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I just realised that one of the GCMs (among 8 of them I checked), has a totally different range of data (seems rescaled) than the current time (also compared to the other GCMs) which would really cause an issue in climate change studies (projections). The problematic GCM model is "BCC-CSM2-MR". I checked several others, c("CanESM5", "CNRM-CM6-1","CNRM-ESM2-1", "IPSL-CM6A-LR", "MIROC-ES2L", "MIROC6", "MRI-ESM2-0"), and they were OK.
Cheers,
Babak
The text was updated successfully, but these errors were encountered:
I also checked the tile data (tile_20_wc2.1_30s_xxx) for the baseline (30 sec) and I would say the values are not correct for some variables. For instance, I am sure the bio12 has wrong values which are also not consistent with the future projections!
A student of mine ran into the same issue this week: projections for climate model "BCC-CSM2-MR" (bioclimatic variables, 10-minute resolution, 2061-2080) are in a different scale / range of values, and this impacts the projection of species distribution models. It looks like the problem is not in 'geodata' though, but in the source layers (at https://www.worldclim.org/data/cmip6/cmip6climate.html) for that climate model.
Dear Robert,
I just realised that one of the GCMs (among 8 of them I checked), has a totally different range of data (seems rescaled) than the current time (also compared to the other GCMs) which would really cause an issue in climate change studies (projections). The problematic GCM model is "BCC-CSM2-MR". I checked several others, c("CanESM5", "CNRM-CM6-1","CNRM-ESM2-1", "IPSL-CM6A-LR", "MIROC-ES2L", "MIROC6", "MRI-ESM2-0"), and they were OK.
Cheers,
Babak
The text was updated successfully, but these errors were encountered: