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.
General
| Imprint: |
American Geophysical Union
|
| Country of origin: |
United States |
| Series: |
Geophysical Monograph Series |
| Release date: |
2024 |
| Editors: |
Yangang Liu
• Pavlos Kollias
|
| Consultant editors: |
Leo J. Donner
|
| Format: |
Hardcover
|
| Pages: |
480 |
| ISBN-13: |
978-1-119-52899-9 |
| Categories: |
Books
|
| LSN: |
1-119-52899-2 |
| Barcode: |
9781119528999 |
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