A Direct Method for the Estimation of Top-of-Atmosphere Outgoing Longwave Radiation from Himawari-8/AHI Data
文献类型:期刊论文
作者 | Zhan, Chuan1; Jiang, Yazhen2; Chen, Yong1; Miao, Zuohua1; Zeng, Xiangyang1; Li, Jun1 |
刊名 | REMOTE SENSING
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出版日期 | 2022-11-01 |
卷号 | 14期号:22页码:7 |
关键词 | outgoing longwave radiation AHI CERES machine learning earth's energy budget |
DOI | 10.3390/rs14225696 |
通讯作者 | Jiang, Yazhen(jiangyz@lreis.ac.cn) |
英文摘要 | Top-of-atmosphere (TOA) outgoing longwave radiation (OLR), a key component of the Earth's energy budget, serves as a diagnostic of the Earth's climate system response to incoming solar radiation. However, existing products are typically estimated using the traditional two-step method, which may bring extra uncertainties. This paper presents a direct machine learning method to estimate TOA OLR by directly linking Himawari-8/Advanced Himawari Imager (AHI) TOA radiances with TOA OLR determined by Clouds and the Earth's Radiant Energy System (CERES) and other information, such as the viewing geometry. Models are built separately under clear- and cloudy-sky conditions using a gradient-boosting regression tree. Independent test results show that the root mean square errors (RMSEs) of the clear-sky and cloudy-sky models for estimating instantaneous values are 7.46 W/m(2) (3.0%) and 11.61 W/m(2) (5.8%), respectively. Daily results are obtained by averaging all the instantaneous results in one day. Intercomparisons of the daily results with CERES TOA OLR data show that the RMSE of the estimated AHI OLR is similar to 6 W/m(2) (3%). The developed high-resolution AHI TOA OLR dataset will be beneficial in analyzing the regional energy budget. |
WOS关键词 | ALBEDO ; RETRIEVAL ; OLR |
资助项目 | National Natural Science Foundation of China[42001306] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000887619900001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/187351] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Jiang, Yazhen |
作者单位 | 1.Wuhan Univ Sci & Technol, Sch Resources & Environm Engn, Wuhan 430081, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Zhan, Chuan,Jiang, Yazhen,Chen, Yong,et al. A Direct Method for the Estimation of Top-of-Atmosphere Outgoing Longwave Radiation from Himawari-8/AHI Data[J]. REMOTE SENSING,2022,14(22):7. |
APA | Zhan, Chuan,Jiang, Yazhen,Chen, Yong,Miao, Zuohua,Zeng, Xiangyang,&Li, Jun.(2022).A Direct Method for the Estimation of Top-of-Atmosphere Outgoing Longwave Radiation from Himawari-8/AHI Data.REMOTE SENSING,14(22),7. |
MLA | Zhan, Chuan,et al."A Direct Method for the Estimation of Top-of-Atmosphere Outgoing Longwave Radiation from Himawari-8/AHI Data".REMOTE SENSING 14.22(2022):7. |
入库方式: OAI收割
来源:地理科学与资源研究所
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