Quantifying the circulation induced by convective clouds in kilometer‐scale simulations. (22nd February 2021)
- Record Type:
- Journal Article
- Title:
- Quantifying the circulation induced by convective clouds in kilometer‐scale simulations. (22nd February 2021)
- Main Title:
- Quantifying the circulation induced by convective clouds in kilometer‐scale simulations
- Authors:
- Oertel, Annika
Schemm, Sebastian - Abstract:
- Abstract: The complex coupling between the large‐scale atmospheric circulation, which is explicitly resolved in modern numerical weather and climate models, and cloud‐related diabatic processes, which are parameterized, is an important source of error in weather predictions and climate projections. To quantify the interactions between clouds and the large‐scale circulation, a method is employed that attributes a far‐ and near‐field circulation to the cloud system. The method reconstructs the cloud‐induced flow based on estimates of vorticity and divergence over a limited domain and does not require the definition of a background flow. It is subsequently applied to 12‐ and 2‐km simulations of convective clouds, which form within the large‐scale cloud band ahead of the upper‐level jet associated with an extratropical cyclone over the North Atlantic. The cloud‐induced circulation is directed against the jet, reaches up to 10 m·s −1, and compares well between both simulations. The flow direction is in agreement with what can be expected from a vorticity dipole that forms in the vicinity of the clouds. Hence, in the presence of embedded convection, the wind speed does not steadily decrease away from the jet, as it does in cloud‐free regions, but exhibits a pronounced negative anomaly, which can now be explained by the cloud‐induced circulation. Furthermore, the direction of the reconstructed circulation suggests that the cloud induces a flow that counteracts its advection by theAbstract: The complex coupling between the large‐scale atmospheric circulation, which is explicitly resolved in modern numerical weather and climate models, and cloud‐related diabatic processes, which are parameterized, is an important source of error in weather predictions and climate projections. To quantify the interactions between clouds and the large‐scale circulation, a method is employed that attributes a far‐ and near‐field circulation to the cloud system. The method reconstructs the cloud‐induced flow based on estimates of vorticity and divergence over a limited domain and does not require the definition of a background flow. It is subsequently applied to 12‐ and 2‐km simulations of convective clouds, which form within the large‐scale cloud band ahead of the upper‐level jet associated with an extratropical cyclone over the North Atlantic. The cloud‐induced circulation is directed against the jet, reaches up to 10 m·s −1, and compares well between both simulations. The flow direction is in agreement with what can be expected from a vorticity dipole that forms in the vicinity of the clouds. Hence, in the presence of embedded convection, the wind speed does not steadily decrease away from the jet, as it does in cloud‐free regions, but exhibits a pronounced negative anomaly, which can now be explained by the cloud‐induced circulation. Furthermore, the direction of the reconstructed circulation suggests that the cloud induces a flow that counteracts its advection by the jet. Convective clouds therefore propagate more slowly than their surroundings, which may affect the distribution of precipitation. The method could be used to compare cloud‐induced flow at different resolutions and between different parameterizations. Abstract : Clouds are not passively moved in the atmosphere by wind. Instead, clouds actively influence the flow field in their immediate vicinity. In this study, the flow field generated by clouds is quantified. It is shown that clouds create a flow that is directed against the direction of the wind in which they grow. Hence, clouds propagate more slowly than a passive object, and they are more stationary. This can influence the regional cloud and precipitation distribution. … (more)
- Is Part Of:
- Quarterly journal of the Royal Meteorological Society. Volume 147:Number 736(2021)
- Journal:
- Quarterly journal of the Royal Meteorological Society
- Issue:
- Volume 147:Number 736(2021)
- Issue Display:
- Volume 147, Issue 736 (2021)
- Year:
- 2021
- Volume:
- 147
- Issue:
- 736
- Issue Sort Value:
- 2021-0147-0736-0000
- Page Start:
- 1752
- Page End:
- 1766
- Publication Date:
- 2021-02-22
- Subjects:
- cloud‐circulation interaction -- diabatic–adiabatic coupling -- far‐ and near‐field cloud‐induced circulation -- high‐resolution modeling
Meteorology -- Periodicals
551.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1477-870X/issues ↗
http://onlinelibrary.wiley.com/ ↗
http://www.ingentaselect.com/rpsv/cw/rms/00359009/contp1.htm ↗ - DOI:
- 10.1002/qj.3992 ↗
- Languages:
- English
- ISSNs:
- 0035-9009
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7186.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16793.xml