ERA5 Land precipitation daily sum

Overview:

era5.copernicus: precipitation daily sums from 2000 to 2020 resampled with CHELSA to 1 km resolution

Traceability (lineage):

The data sources used to generate this dataset are ERA5-Land hourly data from 1950 to present (Copernicus Climate Data Store) and CHELSA monthly climatologies.

Scientific methodology:

The methodology used for downscaling follows established procedures as used by e.g. Worldclim and CHELSA.

Usability:

The substantial improvement of the spatial resolution together with the high temporal resolution of one day further improve the usability of the original ERA5 Land time series product which is useful for all kind of land surface applications such as flood or drought forecasting. The temporal and spatial resolution of this dataset, the period covered in time, as well as the fixed grid used for the data distribution at any period enables decisions makers, businesses and individuals to access and use more accurate information on land states.

Uncertainty quantification:

The ERA5-Land dataset, as any other simulation, provides estimates which have some degree of uncertainty. Numerical models can only provide a more or less accurate representation of the real physical processes governing different components of the Earth System. In general, the uncertainty of model estimates grows as we go back in time, because the number of observations available to create a good quality atmospheric forcing is lower. ERA5-land parameter fields can currently be used in combination with the uncertainty of the equivalent ERA5 fields.

Data validation approaches:

Validation of the ERA5 Land ddataset against multiple in-situ datasets is presented in the reference paper (Muñoz-Sabater et al., 2021).

Completeness:

The dataset covers the entire Geo-harmonizer region as defined by the landmask raster dataset. However, some small islands might be missing if there are no data in the original ERA5 Land dataset.

Consistency:

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.

Positional accuracy:

1 km spatial resolution

Temporal accuracy:

Daily maps for the years 2020-2020.

Thematic accuracy:

The raster values represent cumulative daily precipitation in mm x 10.

Simple

Date ( Publication )
NaT
Identifier
unknown
Status
Under development
Author
- Markus Metz ( )

Point of contact
- Markus Metz

Maintenance and update frequency
As needed
Keywords ( Theme )
  • climate
  • Geoharmonizer
  • geoharvester
  • geodata
Keywords ( Place )
  • Europe
GEMET - INSPIRE themes, version 1.0 ( Theme )
Use limitation
None
Access constraints
Copyright
Use constraints
otherRestictions
Distance
1000 m
Metadata language
eng
Character set
UTF8
Topic category
  • Environment
Begin date
01012000-31122020-01-01
End date
01012000-31122020-12-31
N
S
E
W
thumbnail


Reference system identifier
EPSG:3035
Number of dimensions
2
Dimension name
Row
Resolution
1000 m
Dimension name
Column
Resolution
1000 m
Cell geometry
Area
Distribution format
  • GeoTIFF ( XY )

  • OGC WMS ( 1.3 )

OnLine resource
gh:clm-prec-era5Xcopernicus-sum-1km-200XX200cm--eumap-epsg3035-v0X1 ( OGC:WMS )

WMS browse by specifying date (add eg. "&DIM_DATE=20191120")

Hierarchy level
Dataset

Conformance result

Date
2010-12-08
Explanation
See specified reference
Pass
Yes
Statement
derived from XY

gmd:MD_Metadata

File identifier
0f6e456c-487e-4cbb-9bda-7b15ab393119 XML
Metadata language
en
Character set
UTF8
Date stamp
2021-01-14T10:37:57
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
- Markus Metz ( )

Citation proposal


Markus Metz () (NaT) . ERA5 Land precipitation daily sum.
https://data.opendatascience.eu/geonetwork/srv/api/records/0f6e456c-487e-4cbb-9bda-7b15ab393119

Overviews

overview

Provided by

Share on social sites

Associated resources

Not available