I downloaded the future climate bioclimatic variables at 10m resolution for 2081-2100 for the BCC-CSM2-MR model (ssp126) but temperature values for bio1 (Mean Annual Temperature) seem unrealistic (values higher than 80°C), compared to historical (worldclim2.1, 1970-2000) data (see information and figures attached).
Any suggestions/comment would be much appreciated.
Information
bio1_BCC-CSM2-MR_1970-2000(https://geodata.ucdavis.edu/climate/worldclim/2_1/base/wc2.1_10m_bio.zip)
class: RasterLayer
dimensions: 1080, 2160, 2332800 (nrow, ncol, ncell)
resolution: 0.1666667, 0.1666667 (x, y)
extent: -180, 180, -90, 90 (xmin, xmax, ymin, ymax)
crs: +proj=longlat +datum=WGS84 +no_defs
source: wc2.1_10m_bio_1.tif
names: wc2.1_10m_bio_1
values: -54.72435, 30.98764 (min, max)
bio1_BCC-CSM2-MR_2081-2100 (https://geodata.ucdavis.edu/cmip6/10m/BCC-CSM2-MR/ssp126/wc2.1_10m_bioc_BCC-CSM2-MR_ssp126_2081-2100.tif)
class: RasterLayer dimensions: 1080, 2160, 2332800 (nrow, ncol, ncell) resolution: 0.1666667, 0.1666667 (x, y) extent: -180, 180, -90, 90 (xmin, xmax, ymin, ymax) crs: +proj=longlat +datum=WGS84 +no_defs source: wc2.1_10m_bioc_BCC-CSM2-MR_ssp126_2081-2100_bio1.tif names: wc2.1_10m_bioc_BCC.CSM2.MR_ssp126_2081.2100_bio1 values: -15.6, 84 (min, max)
Yes, the temperatures for 2081-2100 are unrealistic if they are in °C. But take °F instead, then it seems more realistic (range from - 18°C to 27°C).
Dear Ying,
Did you check the other model outputs too? This is really strange especially for temperature! But yet you can encounter this kind of problems when you work with GCM outputs. This is why you should use multi-model ensembles and you should eliminate the models with outlier for your interested domain.
Good luck,
Dear Ying,
I had the same problem here. It is really weird. Have you found a suitable solution?
Good luck
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