The ERA5 global reanalysis

Quarterly Journal of the Royal Meteorological Society - Tập 146 Số 730 - Trang 1999-2049 - 2020
Hans Hersbach1, Bill Bell1, Paul Berrisford1, Shoji Hirahara2, Ándrás Horányi1, Joaquín Muñoz‐Sabater1, Julien P. Nicolas1, Carole Peubey1, Raluca Radu1, Dinand Schepers1, A. J. Simmons1, Cornel Soci1, Saleh Abdalla1, Xavier Abellan1, Gianpaolo Balsamo1, Peter Bechtold1, Gionata Biavati1, Jean‐Raymond Bidlot1, Massimo Bonavita1, Giovanna De Chiara1, Per Dahlgren3, Dick Dee1, Michail Diamantakis1, Rossana Dragani1, Johannes Flemming1, R. M. Forbes1, Manuel Fuentes1, Alan J. Geer1, Leopold Haimberger4, S. B. Healy1, Robin J. Hogan1, Elías Hólm1, Marta Janisková1, Sarah Keeley1, Patrick Laloyaux1, Philippe Lopez1, Cristina Lupu1, Gábor Radnóti1, Patricia de Rosnay1, I. Rozum1, Freja Vamborg1, Sébastien Villaume1, Jean‐Noël Thépaut1
1European Centre for Medium-Range Weather Forecasts, Reading, UK
2Japan Meteorological Agency, Tokyo, Japan
3The Norwegian Meteorological Institute, Oslo, Norway
4Department of Meteorology and Geophysics Universität Wien Vienna Austria

Tóm tắt

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.

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Tài liệu tham khảo

10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2

10.1175/MWR-D-13-00153.1

10.5194/hess-16-3607-2012

10.1002/2014GL060962

10.1002/qj.49712555416

10.1002/qj.56

10.1002/qj.2063

10.1175/2008MWR2433.1

10.5194/hess-19-389-2015

10.3402/tellusa.v64i0.15829

10.1175/2008JHM1068.1

10.1002/qj.289

10.1175/JAS-D-13-0163.1

10.5194/essd-5-71-2013

10.5194/os-15-831-2019

Bengtsson L., 1982, FGGE 4‐dimensional data assimilation at ECMWF, Bulletin of the American Meteorological Society, 63, 29

10.1002/qj.864

Bidlot J.‐R.(2012).Present status of wave forecasting at ECMWF pp. 25–27 in Workshop on Ocean Waves ECMWF Reading UK.

10.1175/2019BAMSStateoftheClimate.1

10.1175/BAMS-D-13-00047.1

10.1002/qj.2652

Bormann N. Fouilloux A.andBell W.(2012).Evaluation and assimilation of ATMS data in the ECMWF system. Technical Memorandum 689 ECMWF Reading UK.

Bormann N. Bonavita M. Dragani R. Eresmaa R. Matricardi M.andMcNally A.P.(2015).Enhancing the impact of IASI observations through an updated observation error covariance matrix. Technical Memorandum 756 ECMWF Reading UK.

Bormann N. Collard A.D.andBauer P.(2009).Estimates of spatial and interchannel observation error characteristics for current sounder radiances for NWP. Technical Memorandum 600 ECMWF Reading.

Bormann N. Lupu C. Geer A.J. Lawrence H. Weston P.andEnglish S.J.(2017).Assessment of the forecast impact of suface‐sensitive microwave radiances over land and sea‐ice. Technical Memorandum 804 ECMWF Reading UK.

10.1080/01431161.2012.716543

Burrows C.(2018).Assimilation of radiance observations from geostationary satellites: first year report. EUMETSAT/ECMWF Fellowship Programme Research Report 47 ECMWF Reading UK.

10.1256/qj.03.205

10.1029/JD091iD10p10825

10.5194/acpd-7-1655-2007

Chen K. English S.J. Bormann N.andZhu J.(2014).Assessment of FY‐3A and FY‐3B MWHS observations. ECMWF Technical Memorandum 734 ECMWF Reading.

