u002F2010BAMS3103.1",{"id":24,"text":2386,"url":24,"identifiers":2387},"Kallis, G.: Droughts, Ann. Rev. Environ. Resour., 33, 85–118, https:\u002F\u002Fdoi.org\u002F10.1146\u002Fannurev.environ.33.081307.123117, 2008.",{"doi":2388},"10.1146\u002Fannurev.environ.33.081307.123117",{"id":24,"text":2390,"url":24,"identifiers":2391},"Knight, C. G., Reav, I., and Staneva, M. P. (Eds.): Drought in Bulgaria: A\nContemporary Analog for Climate Change, Ashgate Publishing, Aldershot, 336 pp., 2004.",{},{"id":24,"text":2393,"url":24,"identifiers":2394},"Knutson, C. L., Hayes, M. J., and Philipps, T.: How to Reduce Drought Risk,\nWestern Drought Coordination Council, Preparedness and Mitigation Working\nGroup, Lincoln, 10 pp., available at: http:\u002F\u002Fdrought.unl.edu\u002Fportals\u002F0\u002Fdocs\u002Frisk.pdf\n(last access: 7 February 2016), 1998.",{},{"id":24,"text":2396,"url":24,"identifiers":2397},"Kossida, M., Kakava, A., Tekidou, A., and Mimikou, M.: Vulnerability to Water\nScarcity and Drought in Europe, ETC\u002FICM Technical Report 3\u002F2012, European\nTopic Centre on Inland, Coastal and Marine Waters (ETC\u002FICM), Prague, 102 pp.,\navailable at: http:\u002F\u002Ficm.eionet.europa.eu\u002FETC_Reports\u002FVulnerabilityToWaterScarcityAndDroughtInEurope\n(last access: 7 February 2016), 2012.",{},{"id":24,"text":2399,"url":24,"identifiers":2400},"Lackstrom, K., Brennan, A., Ferguson, D., Crimmins, M., Darby, L., Dow, K.,\nIngram, K., Meadow, A., Reges, H., Shafer, M., and Smith, K.: The Missing\nPiece: Drought Impacts Monitoring. 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J.,\nCRC Press, London, 165–170, https:\u002F\u002Fdoi.org\u002F10.1201\u002Fb18077-56, 2015.",{"doi":2335},{"id":24,"text":2416,"url":24,"identifiers":2417},"Sepulcre, G., Horion, S. M. A. F., Singleton, A., Carrao, H., and Vogt, J.:\nDevelopment of a Combined Drought Indicator to detect agricultural drought in\nEurope, Nat. Hazards Earth Syst. Sci., 12, 3519–3531, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fnhess-12-3519-2012, 2012.",{"doi":2418},"10.5194\u002Fnhess-12-3519-2012",{"id":24,"text":2420,"url":24,"identifiers":2421},"Smakhtin, V. U. and Schipper, E. L.: Droughts: The impact of semantics and\nperceptions, Water Policy, 10, 131–143, https:\u002F\u002Fdoi.org\u002F10.2166\u002Fwp.2008.036, 2008.",{"doi":2422},"10.2166\u002Fwp.2008.036",{"id":24,"text":2424,"url":24,"identifiers":2425},"Stagge, J. H., Tallaksen, L. M., Kohn, I., Stahl, K., and van Loon, A. F.: A\nEuropean Drought Reference (EDR) Database: design and Online Implementation,\nDROUGHT-R&SPI Technical Report No. 12, 42 pp., available at:\nhttp:\u002F\u002Fwww.eu-drought.org\u002Ftechnicalreports\u002F10832306\u002F (last access: 7 February 2016), 2013.",{},{"id":24,"text":2427,"url":24,"identifiers":2428},"Stagge, J. H., Kohn, I., Tallaksen, L. M., and Stahl, K.: Modeling drought\nimpact occurrence based on climatological drought indices for Europe,\nJ. Hydrol.,530, 37–50, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jhydrol.2015.09.039, 2015.",{"doi":2429},"10.1016\u002Fj.jhydrol.2015.09.039",{"id":24,"text":2431,"url":24,"identifiers":2432},"Stahl, K., Blauhut, V., Kohn, I., Acácio, V., Assimacopoulos, D.,\nBifulco, C., De Stefano, L., Dias, S., Eilertz, D., Frielingsdorf, B.,\nHegdahl, T. J., Kampragou, E., Kourentzis, V., Melsen, L., van Lanen, H. A.