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Currently, ERA5-Land dataset contains only one (9 km) high resolution realisation (HRES). Uncertainty information can currently be used from the reduced resolution ten member ensemble (EDA) of ERA5. The data are available at a sub-daily and monthly frequencies. For convention and consistency with the previous ERA-Interim/Land dataset, the data parameters are labelled as analyses and short (24 hour) forecasts initialised once daily from analyses at 00 UTC. Accumulation parameters are only available from the forecasts.

Data Currently, the data can be downloaded at native resolution via the CDS API or interpolated at only on a regular latitude/longitude grid of 0.1°x0.1° via the CDS catalogue. In the near future the data will be made available in the native grid.

Land Surface Model 

H-TESSEL is the land surface model that is the basis of ERA5-Land. The H-TESSEL version used in the production of ERA5-Land corresponds to that of the IFS model documentation CY45R1.

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A couple of downloading examples to extract the data from MARS or from the CDS using the CDS API are given below:

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Expand
titleBasic CDS API script example to download hourly snow depth (in m of water equivalent) on 1st January 2013 from ERA5-Land data archived in MARSthe CDS


Code Block
languagetext
#!/usr/bin/env python
import cdsapi
 
c = cdsapi.Client()
c.retrieve(
    'reanalysis-era5-land',
 {    #{
 do not change this!
    'classformat'   : 'l5grib',
    'expver'   : '1time',:[
    'stream'   : 'oper',
    '00:00'type'    : 'an,'01:00','02:00',
    'param'   : '141.128',
    'levtype' : 'sfc03:00','04:00','05:00',
       'date'    : '2013-01-01 '06:00','07:00','08:00',
       'time'     '09:00','10:00','11:00',
        :    '00/to/23/by/1',
}, 'snow_20130101_era5land.grib')
Expand
titleBasic CDS API script example to download hourly snow depth (in m of water equivalent) on 1st January 2013 from ERA5-Land data archived in the CDS
Code Block
languagetext
#!/usr/bin/env python
import cdsapi

c = cdsapi.Client()
c.retrieve(
    'reanalysis-era5-land',
    {
 12:00','13:00','14:00',
             'format':'grib',
        'time':[
            '00'15:00','0116:00','02:00',
            '03:00','04:00','05:00',
            '06:00','07:00','08:00',
            '09:00','10:00','11:00',
            '12:00','13:00','14:00',
            '15:00','16:00','17:00',
            '18:00','19:00','20:00',
            '21:00','22:00','23:00'
        ],
        'day':'01',
        'month':'01',
        'year':'2013',
        'variable':'snow_depth_water_equivalent',
    },
    'snow_20130101_era5land.grib')
Expand
titleBasic CDS API script example to download accumulated runoff from 00UTC to 12UTC on 1st January 2013 from ERA5-Land data archived in MARS
Code Block
languagetext
#!/usr/bin/env python
import cdsapi

c = cdsapi.Client()
c.retrieve('reanalysis-era5-land', { # do not change this!
    'class' : 'l5', 
    'expver' : '1',
    'stream' : 'oper',
    'type' : 'fc',
    'param' : '205.12817:00',
            '18:00','19:00','20:00',
            '21:00','22:00','23:00'
        ],
        'day':'01',
        'levtypemonth' : 'sfc01',
        'dateyear' : '2013-01-01',
        'timevariable' : '00'snow_depth_water_equivalent',
    'step' : '12',
}, 'runoff_00-12_ },
    'snow_20130101_era5land.grib')



Expand
titleBasic CDS API script example to download accumulated runoff from 00UTC to 12UTC on 1st January 2013 from ERA5-Land data archived in the CDS


Code Block
languagetext
#!/usr/bin/env python
import cdsapi

c = cdsapi.Client()

c.retrieve(
    'reanalysis-era5-land',
    {
        'variable':'runoff',
        'year':'2013'
        'month':'01',
        'day':'01',
        'time':'12:00',
        'format':'grib'
    },
    'runoff_00-12_20130101_era5land.grib')




Expand
titleOnly for ECMWF member states

The data in the native grid can be accessed from MARS using the keywords class="l5" and expver=0001. Subdivisions of the data are labelled using the keywords 'stream' and 'type'. The keyword 'levtype' should be set to 'sfc' for all the fields in ERA5-Land.

Stream:

  • oper: HRES sub-daily
  • mnth: HRES synoptic monthly means
  • moda: HRES monthly means of daily means

Type (for convention):

  • an: analyses
  • fc: forecasts

Levtype:

  • sfc: surface or single level




Convention used in MARS: the date and time of the data is specified with three MARS keywords, 'date', 'time' and 'step'. For parameters labelled as analyses (see list of parameters), step=0 hours so that date and time specify the analysis time. All forecasts start at 00UTC (time=00 hours), and for parameters labelled as forecasts (see list of parameters), date specifies the forecast start day and step specifies the number of hours since the start of the forecast, with a maximum of step=24 hours. The combination of date, time and forecast step defines the validity date/time. For analyses, the validity date/time is equal to the analysis date/time.

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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°).Note that in order to have access to the native "octahedral grid" (TCo1279) that is archived in MARS, data retrievals should be done via the CDS API (see the examples above). The data are also available through the CDS catalogue, case in which the data have been pre-interpolated to a regular latitude/longitude grid of 0.1°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°).

The article "Model grid box and time step" might be useful.

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Dataset citable as: Copernicus Climate Change Service (C3S) (20172019): C3S ERA5-Land reanalysis . Copernicus Climate Change Service Climate Data Store (CDS), date of access. https://cds.climate.copernicus.eu/cdsapp#!/home

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