{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T03:35:50Z","timestamp":1776396950255,"version":"3.51.2"},"reference-count":62,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"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":["42077420"],"award-info":[{"award-number":["42077420"]}],"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":["2018YFC1508902"],"award-info":[{"award-number":["2018YFC1508902"]}],"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>This study evaluated the performance of the early, late and final runs of IMERG version 06 precipitation products at various spatial and temporal scales in China from 2008 to 2017, against observations from 696 rain gauges. The results suggest that the three IMERG products can well reproduce the spatial patterns of precipitation, but exhibit a gradual decrease in the accuracy from the southeast to the northwest of China. Overall, the three runs show better performances in the eastern humid basins than the western arid basins. Compared to the early and late runs, the final run shows an improvement in the performance of precipitation estimation in terms of correlation coefficient, Kling\u2013Gupta Efficiency and root mean square error at both daily and monthly scales. The three runs show similar daily precipitation detection capability over China. The biases of the three runs show a significantly positive (p &lt; 0.01) correlation with elevation, with higher accuracy observed with an increase in elevation. However, the categorical metrics exhibit low levels of dependency on elevation, except for the probability of detection. Over China and major river basins, the three products underestimate the frequency of no\/tiny rain events (P &lt; 0.1 mm\/day) but overestimate the frequency of light rain events (0.1 \u2264 P &lt; 10 mm\/day). The three products converge with ground-based observation with regard to the frequency of rainstorm (P \u2265 50 mm\/day) in the southern part of China. The revealed uncertainties associated with the IMERG products suggests that sustaining efforts are needed to improve their retrieval algorithms in the future.<\/jats:p>","DOI":"10.3390\/rs13061208","type":"journal-article","created":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T12:55:07Z","timestamp":1616417707000},"page":"1208","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["A Comprehensive Evaluation of Latest GPM IMERG V06 Early, Late and Final Precipitation Products across China"],"prefix":"10.3390","volume":"13","author":[{"given":"Linfei","family":"Yu","sequence":"first","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 101400, China"}]},{"given":"Guoyong","family":"Leng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 101400, China"}]},{"given":"Andre","family":"Python","sequence":"additional","affiliation":[{"name":"Big Data Institute, University of Oxford, Oxford OX3 7LF, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4071-0512","authenticated-orcid":false,"given":"Jian","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing, Helmholtz Centre for Environmental Research\u2212UFZ, Permoserstrasse 15, 04318 Leipzig, Germany"},{"name":"Remote Sensing Centre for Earth System Research, Leipzig University, 04109 Leipzig, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1038\/nclimate2941","article-title":"More extreme precipitation in the world\u2019s dry and wet regions","volume":"6","author":"Donat","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/j.atmosres.2018.06.023","article-title":"Validation of CHIRPS precipitation dataset along the Central Andes of Argentina","volume":"213","author":"Rivera","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"123","DOI":"10.3354\/cr00953","article-title":"Changes in precipitation with climate change","volume":"47","author":"Trenberth","year":"2011","journal-title":"Clim. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3904","DOI":"10.1175\/JCLI-D-12-00502.1","article-title":"Global increasing trends in annual maximum daily precipitation","volume":"26","author":"Westra","year":"2013","journal-title":"J. Clim."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1002\/2014RG000456","article-title":"Remote sensing of drought: Progress, challenges and opportunities","volume":"53","author":"AghaKouchak","year":"2015","journal-title":"Rev. Geophys."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"7773","DOI":"10.1175\/JCLI-D-15-0618.1","article-title":"Comparison of global precipitation estimates across a range of temporal and spatial scales","volume":"29","author":"Gehne","year":"2016","journal-title":"J. Clim."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1175\/JHM-D-15-0051.1","article-title":"Global precipitation estimates from cross-track passive microwave observations using a physically based retrieval scheme","volume":"17","author":"Kidd","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ouyang, L., Yang, K., Lu, H., Chen, Y., La, Z., Zhou, X., and Wang, Y. (2020). Ground-based observations reveal unique valley precipitation patterns in the central Himalaya. J. Geophys. Res. Atmos., 125.","DOI":"10.1029\/2019JD031502"},{"key":"ref_9","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_10","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_11","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1175\/JHM-D-14-0106.1","article-title":"Precipitation seasonality over the Indian subcontinent: An evaluation of gauge, reanalyses, and satellite retrievals","volume":"16","author":"Rana","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"107","DOI":"10.2528\/PIERB11040402","article-title":"Tropical rain classification and estimation of rain from Z-R (reflectivity-rain rate) relationships","volume":"32","author":"Kumar","year":"2011","journal-title":"Prog. Electromagn. Res. B"},{"key":"ref_13","unstructured":"Persson, A., and Grazzini, F. (2021, March 20). User Guide to ECMWF Forecast Products. Meteorological Bulletin. M3.2, ECMWE, 2007, p. 115. Available online: https:\/\/www.researchgate.net\/publication\/255267254_User_guide_to_ECMWF_forecast_products."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3624","DOI":"10.1175\/JCLI-D-11-00015.1","article-title":"MERRA: NASA\u2019s Modern-era retrospective analysis for research and applications","volume":"24","author":"Rienecker","year":"2011","journal-title":"J. Clim."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1939","DOI":"10.1175\/JAMC-D-12-0291.1","article-title":"Regional climate and variability of NASA merra and recent reanalyses: U.S. summertime precipitation and temperature","volume":"52","author":"Bosilovich","year":"2013","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1175\/JHM-D-19-0167.1","article-title":"Performance of multiple satellite precipitation estimates over a typical arid mountainous area of China: Spatiotemporal patterns and extremes","volume":"21","author":"Chen","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Kim, J., Han, H., Kim, B., Chen, H., and Lee, J.-H. (2020). Use of a high-resolution-satellite-based precipitation product in mapping continental-scale rainfall erosivity: A case study of the United States. Catena, 193.","DOI":"10.1016\/j.catena.2020.104602"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.5194\/hess-21-1295-2017","article-title":"Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile","volume":"21","author":"Nauditt","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2477","DOI":"10.1175\/JHM-D-16-0079.1","article-title":"A novel approach to identify sources of errors in UMERG for GPM ground validation","volume":"17","author":"Tan","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Mahmoud, M.T., Mohammed, S.A., Hamouda, M.A., and Mohamed, M.M. (2020). Impact of topography and rainfall intensity on the accuracy of IMERG precipitation estimates in an arid region. Remote Sens., 13.","DOI":"10.3390\/rs13010013"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Huang, W.-R., Liu, P.-Y., Hsu, J., Li, X., and Deng, L. (2021). Assessment of near-real-time satellite precipitation products from GSMAP in monitoring rainfall variations over Taiwan. Remote Sens., 13.","DOI":"10.3390\/rs13020202"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Turk, F.J., Hristova-Veleva, S., and Giglio, D. (2021). Examination of the daily cycle wind vector modes of variability from the constellation of microwave scatterometers and radiometers. Remote Sens., 13.","DOI":"10.3390\/rs13010141"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.atmosres.2017.02.006","article-title":"Assessment of satellite precipitation estimates over the slopes of the subtropical Andes","volume":"190","author":"Hobouchian","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1175\/BAMS-88-1-47","article-title":"Comparison of near-real-time precipitation estimates from satellite observations and numerical models","volume":"88","author":"Ebert","year":"2007","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1175\/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2","article-title":"CMORPH: A method that produces global. Precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution","volume":"5","author":"Joyce","year":"2004","journal-title":"J. Hydrometeor."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM multi-satellite precipitation analysis (TMPA): Qua-si-global, multiyear, combined-sensor precipitation estimate at fine scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. Hydrometeor."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1002\/met.284","article-title":"Global precipitation measurement","volume":"18","author":"Kidd","year":"2011","journal-title":"Meteorol. Appl."},{"key":"ref_28","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. Am. Meteorol. Soc."},{"key":"ref_29","unstructured":"Huffman, G.J., Bolvin, D.T., Braithwaite, D., Hsu, K., Joyce, R., Kidd, C., Nelkin, E.J., Sorooshian, S., Tan, J., and Xie, P. (2021, March 20). NASA global precipitation measurement (GPM) integrated multi-satellite retrievals for GPM (IMERG), Algorithm Theoretical Basis Document (ATBD), Available online: https:\/\/docserver.gesdisc.eosdis.nasa.gov\/public\/project\/GPM\/IMERG_ATBD_V06.pdf."},{"key":"ref_30","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_31","doi-asserted-by":"crossref","unstructured":"Wei, G., L\u00fc, H., Crow, W.T., Zhu, Y., Wang, J., and Su, J. (2018). Evaluation of Satellite-Based precipitation product from IMERG V04A and V03D, CMORPH and TMPA with gauged rainfall in three climatologic zones in China. Remote Sens., 10.","DOI":"10.3390\/rs10010030"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.atmosres.2018.02.010","article-title":"Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan","volume":"205","author":"Anjum","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.jhydrol.2019.01.036","article-title":"Performance assessment of CHIRPS, MSWEP, SM2RAIN-CCI, and TMPA precipitation products across India","volume":"571","author":"Prakash","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Tang, G., Clark, M.P., Papalexiou, S.M., Ma, Z., and Hong, Y. (2020). Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets. Remote Sens. Environ., 240.","DOI":"10.1016\/j.rse.2020.111697"},{"key":"ref_35","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":"Tan","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1007\/s00704-018-2749-1","article-title":"Validation of Integrated MultisatellitE Retrievals for GPM (IMERG) by using gauge-based analysis products of daily precipitation over East Asia","volume":"137","author":"Lee","year":"2019","journal-title":"Theor. Appl. Clim."