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The Indian Ocean-Maritime Continent Regionally Refined SCREAM Configuration for MJO studies

Authors

Lead Presenter

Co-Author

Abstract

The DOE’s Simplified Cloud-Resolving E3SM Atmosphere Model (SCREAM) is a kilometer-scale global storm-resolving model, which signifies the advent of an exciting new generation of weather and climate models. From the recent global simulation campaigns, SCREAM show significant improvement in many aspects, especially for heavy precipitation associated with intense storm systems compared to coarse resolution models. However, SCREAM also show evidence of problems associated with small-scale and organized convective processes. Furthermore, SCREAM can be computationally expensive to conduct long simulations, making diagnosing certain SCREAM model processes or phenomena challenging, such as the MJOs. In this project, we constructed a regionally-refined configuration for SCREAM (RRM-SCREAM) covered the tropical Indian Ocean and Maritime continent, specifically to overcome the computation barrier and to better diagnose and improve SCREAM’s MJOs. In our presentation, we will show our initial analysis of the RRM-SCREAM simulations of selected MJO cases during the DYNAMO (Dynamics of the Madden-Julian Oscillation Experiment) field campaign. The performance of SCREAM’s tropical mean state, variability, convection transition, MCS organization, and interactions between the MJO and the Maritime Continent will be discussed.

(This work is funded by the Regional and Global Model Analysis program area of the U.S. Department of Energy and was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344)

Category
Local/Regional Testbeds – an Integrative Framework for Multidisciplinary Model Development and Applications
Model Uncertainties, Model Biases, and Fit-for-Purpose
Modes of Variability and Teleconnections, Trends
Funding Program Area(s)
Additional Resources:
NERSC (National Energy Research Scientific Computing Center)