{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T13:13:32Z","timestamp":1774876412096,"version":"3.50.1"},"reference-count":72,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"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":["41971035"],"award-info":[{"award-number":["41971035"]}],"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":["2021YFC3201102"],"award-info":[{"award-number":["2021YFC3201102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["41971035"],"award-info":[{"award-number":["41971035"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFC3201102"],"award-info":[{"award-number":["2021YFC3201102"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Continuous and accurate precipitation data are critical to water resource management and eco-logical protection in water-scarce and ecologically fragile endorheic or inland basins. However, in typical data-scarce endorheic basins such as the endorheic basin of the Yellow River Basin (EBYRB) in China, multi-source precipitation products provide an opportunity to accurately capture the spatial distribution of precipitation, but the applicability evaluation of multi-source precipitation products under multi-time scales and multi-modes is currently lacking. In this context, our study evaluates the regional applicability of seven diverse gridded precipitation products (APHRODITE, GPCC, PERSIANN-CDR, CHIRPS, ERA5, JRA55, and MSWEP) within the EBYRB considering multiple temporal scales and two modes (annual\/monthly\/seasonal\/daily precipitation in the mean state and monthly\/daily precipitation in the extreme state). Furthermore, we explore the selection of suitable precipitation products for the needs of different hydrological application scenarios. Our research results indicate that each product has its strengths and weaknesses at different time scales and modes of coupling. GPCC excels in capturing annual, seasonal, and monthly average precipitation as well as monthly and daily extreme precipitation, essentially meeting the requirements for inter-annual or intra-annual water resource management in the EBYRB. CHIRPS and PERSIANN-CDR have higher accuracy in extreme precipitation assessment and can provide near real-time data, which can be applied as dynamic input precipitation variables in extreme precipitation warnings. APHRODITE and MSWEP exhibit superior performance in daily average precipitation that can provide data for meteorological or hydrological studies at the daily scale in the EBYRB. At the same time, our research also exposes typical problems with several precipitation products, such as MSWEP\u2019s abnormal assessment of summer precipitation in certain years and ERA5 and JRA55\u2019s overall overestimation of precipitation assessment in the study area.<\/jats:p>","DOI":"10.3390\/rs16050872","type":"journal-article","created":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T07:36:21Z","timestamp":1709278581000},"page":"872","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Applicability of Precipitation Products in the Endorheic Basin of the Yellow River under Multi-Scale in Time and Modality"],"prefix":"10.3390","volume":"16","author":[{"given":"Weiru","family":"Zhu","sequence":"first","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Kang","family":"Liang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,29]]},"reference":[{"key":"ref_1","unstructured":"Nichols, G. (2011). Tectonics of Sedimentary Basins: Recent Advances, John Wiley & Sons."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1038\/s41561-018-0265-7","article-title":"Recent global decline in endorheic basin water storages","volume":"11","author":"Wang","year":"2018","journal-title":"Nat. Geosci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"W07518","DOI":"10.1029\/2010WR009792","article-title":"Global monthly water stress: 2. Water demand and severity of water stress","volume":"47","author":"Wada","year":"2011","journal-title":"Water Resour. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1038\/ngeo3052","article-title":"Decline of the world\u2019s saline lakes","volume":"10","author":"Wurtsbaugh","year":"2017","journal-title":"Nat. Geosci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1002\/2017JD027889","article-title":"Hydrological cycle in the Heihe River Basin and its implication for water resource management in endorheic basins","volume":"123","author":"Li","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_6","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. Atmos."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1111\/jawr.12140","article-title":"Water management applications for satellite precipitation products: Synthesis and recommendations","volume":"50","author":"Valdes","year":"2014","journal-title":"J. Am. Water Resour. Assoc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1175\/1520-0442(1996)009<0840:AOGMPU>2.0.CO;2","article-title":"Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions","volume":"9","author":"Xie","year":"1996","journal-title":"J. Clim."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.jhydrol.2018.04.039","article-title":"Cross-evaluation of ground-based, multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China","volume":"562","author":"Li","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1002\/2017RG000574","article-title":"A review of global precipitation data sets: Data sources, estimation, and intercomparisons","volume":"56","author":"Sun","year":"2018","journal-title":"Rev. Geophys."