Using Radar Data to Calibrate a Stochastic Parametrization of Organized Convection

Using Radar Data to Calibrate a Stochastic Parametrization of Organized Convection

Abstract Stochastic parameterizations are increasingly becoming skillful in representing unresolved atmospheric processes for global climate models. The stochastic multicloud model, used to simulate the life cycle of the three most common cloud types (cumulus congestus, deep convective, and stratifo...

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Bibliographic Details
Main Authors: E. Cardoso‐Bihlo, B. Khouider, C. Schumacher, M. De La Chevrotière
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-06-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
convective parameterization
clouds
Bayesian inference
radar data
stochastic multicloud model
tropical convection
Online Access:https://doi.org/10.1029/2018MS001537

Internet

https://doi.org/10.1029/2018MS001537

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