Daily time series of spatially enhanced relative humidity for Europe at 1000 m resolution (2000 - 2021) derived from ERA5-Land data

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.

Processing steps:

The original hourly ERA5-Land air temperature 2 m above ground and dewpoint temperature 2 m 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 difference of ERA5-Land - aggregated CHELSA

3. interpolate differences with a Gaussian filter to 30 arc seconds.

4. add the interpolated differences to CHELSA

Subsequently, the temperature time series have been aggregated on a daily basis. From these, daily relative humidity has been calculated for the time period 01/2000 - 07/2021.

Relative humidity (rh2m) has been calculated from air temperature 2 m above ground (Ta) and dewpoint temperature 2 m above ground (Td) using the formula for saturated water pressure from Wright (1997):

maximum water pressure = 611.21 * exp(17.502 * Ta / (240.97 + Ta))

actual water pressure = 611.21 * exp(17.502 * Td / (240.97 + Td))

relative humidity = actual water pressure / maximum water pressure

Data provided is the daily averages of relative humidity.

Resultant values have been converted to represent percent * 10, thus covering a theoretical range of [0, 1000].

The data have been reprojected to EU LAEA.

File naming scheme (YYYY = year; MM = month; DD = day):

ERA5_land_rh2m_avg_daily_YYYYMMDD.tif

Projection + EPSG code:

EU LAEA (EPSG: 3035)

Spatial extent:

north: 6874000

south: -485000

west: 869000

east: 8712000

Spatial resolution:

1000 m

Temporal resolution:

Daily

Pixel values:

Percent * 10 (scaled to Integer; example: value 738 = 73.8 %)

Software used:

GDAL 3.2.2 and GRASS GIS 8.0.0

Original ERA5-Land dataset license:

https://apps.ecmwf.int/datasets/licences/copernicus/

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

Processed by:

mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/)

Reference: Wright, J.M. (1997): Federal meteorological handbook no. 3 (FCM-H3-1997). Office of Federal Coordinator for Meteorological Services and Supporting Research. Washington, DC

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.

Simple

Date ( Publication )
2022-12-13
Identifier
dataset
Status
On going
Point of contact
mundialis GmbH & Co. KG - Markus Metz ( )

https://www.mundialis.de/en/
Maintenance and update frequency
As needed
Keywords ( Theme )
  • relative humidity
  • geospatial analysis
  • environment
  • meteorology
  • ERA5-Land
  • CHELSA
  • MOOD-H2020
Keywords ( Place )
  • Europe
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Atmospheric conditions
  • Meteorological geographical features
Use limitation
None
Access constraints
Other restrictions
Other constraints
no limitations to public access
Access constraints
Other restrictions
Use constraints
License
Other constraints
Creative Commons Namensnennung – 4.0 International (CC BY 4.0)
Other constraints
{ "id": "cc-by/4.0", "name": "Creative Commons Namensnennung – 4.0 International", "url": "http://creativecommons.org/licenses/by/4.0/", "quelle": "Source: mundialis GmbH & Co. KG" }
Aggregate Datasetindentifier
ab06ed25-84af-43c9-b1c3-57e3b6ad8d29
Association Type
Cross reference
Aggregate Datasetindentifier
ddbbc194-7000-4ff3-9d41-8d99ad90bc6c
Association Type
Cross reference
Spatial representation type
Grid
Distance
1000 m
Metadata language
en
Character set
UTF8
Topic category
  • Geoscientific information
  • Climatology, meteorology, atmosphere
Description
Europe
Begin date
2000-01-01
End date
2021-07-31
N
S
E
W
thumbnail


Unique resource identifier
EPSG:3035
Distribution format
  • GeoTIFF ( )

OnLine resource
Daily Relative Humidity (2000 - 2004) ( WWW:DOWNLOAD-1.0-http--download )

Daily Relative Humidity (2000 - 2004)

OnLine resource
Daily Relative Humidity (2005 - 2009) ( WWW:DOWNLOAD-1.0-http--download )

Daily Relative Humidity (2005 - 2009)

OnLine resource
Daily Relative Humidity (2010 - 2014) ( WWW:DOWNLOAD-1.0-http--download )

Daily Relative Humidity (2010 - 2014)

OnLine resource
Daily Relative Humidity (2015 - 2019) ( WWW:DOWNLOAD-1.0-http--download )

Daily Relative Humidity (2015 - 2019)

OnLine resource
Daily Relative Humidity (2020 - 2021) ( WWW:DOWNLOAD-1.0-http--download )

Daily Relative Humidity (2020 - 2021)

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
Yes
Statement
derived from ERA5-Land reanalysis data, spatially enhanced by image fusion with CHELSA data

gmd:MD_Metadata

File identifier
c3bfc5ce-03dd-4cb7-9600-4a5587733c80 XML
Metadata language
en
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2022-12-14T15:15:36
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
mundialis GmbH & Co. KG - ( )

https://www.mundialis.de/en/

Citation proposal


(2022) . Daily time series of spatially enhanced relative humidity for Europe at 1000 m resolution (2000 - 2021) derived from ERA5-Land data.
https://data.opendatascience.eu/geonetwork/srv/api/records/c3bfc5ce-03dd-4cb7-9600-4a5587733c80

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