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research

 
 
 
 
 

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 CMMAP Models
Models under development supported by CMMAP.

 

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

Research Objectives

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


Research Team
Name Institution Role in CMMAP
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
Anning Cheng Langley Research Center, NASA Development of boundary-layer parameterizations
for use in the MMF
William Collins Lawrence Berkeley Labs / UC Berkeley Developer of radiative transfer parameterizations;
Liaison to CCSM
Alan Scott Denning Colorado State University Director 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
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
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
Eric Maloney Colorado State University Analysis of tropical general circulation
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 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

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