{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T11:36:48Z","timestamp":1778499408842,"version":"3.51.4"},"reference-count":47,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T00:00:00Z","timestamp":1610496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 106-2628-M-003-001-MY4"],"award-info":[{"award-number":["MOST 106-2628-M-003-001-MY4"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 109-2625-M-003-004"],"award-info":[{"award-number":["MOST 109-2625-M-003-004"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), which incorporates satellite imagery and in situ station information, is a new high-resolution long-term precipitation dataset available since 1981. This study aims to understand the performance of the latest version of CHIRPS in depicting the multiple timescale precipitation variation over Taiwan. The analysis is focused on examining whether CHIRPS is better than another satellite precipitation product\u2014the Integrated Multi-satellitE Retrievals for Global Precipitation Mission (GPM) final run (hereafter IMERG)\u2014which is known to effectively capture the precipitation variation over Taiwan. We carried out the evaluations made for annual cycle, seasonal cycle, interannual variation, and daily variation during 2001\u20132019. Our results show that IMERG is slightly better than CHIRPS considering most of the features examined; however, CHIRPS performs better than that of IMERG in representing the (1) magnitude of the annual cycle of monthly precipitation climatology, (2) spatial distribution of the seasonal mean precipitation for all four seasons, (3) quantitative precipitation estimation of the interannual variation of area-averaged winter precipitation in Taiwan, and (4) occurrence frequency of the non-rainy grids in winter. Notably, despite the fact that CHIRPS is not better than IMERG for many examined features, CHIRPS can depict the temporal variation in precipitation over Taiwan on annual, seasonal, and interannual timescales with 95% significance. This highlights the potential use of CHIRPS in studying the multiple timescale variation in precipitation over Taiwan during the years 1981\u20132000, for which there are no data available in the IMERG database.<\/jats:p>","DOI":"10.3390\/rs13020254","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T21:50:54Z","timestamp":1610574654000},"page":"254","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Validation of CHIRPS Precipitation Estimates over Taiwan at Multiple Timescales"],"prefix":"10.3390","volume":"13","author":[{"given":"Jie","family":"Hsu","sequence":"first","affiliation":[{"name":"Department of Earth Sciences, National Taiwan Normal University, Taipei 11677, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2171-4075","authenticated-orcid":false,"given":"Wan-Ru","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, National Taiwan Normal University, Taipei 11677, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pin-Yi","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, National Taiwan Normal University, Taipei 11677, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuzhen","family":"Li","sequence":"additional","affiliation":[{"name":"Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2299","DOI":"10.1175\/1520-0477(1999)080<2299:DASVOT>2.0.CO;2","article-title":"Diurnal and seasonal variations of the rainfall measured by the automatic rainfall and meteorological telemetry system in Taiwan","volume":"80","author":"Chen","year":"1999","journal-title":"Bull. Am. Meteor. Soc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1080\/01431160600954688","article-title":"Validation of satellite rainfall products over East Africa\u2019s complex topography","volume":"28","author":"Dinku","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4097","DOI":"10.1080\/01431160701772526","article-title":"Validation of high-resolution satellite rainfall products over complex terrain in Africa","volume":"29","author":"Dinku","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1175\/2009JAMC2260.1","article-title":"Validation and intercomparison of satellite rainfall estimates over Colombia","volume":"49","author":"Dinku","year":"2009","journal-title":"J. Appl. Meteor. Climatol."