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The Copernicus Climate Change Service (C3S) of the European Commission aims to provide authoritative information about the past, present and future climate in Europe and the rest of the World. It is in this context that the pan-European (Fig. 1) Copernicus European Regional ReAnalysis CERRA has been developed, under the contract C3S_322_Lot1. This land surface reanalysis covers the period 1984-2021 and has a horizontal resolution of 5.5km. The datasets can be used in support of adaptation action and policy development as well as contribute to climate monitoring and research, but also provide valuable information to climate services.
Figure1: CERRA-Land domain. Orography [m] is presented in color. The system used the Lambert Conformal Conic projection.
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Table1: Overview of Fields calculated as a mean value of a grib box.
Name | ShortName | Unit | GRIB2 CODE | Analysis | Forecast range | Height |
Total precipitation | tp | kg.m-2 | 228228 | yes | no | surface |
Skin temperature | skt | K | 235 | no | yes | surface |
Evaporation | eva | kg.m-2 | 260259 | no | yes | surface |
Time-integrated surface latent heat flux | slhf | J.m-2 | 147 | no | yes | surface |
Time-integrated surface sensible heat flux | sshf | J.m-2 | 146 | no | yes | surface |
Time-integrated surface net solar radiation | ssr | J.m-2 | 176 | no | yes | surface |
Time-integrated surface solar radiation downwards | ssrd | J.m-2 | 169 | no | yes | surface |
Time-integrated surface net thermal radiation | str | J.m-2 | 177 | no | yes | surface |
Time-integrated surface thermal radiation downwards | strd | J.m-2 | 175 | no | yes | surface |
Soil heat flux | sohf | W.m-2 | 260364 | no | yes | surface |
al | % | 260509 | no | yes | surface | |
Surface roughness | sr | m | 173 | no | yes | surface |
Table2: Overview of Fields available for the natural land fraction.
Name | ShortName | Unit | GRIB2 CODE | Analysis 0, 3 …, 21 (or daily) | Forecast range 1, 2, 3 | Height |
Snow depth (Instantaneous) | sde | m | 3066 | no | yes | surface |
(Instantaneous) | sd | kg.m-2 | 228141 | no | yes | surface |
(Instantaneous) | rsn | kg.m-3 | 33 | no | yes | surface |
Fraction of snow cover (Instantaneous) | fscov | [0-1] | 260289 | no | yes | surface |
Snow albedo (Instantaneous) | asn | [0-1] | 228032 | no | yes | surface |
Temperature of snow layer (Instantaneous) | tsn | K | 238 | no | yes | surface |
Snow melt (accumulated) | snom | kg m-2 | 3099 | no | yes | surface |
Percolation (accumulated) | perc | kg m-2 | 260430 | no | yes | surface |
Surface runoff (accumulated) | sro | kg m-2 | 174008 | no | yes | surface |
Soil temperature (Instantaneous) | sot | K | 260360 | no | yes | Soil (14 layers) |
Volumetric soil moisture (Instantaneous) | wsw | m3m-3 | 260199 | no | yes | Soil (14 layers) |
Liquid volumetric soil moisture (Instantaneous) | liqvsm | m3m-3 | 260210 | no | yes | Soil (14 layers) |
Table3: Overview of Fields available for the inland water fraction.
Name | ShortName | Unit | GRIB2 CODE | Analysis | Forecast range | Height |
Lake bottom temperature | lblt | K | 228010 | yes | no | surface |
Lake ice depth | licd | m | 228014 | no | yes | surface |
Lake ice surface temperature | lict | K | 228013 | no | yes | surface |
Lake mix-layer depth | lmld | m | 228009 | no | yes | surface |
Lake mix-layer temperature | lmlt | K | 228008 | no | yes | surface |
Lake shape factor | lshf | dimensionless | 228012 | no | yes | surface |
Lake total layer temperature | ltlt | K | 228011 | no | yes | surface |
Table4: Static fields. Parameters labelled with TBD ("To Be Determined") do not yet have short name and GRIB2 code definitions
Name | ShortName | Unit | GRIB2 CODE | Analysis 0, 3 …, 21 (or daily) | Forecast range 1, 2, 3 | Height |
Lake total depth | dl | m | 228007 | no | no | surface |
Volumetric wilting point | vwiltm | m3m-3 | 260200 | no | no | Soil (14 layers) |
voltso | m3m-3 | 260211 | no | no | Soil (14 layers) | |
lsm | [0-1] | 172 | no | no | surface | |
orog | m | 228002 | no | no | surface | |
Inland water tile fraction | TBD | [0-1] | netCDF | no | no | surface |
Urban tile fraction | TBD | [0-1] | netCDF | no | no | surface |
Nature tile fraction | TBD | [0-1] | netCDF | no | no | surface |
Soil parameters
The prognostic variables of soil temperature and soil moisture are represented in the model by a diffusive approach. Such a method proposes a discretization of the soil into 14 layers, resulting in a total depth of 12 m, with a fine description of the subsurface layers to capture the diurnal cycle. The vertical discretization (bottom depth of each layer in metres) is as follows: 0.01, 0.04, 0.1, 0.2, 0.4, 0.6, 0.8, 1, 1.5, 2, 3, 5, 8, and 12 m. Heat transfer is resolved over the total depth, while moisture transfer is resolved only over the depth of the roots, which depends on the type of vegetation and its geographical location.
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