Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges, and Opportunities (Geophysical Monograph Series) - Tapa dura

Libro 254 de 263: Geophysical Monograph
 
9781119528999: Fast Processes in Large-Scale Atmospheric Models: Progress, Challenges, and Opportunities (Geophysical Monograph Series)

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Yangang Liu, Brookhaven National Laboratory, USA.

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

De la contraportada

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:

  • 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.

"Sobre este título" puede pertenecer a otra edición de este libro.