Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis
Abstract
Abstract Earth surface net radiation ( R n ) characterizes the surface radiation budget and plays a critical role in ecological, biogeochemical, and hydrological processes. The R n products from remote sensing and reanalysis have not been validated comprehensively. In this study, four R n 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 R n 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 R n anomalies over the global land surface. Detailed uncertainty analysis indicates that the global CERES R n anomaly is mainly due to different versions of input data such as aerosol optical thickness and atmospheric profiles (in 2006 and 2008) andmore »
- Authors:
-
[1];
[2];
- 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 USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1421772
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Name: Journal of Geophysical Research: Atmospheres Journal Volume: 123 Journal Issue: 4; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Jia, Aolin, Liang, Shunlin, Jiang, Bo, Zhang, Xiaotong, and Wang, Guoxin. Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis. United States: N. p., 2018.
Web. doi:10.1002/2017JD027903.
Jia, Aolin, Liang, Shunlin, Jiang, Bo, Zhang, Xiaotong, & Wang, Guoxin. Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis. United States. https://doi.org/10.1002/2017JD027903
Jia, Aolin, Liang, Shunlin, Jiang, Bo, Zhang, Xiaotong, and Wang, Guoxin. Sun .
"Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis". United States. https://doi.org/10.1002/2017JD027903.
@article{osti_1421772,
title = {Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis},
author = {Jia, Aolin and Liang, Shunlin and Jiang, Bo and Zhang, Xiaotong and Wang, Guoxin},
abstractNote = {Abstract Earth surface net radiation ( R n ) characterizes the surface radiation budget and plays a critical role in ecological, biogeochemical, and hydrological processes. The R n products from remote sensing and reanalysis have not been validated comprehensively. In this study, four R n 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 R n 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 R n anomalies over the global land surface. Detailed uncertainty analysis indicates that the global CERES R n 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.},
doi = {10.1002/2017JD027903},
journal = {Journal of Geophysical Research: Atmospheres},
number = 4,
volume = 123,
place = {United States},
year = {Sun Feb 18 00:00:00 EST 2018},
month = {Sun Feb 18 00:00:00 EST 2018}
}
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