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ClimateImpactLab / downscaleCMIP6

Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
MIT License
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SSP1-2.6 precipitation data #627

Closed devosse1 closed 2 years ago

devosse1 commented 2 years ago

Downscale version: Conventions: CF-1.7 CMIP-6.2 activity_id: ScenarioMIP contact: climatesci@rhg.com data_specs_version: 01.00.30 Python version: Python 3.9 Operating System: Ubuntu

Description

Actually I am using these downscaled CMIP model data to input it in an ecological model and then compare its result in various performances. I need Precp, Tmax, Tmin But since SSP1-2.6 precipitation data is not present , it is causing be issues. I know in the website, it was written "At the time of running, no ssp1-2.6 precipitation data was available" but I was wondering if it can be run and provided now as it is really important for our projections, a possible timeline will also help. And if it is not possible any alternate that you can suggest? I'll really appreciate your help in regards to it.

delgadom commented 2 years ago

Hi, and thanks for your interest in the data! The footnote you're referencing only applies to the FGOALS-g3 model. SSP 1-2.6 precip simulations are available for all other models which have ssp1-2.6 indicated in the table of available institutions, models, and scenarios by license collection

delgadom commented 2 years ago

I just updated the footnote to more clearly indicate that it only applies to this model:

At the time of running, no ssp1-2.6 precipitation data was available for the FGOALS-g3 model. Therefore, we provide tasmin and tamax for this model and experiment, but not pr. All other model/experiment combinations in the above table include all three variables.

@devosse1 does this address the issue for you?

delgadom commented 2 years ago

closing this as resolved - @devosse1 feel free to reopen or create another issue if you have any other questions!