{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T21:37:22Z","timestamp":1780349842592,"version":"3.54.1"},"reference-count":87,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T00:00:00Z","timestamp":1672444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071374"],"award-info":[{"award-number":["42071374"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42293270"],"award-info":[{"award-number":["42293270"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41930647"],"award-info":[{"award-number":["41930647"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["XDA20030203"],"award-info":[{"award-number":["XDA20030203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Strategic Priority Research Program (A) of the Chinese Academy of Sciences","award":["42071374"],"award-info":[{"award-number":["42071374"]}]},{"name":"Strategic Priority Research Program (A) of the Chinese Academy of Sciences","award":["42293270"],"award-info":[{"award-number":["42293270"]}]},{"name":"Strategic Priority Research Program (A) of the Chinese Academy of Sciences","award":["41930647"],"award-info":[{"award-number":["41930647"]}]},{"name":"Strategic Priority Research Program (A) of the Chinese Academy of Sciences","award":["XDA20030203"],"award-info":[{"award-number":["XDA20030203"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Satellite-based and reanalysis precipitation products have experienced increasing popularity in agricultural, hydrological and meteorological applications, but their accuracy is still uncertain in different areas. In this study, six frequently used high-resolution daily precipitation products, including Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), Global Satellite Mapping of Precipitation (GSMaP), Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG), Multi-Source Weighted-Ensemble Precipitation (MSWEP), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) and European Center for Medium-Range Weather Forecasts Reanalysis V5-Land (ERA5-Land), were comprehensively evaluated and compared in nine regions of mainland China between 2015 and 2019. The results reveal that, in general, GSMaP is the best precipitation product in different agricultural regions, especially based on the Pearson correlation coefficient (CC) and critical success index (CSI). ERA5-Land and MSWEP tend to have the highest probability of detection (POD) values, and MSWEP tends to have the smallest relative root mean squared error (RRMSE) values. GSMaP performs better at almost all precipitation levels and in most agricultural regions in each season, while MSWEP has the best performance for capturing the time series of mean daily precipitation. In addition, all precipitation products perform better in summer and worse in winter, and they are more accurate in the eastern region. The findings of this study will contribute to understanding the uncertainties of precipitation products, improving product quality and guiding product selection.<\/jats:p>","DOI":"10.3390\/rs15010223","type":"journal-article","created":{"date-parts":[[2023,1,2]],"date-time":"2023-01-02T02:44:03Z","timestamp":1672627443000},"page":"223","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Evaluation and Comparison of Six High-Resolution Daily Precipitation Products in Mainland China"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5438-0510","authenticated-orcid":false,"given":"Xiaoran","family":"Wu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4434-1726","authenticated-orcid":false,"given":"Na","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"108572","DOI":"10.1016\/j.foodcont.2021.108572","article-title":"Distribution of mycotoxin-producing fungi across major rice production areas of China","volume":"134","author":"Qi","year":"2022","journal-title":"Food Control"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.jhydrol.2018.02.055","article-title":"A multi-objective approach to improve SWAT model calibration in alpine catchments","volume":"559","author":"Tuo","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"150632","DOI":"10.1016\/j.scitotenv.2021.150632","article-title":"Factors shaping soil organic carbon stocks in grass covered orchards across China: A meta-analysis","volume":"807","author":"Xiang","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1007\/s11431-015-5799-y","article-title":"Representation of global precipitation anomalies using four major climate patterns","volume":"58","author":"Chen","year":"2015","journal-title":"Sci. China Technol. