Abstract
Climate model (or earth system model) projections are increasingly used for climate adaptation planning and impact assessments. As part of this process, many end-users evaluate a subset of downscaled climate projections without being aware of the implications of downscaling methodology for statistics or event outcomes. Approaches for determining a subset of global climate models to use often focus on values from the raw models, rather than from their downscaled counterparts, in other words assuming that the statistical distribution of the multi-model ensemble does not change post downscaling. This study demonstrates that a downscaled ensemble will typically retain the change distribution as a raw ensemble, but individual models can differ dramatically post-downscaling. We recommend that subset-selection methods account for this possibility and that decision-relevant downscaled climate projections provide proper descriptions of fitness-for-purpose and essential caveats, so that non-specialists can interpret the results with an appropriate level of confidence.
| Original language | English |
|---|---|
| Article number | e2025GL116492 |
| Journal | Geophysical Research Letters |
| Volume | 52 |
| Issue number | 13 |
| DOIs | |
| State | Published - Jul 16 2025 |
Funding
We thank the anonymous reviewers for their comments and critiques to strengthen this article. Funding for this work was provided by the National Aeronautics and Space Administration through the Regional Climate Model Evaluation System (RCMES) project (Award Number: 106029 281945.02.03.03.67). This manuscript has been partially authored by UT‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan. Financial support was provided by the University of Oklahoma Libraries' Open Access Fund.
Keywords
- actionable science
- climate
- climate change
- climate modeling
- downscaling