Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges, and Opportunities, 1st Edition eBook

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Improving weather and climate prediction with better representation of fast processes in atmospheric models

Many atmospheric processes that influence Earth’s weather and climate occur at spatiotemporal scales that are too small to be resolved in large scale models. They must be parameterized, which means approximately representing them by variables that can be resolved by model grids.

Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges and Opportunities explores ways to better investigate and represent multiple parameterized processes in models and thus improve their ability to make accurate climate and weather predictions.

Volume highlights include:

Historical development of the parameterization of fast processes in numerical models
Different types of major sub-grid processes and their parameterizations
Efforts to unify the treatment of individual processes and their interactions
Top-down versus bottom-up approaches across multiple scales
Measurement techniques, observational studies, and frameworks for model evaluation
Emerging challenges, new opportunities, and future research directions
The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

This is a digital product.

Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges, and Opportunities 1st Edition is written by Yangang Liu and published by John Wiley & Sons P&T. The Digital and eTextbook ISBNs for Fast Processes in Large-Scale Atmospheric Models are 9781119528944, 1119528941 and the print ISBNs are 9781119528999, 1119528992. Additional ISBNs for this eTextbook include 9781119529019.