干旱区生态环境知识资源中心(Arid): Global validation of clear-sky models for retrieving land-surface downward longwave radiation from MODIS data

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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
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).