CMMAP

The research mission of CMMAP is to develop a new kind of global atmospheric model that can represent the effects of
clouds on weather and climate with greatly improved realism; to evaluate the new model by comparison of model results
with observations; and to apply the model to understand the interactions of clouds with other components of the Earth
system, including the atmosphere, the vegetated land surface, and the oceans.

CMMAP Research Highlights

Nucleation Processes in Deep Convection
Studying the impact of aerosols on ice clouds associated with deep convection.
High-frequency Rainfall Variability Reveals Nature of Simulated Climates
Evaluating the realism of explicitly modeling rain systems using a Multiscale Modeling Framework (MMF).
Cloud Effects on Climate
Establishing the role of clouds in the climate system.
Quasi-Lagrangian Vertical Coordinates
Nonhydrostatic atmospheric modeling with a hybrid vertical coordinate.
Other center highlights

CMMAP Models
Models under development supported by CMMAP.

Quick link to Research Themes and Blogs :
Low-cloud Feedbacks | Dynamical Framework | MJO | Physical Processes

Research Objectives & Collaboration Wikis

Center Director

David A. Randall
Atmospheric Science
Colorado State University
Fort Collins, CO 80523
970 491 8407
randall@atmos.colostate.edu

Research Team

Name	Institution	Role in CMMAP
James Abeles	International Business Machines	Liaison to International Business Machines
Thomas Ackerman	University of Washington, JISAO	Model evaluation using ARM data
Akio Arakawa	University of California, Los Angeles	Development of improved GCMs and cloud parameterizations
Howard Barker	Meteorological Service of Canada	Radiation parameterization for the MMF, including multi-dimensional radiative transfer; scientific participant in CMMAP workshops
Christopher Bretherton	University of Washington	Development of improved cloud parameterizations
Antonio Busalacchi	University of Maryland	Use of satellite data to evaluate MMF results
William Collins	Lawrence Berkeley Labs / UC Berkeley	Developer of radiative transfer parameterizations; Liaison to CCSM
Alan Scott Denning	Colorado State University	Associate Directory for Education and Outreach; Use of MMFs to study the carbon cycle
Leo Donner	Geophysical Fluid Dynamics Laboratory, NOAA	Development of improved MMFs and improved conventional parameterizations
Phillip Duffy	Lawrence Livermore National Laboratory	Role of MMF in high-resolution climate modeling
Wojciech Grabowski	National Center for Atmospheric Research	Development of improved CSRMs and MMFs
John Helly	University of California, San Diego, and San Diego Supercomputer Center	Associate Director for Computation, and liaison to SDSC
Andrew Heymsfield	National Center for Atmospheric Research	Parameterization of ice microphysics
Marat Khairoutdinov	Atmospheric Sciences at Stony Brook	Development of CSRMs and MMFs
Sonia Kreidenweis	Colorado State University	Use of MMFs with aerosol and cloud microphysics parameterizations
Steven Krueger	University of Utah	Development of improved MMFs
Christian Kummerow	Colorado State University	Liaison to TRMM and GPM; use of these datasets for model evaluation
Masahide Kimoto	Center for Climate Systems Research, University of Tokyo, Japan	Scientific participant in CMMAP Workshops; development of improved MMFs
Patrick McCormick	Hampton University	Use of satellite data to evaluate MMF results
Martin Miller	European Centre for Medium Range Weather Forecasts, England	Scientific participant in CMMAP Workshops; model evaluation through NWP
Chin-Hoh Moeng	National Center for Atmospheric Research	CMMAP Deputy Director and Development of boundary-layer parameterizations for use in the MMF
Mitchell Moncrieff	National Center for Atmospheric Research	Development of the MMF
Tomoe Nasuno	Frontier Research Project for Global Change, Japan	Scientific participant in CMMAP Workshops; development of improved CSRMs
Robert Pincus	University of Colorado	Development of cloud parameterizations
David Randall	Colorado State University	Principal investigator; further development of the MMF
William Rossow	City College of New York	Model evaluation, especially using ISCCP data
Wayne Schubert	Colorado State University	Associate Director for Knowledge Transfer; further development of the MMF with an emphasis on the choice of governing equations
Richard Somerville	Scripps Institution of Oceanography, UCSD	Development of cloud-radiation parameterizations
Bjorn Stevens	University of California, Los Angeles	Development of conventional parameterizations
Wei-Kuo Tao	Goddard Space Flight Center, NASA	Development of improved MMFs, and application to data assimilation
Bruce Wielicki	Langley Research Center, NASA	Model evaluation using space data
Kuan-Man Xu	Langley Research Center, NASA	Development of boundary-layer parameterizations for use in the MMF