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Here we document the ERA5-Land dataset, which , eventually, will cover covers the same period as ERA5, January 1950 to near real time (NRT). ERA5-Land data released so far covers the period from 1950 to 2-3 months before the present. In addition, the facility to deliver timely close to Near-Real-Time (NRT) updates is being implemented and it will be made available shortly. This ERA5-Land timely updates NRT facility (hereafter called ERA5-LandT) will be synchronized with the timely updates those of the ERA5 climate reanalysis (ERA5T).
ERA5-Land is a replay of the land component of the ERA5 climate reanalysis, but forced by meteorological fields from ERA5. Note that ERA5-Land always uses forcing fields based on the final release of ERA5 (i.e., expver=0001). ERA5-Land comes with a series of improvements making it more accurate for all types of land applications. In particular, ERA5-Land runs at enhanced resolution (9 km vs 31 km in ERA5). The temporal frequency of the output is hourly and the fields are masked for all oceans, making them lighter to handle. Click this link here for comparison of the ERA5-Land features against other ECMWF reanalyses.
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Table 0: the mapping, for forecasts, between MARS date, time and step and the CDS date and time
CDS date time | MARS date time step | CDS date time | MARS date time step | |
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date 00 | date-1 0 24 | date 12 | date 0 12 | |
date 01 | date 0 1 | date 13 | date 0 13 | |
date 02 | date 0 2 | date 14 | date 0 14 | |
date 03 | date 0 3 | date 15 | date 0 15 | |
date 04 | date 0 4 | date 16 | date 0 16 | |
date 05 | date 0 5 | date 17 | date 0 17 | |
date 06 | date 0 6 | date 18 | date 0 18 | |
date 07 | date 0 7 | date 19 | date 0 19 | |
date 08 | date 0 8 | date 20 | date 0 20 | |
date 09 | date 0 9 | date 21 | date 0 21 | |
date 10 | date 0 10 | date 22 | date 0 22 | |
date 11 | date 0 11 | date 23 | date 0 23 |
Spatial grid
The ERA5-Land HRES dataset has been produced at a resolution of 9 km, (~0.08°) and in a (octahedral) reduced Gaussian grid (represented as TCo1279). Currently, the uncertainty of the fields is to be obtained from the ERA5 EDA dataset, which has a resolution of 62km (~0.56°).
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Table 1: surface parameters: invariants (in time)
name | units | shortName | paramId | GRIB1 | GRIB2 | netCDF4 |
---|---|---|---|---|---|---|
Geopotential (GRIB version 1) Geopotential (GRIB version 2) Geopotential (netCDF4) | m**2 s**-2 | z | 129 | x | x | x |
Lake cover (GRIB version 2) Lake cover (netCDF4) | (0-1) | cl | 26 | x | x | |
Land-sea mask (GRIB version 2) Land-sea mask (netCDF4) | (0-1) | lsm | 172 | x | x | |
Low vegetation cover (GRIB version 2) Low vegetation cover (netCDF4) | (0 - 1) | cvl | 27 | x | x | |
High vegetation cover (GRIB version 2) High vegetation cover (netCDF4) | (0 - 1) | cvh | 28 | x | x | |
Surface roughness (GRIB version 1) Surface roughness (netCDF4) | m | sr | 173 | x | x | |
Soil type (GRIB version 2) Soil type(netCDF4) | ~ | slt | 43 | x | x | |
Type of low vegetation (GRIB version 1) Type of low vegetation (netCDF4) | ~ | tvl | 29 | x | x | |
Type of high vegetation (GRIB version 1) Type of high vegetation (netCDF4) | ~ | tvh | 30 | x | x |
Table 2: stream=oper/mnth/moda, levtype=sfc: surface parameters: instantaneous
name | units | Variable name in CDS | shortName | paramId | an | fc | GRIB1 | GRIB2 | Used as forcing field | |
---|---|---|---|---|---|---|---|---|---|---|
1 | K | lake_mix_layer_temperature | lmlt | 228008 | x | x | ||||
2 | m | lake_mix_layer_depth | lmld | 228009 | x | x | ||||
3 | K | lake_bottom_temperature | lblt | 228010 | x | x | ||||
4 | K | lake_total_layer_temperature | ltlt | 228011 | x | x | ||||
