Rainfall Estimation From Combined Microwave And Infrared Satellite Observations

L. Giglio, C. Kummerow
{"title":"Rainfall Estimation From Combined Microwave And Infrared Satellite Observations","authors":"L. Giglio, C. Kummerow","doi":"10.1109/COMEAS.1993.700170","DOIUrl":null,"url":null,"abstract":"Introduction Rainfall retrievals from passive microwave instruments are capable of producing very accurate instantaneous rainfall estimates. They suffer, however, from the poor sampling available from polar orbiting spacecraft. The current microwave sensor on board the DMSP spacecraft observes a point near the equator approximately 26 times per month. Of these 26 overpasses, it senses precipitation an average of only 10% of the time. With this in mind, it is not surprising that large errors in monthly rain estimates are possible even though the retrievals appear very accurate at the time of overpass. In this paper we discuss a technique for calibrating the less correlated, but far more frequent infrared observations from geostationary platforms with passive microwave observations. Examples over Darwin, Australia and the western Pacific are used to illustrate the merits of such a technique.","PeriodicalId":379014,"journal":{"name":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Topical Symposium on Combined Optical, Microwave, Earth and Atmosphere Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMEAS.1993.700170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction Rainfall retrievals from passive microwave instruments are capable of producing very accurate instantaneous rainfall estimates. They suffer, however, from the poor sampling available from polar orbiting spacecraft. The current microwave sensor on board the DMSP spacecraft observes a point near the equator approximately 26 times per month. Of these 26 overpasses, it senses precipitation an average of only 10% of the time. With this in mind, it is not surprising that large errors in monthly rain estimates are possible even though the retrievals appear very accurate at the time of overpass. In this paper we discuss a technique for calibrating the less correlated, but far more frequent infrared observations from geostationary platforms with passive microwave observations. Examples over Darwin, Australia and the western Pacific are used to illustrate the merits of such a technique.
微波和红外卫星联合观测的降水估算
从被动微波仪器中获取降雨量能够产生非常精确的瞬时降雨量估计。然而,它们受到极地轨道航天器的糟糕采样的影响。目前,DMSP航天器上的微波传感器每月大约对赤道附近的一个点进行26次观测。在这26座立交桥中,平均只有10%的时间能感觉到降水。考虑到这一点,即使在立交桥时检索结果看起来非常准确,月降雨量估计也可能出现较大误差也就不足为奇了。在本文中,我们讨论了一种用被动微波观测校准地球静止平台上相关性较低但频率更高的红外观测的技术。达尔文、澳大利亚和西太平洋上空的例子说明了这种技术的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信