Evaluation of Mean State in NCEP Climate Forecast System (Version 2) Simulation Using a Stochastic Multicloud Model Calibrated With DYNAMO RADAR Data

Evaluation of Mean State in NCEP Climate Forecast System (Version 2) Simulation Using a Stochastic Multicloud Model Calibrated With DYNAMO RADAR Data

Abstract Stochastic parameterizations are continuously providing promising simulations of unresolved atmospheric processes for global climate models (GCMs). One of the stochastic multi‐cloud model (SMCM) features is to mimic the life cycle of the three most common cloud types (congestus, deep, and s...

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Bibliographic Details
Main Authors: Kumar Roy, Parthasarathi Mukhopadhyay, R. P. M. Krishna, B. Khouider, B. B. Goswami
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-08-01
Series:Earth and Space Science
Subjects:
stochastic multi‐cloud model
DYNAMO RADAR data for constraining the SMCM
DYNAMO constrained SMCM used in CFSv2
Atmospheric mean state
Online Access:https://doi.org/10.1029/2020EA001455

Internet

https://doi.org/10.1029/2020EA001455

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