Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky | |
Wang, Chunlei1,2; Tang, Bo-Hui1,2; Wu, Hua1,2; Tang, Ronglin1,2; Li, Zhao-Liang1,2,3 | |
刊名 | REMOTE SENSING |
2017-03-01 | |
卷号 | 9期号:3页码:19 |
关键词 | downwelling surface longwave radiation (DSLR) dust aerosol aerosol optical depth (AOD) MODIS |
ISSN号 | 2072-4292 |
DOI | 10.3390/rs9030207 |
通讯作者 | Tang, Bo-Hui(tangbh@igsnrr.ac.cn) |
英文摘要 | The variation of aerosols, especially dust aerosol, in time and space plays an important role in climate forcing studies. Aerosols can effectively reduce land surface longwave emission and re-emit energy at a colder temperature, which makes it difficult to estimate downwelling surface longwave radiation (DSLR) with satellite data. Using the latest atmospheric radiative transfer code (MODTRAN 5.0), we have simulated the outgoing longwave radiation (OLR) and DSLR under different land surface types and atmospheric profile conditions. The results show that dust aerosol has an obvious warming effect to longwave radiation compared with other aerosols; that aerosol longwave radiative forcing (ALRF) increased with the increasing of aerosol optical depth (AOD); and that the atmospheric water vapor content (WVC) is critical to the understanding of ALRF. A method is proposed to improve the accuracy of DSLR estimation from satellite data for the skies under heavy dust aerosols. The AOD and atmospheric WVC under cloud-free conditions with a relatively simple satellite-based radiation model yielding the high accurate DSLR under heavy dust aerosol are used explicitly as model input to reduce the effects of dust aerosol on the estimation of DSLR. Validations of the proposed model with satellites data and field measurements show that it can estimate the DSLR accurately under heavy dust aerosol skies. The root mean square errors (RMSEs) are 20.4 W/m(2) and 24.2 W/m(2) for Terra and Aqua satellites, respectively, at the Yingke site, and the biases are 2.7 W/m(2) and 9.6 W/m(2), respectively. For the Arvaikheer site, the RMSEs are 23.2 W/m(2) and 19.8 W/m(2) for Terra and Aqua, respectively, and the biases are 7.8 W/m(2) and 10.5 W/m(2), respectively. The proposed method is especially applicable to acquire relatively high accurate DSLR under heavy dust aerosol using MODIS data with available WVC and AOD data. |
资助项目 | National Key Research and Development Program of China[2016YFA0600103] ; National Natural Science Foundation of China[41571353] ; National Natural Science Foundation of China[41231170] ; Innovation Project of LREIS[O88RA801YA] |
WOS关键词 | URBAN COASTAL SITE ; MINERAL DUST ; SAHARAN DUST ; CERES OBSERVATIONS ; OPTICAL-PROPERTIES ; IBERIAN PENINSULA ; CLOUDY SKIES ; MODIS DATA ; DESERT ; MODEL |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
出版者 | MDPI AG |
WOS记录号 | WOS:000398720100021 |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Innovation Project of LREIS |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/64635] |
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, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Agr Sci, Key Lab Agriinformat, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Chunlei,Tang, Bo-Hui,Wu, Hua,et al. Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky[J]. REMOTE SENSING,2017,9(3):19. |
APA | Wang, Chunlei,Tang, Bo-Hui,Wu, Hua,Tang, Ronglin,&Li, Zhao-Liang.(2017).Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky.REMOTE SENSING,9(3),19. |
MLA | Wang, Chunlei,et al."Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky".REMOTE SENSING 9.3(2017):19. |
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