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Climate models divide the planet into a 3-dimensional grid and apply differential equations to each grid. The equations are based on the basic laws of physics, fluid motion, and chemistry. Numerical climate models (or climate system models) are mathematical models that can simulate the interactions of important drivers of climate.
AOGCMs internalise as many processes as are sufficiently understood. However, they are still under development and significant uncertainties remain. They may be coupled to models of other processes in Earth system models, such as the carbon cycle, so as to better model feedbacks. Most recent simulations show "plausible" agreement with the ...
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Weather reconnaissance aircraft, such as this WP-3D Orion, provide data that is then used in numerical weather forecasts.. The atmosphere is a fluid.As such, the idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future.
Models use systems of differential equations based on the laws of physics, fluid motion, and chemistry, and use a coordinate system which divides the planet into a 3D grid. Winds, heat transfer, radiation, relative humidity, and surface hydrology are calculated within each grid and evaluate interactions with neighboring points.
The Köppen climate classification system was modified further within the Trewartha climate classification system in 1966 (revised in 1980). The Trewartha system sought to create a more refined middle latitude climate zone, which was one of the criticisms of the Köppen system (the climate group C was too general). [10]: 200–1
If the model is able to perform in the target operating window, the second step is to investigate whether the model can cover all the system constituents within the concentration ranges of interest or not. Fundamental models answered this ambiguity by covering the whole concentration range of the compounds that they involved.
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