Repository to support the 2021 OceanHackweek project CMIP analysis ready data (ARD) workflow: turning big climate projection data into useful inputs for modelling or analysis
[ ] Regrid the multi-model ensemble onto a single, common grid for further comparison.
Issue background
From the README:
Use case 1: SST & surface nitrate projections for Arabian Sea ecological modelling
A hypothetical ecological model of the Arabian Sea includes basin averaged SST and surface nitrate as inputs. Researchers would like to explore ecosystem responses to future climate change projections under both SSP1-2.6 and SSP5-8.5 scenarios. A monthly timeseries through 2100, averaged over the Arabian Sea, is required from a range of CMIP6 models to start the effort, and ouput in a useful format for import into R is required. Another useful final product would be regridding all models onto a common grid for further comparison.
Are you planning on regridding in R or python?
I dont know R at all, but in python I recommend using xESMF. I have used it quite extensively, and it works amazing!
Description
From the README:
Issue background
From the README: Use case 1: SST & surface nitrate projections for Arabian Sea ecological modelling
A hypothetical ecological model of the Arabian Sea includes basin averaged SST and surface nitrate as inputs. Researchers would like to explore ecosystem responses to future climate change projections under both SSP1-2.6 and SSP5-8.5 scenarios. A monthly timeseries through 2100, averaged over the Arabian Sea, is required from a range of CMIP6 models to start the effort, and ouput in a useful format for import into R is required. Another useful final product would be regridding all models onto a common grid for further comparison.
See also
16 #15