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C o p e r n i c u s R e g i o n a l R e a n a l y s i s f o r E u r o p e UERRA and C3S 322 Lot1 (PRECISE) overview Per Undn, Eric Bazile, Patrick Le Moigne, Climate Change Semjon Schimanke, Martjn Ridal and more.. UERRA and Copernicus RA


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C o p e r n i c u s R e g i o n a l R e a n a l y s i s f o r E u r o p e

Climate Change

UERRA and C3S 322 Lot1 (PRECISE) overview Per Undén, Eric Bazile, Patrick Le Moigne, Semjon Schimanke, Martjn Ridal and more..

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UERRA and Copernicus RA UERRA multi-model and ensembles Data availability Uncertainties and validation New Copernicus operational Regional RA Evaluation and quality aspects

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UERRA - Uncertainties in Ensembles of Regional ReAnalyses

Production data with quality evalution and data rescue and gridded data

Grant Agreement 607193 EU FP7 SPACE 2013-1

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4

Uni Bonn COSMO MF SMHI Met Office

CORDEX

EU 11 km

UERRA Domain & projections

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5

UERRA data sets in MARS at ECMWF

Members Resol ution Levels Period Variables: 3D upper air: T, RH/q, u,v, (dir,speed), Geop/pressure, cloud, water and ice, precip, 2 and 10 m T, RH, wind, evaporation, radiation fluxes, snow etc. COSMO (Univ Bonn) 1 12 40 2006-2010 T, RH, u, v, clouds, Geop, Precip, surf etc COSMO ensemble 20 12 40 2006-2010 T, RH, u, v, clouds, Geop, Precip, surf etc HARMONIE ALADIN 1 11 65 1961-2017 T, RH, u, v, clouds, Geop, Precip, surf etc HARMONIE ALARO ensemb 1 11 65 2006-2010 T, RH, u, v, clouds, Geop, Precip, surf etc MESAN cloud V1 1 11 1 2004-2008 Total cloud cover MESAN cloud V2 ensemble 1 11 1 1991-20101 Total cloud cover MESCAN 1 5 1 1961-2015 T2m, RH2m, Precipitation MESCAN ensemble 8 5 1 2006-2010 T2m, RH2m, Precipitation UM 4D-VAR 1 12 70 1979-2016 T, RH, u, v, clouds, Geop, Precip, surf etc UM Ens 3D-VAR 20 36 70 1979-2016 T, RH, u, v, clouds, Geop, Precip, surf etc

1) MESAN V2 2018 (just another version, not real ensemble

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6

Pressure levels

Height levels

Model levels Store analysis output every six hours at 00UTC, 06UTC, 12UTC, 18UTC for all models.

Surface levels: Temperature, wind, clouds, fluxes of sensible and latent heat, radiation fluxes, snow, rainfall Soil levels Temperature and soil wetness

Analysis: six hourly at 00 UTC, 06 UTC, 12 UTC, 18 UTC (hourly for COSMO) Forecasts : T+1,2,3,4,5,6,9,12,15, 18,21,24,27,30 started at 00 UTC and 12 UTC T+1,2,3,4,5,6 started at 06 UTC and 18 UTC

ECMWF MARS Data services Open data

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7

Curtesy Francesco Isotta, Meteo-Swiss

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8 COSMO UKMO (det) EOBS HARMONIE V1 ERA INTERIM MESCAN SURFEX NGCD

Nordic Gridded Climate Dataset as one reference Curtesy Cristian Lussana (MET Norway)

Frequency of wet days (>1 mm)

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SLIDE 9

Climate Change

Some facts Service lifetjme:

  • Sep 2017 – Aug 2021
  • Contractor
  • Sub-contractors

Main objectjves of the service

  • Produce a regional

reanalysis (RRA) for Europe

  • Deliver data monthly in near

real-tjme (operatjonal service)

  • User support and guidance

C o p e r n i c u s r e g i o n a l r e a n a l y s i s f o r E u r o p e

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SLIDE 10

Climate Change

T i m e l i n e o f s e r v i c e a n d s y s t e m d e t a i l s

2017 2018 UERRA system in near real tjme (11km resolutjon) 2019 2020 2021 New system in operatjonal mode (5.5km resolutjon) Development of the new system Development of the new system EDA system (10 members at 11km resolutjon)

