Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis

Journal of Geophysical Research D: Atmospheres - Tập 123 Số 4 - Trang 1970-1989 - 2018
Aolin Jia1, Shunlin Liang2, Bo Jiang1, Xiaotong Zhang1, Guoxin Wang1
1State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China
2Department of Geographical Sciences, University of Maryland, College Park, MD, USA

Tóm tắt

AbstractEarth 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.

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Tài liệu tham khảo

10.1029/1999GL010910

10.1029/2010GL046333

Chou M. D. &Suarez M. J.(1999).A solar radiation parameterization for atmospheric studies NASA TM‐104606(NASA Technical Memorandum 104606 vol. 15 40 pp.).

10.1038/nature03365

10.1029/JD092iD01p01009

10.1175/JCLI-D-11-00004.1

10.1002/qj.828

10.1175/JTECH-D-12-00136.1

10.1029/2009JD013635

10.1175/2010JAMC2463.1

10.1175/1520-0442(1999)012<2691:ACOSRB>2.0.CO;2

10.1016/j.jhydrol.2007.01.043

10.1093/sysbio/42.2.182

10.1029/2008JD011004

10.3390/rs8020090

10.3390/rs8030222

10.1016/j.agrformet.2015.05.003

10.3390/rs61111031

10.1016/j.ecolmodel.2011.12.027

10.1175/1520-0469(1976)033<2452:TDEAFR>2.0.CO;2

10.1175/JCLI-D-12-00436.1

10.1007/s10712-012-9179-x

10.2151/jmsj.2015-001

10.1029/2007JD008479

Liang S., 2004, Quantitative remote sensing of land surfaces

10.1109/JSTARS.2010.2048556

10.1007/978-3-319-02588-9

10.1080/17538947.2013.805262

10.1029/2008JD009869

10.1038/nature07949

10.1109/TGRS.2011.2144602

10.1109/TGRS.2011.2144601

10.1029/97JD00237

10.1364/AO.32.002171

10.3390/rs70404899

10.5194/hessd-4-439-2007

10.1126/science.1064034

10.1175/JCLI-D-11-00015.1

Roesch A., 2011, Corrigendum to "assessment of BSRN radiation records for the computation of monthly means" published in Atmos. Meas. Tech., 4, 339–354, 2011, Atmospheric Measurement Techniques Discussions, 4, 975

10.1175/JTECH-D-12-00058.1

10.1002/jgrd.50720

10.1175/1525-7541(2004)005<0774:ASSODN>2.0.CO;2

10.1029/2001JD900161

Suarex M. J., 1994, An efficient thermal infrared radiation parameterization for use in general circulation models, 102

10.1175/2009JCLI3152.1

10.1088/1748-9326/4/4/045008

10.3390/rs8090739

10.1175/2008JCLI2213.1

10.1002/rog.20009

10.1111/j.1600-0870.2008.00342.x

10.1007/s00382-014-2430-z

10.1007/s00382-012-1569-8

10.1029/2008GL034842

10.1029/2001WR000989

10.1007/s00703-011-0136-x

10.1029/2005JD006405

10.1016/j.agrformet.2012.11.016

10.1029/2000WR900325

10.3390/rs8030225

10.1016/j.rse.2015.05.015