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Mission

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

Leadership

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


Participants

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

Projects

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

News & Events

Scientists meet to improve understanding of model errors 15 June 2017

Scientists meet to improve understanding of model errors

Scientists from around the world will meet for the fifth time to advance understanding of the causes of errors in weather and climate models.

Powerful New Software Helps Expedite Weather and Climate Forecasting Improvements 2 March 2021

Powerful New Software Helps Expedite Weather and Climate Forecasting Improvements

Weather and climate models are an essential part of predicting extreme weather events and projecting future changes in climate. Since these models can enable better disaster preparedness and reduce risks related to extreme weather, it is important to ensure that their simulations include limited bias or error.

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