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Ghorbanian, A., Mohammadzadeh, A., Jamali, S., and Duan, Z. (2022). Performance Evaluation of Six Gridded Precipitation Products throughout Iran Using Ground Observations over the Last Two Decades (2000\u20132020). Remote Sens., 14.","DOI":"10.3390\/rs14153783"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"An, Y., Zhao, W., Li, C., and Liu, Y. (2020). Evaluation of six satellite and reanalysis precipitation products using gauge observations over the Yellow River Basin, China. Atmosphere, 11.","DOI":"10.3390\/atmos11111223"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5","DOI":"10.2151\/jmsj.2015-001","article-title":"The JRA-55 reanalysis: General specifications and basic characteristics","volume":"93","author":"Kobayashi","year":"2015","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"D09105","DOI":"10.1029\/2008JD011178","article-title":"Evaluation of precipitation from the ERA-40, NCEP-1, and NCEP-2 Reanalyses and CMAP-1, CMAP-2, and GPCP-2 with ground-based measurements in China","volume":"114","author":"Ma","year":"2009","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_15","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_16","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Chen, S., Li, Z., and Luo, Y. (2023). An Evaluation of CRA40 and ERA5 Precipitation Products over China. Remote Sens., 15.","DOI":"10.3390\/rs15225300"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"4896","DOI":"10.1002\/joc.5131","article-title":"Evaluation of satellite rainfall climatology using CMORPH, PERSIANN-CDR, PERSIANN, TRMM, MSWEP over Iran","volume":"37","author":"Alijanian","year":"2017","journal-title":"Int. J. Climatol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"100521","DOI":"10.1016\/j.wace.2022.100521","article-title":"How well do satellite and reanalysis precipitation products capture North American monsoon season in Arizona and New Mexico?","volume":"38","author":"Ehsani","year":"2022","journal-title":"Weather Clim. Extremes"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1175\/JHM-D-19-0296.1","article-title":"Comparison of two multisatellite algorithms for estimation of tropical cyclone precipitation in the United States and Mexico: TMPA and IMERG","volume":"22","author":"Yuan","year":"2021","journal-title":"J. Hydrometeorol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s11442-020-1714-y","article-title":"Evaluation of Tropical Rainfall Measuring Mission (TRMM) satellite precipitation products for drought monitoring over the middle and lower reaches of the Yangtze River Basin, China","volume":"30","author":"Chen","year":"2020","journal-title":"J. Geogr. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jhydrol.2018.01.039","article-title":"On the performance of satellite precipitation products in riverine flood modeling: A review","volume":"558","author":"Maggioni","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2855","DOI":"10.1175\/JHM-D-20-0040.1","article-title":"Assessment of extremes in global precipitation products: How reliable are they?","volume":"21","author":"Rajulapati","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1029\/2009WR008965","article-title":"Hydrologic evaluation of Multisatellite Precipitation Analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China","volume":"46","author":"Yong","year":"2010","journal-title":"Water Resour. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1175\/BAMS-D-11-00122.1","article-title":"APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges","volume":"93","author":"Yatagai","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_25","unstructured":"Schneider, U., H\u00e4nsel, S., Finger, P., Rustemeier, E., and Ziese, M. (2022). GPCC Full Data Monthly Product Version 2022 at 0.25: Monthly Land-Surface Precipitation from Rain-Gauges Built on GTS-Based and Historical Data, Global Precipitation Climatology Centre."},{"key":"ref_26","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_27","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1175\/BAMS-D-13-00068.1","article-title":"PERSIANN-CDR: Daily precipitation climate data record from multisatellite observations for hydrological and climate studies","volume":"96","author":"Ashouri","year":"2015","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"150066","DOI":"10.1038\/sdata.2015.66","article-title":"The climate hazards infrared precipitation with stations\u2014A new environmental record for monitoring extremes","volume":"2","author":"Funk","year":"2015","journal-title":"Sci. Data"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1175\/BAMS-D-17-0138.1","article-title":"MSWEP V2 global 3-hourly 0.1 precipitation: Methodology and quantitative assessment","volume":"100","author":"Beck","year":"2019","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"105287","DOI":"10.1016\/j.atmosres.2020.105287","article-title":"Evaluation of multi-source precipitation products over the Yangtze River Basin","volume":"249","author":"Wang","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.atmosres.2018.02.020","article-title":"Multi time-scale evaluation of high-resolution satellite-based precipitation products over northeast of Austria","volume":"206","author":"Sharifi","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Hsu, J., Huang, W.