Surface temperature assimilation improving geostationary meteorological satellite surface-sensitive brightness temperature simulations over land

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2024-09-26 DOI:10.1016/j.atmosres.2024.107706
Xin Li , Xiaolei Zou , Mingjian Zeng , Xiaoyong Zhuge , Yang Wu , Ning Wang
{"title":"Surface temperature assimilation improving geostationary meteorological satellite surface-sensitive brightness temperature simulations over land","authors":"Xin Li ,&nbsp;Xiaolei Zou ,&nbsp;Mingjian Zeng ,&nbsp;Xiaoyong Zhuge ,&nbsp;Yang Wu ,&nbsp;Ning Wang","doi":"10.1016/j.atmosres.2024.107706","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores a possibility of improving Advanced Himawari Imager (AHI) surface-sensitive brightness temperature (TB) simulations over land by assimilating land surface temperature (LST) observations from the National Basic Meteorological Observing Stations of China. The Gridpoint Statistical Interpolation 3D-Var regional data assimilation (DA) system is modified to add LST as a new control variable and its background error variances, horizontal correlations and cross-correlations. The background covariances of LST with other control variables are calculated separately for daytime and nighttime samples in summer and winter seasons. A control experiment (ExpCTL) and three LST DA experiments with (ExpLST) and without (ExpLST_NBC) bias correction or with an average of LST within 2° × 2° grid boxes (ExpLST_SO) are conducted. Considering the fact that surface station observations are point measurements while the satellite TBs measure the total radiation effect of earth's surface within fields-of-view, a bias correction is found necessary for LST DA during daytimes (ExpLST). The biases are quantified by the differences from the Moderate-resolution Imaging Spectroradiometer LST retrievals to compensate for the representative differences. The analyzed fields are then used as input to the Community Radiative Transfer Model to simulate TBs of AHI surface-sensitive channels over land. A long-period statistics shows that ExpLST significantly reduces the observations minus simulations (O<img>B) biases and standard deviations of surface-sensitive TBs in terms of reducing the diurnal variations and season dependences of TB biases over different surface types, which also outperforms ExpLST_NBC and ExpLST_SO at daytime. This study suggests a potential benefit of combining the use of LST observations for assimilating surface-sensitive infrared TBs.</div></div>","PeriodicalId":8600,"journal":{"name":"Atmospheric Research","volume":"311 ","pages":"Article 107706"},"PeriodicalIF":4.5000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169809524004885","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

This study explores a possibility of improving Advanced Himawari Imager (AHI) surface-sensitive brightness temperature (TB) simulations over land by assimilating land surface temperature (LST) observations from the National Basic Meteorological Observing Stations of China. The Gridpoint Statistical Interpolation 3D-Var regional data assimilation (DA) system is modified to add LST as a new control variable and its background error variances, horizontal correlations and cross-correlations. The background covariances of LST with other control variables are calculated separately for daytime and nighttime samples in summer and winter seasons. A control experiment (ExpCTL) and three LST DA experiments with (ExpLST) and without (ExpLST_NBC) bias correction or with an average of LST within 2° × 2° grid boxes (ExpLST_SO) are conducted. Considering the fact that surface station observations are point measurements while the satellite TBs measure the total radiation effect of earth's surface within fields-of-view, a bias correction is found necessary for LST DA during daytimes (ExpLST). The biases are quantified by the differences from the Moderate-resolution Imaging Spectroradiometer LST retrievals to compensate for the representative differences. The analyzed fields are then used as input to the Community Radiative Transfer Model to simulate TBs of AHI surface-sensitive channels over land. A long-period statistics shows that ExpLST significantly reduces the observations minus simulations (OB) biases and standard deviations of surface-sensitive TBs in terms of reducing the diurnal variations and season dependences of TB biases over different surface types, which also outperforms ExpLST_NBC and ExpLST_SO at daytime. This study suggests a potential benefit of combining the use of LST observations for assimilating surface-sensitive infrared TBs.
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
地表温度同化改进地球静止气象卫星陆地表面敏感亮度温度模拟
本研究探讨了通过同化中国国家基本气象观测站的陆地表面温度(LST)观测资料来改进高级向日葵成像仪(AHI)陆地表面敏感亮度温度(TB)模拟的可能性。对网格点统计插值 3D-Var 区域数据同化(DA)系统进行了修改,增加了 LST 作为新的控制变量及其背景误差方差、水平相关性和交叉相关性。分别计算了夏季和冬季白天和夜间样本的 LST 与其他控制变量的背景协方差。进行了一次对照实验(ExpCTL)和三次 LST DA 实验,分别进行了(ExpLST)和(ExpLST_NBC)偏差校正,或对 2°×2° 网格框内的 LST 进行了平均(ExpLST_SO)。考虑到地面站观测是点测量,而卫星 TB 测量的是视场内地球表面的总辐射效应,因此有必要对白天的 LST DA 进行偏差校正(ExpLST)。偏差通过中分辨率成像分光仪 LST 检索的差异进行量化,以补偿代表性差异。然后,将分析后的场作为共同体辐射传输模式的输入,模拟陆地上 AHI 地表敏感信道的 TB。长周期统计结果表明,ExpLST 在减少不同地表类型 TB 偏差的昼夜变化和季节依赖性方面,显著降低了地表敏感 TB 的观测值减去模拟值(OB)偏差和标准偏差,在白天的表现也优于 ExpLST_NBC 和 ExpLST_SO。这项研究表明,结合使用 LST 观测来同化地表敏感红外 TBs 有潜在的好处。
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 去求助
来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
期刊最新文献
Impacts of climate trends on the heavy precipitation event associated with Typhoon Doksuri in Northern China Evaluating the ALADIN-climate model reanalysis over Central Europe Irrigation-induced decreases in reference evapotranspiration over the North China Plain Contrasting northward and southward propagations of intraseasonal precipitation under the southern China summer rainfall pattern Unparalleled EA-like leading mode of variability in the early 20th century highlights the need for understanding non-stationarity in the North Atlantic climate system
×
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