10.1002/qj.410

10.1175/BAMS-87-2-175

10.1002/qj.776

Copernicus(2019).Ozone monthly gridded data from 1970 to present Level 4 version 0021. Available athttps://cds.climate.copernicus.eu/portfolio/dataset/satellite‐ozone; accessed 11 April 2020.

10.1002/qj.49712051912

10.1002/qj.2297

10.1002/gdj3.25

10.5194/acp-17-12743-2017

10.1007/s10712-012-9207-x

10.1002/qj.2023

10.1256/qj.05.137

10.1002/qj.493

10.1002/qj.828

Diamantakis M., 2014, Improving ECMWF forecasts of sudden stratospheric warmings, ECMWF Newsletter, 141, 30

10.1175/MWR-D-15-0432.1

10.1016/j.rse.2010.10.017

Dragani R.(2009).Variational bias correction of satellite ozone data. Technical Report R43.8/RD/0934 ECMWF Reading UK.

10.5194/acp-16-8539-2016

10.1002/qj.2106

10.1175/2010JCLI3377.1

10.1175/2010JHM1249.1

Dutra E. Stepanenko V. Balsamo G. Viterbo P. Miranda P. Mironov D.andSchär C.(2009).Impact of lakes on the ECMWF surface scheme. ECMWF Technical Memorandum 608 ECMWF Reading UK.

DWD(2000).Bewertung der Orkanwetterlage am 26.12.1999 aus klimatologischer Sicht. Available at:http://www.wetter‐extrem.de/stuerme/lothar/orkan_lothar.pdf; accessed 11 April 2020.

Eastwood S. Lavergne T.andTonboe R.(2014).Algorithm Theoretical Basis Document for the OSI SAF global reprocessed sea ice concentration product version 1.1. EUMETSAT Satellite Application Facilities Darmstadt Germany.

ECMWF R&D(2016).IFS documentation cy41r2.https://www.ecmwf.int/en/publications/ifs‐documentation; accessed 11 April 2020.

10.1002/qj.3171

K. Fennig M. Schroeder R. Hollmann 2017

Fiorino M.(2004).A multi‐decadal daily sea surface temperature and sea ice concentration data set for the ERA‐40 reanalysis. Technical Report 12 ECMWF Reading UK.

M. Fisher 2003

10.5194/acp-17-1945-2017

Forbes R.M., 2011, An improved representation of cloud and precipitation, ECMWF Newsletter, 129, 13

10.1175/MWR-D-13-00325.1

Forbes R.M. Tompkins A.M.andUntch A.(2011).A new prognostic bulk microphysics scheme for the IFS. ECMWF Technical Memorandum 649 ECMWF Reading UK.

10.1175/1520-0493(2001)129<2089:IOTDFA>2.0.CO;2

10.1002/qj.3172

10.1109/TGRS.2010.2040186

10.1175/JCLI-D-16-0758.1

Gibson J.K. Kållberg P. Uppala S.M. Hernandez A. Nomura A.andSerrano E.(1999).ECMWF re‐analysis project report 1 ERA‐15 description (version 2). Technical Report ECMWF Reading UK.

10.1029/2019GL082781

10.1175/2008JCLI1929.1

10.1175/JCLI-D-11-00668.1

10.1029/2010RG000345

10.1002/qj.63

10.1029/2010JD014013

10.1175/2009JTECHO698.1

Hersbach H., 2019, ECMWF's ERA5 reanalysis extends back to 1979, ECMWF Newsletter, 158, 1

10.1002/qj.2528

10.1002/qj.3040

Hersbach H. deRosnay P. Bell B. Schepers D. Simmons A.J. Soci C. Abdalla S. Balmaseda M.A. Balsamo G. Bechtold P. Berrisford P. Bidlot J. deBoisséson E. Bonavita M. Browne P. Buizza R. Dahlgren P. Dee D.P. Dragani R. Diamantaki M. Flemming J. Forbes R. Geer A.J. Haiden T. Hólm E.V. Haimberger L. Hogan R. Horányi A. Janisková M. Laloyaux P. Lopez P. Muñoz Sabater J. Peubey C. Radu R. Richardson D. Thépaut J.‐N. Vitart F. Yang X. Zsótér E.andZuo H.(2018).Operational global reanalysis: progress future directions and synergies with NWP. ERA Report Series no. 27 ECMWF Reading UK.

