Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran
Tóm tắt
Từ khóa
Tài liệu tham khảo
Abbaspour, 2009, Assessing the impact of climate change on water resources in Iran, Water Resour. Res., 45, 10.1029/2008WR007615
Adjei, 2015, Application of satellite-derived rainfall for hydrological modelling in the data-scarce Black Volta trans-boundary basin, Hydrol. Res., 46, 777, 10.2166/nh.2014.111
Alijanian, 2019, Evaluation of remotely sensed precipitation estimates using PERSIANN-CDR and MSWEP for spatio-temporal drought assessment over Iran, J. Hydrol., 579, 14, 10.1016/j.jhydrol.2019.124189
Alijanian, 2017, Evaluation of satellite rainfall climatology using CMORPH, PERSIANN-CDR, PERSIANN, TRMM, MSWEP over Iran, Int. J. Climatol., 37, 4896, 10.1002/joc.5131
Ashraf, 2018, Compounding effects of human activities and climatic changes on surface water availability in Iran, Clim. Change
Aslami, 2019, Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil Province, Iran, Int. J. Remote Sens., 40, 3139, 10.1080/01431161.2018.1539274
Auerbach, 2016, Evaluating weather observations and the Climate Forecast System Reanalysis as inputs for hydrologic modelling in the tropics, Hydrol. Process., 30, 3466, 10.1002/hyp.10860
Beck, 2017, Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling, Hydrol. Earth Syst. Sci., 21, 6201, 10.5194/hess-21-6201-2017
Brocca, 2019, SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture, Earth Syst. Sci. Data Discuss., 2019, 1
Camici, 2020, Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe, Hydrol. Earth Syst. Sci., 24, 4869, 10.5194/hess-24-4869-2020
Chen, 2021, Applicability of two satellite-based precipitation products for assessing rainfall erosivity in China, Sci. Total Environ., 757, 10.1016/j.scitotenv.2020.143975
Chiaravalloti, 2018, Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy, Atmos. Res., 206, 64, 10.1016/j.atmosres.2018.02.019
Ciabatta, 2016, Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy, Int. J. Appl. Earth Obs. Geoinf., 48, 163, 10.1016/j.jag.2015.10.004
Ciabatta, 2018, SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture, Earth Syst. Sci. Data, 10, 267, 10.5194/essd-10-267-2018
Crow, 2011, Correcting rainfall using satellite‐based surface soil moisture retrievals: the Soil Moisture Analysis Rainfall Tool (SMART), Water Resour. Res., 47, 10.1029/2011WR010576
Darand, 2017, Evaluation of the performance of TRMM Multi-satellite Precipitation Analysis (TMPA) estimation over Iran, Atmos. Res., 190, 121, 10.1016/j.atmosres.2017.02.011
Darand, 2014, Regionalization of precipitation regimes in Iran using principal component analysis and hierarchical clustering analysis, Environ. Process., 1, 517, 10.1007/s40710-014-0039-1
Darand, 2020, Statistical evaluation of gridded precipitation datasets using rain gauge observations over Iran, J. Arid Environ., 178, 22, 10.1016/j.jaridenv.2020.104172
Darand, 2021, An evaluation of Global Satellite Mapping of Precipitation (GSMaP) datasets over Iran, Meteorol. Atmos. Phys., 133, 911, 10.1007/s00703-021-00789-y
Darand, 2016, Evaluation of the accuracy of the Global Precipitation Climatology Center (GPCC) data over Iran, Iranian J. Geophys., 10, 95
Darand, 2015, The comparison between global and regional precipitation data base with Iran Asfezari and Station data base, Geogr. Res., 30, 65
de Almeida Bressiani, 2015, Effects of spatial and temporal weather data resolutions on streamflow modeling of a semi-arid basin, Northeast Brazil, Int. J. Agric. Biol. Eng., 8, 125
Dezfooli, 2018, A comparison between high-resolution satellite precipitation estimates and gauge measured data: case study of Gorganrood basin, Iran, J. Water Supply Res. Technol.-Aqua, 67, 236, 10.2166/aqua.2018.062
Duan, 2013, First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling–calibration procedure, Remote Sens. Environ., 131, 1, 10.1016/j.rse.2012.12.002
Duan, 2016, Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales, Sci. Total Environ., 573, 1536, 10.1016/j.scitotenv.2016.08.213
Eini, 2018, Evaluating the performance of CRU and NCEP CFSR global reanalysis climate datasets in hydrological simulation by SWAT model (Case study: Maharlu Basin), Water Resour. Res., 14, 32
Eini, 2018, Assessment of Asfezari national database precipitation data in runoff evaluating and monitoring regional drought, Iranian J. EcoHydrol., 5, 95
Eini, 2018, Accuracy of PERSIANN-CDR precipitation satellite database in simulation assessment of runoff in SWAT model on Maharlu Basin, Geogr. Res., 50, 563
Eini, 2019, High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin, Ecol. Eng., 131, 107, 10.1016/j.ecoleng.2019.03.005
Fallah, 2020, Evaluation of precipitation datasets against local observations in southwestern Iran, Int. J. Climatol., 40, 4102, 10.1002/joc.6445
