Data · dataset · 2026
Response of global mesoscale convective systems to increased CO2 and uniform SST warming in a global stormâresolving model
Listed in National Center for Atmospheric Research
Mesoscale convective systems (MCSs) are critical components of global energy and water cycles and significantly contribute to extreme weather events.
Description
However, projecting future MCS behavior remains challenging due to the limitations of regional models and the inadequate representation of MCSs in coarser climate models. In this study, we use GFDL's global storm‐resolving model (GSRM), X‐SHiELD, to explore the response of global MCSs to both increased sea surface temperatures (SST) and elevated CO 2 levels using three sets of unique two‐year‐long warming simulations.
We find that SST warming leads to an increase in MCS occurrence over ocean regions while reducing it over land, whereas elevated CO 2 results in an overall increase over ocean and land. When SST and CO 2 increases are combined, their impacts on MCS changes are generally additive. Using stepwise multiple linear regression, we identify the key environmental drivers of these changes across five MCS hotspots, highlighting the regional variability in MCS responses.
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Furthermore, MCS‐associated precipitation and its contribution to total rainfall are shaped by changes in both MCS frequency and the precipitation intensity within each event. By utilizing the explicit MCS‐resolving capabilities of GSRMs, this study provides critical insights into future changes in MCS characteristics and their implications for global precipitation patterns.
Links
Get the data
- Publisher page n2t.net/ark:/85065/d7pg1x4h ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/response-of-global-mesoscale-convective-systems-to-inc… ↗
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=8d59b04b-26e0-471e-b414-787684fe6… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Climate change science 71%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 8d59b04b-26e0-471e-b414-787684fe693c | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3702 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| 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 | |
| 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 |