10.3402/tellusa.v67.27128

Hirahara S. Balmaseda M.A. deBoisseson E.andHersbach H.(2016).Sea surface temperature and sea ice concentration for ERA5. ERA Report Series no. 26 ECMWF Reading UK.

10.1002/qj.2059

10.1002/2015MS000455

10.1002/2015GL066868

Horányi A., 2017, Some aspects on the use and impact of observations in the ERA5 Copernicus Climate Change Service reanalysis, Idojaras, 121, 329

G.J. Huffman R.F. Adler D.T. Bolvin E.J. Nelkin 2010

10.1029/2008JD009944

Ide K., 1997, Unified notation for data assimilation: operational, sequential and variational, Journal of the Meteorological Society of Japan, 39, 2038

Ingleby B., 2018, Improved use of atmospheric in situ data, ECMWF Newsletter, 155, 20

10.1175/BAMS-D-15-00169.1

10.5194/acp-19-3515-2019

10.5194/acp-13-4073-2013

Isaksen L. Bonavita M. Buizza R. Fisher M. Haseler J. Leutbecher M.andRaynaud L.(2010).Ensemble of Data Assimilations at ECMWF. Technical Memorandum 636 ECMWF Reading UK.

M. Janisková P. Lopez 2013

Janssen P.A.E.M.andBidlot J.(2009).On the extension of the freak wave warning system and its verification. Techical Memorandum 588 ECMWF Reading UK.

10.5194/wes-4-193-2019

10.1126/science.aaa5632

10.1002/qj.2669

10.1002/qj.514

10.2151/jmsj.2015-001

Köopken C. Thépaut J.‐N.andKelly G.A.(2003).Assimilation of Geostationary WV Radiances from GOES and Meteosat at ECMWF. EUMETSAT/ECMWF Fellowship Programme Research Report 14 ECMWF Reading UK.

Krzeminski B. Bormann N. Kelly G.A. McNally A.P.andBauer P.(2009).Revision of the HIRS cloud detection at ECMWF. EUMETSAT/ECMWF Fellowship Programme Research Report 19 ECMWF Reading UK.

10.1029/2018MS001273

10.1002/qj.3798

10.1109/TGRS.2018.2798292

10.1007/s11207-005-1527-2

Letertre‐Danczak J.(2016).Monitoring and operational assimilation of Himawari‐9 clear‐sky geostationary radiances. Research Department Memorandum RD16‐029 ECMWF Reading UK.

10.1002/qj.3094

10.5194/acp-17-14593-2017

10.1175/2010MWR3565.1

Lupu C.andGeer A.J.(2015).Operational Implementation of RTTOV‐11 in the IFS. Technical Memorandum 636 ECMWF Reading UK.

Lupu C.andMcNally A.P.(2012).Assimilation of cloud‐affected radiances from Meteosat‐9 at ECMWF. EUMETSAT/ECMWF Fellowship Programme Research Report 25 ECMWF Reading UK.

10.1002/qj.2509

10.1175/JHM-D-12-0108.1

10.1029/2018GL078035

10.1175/JCLI-D-11-00202.1

10.1175/JCLI-D-19-0233.1

10.1256/qj.02.208

10.1256/qj.04.171

10.1002/jgrd.50597

10.1002/gdj3.20

Mironov D., 2010, Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO, Boreal Environment Research, 15

Molteni F. Stockdale T. Balmaseda M.A. Balsamo G. Buizza R. Ferranti L. Magnusson L. Mogensen K. Palmer T.N.andVitart F.(2011).The new ECMWF Seasonal Forecast System (System 4). Technical Memorandum 656 ECMWF Reading UK.

10.1029/89JD01597

10.1175/2008MWR2363.1

10.1029/2011JD017187

Muñoz‐Sabater J., 2019, First ERA5‐Land dataset to be released this spring, ECMWF Newsletter, 159, 8

10.1256/qj.02.229

10.1002/qj.2505

NOAA(2006).2‐Minute Gridded Global Relief Data (ETOPO2) v2. National Geophysical Data Center NOAA Asheville NC.

