Fast Physics in Large Scale Atmospheric Models (el. knyga) (skaityta knyga) | knygos.lt

Aprašymas

Computer models are the key tools used to predict climate and weather conditions, and the changes associated with human activities. Many physical processes that influence Earth's climate and weather occur on spatial scales shorter than typical global climate model grid sizes, and these processes must be parameterized in large scale models, e.g., microphysics, convection, boundary layer processes, radiation, subgrid variability, and process interactions. These subgrid processes are collectively called fast physics. Fast Physics in Large Scale Atmospheric Models: Parameterization, Evaluation, and Observations focuses on development of these so-called fast physics parameterizations and evaluates them against observations which are essential to climate studies and model development, requiring integration from observations to theories to models.

Volume highlights include:

• Aims to review and synthesize developments of theory for individual processes, evaluation framework, and involved measurements.
• Introduces large scale models, fast physics and the associated challenges involved
• Relies heavily on large scale models to understand, quantify and predict the weather and climate conditions accurately and to assess their changes carefully
• Provides synthesis of most subgrid processes in large scale models and understanding these processes brings better accuracy with parametrization
• Covers unifying efforts on treatments of individual processes
• Offers insights on measurements on three main platforms - surface -based remote sensing, satellite -based remote sensing, and in -situ measurements
• Provides an overview of parameterization evaluation against measurements and of using data assimilation in model -measurement integration

Fast Physics in Large Scale Atmospheric Models: Parameterization, Evaluation, and Observations is a valuable resource for scientists and researchers in earth sciences, atmospheric sciences, climate change, environmental sciences, systems theory, mathematic geology, and geoinformatics.