\nJ., Van Loon, A. F., Massarutto, A., Musolino, D., de Paoli, L., Senn, L.,\nStagge, J. H., Tallaksen, L. M., and Urquijo, J.: A European Drought Impact\nReport Inventory (EDII): Design and Test for Selected Recent Droughts in\nEurope, DROUGHT-R&SPI Technical Report No. 3, 23 pp., available at:\nhttp:\u002F\u002Fwww.eu-drought.org\u002Ftechnicalreports\u002F10814306\u002F (last access: 7 February 2016), 2012.",{},{"id":24,"text":2434,"url":24,"identifiers":2435},"Stahl K., Blauhut, V., Kohn, I., De Stefano, L., Dias, S., Urquijo, J.,\nTallaksen, L. M., Van Lanen, H. A. J., and Wolters, W.: Stakeholder views on drought\nimpacts and Drought Risk Maps at the Pan-European scale: results from the\n2nd Pan-European Drought Dialogue Forum, DROUGHT-R&SPI Technical Report\nNo. 17, available at: http:\u002F\u002Fwww.eu-drought.org\u002Ftechnicalreports\u002F10850944\u002F\n(last access: 7 February 2016), 2014.",{},{"id":24,"text":2437,"url":24,"identifiers":2438},"Stahl, K., Kohn, I., De Stefano, L., Tallaksen, L. M., Rego, F.C.,\nSeneviratne, S. I., Andreu, J., and van Lanen, H. A. J.: An impact\nperspective on pan-European drought sensitivity, in: Drought: Research and\nScience-Policy Interfacing, edited by: Andreu, J., Solera, A.,\nParedes-Arquiola, J., Haro-Monteagudo, D., and van Lanen, H. A. J.,\nCRC Press, London, 329–334, https:\u002F\u002Fdoi.org\u002F10.1201\u002Fb18077-56, 2015.",{"doi":2335},{"id":24,"text":2440,"url":24,"identifiers":2441},"Steinemann, A.: Drought Information for Improving Preparedness in the\nWestern States, B. Am. Meteorol. Soc., 95, 843–847, https:\u002F\u002Fdoi.org\u002F10.1175\u002FBAMS-D-13-00067.1, 2014.",{"doi":2442},"10.1175\u002FBAMS-D-13-00067.1",{"id":24,"text":2444,"url":24,"identifiers":2445},"Tallaksen, L. M. and Stahl, K.: Spatial and temporal patterns of large-scale\ndroughts in Europe: model dispersion and performance, Geophys. Res. Lett.,\n41, 429–434, https:\u002F\u002Fdoi.org\u002F10.1002\u002F2013GL058573, 2014.",{"doi":2446},"10.1002\u002F2013GL058573",{"id":24,"text":2448,"url":24,"identifiers":2449},"Tánago, I. G., Ballesteros, M., Urquijo, J., and De Stefano, L.:\nExploring situations of vulnerability to drought from a sectorial\nperspective: A starting point for regional assessments, in: Drought:\nResearch and Science-Policy Interfacing, edited by: Andreu, J., Solera, A.,\nParedes-Arquiola, J., Haro-Monteagudo, D., and van Lanen, H. A. J.,\nCRC Press, London, 341–348, https:\u002F\u002Fdoi.org\u002F10.1201\u002Fb18077-56, 2015.",{"doi":2335},{"id":24,"text":2451,"url":24,"identifiers":2452},"UN\u002FISDR: Drought Risk Reduction, Framework and Practices, Contributing to\nthe Implementation of the Hyogo Framework for Action, United Nations\nsecretariat of the International Strategy for Disaster Reduction (UNISDR),\nGeneva, 213 pp., 2009.",{},{"id":24,"text":2454,"url":24,"identifiers":2455},"Van Lanen, H. A. J., Tallaksen, L. M., Stahl, K., Assimacopoulos, D.,\nWolters, W., Andreu, J., Rego, F., Seneviratne, S. I., De Stefano, L.,\nMassarutto, A., Garnier, E., and Seidl, I.: Fostering Drought Research and\nScience-Policy Interfacing: Achievements of the DROUGHT-R&SPI project,\nin: Drought: Research and Science-Policy Interfacing, edited by: Andreu, J.,\nSolera, A., Paredes-Arquiola, J., Haro-Monteagudo, D., and van Lanen, H. A.