ERA5-Land weekly: Total precipitation, weekly time series for Europe at 1 km resolution (2016 - 2020)
Overview:
ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.
Total precipitation:
Accumulated liquid and frozen water, including rain and snow, that falls to the Earth's surface. It is the sum of large-scale precipitation (that precipitation which is generated by large-scale weather patterns, such as troughs and cold fronts) and convective precipitation (generated by convection which occurs when air at lower levels in the atmosphere is warmer and less dense than the air above, so it rises). Precipitation variables do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. This variable is accumulated from the beginning of the forecast time to the end of the forecast step. The units of precipitation are depth in metres. It is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model variables with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.
Processing steps:
The original hourly ERA5-Land data has been spatially enhanced from 0.1 degree to 30 arc seconds (approx. 1000 m) spatial resolution by image fusion with CHELSA data (V1.2) (https://chelsa-climate.org/). For each day we used the corresponding monthly long-term average of CHELSA. The aim was to use the fine spatial detail of CHELSA and at the same time preserve the general regional pattern and fine temporal detail of ERA5-Land. The steps included aggregation and enhancement, specifically:
1. spatially aggregate CHELSA to the resolution of ERA5-Land
2. calculate proportion of ERA5-Land / aggregated CHELSA
3. interpolate proportion with a Gaussian filter to 30 arc seconds
4. multiply the interpolated proportions with CHELSA
Using proportions ensures that areas without precipitation remain areas without precipitation. Only if there was actual precipitation in a given area, precipitation was redistributed according to the spatial detail of CHELSA.
The spatially enhanced daily ERA5-Land data has been aggregated on a weekly basis starting from Saturday for the time period 2016 - 2020.
Data available is the weekly average of daily sums and the weekly sum of daily sums of total precipitation.
File naming:
Average of daily sum: era5_land_prectot_avg_weekly_YYYY_MM_DD.tif
Sum of daily sum: era5_land_prectot_sum_weekly_YYYY_MM_DD.tif
The date in the file name determines the start day of the week (Saturday).
Pixel values:
mm * 10
Example: Value 218 = 21.8 mm
Coordinate reference system:
ETRS89 / LAEA Europe (EPSG:3035) (EPSG:3035)
Spatial extent:
north: 82:00:30N
south: 18N
west: 32:00:30W
east: 70E
Spatial resolution:
1km
Temporal resolution:
weekly
Period:
01/01/2016 - 12/31/2020
Lineage:
Dataset has been processed from original Copernicus Climate Data Store (ERA5-Land) data sources. As auxiliary data CHELSA climate data has been used.
Software used:
GDAL 3.2.2 and GRASS GIS 8.0.0 (r.resamp.stats -w; r.relief)
Original ERA5-Land dataset license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
CHELSA climatologies (V1.2):
Data used: Karger D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth's land surface areas. Dryad digital repository. http://dx.doi.org/doi:10.5061/dryad.kd1d4
Original peer-reviewed publication: Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. https://doi.org/10.1038/sdata.2017.122
Other resources:
Format: GeoTIFF
Representation type: Grid
Processed by:
mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/)
Contact:
mundialis GmbH & Co. KG, info@mundialis.de
Acknowledgements:
This study was partially funded by EU grant 874850 MOOD. The contents of this publication are the sole responsibility of the authors and don't necessarily reflect the views of the European Commission.
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Citation proposal
(2021) . ERA5-Land weekly: Total precipitation, weekly time series for Europe at 1 km resolution (2016 - 2020). https://gdk.gdi-de.org/geonetwork/srv/api/records/1d2911b1-38f3-4bf2-81ec-2afd0e4a4325 |
Simple
- Date ( Publication )
- 2021-12-06
- Identifier
- 10.5281/zenodo.6559048
- Purpose
- Status
- On going
Point of contact
- Maintenance and update frequency
- As needed
- Keywords ( Theme )
-
- precipitation
- Continents, countries, sea regions of the world. ( Place )
-
- Europe
- GEMET - INSPIRE themes, version 1.0 ( Theme )
-
- Meteorological geographical features
- Keywords ( Theme )
-
- MOOD-H2020
- Tularaemia
- Leptospirosis
- Mosquito borne Flaviviruses
- Use limitation
- Licence to Use Copernicus Products
- Access constraints
- Other restrictions
- Use constraints
- Intellectual property rights
- Other constraints
- Licence to Use Copernicus Products (Version 1.2, Nov. 2019): "All users of Copernicus Products must provide clear and visible attribution to the Copernicus programme. The Licensee will communicate to the public the source of the Copernicus Products by crediting the Copernicus Climate Change and Atmosphere Monitoring Services" (full licence available here: https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
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- Association Type
- Cross reference
- Spatial representation type
- Grid
- Distance
- 1 km
- Metadata language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Geoscientific information
- Health
- Climatology, meteorology, atmosphere
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- Distribution format
-
- GeoTIFF ( )
- OnLine resource
-
weekly average
weekly average
- OnLine resource
-
weekly sum
weekly sum
- Hierarchy level
- Dataset
Conformance result
- Date ( Publication )
- 2010-12-08
- Other citation details
- http://data.europa.eu/eli/reg/2010/1089/2014-12-31
- Explanation
- See specified reference
- Pass
- true
- Statement
- Dataset has been processed from original Copernicus Climate Data Store (ERA5-Land) data sources. As auxiliary data CHELSA climate data has been used.
Process step
gmd:MD_Metadata
- File identifier
- 1d2911b1-38f3-4bf2-81ec-2afd0e4a4325 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-07-02T13:09:39
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Point of contact
Overviews
![](https://data.mundialis.de:/geonetwork/srv/api/records/1d2911b1-38f3-4bf2-81ec-2afd0e4a4325/attachments/ERA5_weekly_prectot.png)
Provided by
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