Process-Oriented Model Diagnostics
This special collection is devoted to process-oriented evaluation of climate and Earth system models, and spans several American Meteorological Society journals. The Model Diagnostics Force (MDTF) of the NOAA Modeling, Analysis, Predictions, and Projections Program (MAPP) has organized this special collection. The collection is motivated by community interest in moving beyond performance-oriented metrics toward process-oriented metrics of models, current efforts to develop the next generation of climate and Earth system models including those related to the Coupled Model Intercomparison Project (CMIP), and a need to link model development and evaluation efforts across modeling centers. Assessing processes in climate and Earth system models is essential for understanding model biases, identifying model error origins, and developing next-generation models.
The papers detail studies not only by MDTF members, but also those contributed by the broader community.
Eric Maloney, Colorado State University
Daniel Barrie, NOAA MAPP Program
Aiguo Dai, University at Albany
Andrew Gettelman, National Center for Atmospheric Research
Yi Ming, NOAA Geophysical Fluid Dynamics Laboratory