Climatologies at high resolution for the earth's land surface areas (Version 1.1)

doi:10.1594/WDCC/CHELSA_v1_1

Karger, Dirk Nikolaus et al.

ExperimentDOI
Summary
CHELSA_v1.1 (http://chelsa-climate.org/) is a high resolution (30 arc sec, ~1 km) climate data set for the earth land surface areas. It includes monthly and annual mean temperature and precipitation patterns as well as derived bioclimatic and interannual parameters for the time period 1979-2013. CHELSA_v1.1 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.
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
66.12 GiB (70995170519 Byte)
Format
zip-file
Status
completely archived
Creation Date
Future Review Date
2026-10-02
Previous Version(s)
doi:10.1594/WDCC/CHELSA_v1
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 1.1). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/CHELSA_v1_1

BibTeX RIS
Funding
Swiss National Science Foundation
Grant/Award No: 146906 - Unraveling the mechanisms determining the diversity of tropical plant communities: examples from the early diverging land plants
Swiss National Science Foundation
Grant/Award No: 147630 - Testing the limits and constraints of species radiations
Description
For a detailed description of the methods see: (http://128.84.21.199/abs/1607.00217)
CHELSA_v1.1 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.
Resolution: High resolution (30 arcsec, ~1 km), monthly mean coverage 1979 - 2013
Structure: Incorporation of topoclimate (e.g. orographic rainfall wind fields) Downscaled ERA-interim model.
Global grids with the extent: West 180.0001388888 East 179.9998611111 South 90.0001388888 N 83.9998611111, Cell Size 0.0083333333, Number of Columns 43200, Number of Rows 20880. 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.
Description
Missing values are indicated with -99999 (ocean).
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
Result Date
2022-12-08
Result Date
2016-10-12
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2016-10-11
Contact typePersonORCIDOrganization
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Is new 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 1.0). doi:10.1594/WDCC/CHELSA_v1

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

Is referenced by

[1] DOI Tesfahunegn, Gebreyesus Brhane; Wortmann, Charles S. (2017). Maize [Zea Mays (L.)] crop-nutrient response functions extrapolation for Sub-Saharan Africa. doi:10.1007/s10705-017-9887-1
[2] DOI Felber, Raphael; Stoeckli, Sibylle; Calanca, Pierluigi. (1900). Generic calibration of a simple model of diurnal temperature variations for spatial analysis of accumulated degree-days. doi:10.1007/s00484-017-1471-5
[3] DOI Proćków, Małgorzata; Konowalik, Kamil; Proćków, Jarosław. (2020). Contrasting effects of climate change on the European and global potential distributions of two Mediterranean helicoid terrestrial gastropods. doi:10.1007/s10113-019-01573-w

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

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[Entry acronym: CHELSA_v1_1] [Entry id: 3511829]