Hardcover. Improving weather and climate prediction with better representation of fast processes in atmospheric models Many atmospheric processes that influence Earths 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 modelsDifferent types of major sub-grid processes and their parameterizationsEfforts to unify the treatment of individual processes and their interactionsTop-down versus bottom-up approaches across multiple scalesMeasurement techniques, observational studies, and frameworks for model evaluationEmerging 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Fast Processes in Large-Scale Atmospheric Models (Hardcover)
Publisher: John Wiley & Sons Inc, Wasington
Publication Date: 2024
Language: English
ISBN 10: 1119528992
ISBN 13: 9781119528999
Binding: Hardcover
Condition: new

About this title

Synopsis

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.

About the Author

Yangang Liu, Brookhaven National Laboratory, USA.

Pavlos Kollias, Brookhaven National Laboratory and Stony Brook University, USA.

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