ERA5-Land monthly: Total precipitation, monthly time series for Mauritania at 30 arc seconds (ca. 1000 meter) resolution (2019 - 2023)
ERA5-Land total precipitation monthly time series for Mauritania at 30 arc seconds (ca. 1000 meter) resolution (2019 - 2023)
Source data:
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 to monthly resolution, by calculating the sum of the precipitation per pixel over each month.
File naming:
ERA5_land_monthly_prectot_sum_30sec_YYYY_MM_01T00_00_00_int.tif
e.g.:ERA5_land_monthly_prectot_sum_30sec_2023_12_01T00_00_00_int.tif
The date within the filename is year and month of aggregated timestamp.
Pixel values:
mm * 10
Scaled to Integer, example: value 218 = 21.8 mm
Projection + EPSG code:
Latitude-Longitude/WGS84 (EPSG: 4326)
Spatial extent:
north: 28:18N
south: 14:42N
west: 17:05W
east: 4:49W
Temporal extent:
January 2019 - December 2023
Spatial resolution:
30 arc seconds (approx. 1000 m)
Temporal resolution:
monthly
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:
GRASS GIS 8.3.2
Format: GeoTIFF
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
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
(2024) . ERA5-Land monthly: Total precipitation, monthly time series for Mauritania at 30 arc seconds (ca. 1000 meter) resolution (2019 - 2023). https://gdk.gdi-de.org/geonetwork/srv/api/records/6e9f4ea1-7111-4505-8165-a5857e486584 |
Simple
- Date ( Publication )
- 2024-06-21
- Edition
- Identifier
- 10.5281/zenodo.12189668
- Purpose
- Status
- On going
Point of contact
- Maintenance and update frequency
- As needed
- Keywords ( Theme )
-
- MOOD-H2020
- Precipitation
- Rift Valley fever
- RVF
- Keywords ( Place )
-
- Mauritania
- GEMET - INSPIRE themes, version 1.0 ( Theme )
-
- Human health and safety
- 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
- Other constraints
- { "id": "other-open", "name": "Licence to Use Copernicus Products", "url": "https://ads.atmosphere.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf", "quelle": "Source: Copernicus Programme" }
- Spatial representation type
- Grid
- Distance
- 30 arc-seconds
- Metadata language
- English
- Character set
- UTF8
- Topic category
-
- Geoscientific information
- Health
- Description
- Mauritania
![](https://gdk.gdi-de.org/geonetwork/srv//eng/region.getmap.png?mapsrs=EPSG:3857&width=500&background=osm&geomsrs=EPSG:4326&geom=POLYGON((-4 14,-4 28,-18 28,-18 14,-4 14)))
- Supplemental Information
- Reference system identifier
- EPSG / WGS 84 (EPSG:4326) / 8.6
- Distribution format
-
- GeoTIFF ( )
- OnLine resource
-
ERA5-Land total precipitation 2019
ERA5-Land total precipitation 2019
- OnLine resource
-
ERA5-Land total precipitation 2020
ERA5-Land total precipitation 2020
- OnLine resource
-
ERA5-Land total precipitation 2021
ERA5-Land total precipitation 2021
- OnLine resource
-
ERA5-Land total precipitation 2022
ERA5-Land total precipitation 2022
- OnLine resource
-
ERA5-Land total precipitation 2023
ERA5-Land total precipitation 2023
- 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.
gmd:MD_Metadata
- File identifier
- 6e9f4ea1-7111-4505-8165-a5857e486584 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-07-02T15:36:26
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Point of contact
Overviews
![](https://data.mundialis.de:/geonetwork/srv/api/records/6e9f4ea1-7111-4505-8165-a5857e486584/attachments/00_ERA5_Land_prectot.png)
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