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Wong Education Foundation","award":["42230708"],"award-info":[{"award-number":["42230708"]}]},{"name":"K.C. Wong Education Foundation","award":["42150410393"],"award-info":[{"award-number":["42150410393"]}]},{"name":"K.C. Wong Education Foundation","award":["XDA20060303"],"award-info":[{"award-number":["XDA20060303"]}]},{"name":"K.C. Wong Education Foundation","award":["2021XJKK1044"],"award-info":[{"award-number":["2021XJKK1044"]}]},{"name":"K.C. Wong Education Foundation","award":["GJTD-2020-14"],"award-info":[{"award-number":["GJTD-2020-14"]}]},{"name":"K.C. Wong Education Foundation","award":["Y934031"],"award-info":[{"award-number":["Y934031"]}]},{"name":"CAS Research Center for Ecology and Environment of Central Asia","award":["42230708"],"award-info":[{"award-number":["42230708"]}]},{"name":"CAS Research Center for Ecology and Environment of Central Asia","award":["42150410393"],"award-info":[{"award-number":["42150410393"]}]},{"name":"CAS Research Center for Ecology and Environment of Central Asia","award":["XDA20060303"],"award-info":[{"award-number":["XDA20060303"]}]},{"name":"CAS Research Center for Ecology and Environment of Central Asia","award":["2021XJKK1044"],"award-info":[{"award-number":["2021XJKK1044"]}]},{"name":"CAS Research Center for Ecology and Environment of Central Asia","award":["GJTD-2020-14"],"award-info":[{"award-number":["GJTD-2020-14"]}]},{"name":"CAS Research Center for Ecology and Environment of Central Asia","award":["Y934031"],"award-info":[{"award-number":["Y934031"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Cryospheric and ecological studies become very complicated due to the absence of observed data, particularly in the mountainous regions of Central Asia. Performance analysis of Satellite-Based Precipitation Datasets (SBPD) is very critical before their direct hydro-climatic applications. This study assessed the ground validation of four SBPDs (IMERG, TRMM, PERSIANN-CDR, and PERSIANN-CSS). From January 2000 to December 2013, all SBPD data were analyzed on daily, monthly, seasonal (winter, spring, summer, autumn), and annual scales at the entire spatial domain and point-to-pixel scale. The performance of SBPD was analyzed by using evaluation indices (root mean square error (RMSE), correlation coefficient (CC), bias, and relative bias (r-Bias)) along with categorical indices (false alarm ratio (FAR), probability of detection (POD), success ratio (SR), and critical success index (CSI). Results revealed that: (1) IMERG\u2019s spatiotemporal tracking ability is better as compared to other datasets with appropriate ranges (CC &gt; 0.8 and r-BIAS (\u00b110)). The performance of all SBPDs is more capable on a monthly scale as compared to a daily scale. (2) In terms of POD, the IMERG outperformed all other SBPD on daily and seasonal scales. All SBPD showed underestimations in the summer season, and PERSIANN-CCS showed the most significant underestimation (\u221270). Moreover, the IMERG signposted the most satisfactory performance in all seasons. (3) All SBPD showed better performance in capturing the light precipitation events as indicated by the Probability Density Function (PDF%). Moreover, the performance of PERSIANN-CDR and TRMM is acceptable at low topography; the performance of PERSIANN-CCS is very poor in diverse topographical and climatic conditions over Tajikistan. Therefore, we advocate the use of daily, monthly, and seasonal estimations of IMERG precipitation product for hydro-climatic applications over the mountainous domain of Central Asia.<\/jats:p>","DOI":"10.3390\/rs15051420","type":"journal-article","created":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T01:43:00Z","timestamp":1677807780000},"page":"1420","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Performance Analysis of Precipitation Datasets at Multiple Spatio-Temporal Scales over Dense Gauge Network in Mountainous Domain of Tajikistan, Central Asia"],"prefix":"10.3390","volume":"15","author":[{"given":"Manuchekhr","family":"Gulakhmadov","sequence":"first","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Institute of Water Problems, Hydropower and Ecology of the National Academy of Sciences of Tajikistan, Dushanbe 734042, Tajikistan"},{"name":"Committee for Environmental Protection under the Government of the Republic of Tajikistan, Dushanbe 734034, Tajikistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2366-2491","authenticated-orcid":false,"given":"Aminjon","family":"Gulakhmadov","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"Institute of Water Problems, Hydropower and Ecology of the National Academy of Sciences of Tajikistan, Dushanbe 734042, Tajikistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8590-3708","authenticated-orcid":false,"given":"Muhammad Umer","family":"Nadeem","sequence":"additional","affiliation":[{"name":"Climate, Energy and Water Research Institute, National Agriculture Research Center, Islamabad 44000, Pakistan"},{"name":"Department of Land and Water Conservation Engineering, Faculty of Agricultural Engineering and Technology, PMAS-Arid Agriculture University, Rawalpindi 46000, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7061-1809","authenticated-orcid":false,"given":"Nekruz","family":"Gulahmadov","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6879-4818","authenticated-orcid":false,"given":"Tie","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"Research Center for Ecology and Environment of Central Asia, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1080\/10106049.2016.1206975","article-title":"Snow Cover Area Variability Assessment in the Upper Part of the Satluj River Basin in India","volume":"32","author":"Shukla","year":"2016","journal-title":"Geocarto Int."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1886","DOI":"10.3390\/atmos13111886","article-title":"De Evaluation of Atmospheric Features in Natural Disasters Due Frontal Systems over Southern 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