Quantifying the effects of horizontal grid length and parameterised convection on the degree of convective organisation using a metric of the potential for convective interaction

Quantifying the effects of horizontal grid length and parameterised convection on the degree of... AbstractThe organisation of deep convection and its misrepresentation in many global models is the focus of much current interest. We present a new method for quantifying convective organisation based on the identification of convective objects and subsequent derivation of object numbers, areas and separation distances to describe the degree of convective organisation. These parameters are combined into a ‘convection organisation potential’ based on the physical principle of an interaction potential between pairs of convective objects. We apply this technique to simulated and observed fields of outgoing longwave radiation (OLR) over the West African monsoon region using data from Met Office Unified Model simulations and satellite observations made by the Geostationary Earth Radiation Budget instrument (GERB). We evaluate our method by using it to quantify differences between models with different horizontal grid lengths and representations of convection. Distributions of OLR, precipitation and organisation parameters, the diurnal cycle of convection, and relationships between the meteorology in different states of organisation are compared. Switching from a configuration with parameterised convection to one which allows the model to resolve convective processes at the model gridscale is the leading order factor improving some aspects of model performance, while increased model resolution is the dominant factor for others. However, no single model configuration performs best compared to observations, indicating underlying deficiencies in both model scaling and process understanding. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Atmospheric Sciences American Meteorological Society

Quantifying the effects of horizontal grid length and parameterised convection on the degree of convective organisation using a metric of the potential for convective interaction

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0469
D.O.I.
10.1175/JAS-D-16-0307.1
Publisher site
See Article on Publisher Site

Abstract

AbstractThe organisation of deep convection and its misrepresentation in many global models is the focus of much current interest. We present a new method for quantifying convective organisation based on the identification of convective objects and subsequent derivation of object numbers, areas and separation distances to describe the degree of convective organisation. These parameters are combined into a ‘convection organisation potential’ based on the physical principle of an interaction potential between pairs of convective objects. We apply this technique to simulated and observed fields of outgoing longwave radiation (OLR) over the West African monsoon region using data from Met Office Unified Model simulations and satellite observations made by the Geostationary Earth Radiation Budget instrument (GERB). We evaluate our method by using it to quantify differences between models with different horizontal grid lengths and representations of convection. Distributions of OLR, precipitation and organisation parameters, the diurnal cycle of convection, and relationships between the meteorology in different states of organisation are compared. Switching from a configuration with parameterised convection to one which allows the model to resolve convective processes at the model gridscale is the leading order factor improving some aspects of model performance, while increased model resolution is the dominant factor for others. However, no single model configuration performs best compared to observations, indicating underlying deficiencies in both model scaling and process understanding.

Journal

Journal of the Atmospheric SciencesAmerican Meteorological Society

Published: Oct 12, 2017

References

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