Copernicus Regional Reanalysis for Europe Climate Change EMS

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Copernicus Regional Reanalysis for Europe Climate Change EMS, 09/09/2019 Semjon Schimanke et al.

Copernicus Regional Reanalysis for Europe Climate Change EMS, 09/09/2019 Semjon Schimanke et al.

Time 2017 Climate Change line of service 2018 and 2019 system 2020 details 2021

Time 2017 Climate Change line of service 2018 and 2019 system 2020 details 2021 UERRA system in near real time (11 km/5. 5 km resolution) CERRA system in operational mode (5. 5 km resolution) Development of the CERRA system EDA system (10 members at 11 km resolution) • • • 11 km (565 x 565 grid points), 65 levels Surface downscaling analysis 5. 5 km (MESCAN-SURFEX) Start in 1961 and operational since 2/2018 • • 5. 5 km (1069 x 1069 grid points), 106 levels Surface analysis at 5. 5 km Plus 10 ensemble members at 11 km Will start in the early 1980 s

Climate Change The RRA systems and available data

Climate Change The RRA systems and available data

The Climate Change pre-operational FP 7 project • UERRA: Uncertainties in Ensembles of Regional

The Climate Change pre-operational FP 7 project • UERRA: Uncertainties in Ensembles of Regional Re. Analysis • 12 European partners • Three different RRA plus ensembles • SMHI’s UERRA data as well as the MESCAN-SURFEX data were produced for 1961 -2015 and they are available through Copernicus Climate Data Store (CDS). www. uerra. eu

Overview Climate Change UERRA systems • UERRA – HARMONIE system – HARMONIE cycle 38

Overview Climate Change UERRA systems • UERRA – HARMONIE system – HARMONIE cycle 38 h 1, ALADIN physics – ERA 40/ERA-interim as lateral boundary – Assimilation of conventional observations, 3 D-VAR – 4 cycles per day, forecast lengths 6 h and 30 h – 11 km resolution (565 x 565) and 65 vertical levels • MESCAN-SURFEX system – Optimal interpolation (OI) – 5. 5 km resolution

Available Climate Change data • Modell domain covers entire Europe • Period 1961 –

Available Climate Change data • Modell domain covers entire Europe • Period 1961 – May 2019 with monthly updates, hourly data • 31 surface parameters, 9 parameters on pressure levels, 7 parameters on height levels, 4 parameters on model levels 2 parameters on soil levels • Additional output from MESCANSURFEX (surface and soil) The data is available via Copernicus Climate Data Store (CDS). Model domain illustrated with model topography and land-sea mask

Climate Change Data quality

Climate Change Data quality

Verification Climate Change Standard deviation Bias • • • UERRA ERA-interim Verification tools are

Verification Climate Change Standard deviation Bias • • • UERRA ERA-interim Verification tools are part of the quality control during the production Smaller bias and std than ERA-interim, e. g. T 2 m, wind speed, precipitation Some parameters not better than ERAinterim, e. g. RH 2 m

DJF Climate Change wind ERA 5 speed in ERA 5 and UERRA-HARMONIE

DJF Climate Change wind ERA 5 speed in ERA 5 and UERRA-HARMONIE

DJF Climate Change windspeed in ERA 5 and UERRA • Differences are general small

DJF Climate Change windspeed in ERA 5 and UERRA • Differences are general small • Differences related to topography/coastline • General weaker winds over northern Africa and the Norwegian/Barents Sea

Quality of wind speed Climate Change Comparison of wind speed at 24 Swedish coastal

Quality of wind speed Climate Change Comparison of wind speed at 24 Swedish coastal stations UERRA ERA 5 ERA-int Mean absolute error 0. 55 0. 84 Correlation 0. 85 0. 79 RMSE 1. 83 1. 97 2. 36 Based on the period 2000 -2015. Hourly data for UERRA and ERA 5, 6 hourly for ERA-interim

S u m m e r Climate Change d a y s ( T

S u m m e r Climate Change d a y s ( T m a x > 2 5 C ) c o m p a r e d t o E - O B S

Climate Change Good to know…

Climate Change Good to know…

Good Kg/m 2 Climate Change The first forecast hours might be affected by spin-up

Good Kg/m 2 Climate Change The first forecast hours might be affected by spin-up issues. This is depending on the parameter. to know…

Homogeneity Climate Change 100 m wind speed 500 h. Pa geopotential Yearly averages of

Homogeneity Climate Change 100 m wind speed 500 h. Pa geopotential Yearly averages of the standard deviation and mean of the forecast difference fc 30 -fc 06 during winter (DJF). Left: 100 m wind speed. Right: 500 h. Pa geopotential. Curtesy Adam von Kraemer. Investigations of the forecast skill (differences between fc 30 and fc 6): • Forecast skill effects accuracy of the first guess and has herewith consequences on the data quality • Increase of quality with the switch to ERA-interim and increasing numbers of observations (upper air)

You Climate Change want to know more? • Homepage https: //climate. copernicus. eu/regional-reanalysis-europe •

You Climate Change want to know more? • Homepage https: //climate. copernicus. eu/regional-reanalysis-europe • CDS, search for regional reanalysis https: //cds. climate. copernicus. eu • Copernicus-support@ecmwf. int • Poster P 82, Wednesday-Friday, attendence time Friday 10: 30 -11: 30 (OSA 3. 4 The Copernicus Climate Change Service)

User Climate Change support • User guide • Git server with example scripts https:

User Climate Change support • User guide • Git server with example scripts https: //git. smhi. se/C 3 S_322_Lot 1_user_examples • Training material https: //climate. copernicus. eu/us er-learning-services • Support by email Copernicus-support@ecmwf. int

Summary Climate Change • The service offers: – Based on the RRA from the

Summary Climate Change • The service offers: – Based on the RRA from the FP 7 UERRA project, hourly data at 11 km and 5. 5 km resolution from 1961 to near real time for Europe – A comprehensive set of output parameters for the surface, the upper air, and the soil – User guidance and support • Data quality improves compared to global products