GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model

P. Zelazowski, C. Huntingford, L.M. Mercado & N. Schaller
This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.