Use of ARM Data to address the Climate Change Further Development and Applications of A Multi-scale Modeling Framework | Zendy

David A. Randall | Zendy; Marat Khairoutdinov | Zendy

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Use of ARM Data to address the Climate Change Further Development and Applications of A Multi-scale Modeling Framework

Author(s) -

David A. Randall,

Marat Khairoutdinov

Publication year - 2007

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/921515

Subject(s) - gcm transcription factors , general circulation model , scale (ratio) , climate model , grid , computer science , cloud computing , boundary layer , scale model , environmental science , climate change , climatology , engineering , geology , aerospace engineering , geography , operating system , cartography , oceanography , geodesy

The Colorado State University (CSU) Multi-scale Modeling Framework (MMF) is a new type of general circulation model (GCM) that replaces the conventional parameterizations of convection, clouds and boundary layer with a cloud-resolving model (CRM) embedded into each grid column. The MMF that we have been working with is a “super-parameterized” version of the Community Atmosphere Model (CAM). As reported in the publications listed below, we have done extensive work with the model. We have explored the MMF’s performance in several studies, including an AMIP run and a CAPT test, and we have applied the MMF to an analysis of climate sensitivity

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