Research on the CAMS Atmospheric Numerical Prediction Model System

Author: Chen Dehui et al.
Publisher:
Publish Date: 2004-11-01
Features: This book compiles the research achievements on the numerical prediction model of heavy rain from the National Key Basic Research Program "Formation Mechanism and Theoretical Research on Prediction of Major Weather Disasters in China." It is divided into five chapters. Chapter 1 introduces the dynamical framework of the non-steady-state, semi-implicit semi-Lagrangian multi-scale unified model developed, as well as the results of testing the stability and simulation accuracy of the framework. Chapter 2 introduces the explicit cloud and precipitation model, which includes the physical processes of 11 microphysical parameters of three water phase states. Chapter 3 describes the cloud radiation model adapted to the cloud and precipitation physical model in Chapter 2. Chapter 4 develops two new boundary layer physical models: one is a boundary layer model based on multi-scale turbulence parameterization, and the other is a second-order moment closure boundary layer model, to make the model more closely approximate the boundary layer atmospheric processes under convective conditions. The final chapter introduces the results of case-by-case comparison experiments after coupling the dynamical framework with physical processes. The model, from the dynamical framework to the physical processes, is independently developed by the Chinese Academy of Meteorological Sciences based on years of research, and has preliminarily formed a new model called the CAMS atmospheric numerical prediction model, for further experimental development. The content of this book is suitable for science and technology workers and students of universities and colleges in atmospheric science, ocean science, hydrological science, environmental science, and computational fluid dynamics, and can also be referred to by a wide range of numerical weather prediction professionals.