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
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
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.
Completeness report
Missing values are indicated with -99999 (ocean).
Description
Missing values are indicated with -99999 (ocean).
FAIR
F-UJI result: total 66 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2016-10-12
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
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
[1] DOITesfahunegn, 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] DOIFelber, 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] DOIProćków, 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] DOIKarger, 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] DOIKarger, 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] DOIKarger, 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