CMIP forcing data for regional modelling in WDCC/Cera. model support & data
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1 CMIP forcing data for regional modelling in WDCC/Cera model support & data
2 workflow: MPI-ESM WDCC RCM Cordex: subset of CMIP5 experiments requested variables by CMIP5 variables provided by WDCC / Cera experiments, periods and realizations (WDCC) Data size ENES-portal WDCC cera download ESG search: 6hrLev outline 2 /18
3 Workflow CMIP5 RCM forcing WDCC RCM forcing CMIP5 data (DOI) cdo select raw model output (temporary) download unzip & convert interpolate (region & resolution) RCM integration RCM data is in native format (GRIB) and gnu-zipped atmospheric data is at model level 3 /18
4 CMIP5 / Cordex experiments CORDEX experiments (as subset of CMIP5 experiments) Amip Historical RCPs: 2.6, 4.5, 8.5 Decadals: 1980, 1990, 2005 GCM (MPI-ESM) resolutions MPI-ESM-LR: 192 x 96 x 47 MPI-ESM-MR: 192 x 96 x 95 MPIOM: GR15 MPIOM: TP04 example: CORDEX experiments at DKRZ like REMO and CCLM AFR-44 ~ 50 km 214 x 221 x 35 AFR-22 ~ 25 km 418 x 432 x 35 EUR-11 ~ 12 km 450 x 438 x 40 4 /18
5 FX: (constants) land / sea mask orography glacier mask soil moisture (field capacity) Atmosphere (model level, 6-hourly): surface pressure temperature specific humidity u- and v- winds Variables requested by CMIP5 project 5 /18
6 Additional data provided by WDCC/Cera Atmosphere (6-hourly): mass fraction of cloud liquid water in air mass fraction of cloud ice in air Soil (6-hourly): soil temperature (model layer) soil moisture content skin_reservoir_water_content 6 /18
7 Additional data provided by WDCC/Cera Surface: surface temperature on land or land-ice sea surface temperature sea ice area fraction surface snow thickness where sea ice surface temperature of sea ice Ocean data is on a 6-hourly basis with one value per day 7 /18
8 provided 6-hr data in native format Experiments, Periods, Realizations LR amip r1 historical r1 rcp r1 rcp r1 rcp r1 decadal r1-3 decadal r1-3 decadal r1-3 requested r1-3 r1-3 r1-3 r1-3 r1-3 r1-3 r1-3 r1-3 MR r1 r1-2 r1 r1-2 r1-2 provided r r1 r /18
9 Code list for cera code type "ECHAM6_RCM_forcing" FILES fx c5_133 c5 GRIB CodeNo. Acronym Description or CF-Std. Name Unit 4 slm sea_land_mask glac glacier_mask mrsofc soil_moisture_content_at_field_capacity m 129 geosp surface_geopotential m / s * s 133 hus specific_humidity kg/kg 134 ps surface_air_pressure Pa 130 ta air_temperature K 138 svo atmosphere_relative_vorticity 1/s 155 sd divergence_of_wind 1/s model level spherical harmonics 9 /18
10 Code list for Cera code type "ECHAM6_RCM_forcing Files etc jsb GRIB CodeNo. Acronym Description or CF-Std. Name Unit 102 tsice surface_temperature_of_sea_ice K 139 tsl surface_temperature_where_land_or_land_ice K 140 mrso soil_moisture_content m 141 lwsnl liquid_water_content_of_snow_layer_where_land m 153 clw mass_fraction_of_cloud_liquid_water_in_air kg/kg 154 cli mass_fraction_of_cloud_ice_in_air kg/kg 193 wl lwe_thickness_of_canopy_water_amount m 103 tos sea_surface_temperature K 210 sic sea_ice_area_fraction sit sea_ice_thickness m 214 sni surface_snow_thickness_where_sea_ice m 68 tsl soil_temperature (5 soil layer) K model level daily update of values (mpiom) 10 /18
11 size matters? RCM data in WDCC/Cera is native GRIB, gnu-zipped Data size in GB/year file LR MR c5_ c etc land total: same data in NetCDF(3): 32 GB/year 63 GB/year zipped GRIB vs. CMOR2 is about 1:6 CF-conversion-script can be downloaded from Cera database 11 /18
12 IS-ENES portal 12 /18
13 Cera project page project / format MPI-ESM resolutions ensemble members dataset content how to convert (cdo sp2gp) Click here to browse experiments Keywords: RCM-forcing CMIP5 CORDEX ECHAM6 amip historical rcp26 rcp45 rcp85 decadal 13 /18
14 Selecting particular datasets c5_convert_rcm: direct download only select select add to process list 14 /18
15 dataset order form and temporal selection 15 /18
16 download 16 /18
17 model level: 6hrLev 17 /18
18 RCM forcing in native GRIB Advantages: rapid availability (well before QC) small data amount monthly records available (instead of timeseries) GRIB is a widely used format, previous converters can be used Drawbacks: no QC, only indirectly, when model output has passed QC GRIB has to be converted into NetCDF 18 /18
19 Links to data services ENES-Portal: Cera user interface: RCM forcing Daten: jblob Doku & Download: 19 /18
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