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The ERA5 global reanalysis

Quarterly Journal of the Royal Meteorological Society · 2020 · Vol. 146(730) · pp. 1999–2049
Hans HersbachBill BellPaul BerrisfordShoji HiraharaÁndrás HorányiJoaquı́n Muñoz-SabaterJulien P. NicolasCarole PeubeyRaluca RaduDinand SchepersA. J. SimmonsCornel SociSaleh AbdallaXavier AbellanGianpaolo BalsamoPeter BechtoldG. BiavatiJean‐Raymond BidlotMassimo BonavitaGiovanna De ChiaraPer DahlgrenDick DeeMichail DiamantakisRossana DraganiJohannes FlemmingRichard ForbesManuel FuentesAlan GeerLeo HaimbergerS. B. HealyRobin J. HoganElías HólmMarta JaniskováSarah KeeleyPatrick LaloyauxPhilippe LopezCristina LupuGábor RadnótiPatricia de RosnayI. RozumFreja VamborgSébastien VillaumeJean‐Noël Thépaut

Abstract

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.

Climate variability and modelsMeteorological Phenomena and SimulationsAtmospheric Ozone and ClimateClimatologyData assimilationEnvironmental scienceMeteorologyBuoyRadiosondeTroposphereHorizontal resolutionGeologyGeography
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References
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system
Remote Sensing of Environment · 2011 · 1,414 citations
The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy
Bulletin of the American Meteorological Society · 2014 · 1,045 citations
Representation of Clouds in Large-Scale Models
Monthly Weather Review · 1993 · 1,006 citations
The NCEP Climate Forecast System Version 2
Journal of Climate · 2013 · 3,425 citations
The ERA‐40 re‐analysis
Quarterly Journal of the Royal Meteorological Society · 2005 · 7,113 citations
Bias and data assimilation
Quarterly Journal of the Royal Meteorological Society · 2005 · 652 citations
Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer models
Journal of Geophysical Research Atmospheres · 2008 · 5,890 citations
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