Retrieving All-Day Surface Downwelling Longwave Radiation Under Cloudy-Sky Conditions Using FengYun-4A Geostationary Satellite Data
文献类型：期刊论文
| 作者 | Jiang, Yun2; Tang, Bo-Hui1,3; Li, Yingyun1; Si, Menglin2; Chen, Zhi4 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 63页码:5009512 |
| 关键词 | Clouds Cloud computing Estimation Atmospheric measurements Temperature measurement Land surface Land surface temperature Atmospheric modeling Temperature distribution Accuracy All-day cloudy sky fengyun-4A (FY-4A) surface dowelling longwave radiation |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2025.3633758 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | All-day surface downwelling longwave radiation (SDLR) is essential for studying surface radiation balance and the greenhouse effect. However, estimating SDLR under cloudy-sky conditions poses significant challenges due to the reliance on accurate cloud parameter acquisition. Most existing satellite-based algorithms for cloudy-sky SDLR retrieval are limited to daytime operations, as passive satellites are unable to provide critical data, such as cloud optical thickness, during night-time data that are crucial for estimating cloud base parameters. This study introduces an all-day SDLR retrieval algorithm based on cloud top temperature (CTT) and constructs a cloud impact factor based on cloud top height (CTH) to regulate the radiative forcing contribution of clouds. The newly established algorithm was validated using ground-based measurements from atmospheric radiation measurement (ARM) sites. Compared to algorithms that directly utilize CTT, the new approach incorporating the cloud impact factor demonstrated higher accuracy, with a bias of -1.32 W/m(2) and an RMSE of 17.75 W/m(2). Subsequently, datasets from the FengYun-4A (FY-4A) geostationary satellite were employed to retrieve all-day cloudy-sky SDLR with hourly resolution. Verification against baseline surface radiation network (BSRN) site measurements revealed a bias of 9.04 W/m and an RMSE of 28.30 W/m(2). Compared to previous retrieval schemes that rely on cloud base parameters, the newly proposed algorithm can estimate all-day cloudy-sky SDLR using only cloud top parameters. This reduces the reliance on cloud-base parameters, facilitating a broader application of the algorithm. |
| URL标识 | 查看原文 |
| WOS关键词 | DOWNWARD RADIATION ; THERMAL-RADIATION ; CLEAR ; PARAMETERIZATION ; FLUXES ; SKIES ; MODIS |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001626679400008 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219504]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Tang, Bo-Hui |
| 作者单位 | 1.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China; 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Key Lab Plateau Remote Sensing, Dept Educ Yunnan Prov, Kunming 650093, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Yun,Tang, Bo-Hui,Li, Yingyun,et al. Retrieving All-Day Surface Downwelling Longwave Radiation Under Cloudy-Sky Conditions Using FengYun-4A Geostationary Satellite Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:5009512. |
| APA | Jiang, Yun,Tang, Bo-Hui,Li, Yingyun,Si, Menglin,&Chen, Zhi.(2025).Retrieving All-Day Surface Downwelling Longwave Radiation Under Cloudy-Sky Conditions Using FengYun-4A Geostationary Satellite Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,5009512. |
| MLA | Jiang, Yun,et al."Retrieving All-Day Surface Downwelling Longwave Radiation Under Cloudy-Sky Conditions Using FengYun-4A Geostationary Satellite Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):5009512. |
入库方式： OAI收割
来源：地理科学与资源研究所
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