There is a newer version of the record available.

Published February 18, 2022 | Version 1.0.0
Dataset Open

Monthly time series of spatially enhanced relative humidity for Europe at 30 arc seconds resolution (2000 - 2021) derived from ERA5-Land data

  • 1. mundialis GmbH & Co. KG
  • 2. Environmental Research Group Oxford Ltd
  • 3. Waen Associates Ltd

Description

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

The resulting relative humidity has been aggregated to monthly averages.

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

File naming scheme (YYYY = year; MM = month):
ERA5_land_rh2m_avg_monthly_YYYY_MM.tif

Projection + EPSG code:
Latitude-Longitude/WGS84 (EPSG: 4326)

Spatial extent:
north: 82:00:30N
south: 18N
west: 32:00:30W
east: 70E

Spatial resolution:
30 arc seconds (approx. 1000 m)

Temporal resolution:
Monthly

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

Data is also available in EU LAEA (EPSG: 3035) projection: https://zenodo.org/record/7427022

Notes

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.

Files

00_ERA5_relative_humidity.png

Files (6.2 GB)

Name Size Download all
md5:47e7dc2fb7dd7b7c49fb6e3408d32f0f
1.1 MB Preview Download
md5:c84e2c7bb60b13f7878276100f6f83ba
20.1 kB Preview Download
md5:35889be78d4c26056527be673c8046ea
284.3 MB Preview Download
md5:61ff6b9742936ca0a2b679e53493a282
283.9 MB Preview Download
md5:fbcb692b6b04976f7ee661679f6ef962
284.7 MB Preview Download
md5:40af0d2ff5a16f9fffae4786821bd671
285.7 MB Preview Download
md5:4e961a5c1aa06ed8a2bdd0928ca4f949
285.6 MB Preview Download
md5:907a6c5290b2c7371189cc5c71a2e45b
288.1 MB Preview Download
md5:1c3ba3e5de012c77839a25eaf603a9bf
287.6 MB Preview Download
md5:222ea080b3df1cd66ba760fd94c85297
284.5 MB Preview Download
md5:1a73cccb3dc7b413865134b6f89675fc
285.9 MB Preview Download
md5:b2394aafb2e26a2c5b28cceb9f48a9e3
286.5 MB Preview Download
md5:032754948a2d7a792c4fd3b50d4724d9
283.6 MB Preview Download
md5:d4c85b53b5f0a4587bb0cf1e1c3e1300
289.3 MB Preview Download
md5:84679c1eb5c0927e048701067179c035
285.7 MB Preview Download
md5:18187c9a83089c9011e490d3cf12f63d
284.9 MB Preview Download
md5:b38f58829266903903408cf02de7f88f
283.4 MB Preview Download
md5:338ca04a2c9bdc18e0d8dadfcde183f2
285.6 MB Preview Download
md5:4f80f7c80a044e2e6a8516e9ef5301dd
283.2 MB Preview Download
md5:525fbaaab77f26968853c07ef2a93c67
286.3 MB Preview Download
md5:eba145eec942a8db16ce4a9bbd9d8493
287.5 MB Preview Download
md5:2d7d4a3e7563c4bd24515e7fb732d7a7
284.7 MB Preview Download
md5:58172c89b784da77ca60c33da91dcd2d
284.2 MB Preview Download
md5:899571ad620cd2e97c1696e6d34d2c2c
166.1 MB Preview Download

Additional details