\nJ., CRC Press, London, 3–12, https:\u002F\u002Fdoi.org\u002F10.1201\u002Fb18077-56, 2015.",{"doi":2335},{"id":24,"text":2457,"url":24,"identifiers":2458},"Van Loon, A. F. and Van Lanen, H. A. J.: A process-based typology of hydrological\ndrought, Hydrol. Earth Syst. Sci., 16, 1915–1946, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-16-1915-2012, 2012.",{"doi":2459},"10.5194\u002Fhess-16-1915-2012",{"id":24,"text":2461,"url":24,"identifiers":2462},"Van Loon, A. F., Ploum, S. W., Parajka, J., Fleig, A. K., Garnier, E.,\nLaaha, G. and Van Lanen, H. A. J.: Hydrological drought types in cold\nclimates: quantitative analysis of causing factors and qualitative survey of\nimpacts, Hydrol. Earth Syst. Sci., 19, 1993–2016, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fhess-19-1993-2015, 2015.",{"doi":2463},"10.5194\u002Fhess-19-1993-2015",{"id":24,"text":2465,"url":24,"identifiers":2466},"Wilhite, D. A.: Reducing societal vulnerability to drought, in: Drought: A\nGlobal Assessment II, edited by: Wilhite, D. A., Routledge, New York, London, 295–298, 2000.",{},{"id":24,"text":2468,"url":24,"identifiers":2469},"Wilhite, D. A. and Glantz, M. H.: Understanding the drought phenomenon: the\nrole of definitions, Water Int., 10, 111–120, https:\u002F\u002Fdoi.org\u002F10.1080\u002F02508068508686328, 1985.",{"doi":2470},"10.1080\u002F02508068508686328",{"id":24,"text":2472,"url":24,"identifiers":2473},"Wilhite, D. A. and Vanyarkho, O.: Pervasive impacts of a creeping\nphenomenon, in: Drought: A Global Assessment I, edited by: Wilhite, D. A.,\nRoutledge, New York, London, 245–255, 2000.",{},{"id":24,"text":2475,"url":24,"identifiers":2476},"Wilhite, D. A., Svoboda, M. D., and Hayes, M. J.: Understanding the complex\nimpacts of drought: A key to enhancing drought mitigation and preparedness,\nWater Resour. Manage., 21, 763–774, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11269-006-9076-5, 2007.",{"doi":2477},"10.1007\u002Fs11269-006-9076-5",{"id":2479,"createTime":2480,"updateTime":2481,"relativeEntities":2482,"slug":2483,"properties":2484,"entityType":109,"verifyStatus":110,"verifyTime":2480,"verifyNote":111,"languages":2496,"translateLanguages":2497,"viewCount":25,"primaryUrl":2498,"fullTextUrl":24,"authors":2499,"publicationType":179,"publisherRelationship":2573,"citationCount":2618,"citationInfo":2619,"publishDate":24,"publishYear":24,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":2627,"openAccess":24,"references":2628,"isForceReanalyzing":430},"5691754b-9c9e-4b0c-889d-17306887adec","2024-10-10T17:33:29.020+00:00","2025-02-21T07:44:16.028+00:00",[],"Meteotsunamis-atmospherically-induced-destructive-ocean-waves-in-the-tsunami-frequency-band",{"openalex":2485,"abstract":2487,"title":2490,"keywords":2493,"doi":2494},{"VOID":2486},"W4244516271",{"EN":2488,"VI":2489},"\u003Cjats:p>Abstract. In light of the recent enhanced activity in the study of tsunami waves and their source mechanisms, we consider tsunami-like waves that are induced by atmospheric processes rather than by seismic sources. These waves are mainly associated with atmospheric gravity waves, pressure jumps, frontal passages, squalls and other types of atmospheric disturbances, which normally generate barotropic ocean waves in the open ocean and amplify them near the coast through specific resonance mechanisms (Proudman, Greenspan, shelf, harbour). The main purpose of the present study is to describe this hazardous phenomenon, to show similarities and differences between seismic and meteorological tsunamis and to provide an overview of meteorological tsunamis