Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5
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EarthandSpaceScience_2022_Ghaj ...
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Author
Ghajarnia, N.Akbari, M.
Saemian, P.
Ehsani, M.R.
Hosseini-Moghari, S.-M.
Azizian, A.
Kalantari, Z.
Behrangi, A.
Tourian, M.J.
Klöve, B.
Haghighi, A.T.
Affiliation
Department of Hydrology and Atmospheric Sciences, University of ArizonaIssue Date
2022Keywords
ERAerror decomposition
multi-scale evaluation
precipitation analysis
precipitation estimates
statistical evaluation
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John Wiley and Sons IncCitation
Ghajarnia, N., Akbari, M., Saemian, P., Ehsani, M. R., Hosseini-Moghari, S.-M., Azizian, A., Kalantari, Z., Behrangi, A., Tourian, M. J., Klöve, B., & Haghighi, A. T. (2022). Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5. Earth and Space Science, 9(10).Journal
Earth and Space ScienceRights
Copyright © 2022 The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
European Center for Medium-Range Weather Forecasts Reanalysis (ERA), one of the most widely used precipitation products, has evolved from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution of the products. We compared the performance of all ERA precipitation products at daily, monthly, and annual data (1980–2018) using more than 2100 Iran precipitation gauges. Results indicated that ERA-40 performed worst, followed by ERA-20CM, which showed only minor improvements over ERA-40. ERA-20C considerably outperformed its predecessors, benefiting from the assimilation of observational data. Although several previous studies have reported full superiority of ERA5 over ERA-Interim, our results revealed several shortcomings in ERA5 compared with the ERA-Interim estimates. Both ERA-Interim and ERA5 performed best overall, with ERA-Interim showing better statistical and categorical skill scores, and ERA5 performing better in estimating extreme precipitations. These results suggest that the accuracy of ERA precipitation products has improved from ERA-40 to ERA-Interim, but not consistently from ERA-Interim to ERA5. This study employed a grid-grid comparison approach by first creating a gridded reference data set through the spatial aggregation of point source observations, however, the results from a point-grid approach showed no change in the overall ranking of products (despite the slight changes in the error index values). These findings are useful for model development at a global scale and for hydrological applications in Iran. © 2022 The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union.Note
Open access journalISSN
2333-5084Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1029/2022EA002352
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Except where otherwise noted, this item's license is described as Copyright © 2022 The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution License.