},{"key":"ref_5","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_6","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1175\/JHM-D-11-086.1","article-title":"Evaluation of Global Satellite Rainfall Products over Continental Europe","volume":"13","author":"Stampoulis","year":"2012","journal-title":"J. Hydrometeorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1175\/JHM-D-13-0191.1","article-title":"Evaluation of multiple satellite-based precipitation products over complex topography","volume":"15","author":"Derin","year":"2014","journal-title":"J. Hydrometeorol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1614","DOI":"10.1002\/joc.4446","article-title":"Assessment of TRMM-based TMPA-3B42 and GSMaP precipitation products over India for the peak southwest monsoon season","volume":"36","author":"Prakash","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.atmosres.2018.08.004","article-title":"Assessment of IMERG precipitation over Taiwan at multiple timescales","volume":"214","author":"Huang","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1817","DOI":"10.1175\/JHM-D-15-0197.1","article-title":"Multiregional Satellite Precipitation Products Evaluation over Complex Terrain","volume":"17","author":"Derin","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Huang, W.R., Liu, P.Y., Chang, Y.H., and Liu, C.Y. (2020). Evaluation and Application of Satellite Precipitation Products in Studying the Summer Precipitation Variations over Taiwan. Remote Sens., 12.","DOI":"10.3390\/rs12030347"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"105032","DOI":"10.1016\/j.atmosres.2020.105032","article-title":"Assessment of satellite precipitation product estimates over Bali Island","volume":"244","author":"Liu","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhao, C., Ren, L., Yuan, F., Zhang, L., Jiang, S., Shi, J., Chen, T., Liu, S., Yang, X., and Liu, Y. (2020). Statistical and Hydrological Evaluations of Multiple Satellite Precipitation Products in the Yellow River Source Region of China. Water, 12.","DOI":"10.3390\/w12113082"},{"key":"ref_14","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_15","doi-asserted-by":"crossref","first-page":"487","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. Hydrometeorol."},{"key":"ref_16","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_17","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. (2019). Algorithm Theoretical Basis Document (ATBD) Version 06: NASA Global Precipitation Measurement (GPM) Integrated Multi-Satellite Retrievals for GPM (IMERG)."},{"key":"ref_18","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_19","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1175\/JHM560.1","article-title":"The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales","volume":"8","author":"Huffman","year":"2007","journal-title":"J. Hydrometeorol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1175\/JHM-D-15-0190.1","article-title":"A review of merged high-resolution satellite precipitation product accuracy during the Tropical Rainfall Measuring Mission (TRMM) era","volume":"17","author":"Maggioni","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Derin, Y., Anagnostou, E., Berne, A., Borga, M., Boudevillain, B., Buytaert, W., Chang, C.-H., Chen, H., Delrieu, G., and Hsu, Y.C. (2019). Evaluation of GPM-era Global Satellite Precipitation Products over Multiple Complex Terrain Regions. Remote Sens., 11.","DOI":"10.3390\/rs11242936"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Hanati, G., Danierhan, S., Liu, Q., and Xu, Z. (2020). Evaluation and comparison of daily GPM\/TRMM precipitation products over the Tianshan Mountains in China. Water, 12.","DOI":"10.3390\/w12113088"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1175\/1520-0493(2003)131<1323:TRCOT>2.0.CO;2","article-title":"The rainfall characteristics of Taiwan","volume":"131","author":"Chen","year":"2003","journal-title":"Mon. Weather Rev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1002\/1097-0088(20000615)20:7<803::AID-JOC525>3.0.CO;2-4","article-title":"Seasonal variation of the rainfall over Taiwan","volume":"20","author":"Yen","year":"2000","journal-title":"Int. J. Climatol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1175\/2009MWR3031.1","article-title":"The diurnal cycle of winds, rain, and clouds over Taiwan during the mei-yu, summer, and autumn rainfall regimes","volume":"138","author":"Kerns","year":"2010","journal-title":"Mon. Weather Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1175\/1520-0450(2001)040<0331:DVOSRO>2.0.CO;2","article-title":"Diurnal variation of summer rainfall over Taiwan and its detection using TRMM observations","volume":"40","author":"Kishtawal","year":"2001","journal-title":"J. Appl. Meteorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1951","DOI":"10.1007\/s00382-013-2018-z","article-title":"Impact of Land-Sea breezes at different scales on the diurnal rainfall in Taiwan","volume":"43","author":"Huang","year":"2014","journal-title":"Clim. Dyn."},{"key":"ref_28","first-page":"167","article-title":"Evaluation on the performance of TRMM, CMORPH, and PERSIANN in depicting the diurnal precipitation variation in Taiwan","volume":"45","author":"Chen","year":"2017","journal-title":"Atmos. