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CMMAP engages in two-way knowledge transfer that benefits the Center, the public, and the academic and research
communities. This will occur through the transfer of the modeling technology to other modeling centers, and
through the creation of new publications channels for work on global environmental modeling.

  • Short Papers - Short papers and visualization on CMMAP research topics
  • Student Section - Opportunities at the graduate, postdoc and faculty levels within CMMAP and its partner academic institutions
  • KT Partners - Government Centers, Climate and NWP Centers, Industry Partners
  • Publication Projects
    • Book - project link for authors
    • Journal - Demonstration version of CMMAP's online, open acces journal, JAMES!
  • CMMAP Research Groups - List of CMMAP research groups on the 'Student Section'
  • Past Conference & Workshop Photos
Quick link to KT Themes and Blog :
KT to Climate Modeling and NWP Centers | Book & Journal

KT Objectives & Collaboration Wikis


KNOWLEDGE TRANSFER CALENDAR

  • Outreach activities with University Corporation for Atmospheric Research (UCAR)
    CMMAP has an active partnership with UCAR to disseminate CMMAP science results to a range of audiences through their
    Windows to the Universe website. All of this material is delivered in three different levels, in both Spanish and English.
    The site serves over 1 million unique users per month.


Director for Knowledge Transfer
Wayne Schubert
Atmospheric Science
Colorado State University
Fort Collins, CO 80523
970 491 8521
waynes@atmos.colostate.edu

Knowledge Transfer Manager
Rodger Ames
Atmospheric Science
Colorado State University
Fort Collins, CO 80523
970 491 8724
rames@atmos.colostate.edu


Knowledge Transfer Team
Name
Institution
Role in CMMAP
Rodger Ames
Colorado State University
Knowledge Transfer Manager
William Collins
National Center for Atmospheric Research
Developer of radiative transfer parameterizations;
Liaison to CCSM
Leo Donner
Geophysical Fluid Dynamics Laboratory, NOAA
Development of improved MMFs
and improved conventional parameterizations
Stephen Lord
National Centers for Environmental Prediction, NOAA
Potential of MMFs to improve weather forecasts

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