Fereidoon, 2019, Predicting rainfall and runoff through satellite soil moisture data and SWAT modelling for a poorly gauged basin in Iran, Water, 11, 18, 10.3390/w11030594
Ferreira, 2014, Estimating water storage changes and sink terms in Volta Basin from satellite missions, Water Sci. Eng., 7, 5
Fu, 2016, Assessment of multiple precipitation products over major river basins of China, Theor. Appl. Climatol., 123, 11, 10.1007/s00704-014-1339-0
Ghajarnia, 2018, Error analysis on PERSIANN precipitation estimations: case study of Urmia Lake Basin, Iran, J. Hydrol. Eng., 23, 13, 10.1061/(ASCE)HE.1943-5584.0001643
Ghozat, 2021, Long-term spatiotemporal evaluation of CHIRPS satellite precipitation product over different climatic regions of Iran, Theor. Appl. Climatol., 143, 211, 10.1007/s00704-020-03428-5
Grusson, 2017, Testing the SWAT model with gridded weather data of different spatial resolutions, Water, 9, 54, 10.3390/w9010054
Gupta, 2020, An assessment of global satellite-based precipitation datasets in capturing precipitation extremes: a comparison with observed precipitation dataset in India, Int. J. Climatol., 40, 3667, 10.1002/joc.6419
Haile, 2015, Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in Eastern Africa, Atmos. Res., 163, 177, 10.1016/j.atmosres.2014.11.011
Hong, 2004, Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system, J. Appl. Meteorol., 43, 1834, 10.1175/JAM2173.1
Hosseini-Moghari, 2018, Spatio-temporal evaluation of global gridded precipitation datasets across Iran, Hydrol. Sci. J.-J. Des Sci. Hydrol., 63, 1669, 10.1080/02626667.2018.1524986
Hosseini-Moghari, 2020, Validation of GPM IMERG V05 and V06 precipitation products over Iran, J. Hydrometeorol., 21, 1011, 10.1175/JHM-D-19-0269.1
Jafari, 2020, Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran, Nat. Hazard., 102, 1249, 10.1007/s11069-020-03965-2
Jajarmizadeh, 2016, Prediction of surface flow by forcing of climate forecast system reanalysis data, Water Resour. Manag., 30, 2627, 10.1007/s11269-016-1303-0
Jalilvand, 2019, Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region, Remote Sens. Environ., 231, 10.1016/j.rse.2019.111226
Jiang, 2016, Evaluation of latest TMPA and CMORPH satellite precipitation products over Yellow River Basin, Water Sci. Eng., 9, 87, 10.1016/j.wse.2016.06.002
Katiraie-Boroujerdy, 2013, Evaluation of satellite-based precipitation estimation over Iran, J. Arid Environ., 97, 205, 10.1016/j.jaridenv.2013.05.013
Katiraie-Boroujerdy, 2020, Bias correction of satellite-based precipitation estimations using quantile mapping approach in different climate regions of Iran, Remote Sens., 12, 20, 10.3390/rs12132102
Khan, 2014, Evaluation of three high-resolution satellite precipitation estimates: potential for monsoon monitoring over Pakistan, Adv. Space Res., 54, 670, 10.1016/j.asr.2014.04.017
Khazaei, 2019, Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy, J. Hydrol., 569, 203, 10.1016/j.jhydrol.2018.12.004
Khoshchehreh, 2020, Hydrological evaluation of global gridded precipitation datasets in a heterogeneous and data-scarce basin in Iran, J. Earth Syst. Sci., 129, 15, 10.1007/s12040-020-01462-5
Kiany, 2020, Evaluation of the TRMM 3B42 product for extreme precipitation analysis over southwestern Iran, Adv. Space Res., 66, 2094, 10.1016/j.asr.2020.07.036
Koohi, 2021, Spatiotemporal drought monitoring using bottom-up precipitation dataset (SM2RAIN-ASCAT) over different regions of Iran, Sci. Total Environ., 779, 18, 10.1016/j.scitotenv.2021.146535
Li, 2015, Multiscale hydrologic applications of the latest satellite precipitation products in the Yangtze River Basin using a distributed hydrologic model, J. Hydrometeorol., 16, 407, 10.1175/JHM-D-14-0105.1
Ma, 2021, Performance evaluation and correction of precipitation data using the 20-year IMERG and TMPA precipitation products in diverse subregions of China, Atmos. Res., 249, 10.1016/j.atmosres.2020.105304
Maghsood, 2020, Ground validation of GPM IMERG precipitation products over Iran, Remote Sens., 12, 23
Mahbod, 2019, An evaluative study of TRMM precipitation estimates over multi-day scales in a semi-arid region, Iran, Int. J. Remote Sens., 40, 4143, 10.1080/01431161.2018.1562258
Masoodian, 2006, Identifying the rainfall regimes of Iran by cluster analysis, Geogr. Res., 52, 47
Mazzoleni, 2019, Evaluating precipitation datasets for large-scale distributed hydrological modelling, J. Hydrol., 578, 16, 10.1016/j.jhydrol.2019.124076
McCuen, 2006, Evaluation of the Nash-Sutcliffe efficiency index, J. Hydrol. Eng., 11, 597, 10.1061/(ASCE)1084-0699(2006)11:6(597)
Mesgaran, M., Madani, K., Hashemi, H. & Azadi, P., 2016, Evaluation of land and precipitation for agriculture in Iran. Stanford Iran 2040 Project, 2), pp.
