A general introduction to numerical model
Numerical modelling is one of the core methods for the atmospheric and climate sciences, which significantly improves our understanding of the atmospheric systems (e.g., extreme weathers) and climate changes. Algorithms are developed in the numerical models to represent the various scale processes in the earth systems. Even though significant progress in numerical models has achieved in the past decades in the community, many processes are still unclear and poorly represented in weather forecast and climate models. In particular, the understanding of the interaction processes between different earth system components is still fragmented, which are critical for the weather and climate prediction since they control the energy cycle in the earth systems.
To better understand the interaction processes and their influence on the weather and climate system, different scale models are developed/used in combined with measurements and theoretical studies. The numerical models used in our group include (1) large eddy simulation (LES) which can resolve turbulent processes and provide unique tools for the understanding of the boundary layer processes, (2) regional coupled model which is important for the investigation of (sub)mesoscale scale system and regional climate study, (3) earth system models which are used for the study of global climate changes.
Persons: Anna Rutgersson, Lichuan Wu