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"124664","DOI":"10.1016\/j.jhydrol.2020.124664","article-title":"A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China","volume":"584","author":"Wu","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1002\/2015GL066615","article-title":"How much does it rain over land?","volume":"43","author":"Herold","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1002\/joc.4706","article-title":"Impacts of uncertainties in European gridded precipitation observations on regional climate analysis","volume":"37","author":"Prein","year":"2017","journal-title":"Int. J. Climatol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4347","DOI":"10.1175\/JCLI-D-17-0212.1","article-title":"Evaluation of Spatial and Temporal Performances of ERA-Interim Precipitation and Temperature in Mainland China","volume":"31","author":"Liu","year":"2018","journal-title":"J. Climate"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"104954","DOI":"10.1016\/j.atmosres.2020.104954","article-title":"Spatiotemporal variability of the precipitation concentration and diversity in Central Asia","volume":"241","author":"Yang","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"105772","DOI":"10.1016\/j.atmosres.2021.105772","article-title":"Evaluation of spatial-temporal distribution of precipitation in mainland China by statistic and clustering methods","volume":"262","author":"Jin","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1175\/JCLI-D-19-0332.1","article-title":"Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments","volume":"33","author":"Beck","year":"2020","journal-title":"J. Climate"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1002\/joc.1251","article-title":"Temperature and precipitation variability in Italy in the last two centuries from homogenised instrumental time series","volume":"26","author":"Brunetti","year":"2006","journal-title":"Int. J. Climatol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.atmosres.2016.11.006","article-title":"Evaluating satellite-derived long-term historical precipitation datasets for drought monitoring in Chile","volume":"186","author":"Zambrano","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"11175","DOI":"10.1029\/2019JD030855","article-title":"Assessment of Water Cycle Intensification Over Land using a Multisource Global Gridded Precipitation DataSet","volume":"124","author":"Markonis","year":"2019","journal-title":"J. Geophys. Res. D Atmos."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"150066","DOI":"10.1038\/sdata.2015.66","article-title":"The climate hazards infrared precipitation with stations-a new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"key":"ref_16","unstructured":"Okamoto, K., Ushio, T., Iguchi, T., Takahashi, N., and Iwanami, K. (2005, January 29). The global satellite mapping of precipitation (GSMaP) project. Proceedings of the 25th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2005), Seoul, Republic of Korea."},{"key":"ref_17","unstructured":"Huffman, G.J., Bolvin, D.T., Braithwaite, D., Hsu, K., Joyce, R., Xie, P., and Yoo, S.-H. (2015). NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD) Version 06."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1175\/BAMS-D-17-0138.1","article-title":"MSWEP V2 Global 3-Hourly 0.1 degrees Precipitation: Methodology and Quantitative Assessment","volume":"100","author":"Beck","year":"2019","journal-title":"Bull. Amer. Meteor. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1038\/s41597-021-00940-9","article-title":"PERSIANN-CCS-CDR, a 3-hourly 0.04\u00b0 global precipitation climate data record for heavy precipitation studies","volume":"8","author":"Sadeghi","year":"2021","journal-title":"Sci. Data"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4349","DOI":"10.5194\/essd-13-4349-2021","article-title":"ERA5-Land: A state-of-the-art global reanalysis dataset for land applications","volume":"13","author":"Dutra","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"995","DOI":"10.5194\/nhess-21-995-2021","article-title":"Drought impact in the Bolivian Altiplano agriculture associated with the El Nino-Southern Oscillation using satellite imagery data","volume":"21","author":"Pflug","year":"2021","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"7422","DOI":"10.1038\/s41598-022-11228-2","article-title":"Persistence versus dynamical seasonal forecasts of cereal crop yields","volume":"12","author":"Bento","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1007\/s00704-021-03790-y","article-title":"Validation of the CHIRPS and CPC-Unified Products for Estimating Extreme Daily Precipitation Over Southwestern Iran","volume":"146","author":"Ghaedamini","year":"2021","journal-title":"Theor. Appl. Climatol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.jhydrol.2018.10.072","article-title":"Drought monitoring utility of satellite-based precipitation products across mainland China","volume":"568","author":"Zhong","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"103171","DOI":"10.1016\/j.earscirev.2020.103171","article-title":"Meteorological aspects of heavy precipitation in relation to floods\u2014An overview","volume":"204","author":"Breugem","year":"2020","journal-title":"Earth Sci. Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1175\/JHM-D-19-0226.1","article-title":"Spatial Bias in Medium-Range Forecasts of Heavy Precipitation in the Sacramento River Basin: Implications for Water Management","volume":"21","author":"Brodeur","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2906","DOI":"10.1080\/01431161.2018.1433890","article-title":"Statistical comparison of satellite-retrieved precipitation products with rain gauge observations over Bangladesh","volume":"39","author":"Islam","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3139","DOI":"10.1080\/01431161.2018.1539274","article-title":"Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil Province, Iran","volume":"40","author":"Aslami","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"125474","DOI":"10.1016\/j.jhydrol.2020.125474","article-title":"Assessment and comparison of five satellite precipitation products in Australia","volume":"590","author":"Islam","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Lu, D., and Yong, B. (2020). A Preliminary Assessment of the Gauge-Adjusted Near-Real-Time GSMaP Precipitation Estimate over Mainland China. Remote Sens., 12.","DOI":"10.3390\/rs12010141"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2461","DOI":"10.1029\/2019EA000977","article-title":"The Assessment and Comparison of TMPA and IMERG Products Over the Major Basins of Mainland China","volume":"6","author":"Su","year":"2019","journal-title":"Earth Space Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"105813","DOI":"10.1016\/j.atmosres.2021.105813","article-title":"Evaluation of seventeen satellite-, reanalysis-, and gauge-based precipitation products for drought monitoring across mainland China","volume":"263","author":"Wei","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"107875","DOI":"10.1016\/j.agrformet.2019.107875","article-title":"Comparison of satellite remote sensing derived precipitation estimates and observed data in Kenya","volume":"284","author":"Macharia","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1536","DOI":"10.1016\/j.scitotenv.2016.08.213","article-title":"Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales","volume":"573","author":"Duan","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1175\/2009JHM1190.1","article-title":"Evaluation of GSMaP Precipitation Estimates over the Contiguous United States","volume":"11","author":"Tian","year":"2010","journal-title":"J. Hydrometeorol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"104634","DOI":"10.1016\/j.atmosres.2019.104634","article-title":"Evaluation and comparison of CHIRPS and MSWEP daily-precipitation products in the Qinghai-Tibet Plateau during the period of 1981\u20132015","volume":"230","author":"Liu","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2223","DOI":"10.1175\/JCLI-D-19-0693.1","article-title":"Trends in Landfalling Tropical Cyclone-Induced Precipitation over China","volume":"33","author":"Liu","year":"2020","journal-title":"J. Climate"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"9399","DOI":"10.1175\/JCLI-D-17-0045.1","article-title":"Changes in the Spatial Heterogeneity and Annual Distribution of Observed Precipitation across China","volume":"30","author":"Sun","year":"2017","journal-title":"J. Climate"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10584-013-0785-5","article-title":"Climate change trend in China, with improved accuracy","volume":"120","author":"Yue","year":"2013","journal-title":"Clim. Change"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"5693","DOI":"10.1038\/srep05693","article-title":"Regional precipitation variability in East Asia related to climate and environmental factors during 1979\u20132012","volume":"4","author":"Deng","year":"2014","journal-title":"Sci. Rep."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Su, J., Lu, H., Zhu, Y., Wang, X., and Wei, G. (2018). Component Analysis of Errors in Four GPM-Based Precipitation Estimations over Mainland China. Remote Sens., 10.","DOI":"10.3390\/rs10091420"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"105728","DOI":"10.1016\/j.agwat.2019.105728","article-title":"An investigation of seasonal precipitation patterns for rainfed agriculture in the Southeastern region of the United States","volume":"223","author":"Sohoulande","year":"2019","journal-title":"Agric. Water Manag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"119594","DOI":"10.1016\/j.foreco.2021.119594","article-title":"Quantitative assessment of the impact of climatic factors on phenological changes in the Qilian Mountains, China","volume":"499","author":"Sun","year":"2021","journal-title":"For. Ecol. Manag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.agrformet.2014.01.004","article-title":"Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai-Tibetan Plateau from 1982 to 2011","volume":"189","author":"Che","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"23864","DOI":"10.1038\/s41598-021-03240-9","article-title":"Spatiotemporal variations of agricultural water footprint and its economic benefits in Xinjiang, northwestern China","volume":"11","author":"Li","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"102667","DOI":"10.1016\/j.apgeog.2022.102667","article-title":"Effects of climate change on paddy expansion and potential adaption strategies for sustainable agriculture development across Northeast China","volume":"141","author":"Liu","year":"2022","journal-title":"Appl. Geogr."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2313","DOI":"10.1007\/s00382-020-05379-z","article-title":"Climate factors during key periods affect the comprehensive crop losses due to drought in Southern China","volume":"55","author":"Zhang","year":"2020","journal-title":"Clim. Dyn."