{"title":"多卫星全球降水卫星测绘(GSMaP) -设计和产品-","authors":"T. Ushio, T. Mega, T. Kubota","doi":"10.23919/URSIAP-RASC.2019.8738594","DOIUrl":null,"url":null,"abstract":"Estimation of the global distribution of precipitation with high accuracy and resolution has long been one of the major scientific goals. Precipitation map on a global basis is important for modeling of the water cycle, maintaining the ecosystem environment, agricultural production, improvements of weather forecast precision, flood warning, and so on. GSMaP (Global Satellite Mapping of Precipitation) is a project aiming (1) to produce high-precision and high-resolution global precipitation map using satellite-borne microwave radiometer data, (2) to develop reliable microwave radiometer algorithms, and (3) to establish precipitation map techniques using multi-satellite data for GPM.","PeriodicalId":344386,"journal":{"name":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Multi-satellite Global Satellite Mapping of Precipitation (GSMaP) - Design and Products -\",\"authors\":\"T. Ushio, T. Mega, T. Kubota\",\"doi\":\"10.23919/URSIAP-RASC.2019.8738594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimation of the global distribution of precipitation with high accuracy and resolution has long been one of the major scientific goals. Precipitation map on a global basis is important for modeling of the water cycle, maintaining the ecosystem environment, agricultural production, improvements of weather forecast precision, flood warning, and so on. GSMaP (Global Satellite Mapping of Precipitation) is a project aiming (1) to produce high-precision and high-resolution global precipitation map using satellite-borne microwave radiometer data, (2) to develop reliable microwave radiometer algorithms, and (3) to establish precipitation map techniques using multi-satellite data for GPM.\",\"PeriodicalId\":344386,\"journal\":{\"name\":\"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)\",\"volume\":\"2016 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIAP-RASC.2019.8738594\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIAP-RASC.2019.8738594","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
高精度、高分辨率地估计全球降水分布一直是科学研究的主要目标之一。全球降水图对水循环建模、生态环境维护、农业生产、提高天气预报精度、洪水预警等具有重要意义。GSMaP (Global Satellite Mapping of Precipitation,全球卫星降水测绘)项目旨在:(1)利用星载微波辐射计数据制作高精度、高分辨率的全球降水地图,(2)开发可靠的微波辐射计算法,(3)利用多卫星数据建立全球降水地图技术。
Multi-satellite Global Satellite Mapping of Precipitation (GSMaP) - Design and Products -
Estimation of the global distribution of precipitation with high accuracy and resolution has long been one of the major scientific goals. Precipitation map on a global basis is important for modeling of the water cycle, maintaining the ecosystem environment, agricultural production, improvements of weather forecast precision, flood warning, and so on. GSMaP (Global Satellite Mapping of Precipitation) is a project aiming (1) to produce high-precision and high-resolution global precipitation map using satellite-borne microwave radiometer data, (2) to develop reliable microwave radiometer algorithms, and (3) to establish precipitation map techniques using multi-satellite data for GPM.