5 | dimensionless | lake_shape_factor | lshf | 228012 | x | x | ||||
6 | K | lake_ice_temperature | lict | 228013 | x | x | ||||
7 | m | lake_ice_depth | licd | 228014 | x | x | ||||
8 | Snow cover | % | snow_cover | snowc | 260038 | x | x | |||
9 | Snow depth | m | snow_depth | sde | 3066 | x | x | |||
10 | (0 - 1) | snow_albedo | asn | 32 | x | x | ||||
11 | kg m**-3 | snow_density | rsn | 33 | x | x | ||||
12 | m**3 m**-3 | volumetric_soil_water_layer_1 | swvl1 | 39 | x | x | ||||
13 | m**3 m**-3 | volumetric_soil_water_layer_2 | swvl2 | 40 | x | x | ||||
14 | m**3 m**-3 | volumetric_soil_water_layer_3 | swvl3 | 41 | x | x | ||||
15 | m**3 m**-3 | volumetric_soil_water_layer_4 | swvl4 | 42 | x | x | ||||
16 | m**2 m**-2 | leaf_area_index_low_vegetation | lai_lv | 66 | x | x | ||||
17 | m**2 m**-2 | leaf_area_index_high_vegetation | lai_hv | 67 | x | x | ||||
18 | Pa | surface_pressure | sp | 134 | x | x | x | |||
19 | K | soil_temperature_level_1 | stl1 | 139 | x | x | ||||
20 | m of water equivalent | snow_depth_water_equivalent | sd | 141 | x | x | ||||
21 | m s**-1 | 10m_u_component_of_wind | u10 | 165 | x | x | x | |||
22 | m s**-1 | 10m_v_component_of_wind | v10 | 166 | x | x | x | |||
23 | K | 2m_temperature | 2t | 167 | x | x | ||||
24 | K | 2m_dewpoint_temperature | 2d | 168 | x | x | ||||
25 | K | soil_temperature_level_2 | stl2 | 170 | x | x | ||||
26 | K | soil_temperature_level_3 | stl3 | 183 | x | x | ||||
27 | m of water equivalent | skin_reservoir_content | src | 198 | x | |||||
28 | K | skin_temperature | skt | 235 | x | x | ||||
29 | K | soil_temperature_level_4 | stl4 | 236 | x | x | ||||
30 | K | temperature_of_snow_layer | tsn | 238 | x | x | ||||
31 | (0 - 1) | forecast_albedo | fal | 243 | x | x |
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Table 3: stream=oper/mnth/moda, levtype=sfc: surface parameters: accumulations
name | units | Variable name in CDS | shortName | paramId | an | fc | GRIB1 | GRIB2 | Used as forcing field | |
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1 | m | surface_runoff | sro | 8 | x | x | ||||
2 | m | sub_surface_runoff | ssro | 9 | x | x | ||||
3 | m of water equivalent | snowmelt | smlt | 45 | x | x | ||||
4 | m of water equivalent | snowfall | sf | 144 | x | x | x | |||
5 | Surface sensible heat flux | J m**-2 | surface_sensible_heat_flux | sshf | 146 | x | x | |||
6 | Surface latent heat flux | J m**-2 | surface_latent_heat_flux | slhf | 147 | x | x | |||
7 | Surface solar radiation downwards | J m**-2 | surface_solar_radiation_downwards | ssrd | 169 | x | x | x | ||
8 | Surface thermal radiation downwards | J m**-2 | surface_thermal_radiation_downwards | strd | 175 | x | x | x | ||
9 | Surface net solar radiation | J m**-2 | surface_net_solar_radiation | ssr | 176 | x | x | x | ||
10 | Surface net thermal radiation | J m**-2 | surface_net_thermal_radiation | str | 177 | x | x | x | ||
11 | m of water equivalent | total_evaporation | e | 182 | x | x | ||||
12 | m | runoff | ro | 205 | x | x | ||||
13 | m | total_precipitation | tp | 228 | x | x | x | |||
14 | Evaporation from the top of canopy | m of water equivalent | evaporation_from_the_top_of_canopy | evatc | 228100 | x | x | |||
15 | Evaporation from bare soil | m of water equivalent | evaporation_from_bare_soil | evabs | 228101 | x | x | |||
16 | Evaporation from open water surfaces excluding oceans | m of water equivalent | evaporation_from_open_water_surfaces_excluding_oceans | evaow | 228102 | x | x | |||
17 | Evaporation from vegetation transpiration | m of water equivalent | evaporation_from_vegetation_transpiration | evavt | 228103 | x | x | |||
18 | m | potential_evaporation | pev | 228251 | x | x |
Accumulations are described in section ERA5-Land: data documentation#accumulations. The accumulations in monthly means (stream=moda/mnth) are described in section monthly means
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