{"title":"风云三号卫星微波综合干旱指数全球近实时数据集","authors":"Anzhi Zhang, Hao Gao, Ronghan Xu, Xiaoqing Li, Huichen Zhao, Gensuo Jia","doi":"10.1038/s41597-025-04935-8","DOIUrl":null,"url":null,"abstract":"<p><p>Droughts have become more frequent and intense with increasing climate warming, posing widespread risks on ecosystem, agricultural, and water resources, therefore effective and timely drought monitoring is critical to drought assessment, management, and mitigation. Here, we presented a global monthly and ten-day drought dataset of the Fengyun-3 Microwave Integrated Drought Index (FY-3 MIDI) by integrating the inconsistency corrected FY-3B/C/D derived microwave precipitation, soil moisture, and land surface temperature with optimal weights from June 2014 to present. The dataset was evaluated and validated against the Standardized Precipitation Evapotranspiration Index, the Self-calibrating Palmer Drought Severity Index, and the non-FY MIDI at 0.25°. The FY-3 MIDI can effectively observe drought condition and characteristics as captured by the reference datasets, and it was reliable in monitoring meteorological drought with the ability to work in all-weather condition. Based on the operational Fengyun-3 series satellite, it provided valuable operational service in near real-time on a monthly and ten-day time scale, guaranteeing present and future continuous applications to support global and regional drought monitoring and assessment.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"583"},"PeriodicalIF":5.8000,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A global near real-time dataset of Microwave Integrated Drought Index from the Fengyun-3 satellites.\",\"authors\":\"Anzhi Zhang, Hao Gao, Ronghan Xu, Xiaoqing Li, Huichen Zhao, Gensuo Jia\",\"doi\":\"10.1038/s41597-025-04935-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Droughts have become more frequent and intense with increasing climate warming, posing widespread risks on ecosystem, agricultural, and water resources, therefore effective and timely drought monitoring is critical to drought assessment, management, and mitigation. Here, we presented a global monthly and ten-day drought dataset of the Fengyun-3 Microwave Integrated Drought Index (FY-3 MIDI) by integrating the inconsistency corrected FY-3B/C/D derived microwave precipitation, soil moisture, and land surface temperature with optimal weights from June 2014 to present. The dataset was evaluated and validated against the Standardized Precipitation Evapotranspiration Index, the Self-calibrating Palmer Drought Severity Index, and the non-FY MIDI at 0.25°. The FY-3 MIDI can effectively observe drought condition and characteristics as captured by the reference datasets, and it was reliable in monitoring meteorological drought with the ability to work in all-weather condition. Based on the operational Fengyun-3 series satellite, it provided valuable operational service in near real-time on a monthly and ten-day time scale, guaranteeing present and future continuous applications to support global and regional drought monitoring and assessment.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"583\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-04935-8\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-04935-8","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
A global near real-time dataset of Microwave Integrated Drought Index from the Fengyun-3 satellites.
Droughts have become more frequent and intense with increasing climate warming, posing widespread risks on ecosystem, agricultural, and water resources, therefore effective and timely drought monitoring is critical to drought assessment, management, and mitigation. Here, we presented a global monthly and ten-day drought dataset of the Fengyun-3 Microwave Integrated Drought Index (FY-3 MIDI) by integrating the inconsistency corrected FY-3B/C/D derived microwave precipitation, soil moisture, and land surface temperature with optimal weights from June 2014 to present. The dataset was evaluated and validated against the Standardized Precipitation Evapotranspiration Index, the Self-calibrating Palmer Drought Severity Index, and the non-FY MIDI at 0.25°. The FY-3 MIDI can effectively observe drought condition and characteristics as captured by the reference datasets, and it was reliable in monitoring meteorological drought with the ability to work in all-weather condition. Based on the operational Fengyun-3 series satellite, it provided valuable operational service in near real-time on a monthly and ten-day time scale, guaranteeing present and future continuous applications to support global and regional drought monitoring and assessment.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.