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Assessing Multidomain Overlaps and Grand Ensemble Generation in CORDEX Regional Projections

doi: 10.1029/2019gl086799
handle: 10261/221881
AbstractThe Coordinated Regional Climate Downscaling Experiment (CORDEX) initiative has made available an enormous amount of regional climate projections in different domains worldwide. This information is crucial for the development of adaptation strategies and policy‐making. A relevant open issue in this context is assessing the potential multidomain conflicts that may result in overlapping regions and developing appropriate ensemble methods trying to make the most of all available information. This work addresses this timely topic by focusing on precipitation over the Mediterranean region, a first illustrative case study that is encompassed by both the Euro‐ and Africa‐CORDEX domains. We focus on several mean, extreme, and temporal indices and use variance decomposition to assess the separate contribution of the domain and models to the climate change signal, concluding that the contribution of the domain alone is nearly negligible (below in all cases). Nevertheless, for some cases, the combined model/domain effect triggers up to of the total variance.
- Chinese Academy of Meteorological Sciences China (People's Republic of)
- Intergovernmental Panel on Climate Change Switzerland
- University of Paris-Saclay France
- University of Paris France
- Chinese Academy of Meteorological Sciences China (People's Republic of)
IPCC, QC801-809, Geophysics. Cosmic physics, multidomain overlaps, CORDEX, climate change, variance decomposition
IPCC, QC801-809, Geophysics. Cosmic physics, multidomain overlaps, CORDEX, climate change, variance decomposition
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 167 download downloads 159 - 167views159downloads
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