in the World Ocean. It is shown that tsunamis and meteotsunamis have the same periods, same spatial scales, similar physical properties and affect the coast in a comparably destructive way. Some specific features of meteotsunamis make them akin to landslide-generated tsunamis. The generation efficiency of both phenomena depend on the Froude number (Fr), with resonance taking place when Fr~1.0. Meteotsunamis are much less energetic than seismic tsunamis and that is why they are always local, while seismic tsunamis can have globally destructive effects. Destructive meteotsunamis are always the result of a combination of several resonant factors; the low probability of such a combination is the main reason why major meteotsunamis are infrequent and observed only at some specific locations in the ocean.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Trong bối cảnh hoạt động nghiên cứu sóng thần và cơ chế nguồn của chúng gần đây được tăng cường, chúng tôi xem xét các sóng giống như sóng thần được kích thích bởi các quá trình khí quyển thay vì các nguồn phát sinh động đất. Những sóng này chủ yếu liên quan đến các sóng trọng lực khí quyển, những bước nhảy áp suất, sự qua mặt của mặt trận, cơn bão và các loại rối loạn khí quyển khác, thường tạo ra sóng đại dương barotropic ở đại dương mở và khuếch đại chúng gần bờ thông qua các cơ chế cộng hưởng đặc biệt (Proudman, Greenspan, kệ, cảng). Mục tiêu chính của nghiên cứu hiện tại là mô tả hiện tượng nguy hiểm này, chỉ ra sự tương đồng và khác biệt giữa sóng thần do động đất và sóng thần khí tượng, đồng thời cung cấp cái nhìn tổng quan về sóng thần khí tượng trong đại dương thế giới. Đã chỉ ra rằng sóng thần và sóng thần khí tượng có cùng chu kỳ, cùng quy mô không gian, các tính chất vật lý tương tự và ảnh hưởng tới bờ biển theo cách tàn phá tương tự. Một số đặc điểm cụ thể của sóng thần khí tượng làm cho chúng tương tự như sóng thần do sạt lở tạo ra. Hiệu suất tạo ra của cả hai hiện tượng phụ thuộc vào số Froude (Fr), với cộng hưởng xảy ra khi Fr~1.0. Sóng thần khí tượng ít năng lượng hơn nhiều so với sóng thần do động đất và đó là lý do tại sao chúng thường chỉ xảy ra tại địa phương, trong khi sóng thần do động đất có thể có tác động tàn phá toàn cầu. Sóng thần khí tượng tàn phá luôn là kết quả của sự kết hợp của nhiều yếu tố cộng hưởng; xác suất thấp của sự kết hợp như vậy là lý do chính khiến sóng thần khí tượng lớn hiếm khi xảy ra và chỉ được quan sát tại một số vị trí cụ thể trong đại dương.\n                    \u003C\u002Fjats:p>",{"EN":2491,"VI":2492},"Meteotsunamis: atmospherically induced destructive ocean waves in the tsunami frequency band","Meteotsunamis: Sóng đại dương gây ra bởi khí quyển có tính phá hoại trong dải tần số sóng thần",{"VI":1465},{"VOID":2495},"10.5194\u002Fnhess-6-1035-2006",[113],[1172],"https:\u002F\u002Fnhess.copernicus.org\u002Farticles\u002F6\u002F1035\u002F2006\u002F",[2500,2527,2546],{"id":2501,"sortIndex":25,"researcher":24,"roles":2502,"affiliations":2503,"properties":2520,"displayName":2524,"givenName":24,"familyName":24},"79e87299-907d-413e-a53b-a292d7737529",[],[2504,2512],{"id":2505,"sortIndex":25,"affiliation":2506,"properties":24},"8e76a115-4881-4e05-86e4-45e167d9c603",{"id":2505,"createTime":24,"updateTime":24,"relativeEntities":2507,"slug":24,"properties":2508,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2511,"statistic":24},[],{"title":2509},{"EN":2510},"Departament de