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The Model Diagnostics Task Force is constituted to develop, coordinate, and implement process-based model evaluation metrics and a metrics framework in National modeling center metrics packages, leveraging ongoing efforts at the modeling centers toward advancing model evaluation and development capabilities.

This Task Force is constituted of researchers whose projects were successfully evaluated as part of the FY18 competition held by NOAA’s Modeling, Analysis, Predictions, and Projections program on the topic of Process Oriented Metrics. This competition was motivated by a number of factors, including community interest in moving beyond performance oriented metrics toward process oriented metrics, ongoing efforts to develop next-generation climate and Earth system models, evolving plans for CMIP, and a need to link model development and evaluation efforts across modeling centers. Nine projects were selected as a result of the competitive process, including eight focused on developing metrics and one that will develop metrics as well as define a direction and framework for the overall effort.

Task Force Function and Implementation

MAPP Task Force Concept and Terms of Reference


Overall lead: David Neelin, University of California, Los Angeles
NCAR lead: Andrew Gettelman, National Center for Atmospheric Research
GFDL lead: John Krasting, NOAA Geophysical Fluid Dynamics Laboratory
Co-lead: Allison Wing, Florida State University
Co-lead: Yi Ming, NOAA Geophysical Fluid Dynamics Laboratory
Co-lead: Eric Maloney, Colorado State University


Relevant MAPP Program PIs and selected additional invitees.
To view the full Participants list, please visit the Participants page.


To view the full list of Projects, please click here.

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Dr. Daniel Barrie
Acting MAPP Program Director
P: 301-734-1256

David Benson
MAPP Program Analyst

Courtney Byrd
MAPP Program Specialist
P: 301-734-1257

«June 2023»


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Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.