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1175\/JHM-D-16-0187.1","article-title":"Evaluation of integrated multisatellite retrievals for GPM (IMERG) over southern Canada against ground precipitation observations: A preliminary assessment","volume":"18","author":"Asong","year":"2017","journal-title":"J. Hydrometeorol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2817","DOI":"10.1175\/JHM-D-17-0139.1","article-title":"Validation of IMERG precipitation in Africa","volume":"18","author":"Dezfuli","year":"2017","journal-title":"J. Hydrometeorol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.jhydrol.2018.06.064","article-title":"Global intercomparison and regional evaluation of GPM IMERG Version-03, Version-04 and its latest Version-05 precipitation products: Similarity, difference and improvements","volume":"564","author":"Wang","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_40","first-page":"1466","article-title":"A parameterization of probability of snow-rain transition","volume":"16","author":"Sim","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1175\/JHM-D-19-0269.1","article-title":"Validation of GPM IMERG V05 and V06 precipitation products over Iran","volume":"21","author":"Tang","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"6559","DOI":"10.5194\/hess-21-6559-2017","article-title":"Evaluation of GPM IMERG early, late, and final rainfall estimates using WegenerNet gauge data in southeastern Austria","volume":"21","author":"Foelsche","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Ramsauer, T., Wei\u00df, T., and Marzahn, P. (2018). Comparison of the GPM IMERG final precipitation product to radolan weather radar data over the topographically and climatically diverse Germany. Remote Sens., 10.","DOI":"10.3390\/rs10122029"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Yu, C., Hu, D., Liu, M., Wang, S., and Di, Y. (2020). Spatio-temporal accuracy evaluation of three high-resolution satellite precipitation products in China area. Atmos. Res., 241.","DOI":"10.1016\/j.atmosres.2020.104952"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1002\/joc.4341","article-title":"Validation and comparison of a new gauge-based precipitation analysis over mainland China","volume":"36","author":"Shen","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1002\/2016JD025418","article-title":"Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high-density rain gauge network","volume":"122","author":"Xu","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2018\/3024190","article-title":"Comprehensive evaluation of GPM-IMERG, CMORPH, and TMPA precipitation products with gauged rainfall over mainland China","volume":"2018","author":"Wei","year":"2018","journal-title":"Adv. Meteorol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"5620","DOI":"10.1080\/01431161.2020.1734255","article-title":"Assessment of high-resolution satellite rainfall products over a gradually elevating mountainous terrain based on a high-density rain gauge network","volume":"41","author":"Yu","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Yu, L., Zhang, Y., and Yang, Y. (2020). Using high-density rain gauges to validate the accuracy of satellite precipitation products over complex terrains. Atmosphere, 11.","DOI":"10.3390\/atmos11060633"},{"key":"ref_50","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_51","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.jhydrol.2012.01.011","article-title":"Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios","volume":"424","author":"Kling","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_52","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":"Atmospheric Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1016\/j.jhydrol.2018.06.045","article-title":"Evaluation of hydrological utility of IMERG Final run V05 and TMPA 3B42V7 satellite precipitation products in the Yellow River source region, China","volume":"567","author":"Yuan","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1029\/2018EA000503","article-title":"Preliminary evaluation of GPM-IMERG rainfall estimates over three distinct climate zones with APHRODITE","volume":"6","author":"Sunilkumar","year":"2019","journal-title":"Earth Space Sci."},{"key":"ref_55","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_56","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.5194\/essd-12-1525-2020","article-title":"AIMERG: A new Asian precipitation dataset (0.1\u00b0\/half-hourly, 2000\u20132015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE","volume":"12","author":"Ma","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.atmosres.2014.11.012","article-title":"Validation of TRMM multi-satellite precipitation analysis (TMPA) products in the Peruvian Andes","volume":"163","author":"Mantas","year":"2015","journal-title":"Atmospheric Res."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"6117","DOI":"10.5194\/hess-21-6117-2017","article-title":"Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale","volume":"21","author":"Beria","year":"2017","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.atmosres.2019.03.001","article-title":"Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China","volume":"223","author":"Fang","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Chen, F., and Li, X. (2016). Evaluation of IMERG and TRMM 3B43 monthly precipitation products over mainland China. Remote Sens., 8.","DOI":"10.3390\/rs8060472"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.atmosres.2009.06.015","article-title":"Evaluation of TMPA satellite-based research and real-time rainfall estimates during six tropical-related heavy rainfall events over Louisiana, USA","volume":"94","author":"Habib","year":"2009","journal-title":"Atmospheric Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1175\/2007JHM876.1","article-title":"Thailand daily rainfall and comparison with TRMM products","volume":"9","author":"Chokngamwong","year":"2008","journal-title":"J. Hydrometeorol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1208\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:39:23Z","timestamp":1760161163000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1208"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,22]]},"references-count":62,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13061208"],"URL":"https:\/\/doi.org\/10.3390\/rs13061208","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,22]]}}}