{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T00:09:58Z","timestamp":1775261398282,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T00:00:00Z","timestamp":1662508800000},"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":["41401612"],"award-info":[{"award-number":["41401612"]}],"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":["HRM201403"],"award-info":[{"award-number":["HRM201403"]}],"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":["XJDC202210300326"],"award-info":[{"award-number":["XJDC202210300326"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Meteorological Research Open Foundation of Huaihe Basin","award":["41401612"],"award-info":[{"award-number":["41401612"]}]},{"name":"Meteorological Research Open Foundation of Huaihe Basin","award":["HRM201403"],"award-info":[{"award-number":["HRM201403"]}]},{"name":"Meteorological Research Open Foundation of Huaihe Basin","award":["XJDC202210300326"],"award-info":[{"award-number":["XJDC202210300326"]}]},{"name":"College students innovation and entrepreneurship training program of NUDIT","award":["41401612"],"award-info":[{"award-number":["41401612"]}]},{"name":"College students innovation and entrepreneurship training program of NUDIT","award":["HRM201403"],"award-info":[{"award-number":["HRM201403"]}]},{"name":"College students innovation and entrepreneurship training program of NUDIT","award":["XJDC202210300326"],"award-info":[{"award-number":["XJDC202210300326"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks\u2013Climate Data Record (PERSIANN-CDR) was evaluated for the assessment of long-term drought monitoring in Huaihe River Basin using daily gauge observation data for the period from 1983 to 2017. The evaluation results show that the PERSIANN-CDR algorithm has a good detection ability for small precipitation events over the whole basin, but a poor ability for extreme precipitation events (&gt;50 mm\/day). Daily PERSIANN-CDR estimates perform relatively better in areas with abundant precipitation, while the monthly and yearly PERSIANN-CDR estimates are highly consistent with gauge observations both in magnitude and space. The Standardized Precipitation Index (SPI) at various time scales (3, 6, and 12 months) was calculated based on PERSIANN-CDR and gauge observation, respectively. Grid-based values of statistics derived from those SPI values demonstrate that PERSIANN-CDR has a good ability to capture drought events of each time scale across the basin. However, caution should be applied when using PERSIANN-CDR estimates for basin-scale drought trend analysis. Furthermore, three drought events with long duration and large extent were selected to test the applicability of PERSIANN-CDR in drought monitoring. The results show that it has a good ability to capture when and where droughts occur and how far they spread. Due to the overestimation of small precipitation events, PERSIANN-CDR tends to overestimate the number of extreme droughts and their extents. This needs to be considered in future algorithm improvement.<\/jats:p>","DOI":"10.3390\/rs14184460","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T04:18:32Z","timestamp":1662610712000},"page":"4460","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Evaluating the Applicability of PERSIANN-CDR Products in Drought Monitoring: A Case Study of Long-Term Droughts over Huaihe River Basin, China"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3014-7233","authenticated-orcid":false,"given":"Na","family":"Yang","sequence":"first","affiliation":[{"name":"Key Laboratory of Hydrometeorological Disaster Mechanism and Warning, Ministry of Water Resources\/School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Hydrometeorological Disaster Mechanism and Warning, Ministry of Water Resources\/School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Lu","sequence":"additional","affiliation":[{"name":"Meteorological Disasters Prevention Technique Centre of Fujian Province, Fuzhou 350001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1448-0119","authenticated-orcid":false,"given":"Yehui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Hydrometeorological Disaster Mechanism and Warning, Ministry of Water Resources\/School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunchuan","family":"Zheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Hydrometeorological Disaster Mechanism and Warning, Ministry of Water Resources\/School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing 210004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yang, J., Chen, Y., Su, Z., Li, B., Guo, H., and De Maeyer, P. 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