@cristiproist For regional projections, my emphasis has been on assessing credibility and diversity: testing model performance for a wide variety of metrics incl. process metrics, and combining it w/ info on model interdependence and diversity in regional
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@cristiproist I picked 21-100 (think it's closer to the lower end) based on this super-specific example from our regional work: https://t.co/rj07IqwrVC. Seven clusters capture the diversity in regional summer precip projections across 36 CMIP5 models. htt
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@H2O_Soni @Shiva_Shresta @universityofri @URI_GEO @uricels Our study from 2019 might be of interest. Based on a rigorous, process-level evaluation of climate models, we sub-selected a set of models to be used in studies of regional extremes and impacts. ht
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RT @AnjiSeth: Great working with @kar_amb, @jmthibeault, and A Bryan! https://t.co/0msCbhtVQJ