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:
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.
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Yangang Liu, Brookhaven National Laboratory, USA.
Pavlos Kollias, Brookhaven National Laboratory and Stony Brook University, USA.
Fast Processes in Large-Scale Atmospheric Models
Progress, Challenges, and Opportunities
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:
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 this title" may belong to another edition of this title.
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Hardcover. Condition: new. 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 multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781119528999
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Hardcover. Condition: new. 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 UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781119528999
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Condition: New. Yangang Liu, Brookhaven National Laboratory, USA.Pavlos Kollias, Brookhaven National Laboratory and Stony Brook University, USA.Fast Processes in Large-Scale Atmospheric ModelsProgress, Challenges, and OpportunitiesMany atmospheric processes that influe. Seller Inventory # 541490911
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