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Chclim25 - bioclimatic variables (biovars)

<p>Bioclimatic variables are calculated from CHclim25 minimum (Tmin) and maximum temperature (Tmax) and sum of precipitation (Prec)&nbsp;using function&nbsp;<a href="https://rdrr.io/cran/dismo/man/biovars.html">biovars</a> in the R package dismo. Individual years, current average (1981-2010) and future average (2020-2049, 2045-2074, and 2070-2099)<strong>&nbsp;</strong>layers can be downloaded from separate zip files.&nbsp;</p> <p>Future layers are based on the transient daily time series of gridded climate scenarios of temperature&nbsp;at 0.02&deg;D (~2.2 km) provided by the&nbsp;<a href="https://www.nccs.admin.ch/nccs/en/home/climate-change-and-impacts/swiss-climate-change-scenarios/ch2018---climate-scenarios-for-switzerland.html">CH2018 initiative</a>.&nbsp;We calculated future climatic layers for 4 GCMs (HADGEM, ECEARTH, MPIESM, and IPSL), 3 time slices (2020-2049, 2045-2074, and 2070-2099) and 3 representative concentration pathways (RCP 2.6, 4.5 and 8.5)</p> <p>The layer files are stored in compressed GeoTIFF format with the &ldquo;deflate&rdquo; algorithm with option &ldquo;predictor2&rdquo; from the GDAL. This format has&nbsp;a high compression ratio but allows&nbsp;direct import in most GIS softwares. All the maps are projected in the Swiss coordinate system CH 1903+ LV95 (epsg:2056) with a resolution of 25x25m using the extent of the digital height model DHM25 of the Swiss office for topography (swisstopo).</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4