Data · dataset · 2026
Soil moisture memory in AGCM simulations: Analysis of global land-atmosphere coupling experiments (GLACE) data
Listed in National Center for Atmospheric Research
Soil moisture memory is a key aspect of land-atmosphere interaction and has major implications for seasonal forecasting.
Description
Because of a severe lack of soil moisture observations on most continents, existing analyses of global-scale soil moisture memory have relied previously on atmospheric general circulation model (AGCM) experiments, with derived conclusions that are probably model dependent. The present study is the first survey examining and contrasting global-scale (near) monthly soil moisture memory characteristics across a broad range of AGCMs.
The investigated simulations, performed with eight different AGCMs, were generated as part of the Global Land-Atmosphere Coupling Experiment.', Overall, the AGCMs present relatively similar global patterns of soil moisture memory. Outliers are generally characterized by anomalous water-holding capacity or biases in radiation forcing. Water-holding capacity is highly variable among the analyzed AGCMs and is the main factor responsible for intermodel differences in soil moisture memory.
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Therefore, further studies on this topic should focus on the accurate characterization of this parameter for present AGCMs. Despite the range in the AGCMs' behavior, the average soil moisture memory characteristics of the models appear realistic when compared to available in situ soil moisture observations. An analysis of the processes controlling soil moisture memory in the AGCMs demonstrates that it is mostly controlled by two effects: evaporation's sensitivity to soil moisture, which increases with decreasing soil moisture content, and runoff's sensitivity to soil moisture, which increases with increasing soil moisture content.
Soil moisture memory is highest in regions of medium soil moisture content, where both effects are small.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7c24wrc ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/soil-moisture-memory-in-agcm-simulations-analysis-of-g… ↗
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=7df3577f-45ca-4e59-9991-a8383a2e7… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Physical geography and environmental geoscience 72%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 7df3577f-45ca-4e59-9991-a8383a2e747e | 13 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 (72%) |
| 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 |