-R., Liu, P.-Y., and Li, X. (2021). Validation of CHIRPS precipitation estimates over Taiwan at multiple timescales. Remote Sens., 13.","DOI":"10.3390\/rs13020254"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"105539","DOI":"10.1016\/j.atmosres.2021.105539","article-title":"Evaluation of six precipitation products in the Mekong River Basin","volume":"255","author":"Tian","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Dong, W., Wang, G., Guo, L., Sun, J., and Sun, X. (2022). Evaluation of Three Gridded Precipitation Products in Characterizing Extreme Precipitation over the Hengduan Mountains Region in China. Remote Sens., 14.","DOI":"10.3390\/rs14174408"},{"key":"ref_35","unstructured":"P\u00f6rtner, H.-O., Roberts, D.C., Poloczanska, E., Mintenbeck, K., Tignor, M., Alegr\u00eda, A., Craig, M., Langsdorf, S., L\u00f6schke, S., and M\u00f6ller, V. (2022). IPCC, 2022: Summary for Policymakers, IPCC."},{"key":"ref_36","unstructured":"Parmesan, C., Morecroft, M.D., and Trisurat, Y. (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability, GIEC."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.wace.2015.10.007","article-title":"Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond","volume":"11","author":"Alexander","year":"2016","journal-title":"Weather Clim. Extrem."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Liang, K., and Li, Y. (2019). Changes in lake area in response to climatic forcing in the endorheic Hongjian Lake Basin, China. Remote Sens., 11.","DOI":"10.3390\/rs11243046"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Liang, K., and Yan, G. (2017). Application of Landsat imagery to investigate lake area variations and relict gull habitat in Hongjian lake, Ordos Plateau, China. Remote Sens., 9.","DOI":"10.3390\/rs9101019"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.quaint.2016.12.034","article-title":"Dynamics and driving forces of bojiang lake area in erdos larus relictus national nature reserve, China","volume":"475","author":"Yan","year":"2018","journal-title":"Quat. Int."},{"key":"ref_41","unstructured":"Zhang, T. (2003). Approach to Issues on Inland Waters of the Yellow River. Yellow River, 25."},{"key":"ref_42","first-page":"1107","article-title":"Formation mechanism of interior drainage areas and closed drainage areas of the Ordos Plateau in the middle reaches of the Yellow River, China based on an analysis of the water cycle","volume":"27","author":"Hou","year":"2008","journal-title":"Geol. Bull. China"},{"key":"ref_43","unstructured":"Zhang, L., Zhang, P., Gao, Y., and Li, X. (2018). General Survey of the Rivers and Lakes in the Ordos Surface Endorheic Region. Yellow River, 40."},{"key":"ref_44","first-page":"20","article-title":"Study on the Sustainable Exploitation and Utilization of Groundwater Resources in Interior Regions in the Ordos Plateau","volume":"4","author":"Wang","year":"2005","journal-title":"Arid Zone Res."},{"key":"ref_45","unstructured":"Zhang, J., Wang, Y., Fu, J., and Zhang, C. (2022). Spatial-Temporal Dynamic Characteristics of Land Use and Vegetation Cover in Inland Flow Area of Yellow River Basin. Yellow River, 44."},{"key":"ref_46","unstructured":"Ziese, M., Rauthe-Sch\u00f6ch, A., Becker, A., Finger, P., Rustemeier, E., and Schneider, U. (2022). GPCC Full Data Daily Version 2022 at 1.0\u00b0: Daily Land-Surface Precipitation from Rain-Gauges Built on GTS-Based and Historic Data, Global Precipitation Climatology Centre."},{"key":"ref_47","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_48","doi-asserted-by":"crossref","first-page":"149","DOI":"10.2151\/sola.2011-038","article-title":"The Japanese 55-year reanalysis \u201cJRA-55\u201d: An interim report","volume":"7","author":"Ebita","year":"2011","journal-title":"Sola"},{"key":"ref_49","unstructured":"Hutchinson, M.F., and Xu, T. (2004). ANUSPLIN Version 4.4 User Guide, Centre for Resource and Environmental Studies, The Australian National University. Available online: https:\/\/fennerschool.anu.edu.au\/files\/anusplin44.pdf."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Bayissa, Y., Tadesse, T., Demisse, G., and Shiferaw, A. (2017). Evaluation of satellite-based rainfall estimates and application to monitor meteorological drought for the Upper Blue Nile Basin, Ethiopia. Remote Sens., 9.","DOI":"10.3390\/rs9070669"},{"key":"ref_51","unstructured":"Peterson, T., Folland, C., Gruza, G., Hogg, W., Mokssit, A., and Plummer, N. (2001). Report on the Activities of the Working Group on Climate Change Detection and Related Rapporteurs, World Meteorological Organization."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1098\/rspl.1896.0076","article-title":"Mathematical contributions to the theory of evolution\u2014On a form of spurious correlation which may arise when indices are used in the measurement of organs","volume":"60","author":"Pearson","year":"1897","journal-title":"Proc. R. Soc. Lond."