北京师范大学全球变化与地球系统科学研究院
北京师范大学全球变化与地球系统科学研究院
   
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Impact of geolocations of validation data on the evaluation of surface incident shortwave radiation from Earth System Models
 
Qian Ma1,2, Kaicun Wang1,2, and Martin Wild3
 
1State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China, 2Joint Center for Global Change Studies, Beijing, China, 3Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
 
Abstract
Ground-based observations of surface incident solar radiation (Rs) have been used to evaluate simulations of global climate models. Existing studies have shown that biases in simulated clouds have a significant spatial pattern, which may be transferred to the simulated Rs. Therefore, the evaluation results of Rs simulations may depend on the locations of the ground-based observations. In this study, Rs simulations of 48 models participating in the fifth phase of the Coupled Model Intercomparison Project (CMIP5) were first evaluated with ground-based observations from different networks (446 stations in total) from 2000 to 2005. The global mean biases of the CMIP5 Rs simulations were found to vary from 4.8 to 11.9Wm_2 when Rs observations from different networks were used as reference data. To reduce the location impact on the evaluation results, CMIP5 simulated Rs was then evaluated with the latest satellite Rs retrieval at 1° × 1° spatial resolution by the Clouds and the Earths Radiant Energy System, Energy Balanced and Filled (CERES EBAF). It was found that the CMIP5 simulated multimodel mean Rs has a small bias of 2.6Wm_2 compared with CERES EBAF over the globe, 4.7Wm_2 and 1.7Wm_2 over land and oceans, respectively. CERES EBAF Rs was found to have a positive bias of 1.3Wm_2 compared with ground-based observations. After removing this bias of CERES EBAF Rs, global mean Rs was estimated to be 185Wm_2.
PUBLISHED BYJ. Geophys. Res.Atmos., 120, 68256844, doi:10.1002/2014JD022572