EGU2020-10375
https://doi.org/10.5194/egusphere-egu2020-10375
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

The ERA5 Global Reanalysis: achieving a detailed record of the climate and weather for the past 70 years.

Hans Hersbach1, Bill Bell1, Paul Berrisford1, Per Dahlgren2, András Horányi1, Joaquı́n Muñoz-Sabater1, Julien Nicolas1, Raluca Radu1, Dinand Schepers1, Adrian Simmons1, and Cornel Soci1
Hans Hersbach et al.
  • 1European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom (hans.hersbach@ecmwf.int)
  • 2The Norwegian Meteorological Institute, Oslo, Norway (perd@met.no)

Reanalysis is a key contribution to the Copernicus Climate Change Service (C3S) that is implemented at the European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the European Commission. The most recent ECMWF reanalysis, ERA5, provides hourly estimates of the global atmosphere, land surface and ocean waves at a horizontal resolution of 31km. Daily updates are provided with a latency of 5 days, while an extension back to 1950 is to be made available in the 2nd quarter of 2020.
ERA5 uses a 2016 version of the ECMWF numerical weather prediction model and data assimilation system (Integrated Forecasting System Cy41r2) to assimilate both in situ and satellite observations (95 billion for the period 1979 - 2019), many of which stem from reprocessed data records. The assimilation method includes a variational method for estimating observation biases that respects the heterogeneity within the observing system. Information on random uncertainties in the state estimates is provided by a 10-member ensemble of data assimilations at half the horizontal resolution (63km).
This presentation provides a concise overview of the ERA5 data assimilation system. A basic evaluation of characteristics and performance is presented, which includes an inter-comparison with other reanalysis products, such as its predecessor ERA-Interim and several major reanalyses produced elsewhere. Attention is given to the importance of the specification of the background error covariance matrix that determines the weight given to the model's first guess in the assimilation. In addition, a special focus will be on the back extension from 1950 to 1978, where the absence of satellite data prior to the 1970s puts a more demanding constraint on the data assimilation system.

How to cite: Hersbach, H., Bell, B., Berrisford, P., Dahlgren, P., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Radu, R., Schepers, D., Simmons, A., and Soci, C.: The ERA5 Global Reanalysis: achieving a detailed record of the climate and weather for the past 70 years., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10375, https://doi.org/10.5194/egusphere-egu2020-10375, 2020

Displays

Display file