Física, Universitat de les Illes Balears, Palma de Mallorca, Spain",[],{"id":2513,"sortIndex":139,"affiliation":2514,"properties":24},"026e7090-9d91-4e90-bc0f-5eaa74ac848e",{"id":2513,"createTime":24,"updateTime":24,"relativeEntities":2515,"slug":24,"properties":2516,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2519,"statistic":24},[],{"title":2517},{"EN":2518},"IMEDEA, UIB-CSIC, Palma de Mallorca, Spain",[],{"orcid":2521,"title":2523,"openalex":2525},{"VOID":2522},"https:\u002F\u002Forcid.org\u002F0000-0002-5965-4872",{"EN":2524},"S. 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Traditional flood design methods are increasingly supplemented or replaced by risk-oriented methods which are based on comprehensive risk analyses. Besides meteorological, hydrological and hydraulic investigations such analyses require the estimation of flood impacts. Flood impact assessments mainly focus on direct economic losses using damage functions which relate property damage to damage-causing factors. Although the flood damage of a building is influenced by many factors, usually only inundation depth and building use are considered as damage-causing factors. In this paper a data set of approximately 4000 damage records is analysed. Each record represents the direct monetary damage to an inundated building. The data set covers nine flood events in Germany from 1978 to 1994. It is shown that the damage data follow a Lognormal distribution with a large variability, even when stratified according to the building use and to water depth categories. Absolute depth-damage functions which relate the total damage to the water depth are not very helpful in explaining the variability of the damage data, because damage is determined by various parameters besides the water depth. Because of this limitation it has to be expected that flood damage assessments are associated with large uncertainties. It is shown that the uncertainty of damage estimates depends on the number of flooded buildings and on the distribution of building use within the flooded area. The results are exemplified by a damage assessment for a rural area in southwest Germany, for which damage estimates and uncertainty bounds are quantified for a 100-year flood event. The estimates are compared to reported flood damages of a severe flood in 1993. Given the enormous uncertainty of flood damage estimates the refinement of flood damage data collection and modelling are major issues for further empirical and methodological improvements.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Các phương pháp thiết kế lũ lụt truyền thống đang ngày càng được bổ sung hoặc thay thế bằng các phương pháp dựa trên rủi ro, vốn dựa trên các phân tích rủi ro toàn diện. Ngoài các cuộc điều tra khí tượng, thủy văn và thủy lực, các phân tích như vậy yêu cầu ước lượng thiệt hại do lũ lụt. Đánh giá thiệt hại do lũ lụt chủ yếu tập trung vào những tổn thất kinh tế trực tiếp bằng cách sử dụng các hàm thiệt hại liên kết thiệt hại tài sản với các yếu tố gây thiệt hại. Mặc dù thiệt hại do lũ lụt của một tòa nhà chịu ảnh hưởng bởi nhiều yếu tố, thông thường chỉ có độ sâu ngập lụt và mục đích sử dụng tòa nhà được coi là các yếu tố gây thiệt hại. Trong bài báo này, một tập dữ liệu gồm khoảng 4000 hồ sơ thiệt hại được phân tích. Mỗi hồ sơ đại diện cho thiệt hại tài chính trực tiếp của một tòa nhà bị ngập. Tập dữ liệu bao gồm chín sự kiện lũ lụt tại Đức từ năm 1978 đến 