Milewski, 2015, Assessment and comparison of TMPA satellite precipitation products in varying climatic and topographic regimes in Morocco, Remote Sens., 7, 5697, 10.3390/rs70505697
Miri, 2019, Performance evaluation of three satellites-based precipitation data sets over Iran, J. Indian Soc. Remote Sens., 47, 2073, 10.1007/s12524-019-01053-y
Moazami, 2013, Comparison of PERSIANN and V7 TRMM multi-satellite precipitation analysis (TMPA) products with rain gauge data over Iran, Int. J. Remote Sens., 34, 8156, 10.1080/01431161.2013.833360
Mosaffa, 2020, Post and near real-time satellite precipitation products skill over Karkheh River Basin in Iran, Int. J. Remote Sens., 41, 6484, 10.1080/01431161.2020.1739352
Muhammad, 2020, Satellite precipitation product: applicability and accuracy evaluation in diverse region, Sci. China-Technol. Sci., 63, 819, 10.1007/s11431-019-1457-3
Nguyen, 2018, The PERSIANN family of global satellite precipitation data: a review and evaluation of products, Hydrol. Earth Syst. Sci., 22, 5801, 10.5194/hess-22-5801-2018
Pellarin, 2013, A simple and effective method for correcting soil moisture and precipitation estimates using AMSR-E measurements, Remote Sens. Environ., 136, 28, 10.1016/j.rse.2013.04.011
Prakash, 2019, Performance assessment of CHIRPS, MSWEP, SM2RAIN-CCI, and TMPA precipitation products across India, J. Hydrol., 571, 50, 10.1016/j.jhydrol.2019.01.036
Rahman, 2019, Performance assessment of SM2RAIN-CCI and SM2RAIN-ASCAT precipitation products over Pakistan, Remote Sens., 11, 2040, 10.3390/rs11172040
Salmani-Dehaghi, 2019, Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran, Theor. Appl. Climatol., 138, 1333, 10.1007/s00704-019-02872-2
Satge, 2020, Reliability ofSM2RAINprecipitation datasets in comparison to gauge observations and hydrological modelling over arid regions, Int. J. Climatol., 20
Shayeghi, 2020, Reliability of reanalysis and remotely sensed precipitation products for hydrological simulation over the Sefidrood River Basin, Iran, Hydrol. Sci. J.-J. Des Sci. Hydrol., 65, 296, 10.1080/02626667.2019.1691217
Shirmohammadi-Aliakbarkhani, 2020, Ground validation of diurnal TRMM 3B42 V7 and GPM precipitation products over the northeast of Iran, Theor. Appl. Climatol., 142, 1413, 10.1007/s00704-020-03392-0
Sidike, 2016, Investigating alternative climate data sources for hydrological simulations in the upstream of the Amu Darya River, Water, 8, 441, 10.3390/w8100441
Taghizadeh, 2021, Evaluation of satellite/reanalysis precipitation products over Iran, Int. J. Remote Sens., 42, 3474, 10.1080/01431161.2021.1875508
Tramblay, 2019, The SAFRAN daily gridded precipitation product in Tunisia (1979–2015), Int. J. Climatol., 39, 5830, 10.1002/joc.6181
Yan-cong, 2014, Accuracy evaluation of the TRMM satellite-based precipitation data over the mid-high latitudes, Yingyong Shengtai Xuebao, 25