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2676","DOI":"10.1007\/s11430-014-4889-1","article-title":"Climate change regionalization in China (1961-2010)","volume":"57","author":"Shi","year":"2014","journal-title":"Sci. China Earth Sci."},{"key":"ref_49","unstructured":"Zheng, D. (2008). Ecogeographical Regionalization Research of China, The Commercial Press."},{"key":"ref_50","unstructured":"Zhou, L., Sun, H., and Shen, Y. (1981). China\u2019s Comprehensive Agricultural Regionalization, China Agriculture Press."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2691","DOI":"10.1175\/JHM-D-20-0045.1","article-title":"Evaluation of High-Resolution Precipitation Products over Southwest China","volume":"21","author":"Nie","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1109\/TGRS.2007.895337","article-title":"Global precipitation map using satellite-borne microwave radiometers by the GSMaP project: Production and validation","volume":"45","author":"Kubota","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1928","DOI":"10.1109\/TGRS.2018.2870199","article-title":"Gauge-Adjusted Global Satellite Mapping of Precipitation","volume":"57","author":"Mega","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1175\/JHM583.1","article-title":"A Gauge-based analysis of daily precipitation over East Asia","volume":"8","author":"Xie","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1175\/BAMS-D-13-00164.1","article-title":"The Global Precipitation Measurement Mission","volume":"95","author":"Hou","year":"2014","journal-title":"Bull. Amer. Meteor. Soc."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"105341","DOI":"10.1016\/j.atmosres.2020.105341","article-title":"Evaluation of GPM-IMERG and TRMM-3B42 precipitation products over Pakistan","volume":"249","author":"Arshad","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.atmosres.2017.11.006","article-title":"Comparison of GPM IMERG, TMPA 3B42 and PERSIANN-CDR satellite precipitation products over Malaysia","volume":"202","author":"Santo","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"589","DOI":"10.5194\/hess-21-589-2017","article-title":"MSWEP: 3-hourly 0.25 degrees global gridded precipitation (1979\u20132015) by merging gauge, satellite, and reanalysis data","volume":"21","author":"Beck","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.5194\/hess-15-1109-2011","article-title":"Status of satellite precipitation retrievals","volume":"15","author":"Kidd","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1002\/qj.3803","article-title":"The ERA5 global reanalysis","volume":"146","author":"Hersbach","year":"2020","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"105365","DOI":"10.1016\/j.atmosres.2020.105365","article-title":"Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya","volume":"250","author":"Chen","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"e01787","DOI":"10.1029\/2021EA001787","article-title":"Comprehensive Evaluations on the Error Characteristics of the State-of-the-Art Gridded Precipitation Products Over Jiangxi Province in 2019","volume":"8","author":"Hong","year":"2021","journal-title":"Earth Space Sci."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Khandu, Awange, J.L., and Forootan, E. (2016). An evaluation of high-resolution gridded precipitation products over Bhutan (1998\u20132012). Int. J. Climatol., 36, 1067\u20131087.","DOI":"10.1002\/joc.4402"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"D21106","DOI":"10.1029\/2011JD016118","article-title":"A conceptual model for constructing high-resolution gauge-satellite merged precipitation analyses","volume":"116","author":"Xie","year":"2011","journal-title":"J. Geophys. Res. D Atmos."},{"key":"ref_65","first-page":"1296","article-title":"Research on the Applicability of Remote Sensing Precipitation Products in Different Climatic Regions of China","volume":"23","author":"Peng","year":"2021","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"L22401","DOI":"10.1029\/2006GL027393","article-title":"Areal estimation of intensity and frequency of summertime precipitation over a midlatitude region","volume":"33","author":"Kursinski","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Ahmed, K., Shahid, S., Wang, X.J., Nawaz, N., and Khan, N. (2019). Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan. Water, 11.","DOI":"10.3390\/w11020210"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1002\/met.1600","article-title":"Evaluating global reanalysis precipitation datasets with rain gauge measurements in the Sudano-Sahel region: Case study of the Logone catchment, Lake Chad Basin","volume":"24","author":"Nkiaka","year":"2017","journal-title":"Meteorol. Appl."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"D02115","DOI":"10.1029\/2010JD014741","article-title":"Evaluation of satellite-retrieved extreme precipitation rates across the central United States","volume":"116","author":"AghaKouchak","year":"2011","journal-title":"J. Geophys. Res. D Atmos."