  • 11 km (500x500 grid points), 65 levels
  • Surface downscaling analysis 5.5 km

(MESCAN)

  • Start in 1961 and operatjonal from 2/2018
  • 5.5 km (1100x1050 grid points), 106 levels
  • Surface analysis at 5.5 km – no downscale
  • Plus 10 ensemble members at 11km
  • Will start in the early 1980s
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SLIDE 11

Climate Change

M o d e l s y s t e m s : c o m m o n b a s e

  • HARMONIE-ALADIN system
  • 3D-VAR data assimilatjon
  • Large scale constraint (Jk)
  • Incremental digital fjlter

initjalizatjon

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SLIDE 12

Climate Change

UERRA system 11 km (500x500 grid points)

  • 65 levels (10hPa)
  • Surface downscaling

analysis 5.5 km (MESCAN) New system

  • 5.5 km (~1100x1050 grid

points)

  • 106 levels (1hPa)
  • Surface analysis at 5.5 km as

part of the system

  • Plus 10 ensemble members

at 11km and coupling to data assimilatjon

M o d e l s y s t e m s : d i fg e r e n c e s

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Climate Change

M o d e l s y s t e m s : d i fg e r e n c e s UERRA system New system HARMONIE cycle 38h1 (ALADIN physics) HARMONIE cycle 40.1h / 42 (ALADIN physics) with convectjon updates SURFEX 7.3 SURFEX 7.3 with updates ERA40 and ERA-interim as LBC ERA5 as LBC 4 cycles per day 8 cycles per day (analysis every 3 hours) No satellite data Satellite radiances, e.g. IASI, SEVERI, MSU, AMSU + AMV, GPS-RO

  • Usage of ERA5 ODB fjles, e.g. blacklistjng

informatjon

  • More obs-data, e.g. GBGNSS
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Climate Change

 New 106

level resolution similar to ECMWF

Level thickness as a funcion of pressure (y-axis). C3S_322 in black and UERRA 65L in red; ECMWF/ERA5 in green). The fjttjng from Pierre B is piecewise spline and requires a lot of trials by changing parameters in three domains of the atmosphere and this high number of levels is necessary to get a curve commensurate with ERA5 while stjll smooth and fjnishing at 1 hPa

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Climate Change

N o n c o n v e n tj o n a l o b s e r v a tj o n s Observing system Period Instrument NOAA-09,……..19 1984—2009- - MSU NPP 2011 - ATMS METOP-A, B 2006-2012-- AMSU-A/MHS/IASI METEOSAT SEVIRI EUMETSAT AMV Polar winds 1982- Retrieved imagery reprocessed EUMETSAT AMV 1988-1973-2016 Reprocessed GPS-RO 2001-2016, 2017- Reprocessed CDR GNSS-ZTD 1996-2014- Reprocessed EPN, Nordic SE land survey

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GNSS groundbased Zenith Total Delay data 1997-2014 Also European EPN network will be used

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Climate Change

Verifjcatjon

11 km, 106 vertjcal levels. No assimilatjon. Red in the plots.

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5.5 km, 106 vertjcal levels. No assimilatjon. Green in the plots.

 

UERRA, 11 km, 65 vertjcal levels. With assimilatjon. Blue in the plots.

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Climate Change

Verifjcatjon

Wind speed, STDV and BIAS

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Climate Change

Clouds and humidity truncated at >99 % and then zero values – these fields are not useable. Not discovered during production until very late. Corrected from 2016.

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Climate Change

S t a t u s W P 4 – U s e r s u p p o r t a n d g u i d e l i n e

Validatjon of UERRA data

Usage of RRA 1961 - 2015 with the intentjon to produce training material for the users Unfortunately, so far we managed only to identjfy some problems with the

  • data. These are related to the short term hourly forecasts (fc1 and fc2) and

mainly wind and temperature parameters.

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Final points

UERRA HARMONIE (SMHI) and MESCAN (MF) C3S_322 lot 1 European Regional operational Reanalysis Many improvements expected in new system Higher resolution, more observations, ensembles More Quality Assurance More User interaction