1994. Kết quả cho thấy dữ liệu thiệt hại tuân theo phân phối Lognormal với sự biến động lớn, ngay cả khi được phân tầng theo mục đích sử dụng tòa nhà và các loại độ sâu nước. Các hàm độ sâu-thiệt hại tuyệt đối liên kết tổng thiệt hại với độ sâu nước không hữu ích trong việc giải thích sự biến động của dữ liệu thiệt hại, vì thiệt hại được xác định bởi nhiều tham số khác bên cạnh độ sâu nước. Do hạn chế này, phải dự đoán rằng việc đánh giá thiệt hại do lũ lụt liên quan đến sự không chắc chắn lớn. Kết quả cho thấy sự không chắc chắn của ước lượng thiệt hại phụ thuộc vào số lượng tòa nhà bị ngập và vào sự phân bố mục đích sử dụng tòa nhà trong khu vực bị ngập. Các kết quả được minh họa bằng một đánh giá thiệt hại cho một khu vực nông thôn ở phía tây nam nước Đức, trong đó ước lượng thiệt hại và phạm vi không chắc chắn được định lượng cho một sự kiện lũ lụt diễn ra trong 100 năm. Các ước lượng này được so sánh với các thiệt hại do lũ lụt được báo cáo trong một trận lũ nghiêm trọng vào năm 1993. Với sự không chắc chắn khổng lồ của các ước lượng về thiệt hại do lũ lụt, việc cải thiện thu thập và mô hình hóa dữ liệu thiệt hại do lũ lụt là những vấn đề chính để cải thiện thêm về thực nghiệm và phương pháp luận.\u003C\u002Fjats:p>",{"EN":2814,"VI":2815},"Estimation uncertainty of direct monetary flood damage to buildings","Sự không chắc chắn trong ước lượng thiệt hại tài chính do lũ lụt trực tiếp đến các công trình xây dựng",{"VI":1465},{"VOID":2818},"10.5194\u002Fnhess-4-153-2004","2024-09-04T23:36:27.132+00:00",[113],[1172],"https:\u002F\u002Fnhess.copernicus.org\u002Farticles\u002F4\u002F153\u002F2004\u002F",[2824,2843,2860,2877],{"id":2825,"sortIndex":25,"researcher":24,"roles":2826,"affiliations":2827,"properties":2836,"displayName":2840,"givenName":24,"familyName":24},"89dc5c88-c15a-4e7f-b0c8-2a296e33c64c",[],[2828],{"id":2829,"sortIndex":25,"affiliation":2830,"properties":24},"2f517ec5-7a41-496f-9ead-334f2ad3e076",{"id":2829,"createTime":24,"updateTime":24,"relativeEntities":2831,"slug":24,"properties":2832,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2835,"statistic":24},[],{"title":2833},{"EN":2834},"GFZ - German Research Centre for Geosciences - Helmholtz-Centre Potsdam (Telegrafenberg, 14473 Potsdam - Germany)",[],{"orcid":2837,"title":2839,"openalex":2841},{"VOID":2838},"https:\u002F\u002Forcid.org\u002F0000-0002-5992-1440",{"EN":2840},"Bruno Merz",{"VOID":2842},"A5045067771",{"id":2844,"sortIndex":139,"researcher":24,"roles":2845,"affiliations":2846,"properties":2853,"displayName":2857,"givenName":24,"familyName":24},"750fec3d-d864-4d0b-8cac-0a9216632390",[],[2847],{"id":2829,"sortIndex":25,"affiliation":2848,"properties":24},{"id":2829,"createTime":24,"updateTime":24,"relativeEntities":2849,"slug":24,"properties":2850,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2852,"statistic":24},[],{"title":2851},{"EN":2834},[],{"orcid":2854,"title":2856,"openalex":2858},{"VOID":2855},"https:\u002F\u002Forcid.org\u002F0000-0001-6274-3625",{"EN":2857},"Heidi Kreibich",{"VOID":2859},"A5006100138",{"id":2861,"sortIndex":159,"researcher":24,"roles":2862,"affiliations":2863,"properties":2870,"displayName":2874,"givenName":24,"familyName":24},"f7c2f158-31be-413a-9731-46241edecfc5",[],[2864],{"id":2829,"sortIndex":25,"affiliation":2865,"properties":24},{"id":2829,"createTime":24,"updateTime":24,"relativeEntities":2866,"slug":24,"properties":2867,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2869,"statistic":24},[],{"title":2868},{"EN":2834},[],{"orcid":2871,"title":2873,"openalex":2875},{"VOID":2872},"https:\u002F\u002Forcid.org\u002F0000-0001-7068-2615",{"EN":2874},"Annegret H. 