10.1016/j.renene.2018.03.056

10.1175/2010JCLI3490.1

Penny S.G. Akella S. Buehner M. Chevallier M. Counillon F. Draper C. Frolov S. Fujii Y. Karspeck A. Kumar A. Laloyaux P. Mahfouf J.‐F. Martin M. Peña M. deRosnay P. Subramanian A. Tardif R. Wang Y.andWu X.(2017).Coupled data assimilation for Integrated Earth System Analysis and Prediction: Goals challenges and recommendations. WWRP report 2017‐3 WMO Geneva Switzerland.

10.1002/qj.500

Pincus R., 2003, A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous clouds, Journal of Geophysical Research: Atmospheres, 103

10.1175/JCLI-D-15-0556.1

10.3319/TAO.2008.01.21.02(F3C)

10.1175/JCLI-D-15-0629.1

Raoult B., 2017, Climate service develops user‐friendly data store, ECMWF Newsletter, 151, 22

10.1175/JCLI-D-12-00823.1

Salonen K.andBormann N.(2016).Atmospheric Motion Vector observations in the ECMWF system: Fifth year report 41. EUMETSAT/ECMWF Fellowship Programme Research Report 41 ECMWF Reading UK.

Sandu I., 2011, Revision of the surface roughness length table, ECMWF Newsletter, 130, 8

10.1002/jame.20013

10.5194/gmd-11-2717-2018

Schepers D. deBoisséson E. Eresmaa R. Lupu C.anddeRosnay P.(2018) CERA‐SAT: A coupled satellite‐era reanalysis ECMWF Newletter155 32–37

Shepherd T.G. Polichtchouk I. Hogan R.J.andSimmons A.J.(2018).Report on Stratosphere Task Force. Technical Memorandum 824 ECMWF Reading UK.

Shine K.P., 2008, Temperature trends derived from Stratospheric Sounding Unit radiances: The effect of increasing CO2 on the weighting function, Geophysical Research Letters, 35

10.1175/JAS-3322.1

10.1029/2009JD012442

10.1002/qj.2317

10.1002/qj.2949

Simmons A.J. Soci C. Nicolas J. Bell B. Berrisford P. Dragani R. Flemming J. Haimberger L. Healey S.B. Hersbach H. Horányi A. Inness A. Muñoz‐Sabater J. Radu R.andSchepers D.(2020).Global stratospheric temperature bias and other stratospheric aspects of ERA5 and ERA5.1. Technical Memorandum 859 ECMWF Reading UK.

10.1016/j.crte.2018.07.012

10.1029/96JC02860

10.1002/qj.2763

Tarek M., 2019, Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modeling over North America, Hydrology and Earth System Sciences Discussion, 2019, 1

10.1002/qj.2440

10.3390/geosciences9070289

Thépaut J.‐N. Dee D.P. Engelen R.andPinty B.(2018).The Copernicus programme and its climate change service. pp. 1591–1593 in IEEE International Geoscience and Remote Sensing Symposium Valencia Spain.

10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2

10.1175/1520-0493(1993)121<3040:ROCILS>2.0.CO;2

10.1002/2013JD020316

10.1175/JCLI-D-13-00294.1

10.1175/2008BAMS2634.1

10.1175/JCLI-3299.1

10.5194/os-14-1021-2018

10.1256/qj.04.176

10.1016/j.solener.2018.02.059

van denHurk B.J. Viterbo P. Beljaars A.andBetts A.(2000).Offline validation of the ERA40 surface scheme. Technical Memorandum 295 ECMWF Reading UK.

10.1256/003590002321042036

10.1002/joc.2103

Xu X., 2019, Evaluation of variability among different precipitation products in the Northern Great Plains, Journal of Hydrology: Regional Studies, 24

Zuo H. Balmaseda M.A. Mogensen K.andTietsche S.(2018).OCEAN5: The ECMWF Ocean Reanalysis System and its real‐time analysis component. Technical Report 823 ECMWF Reading UK.