气候变化领域集成服务门户(CCPortal): A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters

CCPortal

DOI	10.1016/j.rse.2020.111972
	A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters
	Yang F.; Cheng J.
发表日期	2020
ISSN	00344257
卷号	248
英文摘要	The cloud-base temperature (CBT) is one of the parameters that dominates the cloudy sky surface downward longwave radiation (SDLR). However, CBT is rarely available at regional and global scales, and its application in estimating cloud sky SDLR is limited. In this study, a framework to globally estimate cloud sky SDLR during both daytime and nighttime is proposed. This framework is composed of three parts. First, a global cloudy property database was constructed by combing the extracted cloud vertical structure (CVS) parameters from the active CloudSat data and cloud properties from passive MODIS data. Second, the empirical methods for estimating cloud thickness (CT) under ISCCP cloud classification system and MODIS cloud classification system were developed. Additionally, the coefficients of CERES CT estimate models were refitted using the constructed cloud property database. With the estimated CT and reanalysis data, calculating the CBT is straightforward. The accuracy of the estimated CT for ISCCP cloud type is compared with the existing studies that were conducted at local scales. Our CT estimate accuracy is comparable to that of the existing studies. According to the validation results at ARM NSA and SGP stations, the CT estimated by the developed CT model for MODIS cloud type is better than that estimated by the original CERES CT model. Finally, the cloudy sky SDLR values were derived by feeding the estimated CBT and other parameters to the single-layer cloud model (SLCM). When validated by the ground measured SDLR collected from the SURFRAD network, the bias and RMSE are 5.42 W∙m−2 and 30.3 W∙m−2, respectively. This accuracy is comparable to the evaluation results of the mainstream SDLR products (Gui et al. 2010), the new evaluation results of SLCMs (Yu et al. 2018), and the accuracy of a new cloudy sky SDLR estimate method (Wang et al. 2018). All the derived CBTs improve the SDLR estimate accuracy more than the SLCM that directly uses cloud-top temperature (CTT). We will collect more ground measurements and continue to validate the developed framework in the future. © 2020 Elsevier Inc.
英文关键词	Cloud thickness; Cloud-base temperature; Cloud-top temperature; Remote sensing; Single-layer cloud model; Surface downward longwave radiation
语种	英语
scopus关键词	Radiometers; Cloud classification systems; Cloud vertical structure; Cloud-top temperatures; Estimate accuracy; Evaluation results; Ground measurements; Long-wave radiation; Validation results; Parameter estimation; air temperature; cloud classification; cloud cover; empirical analysis; longwave radiation; MODIS; parameterization; remote sensing; Citrus maxima
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179204
作者单位	State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing, 100875, China; Institute of Remote Sensing Science and Engineering, Beijing Normal University, Beijing, 100875, China
推荐引用方式 GB/T 7714	Yang F.,Cheng J.. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters[J],2020,248.
APA	Yang F.,&Cheng J..(2020).A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters.Remote Sensing of Environment,248.
MLA	Yang F.,et al."A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters".Remote Sensing of Environment 248(2020).