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Social vulnerability indices are a means for generating information about people potentially affected by disasters that are e.g. triggered by river-floods. The purpose behind such an index is in this study the development and the validation of a social vulnerability map of population characteristics towards river-floods covering all counties in Germany. This map is based on a composite index of three main indicators for social vulnerability in Germany – fragility, socio-economic conditions and region. These indicators have been identified by a factor analysis of selected demographic variables obtained from federal statistical offices. Therefore, these indicators can be updated annually based on a reliable data source. The vulnerability patterns detected by the factor analysis are verified by using an independent second data set. The interpretation of the second data set shows that vulnerability is revealed by a real extreme flood event and demonstrates that the patterns of the presumed vulnerability match the observations of a real event. It comprises a survey of flood-affected households in three federal states. By using logistic regression, it is demonstrated that the theoretically presumed indications of vulnerability are correct and that the indicators are valid. It is shown that indeed certain social groups like the elderly, the financially weak or the urban residents are higher risk groups.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Các chỉ số dễ tổn thương xã hội là một phương tiện để tạo ra thông tin về những người có khả năng bị ảnh hưởng bởi các thảm họa do lũ lụt từ sông gây ra. Mục đích của chỉ số này trong nghiên cứu này là phát triển và xác thực bản đồ dễ tổn thương xã hội về các đặc điểm của dân số đối với lũ lụt từ sông, bao gồm tất cả các huyện ở Đức. Bản đồ này dựa trên một chỉ số tổng hợp của ba chỉ số chính cho dễ tổn thương xã hội ở Đức – sự dễ bị tổn thương, tình trạng kinh tế xã hội và khu vực. Các chỉ số này đã được xác định thông qua phân tích nhân tố các biến nhân khẩu học được chọn từ các cơ quan thống kê liên bang. Do đó, các chỉ số này có thể được cập nhật hàng năm dựa trên một nguồn dữ liệu đáng tin cậy. Các mẫu dễ tổn thương được phát hiện qua phân tích nhân tố được xác nhận thông qua việc sử dụng một tập dữ liệu thứ hai độc lập. Việc diễn giải tập dữ liệu thứ hai cho thấy rằng dễ tổn thương được thể hiện qua một sự kiện lũ lụt cực đoan thực tế và chứng minh rằng các mẫu của dễ tổn thương giả định khớp với những quan sát của một sự kiện thực tế. Nó bao gồm một cuộc khảo sát các hộ gia đình bị ảnh hưởng bởi lũ lụt ở ba bang liên bang. Bằng cách sử dụng hồi quy logistic, nghiên cứu đã chứng minh rằng các chỉ số dễ tổn thương lý thuyết được giả định là đúng và các chỉ số là hợp lệ. Đúng là một số nhóm xã hội nhất định như người cao tuổi, những người có thu nhập thấp hoặc cư dân thành phố là những nhóm có nguy cơ cao hơn.\n                    \u003C\u002Fjats:p>",{"EN":2963,"VI":2964},"Validation of a social vulnerability index in context to river-floods in Germany","Xác thực chỉ số dễ tổn thương xã hội trong bối cảnh lũ lụt ở 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