DOI: 10.1002/2017JD027903
Scopus记录号: 2-s2.0-85042123327
论文题名: Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis
作者: Jia A. ; Liang S. ; Jiang B. ; Zhang X. ; Wang G.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 4 起始页码: 1970
结束页码: 1989
语种: 英语
英文关键词: assessment
; CERES
; global products
; net radiation
; uncertainty analysis
Scopus关键词: land surface
; model validation
; net radiation
; optical method
; radiation budget
; remote sensing
; satellite data
; temporal analysis
; time series analysis
; timescale
; uncertainty analysis
英文摘要: Earth surface net radiation (Rn) characterizes the surface radiation budget and plays a critical role in ecological, biogeochemical, and hydrological processes. The Rn products from remote sensing and reanalysis have not been validated comprehensively. In this study, four Rn products (Clouds and the Earth's Radiant Energy System [CERES], ERA-Interim, Modern-Era Retrospective analysis for Research and Applications version 2, and Japanese 55-year Reanalysis) were validated using global ground measurements on monthly (255 sites) and annual (172 sites) timescales. These products have similar accuracies, with average root-mean-square error (RMSE) ranges of 5.35 W m−2 (monthly) and 2.30 W m−2 (annually). However, varying accuracies and systemic biases exist across different climatic zones. The annual land Rn intercomparison illustrates that large uncertainty exists over polar regions and deserts. A significantly negative annual anomaly in the CERES product for the 2001–2008 period is identified when examining annual Rn anomalies over the global land surface. Detailed uncertainty analysis indicates that the global CERES Rn anomaly is mainly due to different versions of input data such as aerosol optical thickness and atmospheric profiles (in 2006 and 2008) and cloud properties (in 2002). This work demonstrates that temporal analysis provides powerful quality control for global time series satellite products when the validation using ground measurements fails to capture potential issues. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114433
Appears in Collections: 气候减缓与适应
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作者单位: State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Department of Geographical Sciences, University of Maryland, College Park, MD, United States
Recommended Citation:
Jia A.,Liang S.,Jiang B.,et al. Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(4)