Data · dataset · 2026
Aerosol-radiation-cloud interactions in a regional coupled model: The effects of convective parameterisation and resolution
Listed in National Center for Atmospheric Research
The Weather Research and Forecasting model with Chemistry (WRF-Chem) has been used to simulate a region of Brazil heavily influenced by biomass burning.
Description
Nested simulations were run at 5 and 1â¯km horizontal grid spacing for three case studies in September 2012. Simulations were run with and without fire emissions, convective parameterisation on the 5â¯km domain, and aerosolâradiation interactions in order to explore the differences attributable to the parameterisations and to better understand the aerosol direct effects and cloud responses.
Direct aerosolâradiation interactions due to biomass burning aerosol resulted in a net cooling, with an average short-wave direct effect of -4.08â±â1.53â¯Wmâ»Â². However, around 21.7â¯Wmâ»Â² is absorbed by aerosol in the atmospheric column, warming the atmosphere at the aerosol layer height, stabilising the column, inhibiting convection, and reducing cloud cover and precipitation. The changes to clouds due to radiatively absorbing aerosol (traditionally known as the semi-direct effects) increase the net short-wave radiation reaching the surface by reducing cloud cover, producing a secondary warming that counters the direct cooling.
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However, the magnitude of the semi-direct effect was found to be extremely sensitive to the model resolution and the use of convective parameterisation. Precipitation became organised in isolated convective cells when not using a convective parameterisation on the 5â¯km domain, reducing both total cloud cover and total precipitation. The SW semi-direct effect varied from 6.06â±â1.46 with convective parameterisation to 3.61â±â0.86â¯Wmâ»Â² without.
Convective cells within the 1â¯km domain are typically smaller but with greater updraft velocity than equivalent cells in the 5â¯km domain, reducing the proportion of the domain covered by cloud in all scenarios and producing a smaller semi-direct effect. Biomass burning (BB) aerosol particles acted as cloud condensation nuclei (CCN), increasing the droplet number concentration of clouds. However, the changes to cloud properties had negligible impact on the net radiative balance in either domain, with or without convective parameterisation.
The sensitivity to the uncertainties relating to the semi-direct effect was greater than any other observable indirect effects. Although the version of WRF-Chem distributed to the community currently lacks aerosolâcloud interactions in parameterised clouds, the results of this study suggest a greater priority for the development is to improve the modelling of semi-direct effects by reducing the uncertainties relating to the use of convective parameterisation and resolution before WRF-Chem can reliably quantify the regional impacts of aerosols.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7s75hzb ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/aerosol-radiation-cloud-interactions-in-a-regional-cou… ↗
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=42b6d410-f1ca-41c9-8d25-cf426feae… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric aerosols 76%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 42b6d410-f1ca-41c9-8d25-cf426feaeb9b | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:370103 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (76%) |
| 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 |