Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.rse.2022.112903 |
Global validation of clear-sky models for retrieving land-surface downward longwave radiation from MODIS data | |
Jiao, Zhong-Hu; Mu, Xihan | |
通讯作者 | Jiao, ZH (corresponding author),China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China. |
来源期刊 | REMOTE SENSING OF ENVIRONMENT
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ISSN | 0034-4257 |
EISSN | 1879-0704 |
出版年 | 2022 |
卷号 | 271 |
英文摘要 | Surface longwave radiation (SLR) plays an important role in the energy budget of the Earth's climate system. Remote sensing provides various data sources to retrieve SLR on a large scale and with high spatial resolution (e. g., 1 km). Multiple retrieval methods of surface downward longwave radiation (SDLR) based on satellite thermal infrared data produce different retrieval results for the same scenario. Therefore, validating these models is necessary to understand their characteristics and limitations. To this end, ground-based measurements were used to provide independent validation of six widely used SDLR models for clear sky conditions over 41 Baseline Surface Radiation Network (BSRN) stations worldwide. The Wang2020 model had the best overall performance (bias of similar to 5.480 W/m(2), root-mean-square errors [RMSE] of 23.226 W/m(2), R-2 of 0.879), and Tang2008 model had similar retrieval capability. The errors of LST had limited influence on the retrieval accuracy of SDLR models. When using the near-surface air temperature, the retrieval accuracy of the Zhou2007 model was significantly improved with a range of similar to 9.5 W/m(2) for the RMSE. The uncertainty of TCWV had significant effect on all model performances, wherein the Zhou2007 model had stronger error resilience of TCWV. Moreover, MODIS TIR TCWV data provided better performance than NIR TCWV in most situations, and thereby are preferred to use in the SDLR retrieval. Surface altitude had a lesser impact on SDLR retrieval than terrain effects. All models overestimated SDLR for peak stations in mountainous areas, with biases reaching 56.614 W/m(2) and RMSE reaching 63.909 W/m(2). Land cover type also had a significant effect on retrieval accuracy; model performances were poorer in the desert and barren where atmospheric conditions are extremely dry and hot. Remote sensing SDLR data with high accuracy are needed for hydrological, agricultural, and climate change applications. The results of this study provide a reference for the SDLR retrieval accuracy based on clear-sky models. |
英文关键词 | Surface downward longwave radiation (SDLR) Ground validation Clear-sky SDLR modeling Thermal infrared remote sensing Moderate resolution imaging spectroradiometer (MODIS) |
类型 | Article |
语种 | 英语 |
开放获取类型 | hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:000759874700001 |
WOS关键词 | WATER-VAPOR ; SATELLITE ; TEMPERATURE ; PARAMETERIZATION ; EMISSIVITY ; PRODUCTS ; IRRADIANCE ; BAND |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/376213 |
作者单位 | [Jiao, Zhong-Hu] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China; [Mu, Xihan] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Jiao, Zhong-Hu,Mu, Xihan. Global validation of clear-sky models for retrieving land-surface downward longwave radiation from MODIS data[J],2022,271. |
APA | Jiao, Zhong-Hu,&Mu, Xihan.(2022).Global validation of clear-sky models for retrieving land-surface downward longwave radiation from MODIS data.REMOTE SENSING OF ENVIRONMENT,271. |
MLA | Jiao, Zhong-Hu,et al."Global validation of clear-sky models for retrieving land-surface downward longwave radiation from MODIS data".REMOTE SENSING OF ENVIRONMENT 271(2022). |
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