Current state‐of‐the‐art climate and also weather and seasonal forecast models represent the different climate subsystems, such as atmosphere, ocean, sea ice, and land surface, through a variety of modelling approaches. Different numerical methods are used to discretize these subsystems, which often require computational grids of a certain geometry. This often produces a climate model that is constructed from independent model components that are coupled at their respective interfaces (Valcke, 2013).
torsdag 28 november 2019
Flow‐dependent stochastic coupling for climate models with high ocean‐to‐atmosphere resolution ratio
Quarterly Journal of the Royal Meteorological Society - Wiley Online Library
Current state‐of‐the‐art climate and also weather and seasonal forecast models represent the different climate subsystems, such as atmosphere, ocean, sea ice, and land surface, through a variety of modelling approaches. Different numerical methods are used to discretize these subsystems, which often require computational grids of a certain geometry. This often produces a climate model that is constructed from independent model components that are coupled at their respective interfaces (Valcke, 2013).
Current state‐of‐the‐art climate and also weather and seasonal forecast models represent the different climate subsystems, such as atmosphere, ocean, sea ice, and land surface, through a variety of modelling approaches. Different numerical methods are used to discretize these subsystems, which often require computational grids of a certain geometry. This often produces a climate model that is constructed from independent model components that are coupled at their respective interfaces (Valcke, 2013).