Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data
文献类型：期刊论文
| 作者 | Zhang, Huanyu1,2; Tang, Bo-Hui1,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 60页码:13 |
| 关键词 | All-sky conditions data-driven Meteosat Second Generation (MSG) random forest (RF) spectral transformation surface upward longwave radiation (SULR) |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2022.3194085 |
| 通讯作者 | Tang, Bo-Hui(tangbh@kust.edu.cn) |
| 英文摘要 | Surface upward longwave radiation (SULR) is a key parameter that regulates surface radiation budget balance and matter-energy exchange. However, the state-of-the-art SULR retrieval methods based on remotely sensed data are only effective under clear skies, which mean that the existing methods are unable to generate spatiotemporal continuous SULR product at regional or global scale. Herein, taking the advantage of long-pending abundant ground-based radiation observations, satellite products, and meteorological reanalysis data, a data-driven random forest (RF) method is proposed to retrieve the instantaneous SULR under all-sky conditions. Based on spectral samples of different surface types and simulation results from the moderate resolution atmospheric transmission (MODTRAN), spectral transformation is carried out to transform SULR of various measured domains into the defined 4-100 mu m domain at first. SULR and surface downward shortwave radiation (SDSR) observations from seven stations of the surface radiation budget network (SURFRAD) and nine stations of the baseline surface radiation network (BSRN) are used in model's training and testing procedures, and the RF model achieves a high accuracy with the root-mean-square error (RMSE) of 10.45 W/m(2) on test set. In model evaluation, ground measurements from 14 stations of FLUXNET have been used, and the overall RMSE is 18.40 W/m(2). In the actual application process, SDSR is estimated by remotely sensed data of Meteosat Second Generation (MSG). The accuracy of RF model has been validated with the observations from five stations of BSRN in 2021, and RMSEs are 17.00, 10.94, 12.17, 27.89, and 12.54 W/m(2), respectively. Validation result shows that the data-driven method is capable of estimating SULR under all-sky conditions with a high accuracy. Finally, sensitivity analysis has been carried out, and the established RF model keeps robust even though there are great uncertainties among input parameters. |
| WOS关键词 | CLOUD ; VALIDATION ; SPECTRUM ; MODIS |
| 资助项目 | National Natural Science Foundation of China[41871244] ; Platform Construction Project of High Level Talent in the Kunming University of Science and Technology (KUST) |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000838672300002 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Platform Construction Project of High Level Talent in the Kunming University of Science and Technology (KUST) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166686]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Tang, Bo-Hui |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Huanyu,Tang, Bo-Hui. Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:13. |
| APA | Zhang, Huanyu,&Tang, Bo-Hui.(2022).Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,13. |
| MLA | Zhang, Huanyu,et al."Retrieval of Daytime Surface Upward Longwave Radiation Under All-Sky Conditions With Remote Sensing and Meteorological Reanalysis Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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