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"2540","DOI":"10.1109\/JSTARS.2017.2672786","article-title":"Evaluation and Comparison of Daily Rainfall From Latest GPM and TRMM Products Over the Mekong River Basin","volume":"10","author":"Wang","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s00704-020-03301-5","article-title":"Performance evaluation of CHIRPS satellite precipitation estimates over Turkey","volume":"142","author":"Aksu","year":"2020","journal-title":"Theor. Appl. Climatol."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1175\/JHM-D-16-0190.1","article-title":"Quantifying the Snowfall Detection Performance of the GPM Microwave Imager Channels over Land","volume":"18","author":"You","year":"2017","journal-title":"J. Hydrometeorol."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"125284","DOI":"10.1016\/j.jhydrol.2020.125284","article-title":"Recent Global Performance of the Climate Hazards Group Infrared Precipitation (CHIRP) with Stations (CHIRPS)","volume":"591","author":"Shen","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"111697","DOI":"10.1016\/j.rse.2020.111697","article-title":"Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets","volume":"240","author":"Tang","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Gao, Z., Huang, B., Ma, Z., Chen, X., Qiu, J., and Liu, D. (2020). Comprehensive Comparisons of State-of-the-Art Gridded Precipitation Estimates for Hydrological Applications over Southern China. Remote Sens., 12.","DOI":"10.3390\/rs12233997"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"2352","DOI":"10.1002\/2018GL077065","article-title":"Contributions of Dynamic and Thermodynamic Scaling in Subdaily Precipitation Extremes in India","volume":"45","author":"Ali","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1177\/0309133319861828","article-title":"Characteristics and reasons for light rain reduction in Southwest China in recent decades","volume":"43","author":"Zhang","year":"2019","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Cinner, J.E., Caldwell, I.R., Thiault, L., Ben, J., Blanchard, J.L., Coll, M., Diedrich, A., Eddy, T.D., Everett, J.D., and Folberth, C. (2022). Potential impacts of climate change on agriculture and fisheries production in 72 tropical coastal communities. Nat. Commun., 13.","DOI":"10.1038\/s41467-022-30991-4"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"108401","DOI":"10.1016\/j.agrformet.2021.108401","article-title":"Changes in climate-crop yield relationships affect risks of crop yield reduction","volume":"304","author":"Feng","year":"2021","journal-title":"Agricultural and Forest Meteorology"},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1007\/s00704-020-03506-8","article-title":"Spatiotemporal characteristics and risk assessment of agricultural drought disasters during the winter wheat-growing season on the Huang-Huai-Hai Plain, China","volume":"143","author":"Hu","year":"2021","journal-title":"Theor. Appl. Climatol."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1111\/gcb.12077","article-title":"Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: A multimethod analysis","volume":"19","author":"Cong","year":"2013","journal-title":"Global Change Biol."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"5415","DOI":"10.5194\/hess-21-5415-2017","article-title":"Impact of ENSO regimes on developing- and decaying-phase precipitation during rainy season in China","volume":"21","author":"Cao","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.jhydrol.2015.12.003","article-title":"Impacts of ENSO and ENSO Modoki plus A regimes on seasonal precipitation variations and possible underlying causes in the Huai River basin, China","volume":"533","author":"Zhang","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.rse.2015.10.027","article-title":"Quantifying the impacts of ENSO and IOD on rain gauge and remotely sensed precipitation products over Australia","volume":"172","author":"Forootan","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Alriah, M.A.A., Bi, S., Nkunzimana, A., Elameen, A.M., Sarfo, I., and Ayugi, B. (2022). Multiple gridded-based precipitation products\u2019 performance in Sudan\u2019s different topographical features and the influence of the Atlantic Multidecadal Oscillation on rainfall variability in recent decades. Int. J. Climatol.","DOI":"10.1002\/joc.7845"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1002\/joc.5317","article-title":"Uncertainties of gridded precipitation observations in characterizing spatio-temporal drought and wetness over Vietnam","volume":"38","author":"Vu","year":"2018","journal-title":"Int. J. Climatol."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Power, K., Axelsson, J., Wangdi, N., and Zhang, Q. (2021). Regional and Local Impacts of the ENSO and IOD Events of 2015 and 2016 on the Indian Summer Monsoon-A Bhutan Case Study. Atmosphere, 12.","DOI":"10.3390\/atmos12080954"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/223\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:48:59Z","timestamp":1760147339000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/1\/223"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,31]]},"references-count":87,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,1]]}},"alternative-id":["rs15010223"],"URL":"https:\/\/doi.org\/10.3390\/rs15010223","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,31]]}}}