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.
Previous Version(s)
doi:10.1594/WDCC/CHELSA_v1
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: Longitude 0 to 360 Latitude -90 to 90
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
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
[Entry acronym: CHELSA_v1_1] [Entry id: 3511829]
Accuracy report
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.
SQA - Scientific Quality Assurance 'approved by author' 12/10/2016; TQA - Technical Quality Assurance 'approved by WDCC' 11/10/2016
Completeness report
Missing values are indicated with -99999 (ocean).
Specification
Technical Quality Assurance: The number of data sets is checked and not equal 0 [ 69 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 climatology ]
Technical Quality Assurance: The variable description and data are consistent [ done ]
Contact typePersonInstitute
ContactDr. Dirk Nikolaus KargerUniversity of Zurich
AuthorDr. Dirk Nikolaus KargerUniversity of Zurich
AuthorOlaf ConradUniversity of Hamburg
AuthorJürgen BöhnerUniversity of Hamburg
AuthorTobias KawohlUniversity of Hamburg
AuthorHolger KreftUniversity of Göttingen
AuthorRodrigo Wilber Soria-AuzaUniversity of Göttingen
AuthorNiklaus E. ZimmermannSwiss Federal Institute for Forest
AuthorH. Peter LinderUniversity of Zurich
AuthorMichael KesslerUniversity of Zurich
originatorDr. Dirk Nikolaus KargerUniversity of Zurich
metadataDr. Dirk Nikolaus KargerUniversity of Zurich

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

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

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