A Parameterization for Cloud Organization and Propagation by Evaporation‐Driven Cold Pool Edges

Author:

Freitas Saulo R.1ORCID,Grell Georg A.2,Chovert Angel D.3,Silva Dias Maria Assunção F.4ORCID,de Lima Nascimento Ernani5

Affiliation:

1. National Institute for Space Research (INPE) São José dos Campos Brazil

2. Earth System Research Laboratory NOAA Boulder CO USA

3. Center for Environmental Studies, Monitoring and Prediction (CEMPA) Federal University of Goiás Goiânia Brazil

4. University of São Paulo São Paulo Brazil

5. Federal University of Santa Maria Santa Maria Brazil

Abstract

AbstractWhen the negatively buoyant air in the cloud downdrafts reaches the surface, it spreads out horizontally, producing cold pools. A cold pool can trigger new convective cells. However, when combined with the ambient vertical wind shear, it can also connect and upscale them into large mesoscale convective systems (MCS). Given the broad spectrum of scales of the atmospheric phenomenon involving the interaction between cold pools and the MCS, a parameterization was designed here. Then, it is coupled with a classical convection parameterization to be applied in an atmospheric model with an insufficient spatial resolution to explicitly resolve convection and the sub‐cloud layer. A new scalar quantity related to the deficit of moist static energy detrained by the downdrafts mass flux is proposed. This quantity is subject to grid‐scale advection, mixing, and a sink term representing dissipation processes. The model is then applied to simulate moist convection development over a large portion of tropical land in the Amazon Basin in a wet and dry‐to‐wet 10‐days period. Our results show that the cold pool edge parameterization improves the organization, longevity, propagation, and severity of simulated MCS over the Amazon and other different continental areas.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Goiás

Publisher

American Geophysical Union (AGU)

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