File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1002/2017JD027903
- Scopus: eid_2-s2.0-85042123327
- WOS: WOS:000427774500005
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis
Title | Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis |
---|---|
Authors | |
Keywords | assessment CERES global products net radiation uncertainty analysis |
Issue Date | 2018 |
Citation | Journal of Geophysical Research: Atmospheres, 2018, v. 123, n. 4, p. 1970-1989 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/321777 |
ISSN | 2023 Impact Factor: 3.8 2023 SCImago Journal Rankings: 1.710 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jia, Aolin | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Jiang, Bo | - |
dc.contributor.author | Zhang, Xiaotong | - |
dc.contributor.author | Wang, Guoxin | - |
dc.date.accessioned | 2022-11-03T02:21:22Z | - |
dc.date.available | 2022-11-03T02:21:22Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Journal of Geophysical Research: Atmospheres, 2018, v. 123, n. 4, p. 1970-1989 | - |
dc.identifier.issn | 2169-897X | - |
dc.identifier.uri | http://hdl.handle.net/10722/321777 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Geophysical Research: Atmospheres | - |
dc.subject | assessment | - |
dc.subject | CERES | - |
dc.subject | global products | - |
dc.subject | net radiation | - |
dc.subject | uncertainty analysis | - |
dc.title | Comprehensive Assessment of Global Surface Net Radiation Products and Uncertainty Analysis | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/2017JD027903 | - |
dc.identifier.scopus | eid_2-s2.0-85042123327 | - |
dc.identifier.volume | 123 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1970 | - |
dc.identifier.epage | 1989 | - |
dc.identifier.eissn | 2169-8996 | - |
dc.identifier.isi | WOS:000427774500005 | - |