Estimation of Net Surface Shortwave Radiation From Remotely Sensed Data Under Dust Aerosol Conditions
文献类型：期刊论文
| 作者 | Sun, Yuhan1,2; Tang, Bo-Hui1,2,3
|
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2021 |
| 卷号 | 9页码:52718-52727 |
| 关键词 | Aerosols Atmospheric modeling MODIS Land surface Surface morphology Satellites Clouds Net surface shortwave radiation dust aerosol conditions net shortwave radiative forcing of aerosol MODIS estimation |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2021.3069791 |
| 通讯作者 | Tang, Bo-Hui(tangbh@igsnrr.ac.cn) |
| 英文摘要 | Due to the complexity and heterogeneity mechanism of aerosol scattering and absorption, there is no systematic operational net surface shortwave radiation (NSSR) retrieval algorithm for considering the forces of different aerosols. This study is to estimate NSSR under dust aerosol conditions. A parameterized model is proposed to quantify the net shortwave radiative forcing (ASRF) of aerosol. Considering the particularity of dust aerosol on shortwave radiation and its mechanisms, aerosol optical properties and atmospheric water vapor content (WVC) are used to quantify the ASRF, and the previous Tang's parameterization model for estimating NSSR is refined to estimate NSSR under dust aerosol conditions. On this basis, a more accurate radiative transfer model MODTRAN 5 is primitively utilized to simulate and fit the complex relationship. Moreover, the coefficients for parameterization are recalculated by an improved algorithm under diverse types of aerosols. Finally, the NSSR measurements in the study areas and the NSSR products from the MODIS satellites are utilized to verify the retrieved NSSR. The root-mean-square error (RMSE) is below 11 W/m(2) under various land cover types and the research findings can significantly increase the estimation accuracy of NSSR around 40 W/m(2) under dust aerosol conditions. |
| 资助项目 | National Natural Science Foundation of China[41871244] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000639861900001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161944]  |
| 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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, 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 3.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Yuhan,Tang, Bo-Hui. Estimation of Net Surface Shortwave Radiation From Remotely Sensed Data Under Dust Aerosol Conditions[J]. IEEE ACCESS,2021,9:52718-52727. |
| APA | Sun, Yuhan,&Tang, Bo-Hui.(2021).Estimation of Net Surface Shortwave Radiation From Remotely Sensed Data Under Dust Aerosol Conditions.IEEE ACCESS,9,52718-52727. |
| MLA | Sun, Yuhan,et al."Estimation of Net Surface Shortwave Radiation From Remotely Sensed Data Under Dust Aerosol Conditions".IEEE ACCESS 9(2021):52718-52727. |
入库方式： OAI收割
来源：地理科学与资源研究所
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