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The ERA5 global reanalysis.

Authors :
Hersbach, Hans
Bell, Bill
Berrisford, Paul
Hirahara, Shoji
Horányi, András
Muñoz‐Sabater, Joaquín
Nicolas, Julien
Peubey, Carole
Radu, Raluca
Schepers, Dinand
Simmons, Adrian
Soci, Cornel
Abdalla, Saleh
Abellan, Xavier
Balsamo, Gianpaolo
Bechtold, Peter
Biavati, Gionata
Bidlot, Jean
Bonavita, Massimo
Chiara, Giovanna
Source :
Quarterly Journal of the Royal Meteorological Society; Jul2020, Vol. 146 Issue 730, p1999-2049, 51p
Publication Year :
2020

Abstract

Within the Copernicus Climate Change Service (C3S), ECMWF is producing the ERA5 reanalysis which, once completed, will embody a detailed record of the global atmosphere, land surface and ocean waves from 1950 onwards. This new reanalysis replaces the ERA‐Interim reanalysis (spanning 1979 onwards) which was started in 2006. ERA5 is based on the Integrated Forecasting System (IFS) Cy41r2 which was operational in 2016. ERA5 thus benefits from a decade of developments in model physics, core dynamics and data assimilation. In addition to a significantly enhanced horizontal resolution of 31 km, compared to 80 km for ERA‐Interim, ERA5 has hourly output throughout, and an uncertainty estimate from an ensemble (3‐hourly at half the horizontal resolution). This paper describes the general set‐up of ERA5, as well as a basic evaluation of characteristics and performance, with a focus on the dataset from 1979 onwards which is currently publicly available. Re‐forecasts from ERA5 analyses show a gain of up to one day in skill with respect to ERA‐Interim. Comparison with radiosonde and PILOT data prior to assimilation shows an improved fit for temperature, wind and humidity in the troposphere, but not the stratosphere. A comparison with independent buoy data shows a much improved fit for ocean wave height. The uncertainty estimate reflects the evolution of the observing systems used in ERA5. The enhanced temporal and spatial resolution allows for a detailed evolution of weather systems. For precipitation, global‐mean correlation with monthly‐mean GPCP data is increased from 67% to 77%. In general, low‐frequency variability is found to be well represented and from 10 hPa downwards general patterns of anomalies in temperature match those from the ERA‐Interim, MERRA‐2 and JRA‐55 reanalyses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00359009
Volume :
146
Issue :
730
Database :
Complementary Index
Journal :
Quarterly Journal of the Royal Meteorological Society
Publication Type :
Academic Journal
Accession number :
144906808
Full Text :
https://doi.org/10.1002/qj.3803