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1029\/1998WR900018","article-title":"Evaluating the use of \u201cgoodness-of-fit\u201d measures in hydrologic and hydroclimatic model validation","volume":"35","author":"Legates","year":"1999","journal-title":"Water Resour. Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.jhydrol.2009.08.003","article-title":"Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling","volume":"377","author":"Gupta","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"7183","DOI":"10.1029\/2000JD900719","article-title":"Summarizing multiple aspects of model performance in a single diagram","volume":"106","author":"Taylor","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_56","first-page":"371","article-title":"Applicability evaluation of MSWEP product for meteorological drought monitoring in the Yellow River Basin","volume":"46","author":"Xu","year":"2023","journal-title":"Arid Land Geogr."},{"key":"ref_57","first-page":"361","article-title":"Assessing the Quality of APHRODITE High-Resolution Daily Precipitation Dataset over Contiguous China","volume":"36","author":"Han","year":"2012","journal-title":"Chin. J. Atmos. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Dinh, K.D., Anh, T.N., Nguyen, N.Y., Bui, D.D., and Srinivasan, R. (2020). Evaluation of grid-based rainfall products and water balances over the Mekong river Basin. Remote Sens., 12.","DOI":"10.3390\/rs12111858"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"104952","DOI":"10.1016\/j.atmosres.2020.104952","article-title":"Spatio-temporal accuracy evaluation of three high-resolution satellite precipitation products in China area","volume":"241","author":"Yu","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_60","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_61","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.atmosres.2018.05.016","article-title":"Comparison of two long-term and high-resolution satellite precipitation datasets in Xinjiang, China","volume":"212","author":"Gao","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"3531","DOI":"10.5194\/tc-16-3531-2022","article-title":"Global Monitoring of Snow Water Equivalent using High Frequency Radar Remote Sensing","volume":"16","author":"Tsang","year":"2022","journal-title":"Cryosphere Discuss."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1175\/JHM-D-14-0174.1","article-title":"Evaluation of the PERSIANN-CDR daily rainfall estimates in capturing the behavior of extreme precipitation events over China","volume":"16","author":"Miao","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"104818","DOI":"10.1016\/j.atmosres.2019.104818","article-title":"Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China","volume":"236","author":"Yao","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Yang, Y., Wu, J., Bai, L., and Wang, B. (2020). Reliability of gridded precipitation products in the Yellow River Basin, China. Remote Sens., 12.","DOI":"10.3390\/rs12030374"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"4869","DOI":"10.5194\/hess-24-4869-2020","article-title":"Which rainfall score is more informative about the performance in river discharge simulation? A comprehensive assessment on 1318 basins over Europe","volume":"24","author":"Camici","year":"2020","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"106052","DOI":"10.1016\/j.atmosres.2022.106052","article-title":"Detecting drought events over Iran during 1983\u20132017 using satellite and ground-based precipitation observations","volume":"269","author":"Kazemzadeh","year":"2022","journal-title":"Atmos. Res."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.isprsjprs.2020.07.015","article-title":"Remote sensed-based rainfall estimations over the East and West Africa regions for disaster risk management","volume":"167","author":"Boluwade","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"D02114","DOI":"10.1029\/2009JD012097","article-title":"Performance of high-resolution satellite precipitation products over China","volume":"115","author":"Shen","year":"2010","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Guo, H., Chen, S., Bao, A., Hu, J., Yang, B., and Stepanian, P.M. (2015). Comprehensive evaluation of high-resolution satellite-based precipitation products over China. Atmosphere, 7.","DOI":"10.3390\/atmos7010006"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1080\/02723646.1980.10642189","article-title":"An empirical method for the spatial interpolation of monthly precipitation within California","volume":"1","author":"Willmott","year":"1980","journal-title":"Phys. Geogr."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1111\/j.1752-1688.1985.tb00147.x","article-title":"A comparative analysis of techniques for spatial interpolation of precipitation 1","volume":"21","author":"Tabios","year":"1985","journal-title":"JAWRA J. Am. Water Resour. Assoc."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/5\/872\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:07:29Z","timestamp":1760105249000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/5\/872"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,29]]},"references-count":72,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["rs16050872"],"URL":"https:\/\/doi.org\/10.3390\/rs16050872","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,29]]}}}