建立一致的多年代际海洋TRMM-GPM亮温数据记录

Ruiyao Chen, W. Linwood Jones
{"title":"建立一致的多年代际海洋TRMM-GPM亮温数据记录","authors":"Ruiyao Chen, W. Linwood Jones","doi":"10.1109/MICRORAD.2018.8430721","DOIUrl":null,"url":null,"abstract":"Intercalibrating the Tropical Rainfall Measurement Mission (TRMM) Microwave Imager (TMI) to the Global Precipitation Measuring (GPM) Microwave Imager (GMI) is necessary for generating a consistent multi-decadal brightness temperature (Tb) data record that covers TRMM and GPM eras. However, TMI and GMI share only a 13-month common operational period (2014-2015). Fortunately, the polarimetric radiometer WindSat launched in 2003, has been vetted to be well-calibration, and exceptional long-term radiometric stability between WindSat and TMI over >8-year period (2005–2014) has been exhibited. Therefore, WindSat can be used as the calibration bridge to achieve a seamless transfer between TMI and GMI Tb time series. In this paper, TMI will be first intercalibrated to GMI for their 13-month overlap period, and then intercalibrated to WindSat for their >12 years period (2003–2015). Thus, a multi-decadal oceanic Tb dataset will be created to ensure a consistent long-term precipitation record that covers TRMM and GPM eras. Moreover, to quantify the Tb uncertainty of this dataset, an uncertainty estimation model considering various sources of uncertainties will be applied to both intercalibration processes. These results will allow the further study in potential climate trends and changes in the variability.","PeriodicalId":423162,"journal":{"name":"2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"29 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Creating a Consistent Multi-Decadal Oceanic TRMM-GPM Brightness Temperature Data Record\",\"authors\":\"Ruiyao Chen, W. Linwood Jones\",\"doi\":\"10.1109/MICRORAD.2018.8430721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intercalibrating the Tropical Rainfall Measurement Mission (TRMM) Microwave Imager (TMI) to the Global Precipitation Measuring (GPM) Microwave Imager (GMI) is necessary for generating a consistent multi-decadal brightness temperature (Tb) data record that covers TRMM and GPM eras. However, TMI and GMI share only a 13-month common operational period (2014-2015). Fortunately, the polarimetric radiometer WindSat launched in 2003, has been vetted to be well-calibration, and exceptional long-term radiometric stability between WindSat and TMI over >8-year period (2005–2014) has been exhibited. Therefore, WindSat can be used as the calibration bridge to achieve a seamless transfer between TMI and GMI Tb time series. In this paper, TMI will be first intercalibrated to GMI for their 13-month overlap period, and then intercalibrated to WindSat for their >12 years period (2003–2015). Thus, a multi-decadal oceanic Tb dataset will be created to ensure a consistent long-term precipitation record that covers TRMM and GPM eras. Moreover, to quantify the Tb uncertainty of this dataset, an uncertainty estimation model considering various sources of uncertainties will be applied to both intercalibration processes. These results will allow the further study in potential climate trends and changes in the variability.\",\"PeriodicalId\":423162,\"journal\":{\"name\":\"2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)\",\"volume\":\"29 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICRORAD.2018.8430721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICRORAD.2018.8430721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

将热带降雨测量任务(TRMM)微波成像仪(TMI)与全球降水测量(GPM)微波成像仪(GMI)进行互标定,对于生成涵盖TRMM和GPM时代的一致的多年亮度温度(Tb)数据记录是必要的。然而,TMI和GMI只有13个月的共同运营期(2014-2015)。幸运的是,2003年发射的WindSat偏振辐射计已被证实具有良好的校准能力,并且在超过8年(2005-2014年)的时间里,WindSat和TMI之间表现出了特殊的长期辐射稳定性。因此,WindSat可以作为校准桥接,实现TMI和GMI Tb时间序列之间的无缝转换。在本文中,TMI将首先对GMI进行13个月重叠期的互校准,然后对WindSat进行>12年(2003-2015)的互校准。因此,将建立一个多年代际的海洋Tb数据集,以确保覆盖TRMM和GPM时代的一致的长期降水记录。此外,为了量化该数据集的Tb不确定性,将在两个互校准过程中应用考虑各种不确定性来源的不确定性估计模型。这些结果将有助于进一步研究潜在的气候趋势和变率的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Creating a Consistent Multi-Decadal Oceanic TRMM-GPM Brightness Temperature Data Record
Intercalibrating the Tropical Rainfall Measurement Mission (TRMM) Microwave Imager (TMI) to the Global Precipitation Measuring (GPM) Microwave Imager (GMI) is necessary for generating a consistent multi-decadal brightness temperature (Tb) data record that covers TRMM and GPM eras. However, TMI and GMI share only a 13-month common operational period (2014-2015). Fortunately, the polarimetric radiometer WindSat launched in 2003, has been vetted to be well-calibration, and exceptional long-term radiometric stability between WindSat and TMI over >8-year period (2005–2014) has been exhibited. Therefore, WindSat can be used as the calibration bridge to achieve a seamless transfer between TMI and GMI Tb time series. In this paper, TMI will be first intercalibrated to GMI for their 13-month overlap period, and then intercalibrated to WindSat for their >12 years period (2003–2015). Thus, a multi-decadal oceanic Tb dataset will be created to ensure a consistent long-term precipitation record that covers TRMM and GPM eras. Moreover, to quantify the Tb uncertainty of this dataset, an uncertainty estimation model considering various sources of uncertainties will be applied to both intercalibration processes. These results will allow the further study in potential climate trends and changes in the variability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Calibration of RapidScat Brightness Temperature Generic Simulator for Conical Scanning Microwave Radiometers Ultra-High Performance C & L-Band Radiometer System for Future Spaceborne Ocean Missions The Radio Frequency and Calibration Assembly for the MetOp Second Generation MicroWave Imager (MWI) Data Processing and Experimental Performance of GIMS-II (Geostationary Interferometric Microwave Sounder-Second Generation) Demonstrator
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1