A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
High-resolution and bias-corrected CMIP5 projections for climate change impact assessments
2020
Scientific Data
Projections of climate change are available at coarse scales (70-400 km). But agricultural and species models typically require finer scale climate data to model climate change impacts. Here, we present a global database of future climates developed by applying the delta method -a method for climate model bias correction. We performed a technical evaluation of the bias-correction method using a 'perfect sibling' framework and show that it reduces climate model bias by 50-70%. The data include
doi:10.1038/s41597-019-0343-8
pmid:31959765
fatcat:whw7m2cmgzg3hog4duxwkhcyc4