Data · dataset · 2026
Evaluating large-storm dominance in high-resolution GCMs and observations across the western contiguous United States
Listed in National Center for Atmospheric Research
Extreme precipitation events are projected to increase in frequency across much of the land-surface as the global climate warms, but such projections have typically relied on coarse-resolution (100-250 km) general circulation models (GCMs).
Description
The ensemble of HighResMIP GCMs presents an opportunity to evaluate how a more finely resolved atmosphere and land-surface might enhance the fidelity of the simulated contribution of large-magnitude storms to total precipitation, particularly across topographically complex terrain.
Here, the simulation of large-storm dominance, that is, the number of wettest days to reach half of the total annual precipitation, is quantified across the western United States (WUS) using four GCMs within the HighResMIP ensemble and their coarse resolution counterparts. Historical GCM simulations (1950-2014) are evaluated against a baseline generated from station-observed daily precipitation (4,803 GHCN-D stations) and from three gridded, observationally based precipitation data sets that are coarsened to match the resolution of the GCMs.
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All coarse-resolution simulations produce less large-storm dominance than in observations across the WUS. For two of the four GCMs, bias in the median large-storm dominance is reduced in the HighResMIP simulation, decreasing by as much as 62% in the intermountain west region. However, the other GCMs show little change or even an increase (+28%) in bias of median large-storm dominance across multiple sub-regions.
The spread in differences with resolution amongst GCMs suggests that, in addition to resolution, model structure and parameterization of precipitation generating processes also contribute to bias in simulated large-storm dominance.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d71r6vrh ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/evaluating-large-storm-dominance-in-high-resolution-gc… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=f8357736-d071-4bac-94b1-6bc9b092c… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Physical geography and environmental geoscience 70% · Simulation 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | f8357736-d071-4bac-94b1-6bc9b092cf7e | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3709 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |