Climatologies at high resolution for the earth's land surface areas (Version 1.0)

doi:10.1594/WDCC/CHELSA_v1

Karger, Dirk Nikolaus et al.

ExperimentDOI
Summary
CHELSA_v1.0 (http://chelsa-climate.org/) is a high resolution (30 arc sec, ~1 km) climate data set for the earth land surface areas. Version 1.0 is a first release. It includes monthly and annual mean temperature and precipitation patterns for the time period 1979-2013. CHELSA_v1 is based on a quasi-mechanistical statistical downscaling of the ERA interim global circulation model
(http://www.ecmwf.int/en/research/climate-reanalysis/era-interim) with a GPCC (https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) and GHCN (https://www.ncdc.noaa.gov/ghcnm/) bias correction.
Specifications:
High resolution (30 arcsec, ~1 km)
Precipitation & Temperature
Monthly coverage 1979 - 2013
Incorporation of topoclimate (e.g. orographic rainfall & wind fields). Downscaled ERA-interim model. Allows calculation of derived parameters based on monthly values such as length of dry periods etc.
Newer Version(s)
doi:10.1594/WDCC/CHELSA_v1_1
Project
CHELSA (Climatologies at high resolution for the earth's land surface areas)
Contact
Dr. Dirk Nikolaus Karger (
 dirk.karger@nullsystbot.uzh.ch
)
Location(s)
World
Spatial Coverage
Longitude -180 to 180 Latitude -90 to 90
Temporal Coverage
1980-01-01 to 2013-12-31 (calendrical)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
90.4 GiB (97064723394 Byte)
Format
GeoTIFF
Status
completely archived
Creation Date
Future Review Date
2026-07-12
Cite as
Karger, Dirk Nikolaus; Conrad, Olaf; Böhner, Jürgen; Kawohl, Tobias; Kreft, Holger; Soria-Auza, Rodrigo Wilber; Zimmermann, Niklaus E.; Linder, H. Peter; Kessler, Michael (2016). CHELSA climatologies at high resolution for the earth's land surface areas (Version 1.0). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/CHELSA_v1

BibTeX RIS
[Entry acronym: CHELSA_v1] [Entry id: 3504396]
Accuracy report
For a detailed description of the methods see: (http://128.84.21.199/abs/1607.00217)
CHELSA_v1 is based on a quasi-mechanistical statistical downscaling of the ERA interim global circulation model (http://www.ecmwf.int/en/research/climate-reanalysis/era-interim ) with a GPCC bias correction ( https://www.dwd.de/EN/ourservices/gpcc/gpcc.html ).
Resolution: High resolution (30 arcsec, ~1 km), monthly mean coverage 1979 - 2013
Structure: Incorporation of topoclimate (e.g. orographic rainfall & wind fields)
Global grids with the extent: West 180 E 180 W 90 N 90 S, Cell Size 0.008333, Number of Columns 43207, Number of Rows 21599. Geographic projection
Boundary condition and input data: Downscaled ERA-interim model and incorporation of topoclimate (e.g. orographic rainfall & wind fields)
Avoidance of spatial regression approaches and related problems
Allows calculation of derived parameters based on monthly values such as length of dry periods etc.
The grid extent contains rows larger than that of GMTED2010. This is due to cropping step during the algorithm which created 7 empty rows. This leads to the problem that the data cannot be read correctly into GrassGIS. The issue has be fixed in Version 1.1 (coming soon)
Monthly precipitation Version 1 has no GHCN bias correction (only GPCC). The monthly values therefore do not sum up to the annual values of Version 1.0. This issue has been fixed in Version 1.1 (coming soon).
SQA - Scientific Quality Assurance 'approved by author' 20/09/2016; TQA - Technical Quality Assurance 'approved by WDCC' 20/09/2016
Completeness report
Missing values are indicated with -99999 (ocean).
Areas between 179.284 E and 180 E as well -88.275 and -90 are missing in Version 1.0. This is due to a problem with the SAGA module which is used to transfer the ERA interim grids to a -180 to 180 extent. The algorithm could not wrap around the dateline, leading to missing values. The issue will be addressed in the forthcoming versions.
Specification
Technical Quality Assurance: The number of data sets is checked and not equal 0 [ done ]
Technical Quality Assurance: The size of every data set is not equal 0 [ done ]
Technical Quality Assurance: The data sets and corresponding metadata are all accessible via internet [ done ]
Technical Quality Assurance: The data size is checked and correct [ done ]
Technical Quality Assurance: The format is verified and correct [ done ]
Technical Quality Assurance: The time description is consistent[ done start and stop date checked ]
Technical Quality Assurance: The variable description and data are consistent [ done ]
Contact typePersonORCIDInstitute
Contact Dr. Dirk Nikolaus Karger-University of Zurich
Author Dr. Dirk Nikolaus Karger-University of Zurich
Author Olaf Conrad-University of Hamburg
Author Jürgen Böhner-University of Hamburg
Author Tobias Kawohl-University of Hamburg
Author Holger Kreft-University of Göttingen
Author Rodrigo Wilber Soria-Auza-University of Göttingen
Author Niklaus E. Zimmermann-Swiss Federal Institute for Forest
Author H. Peter Linder-University of Zurich
Author Michael Kessler-University of Zurich
Originator Dr. Dirk Nikolaus Karger-University of Zurich
Metadata Dr. Dirk Nikolaus Karger-University of Zurich

Is previous version of

[1] DOI Karger, Dirk Nikolaus; Conrad, Olaf; Böhner, Jürgen; Kawohl, Tobias; Kreft, Holger; Soria-Auza, Rodrigo Wilber; Zimmermann, Niklaus E.; Linder, H. Peter; Kessler, Michael. (2016). CHELSA climatologies at high resolution for the earth's land surface areas (Version 1.1). doi:10.1594/WDCC/CHELSA_v1_1

Is documented by

[1] DOI Karger, D.N.; Conrad, O.; Böhner, J.; Kawohl, T.; Kreft, H.; Soria-Auza, R.W.; Zimmermann, N.; Linder, H.P.; Kessler, M. (2016). Climatologies at high resolution for the earth's land surface areas. doi:10.1038/sdata.2017.122

Is described by

[1] DOI Karger, D.N.; Conrad, O.; Böhner, J.; Kawohl, T.; Kreft, H.; Soria-Auza, R.W.; Zimmermann, N.; Linder, H.P.; Kessler, M. (2016). Climatologies at high resolution for the earth's land surface areas. doi:10.1038/sdata.2017.122

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