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"155","DOI":"10.3354\/cr01515","article-title":"West African Sahel has become wetter during the last 30 years, but dry spells are shorter and more frequent","volume":"75","author":"Bichet","year":"2018","journal-title":"Clim. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"191","DOI":"10.3354\/cr01537","article-title":"Less frequent and more intense rainfall along the coast of the Gulf of Guinea in West and Central Africa (1981\u20132014)","volume":"76","author":"Bichet","year":"2018","journal-title":"Clim. Res."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Sacr\u00e9 Regis, M.D., Mouhamed, L., Kouakou, K., Adeline, B., Arona, D., Houebagnon Saint, J.C., Koffi Claude, A.K., Talnan Jean, H.C., Salomon, O., and Issiaka, S. (2020). Using the CHIRPS dataset to investigate historical changes in precipitation extremes in West Africa. Climate, 8.","DOI":"10.3390\/cli8070084"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.jaridenv.2016.12.009","article-title":"Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil","volume":"139","author":"Paredes","year":"2016","journal-title":"J. Arid Environ."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Ogbu, K.N., Houngu\u00e8, N.R., Gbode, I.E., and Tischbein, B. (2020). Performance evaluation of satellite-based rainfall products over Nigeria. Climate, 8.","DOI":"10.3390\/cli8100103"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Atiah, W.A., Amekudzi, L.K., Aryee, J.N.A., Preko, K., and Danuor, S.K. (2020). Validation of satellite and merged rainfall data over Ghana, West Africa. Atmosphere, 11.","DOI":"10.3390\/atmos11080859"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"AL-Falahi, A.H., Saddique, N., Spank, U., Gebrechorkos, S.H., and Bernhofer, C. (2020). Evaluation the performance of several gridded precipitation products over the highland region of yemen for water resources management. Remote Sens., 12.","DOI":"10.3390\/rs12182984"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Bai, L., Shi, C., Li, L., Yang, Y., and Wu, J. (2018). Accuracy of CHIRPS satellite-rainfall products over Mainland China. Remote Sens., 10.","DOI":"10.3390\/rs10030362"},{"key":"ref_37","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_38","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1175\/1520-0493(1959)087<0367:AOOAS>2.0.CO;2","article-title":"An operational objective analysis system","volume":"87","author":"Cressman","year":"1959","journal-title":"Mon. Weather Rev."},{"key":"ref_39","unstructured":"Wardlow, B., Anderson, M., and Verdin, J. (2012). Mapping recent decadal climate variations in Eastern Africa and the Sahel. Remote Sensing of Drought: Innovative Monitoring Approaches, CRC Press."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1175\/2010BAMS3001.1","article-title":"The NCEP climate forecast system reanalysis","volume":"91","author":"Saha","year":"2010","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1175\/JAM2173.1","article-title":"Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system","volume":"43","author":"Hong","year":"2004","journal-title":"J. Appl. Meteorol."},{"key":"ref_42","unstructured":"Wilks, D.S. (1995). Statistical Methods in the Atmospheric Sciences, Academic Press. [1st ed.]."},{"key":"ref_43","first-page":"345","article-title":"Methods for verifying satellite precipitation estimates","volume":"Volume 28","author":"Levizzani","year":"2007","journal-title":"Measuring Precipitation from Space"},{"key":"ref_44","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_45","doi-asserted-by":"crossref","unstructured":"Kolluru, V., Kolluru, S., Wagle, N., and Acharya, T.D. (2020). Secondary precipitation estimate merging using machine learning: Development and evaluation over Krishna River Basin, India. Remote Sens., 12.","DOI":"10.3390\/rs12183013"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s11069-018-3196-0","article-title":"Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, China","volume":"92","author":"Gao","year":"2018","journal-title":"Nat. Hazards"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Abebe, S.A., Qin, T., Yan, D., Gelaw, E.B., Workneh, H.T., Kun, W., Liu, S., and Dong, B. (2020). Spatial and Temporal Evaluation of the latest high-resolution precipitation products over the Upper Blue Nile River Basin, Ethiopia. Water, 12.","DOI":"10.3390\/w12113072"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/2\/254\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:10:39Z","timestamp":1760159439000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/2\/254"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,13]]},"references-count":47,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["rs13020254"],"URL":"https:\/\/doi.org\/10.3390\/rs13020254","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,13]]}}}