Abstract: The impact of ageostrophic vorticity and temperature advection on vertical motions in a strong extratropical cyclone is studied by comparing the contribution of the two advection terms in the generalized omega equation to ...

Abstract: The response of atmospheric angular momentum to a gradual doubling of CO2 is studied using 16 model experiments participating in the second phase of the Coupled Model Intercomparison Project (CMIP2). The relative angular ...

Abstract: Processes affecting synoptic-scale vertical motions are investigated using as the main tool a generalized omega equation that assumes only hydrostatic balance. This equation and the adiabatic quasigeostrophic (QG) omega ...

Abstract: Height tendency dynamics are studied with a system consisting of a generalized omega equation, the vorticity equation, and a nonlinear balance equation. By using the first two equations, vorticity tendency is first partitioned ...

Abstract: CO2-induced changes in the interannual variability of monthly surface air temperature and precipitation are studied using 19 model experiments participating in the second phase of the Coupled Model Intercomparison Project ...

Abstract: CO2-induced changes in surface air temperature, precipitation, and sea level pressure are compared between model experiments participating in the second phase of the Coupled Model Intercomparison Project (CMIP2). A statistical ...

Abstract: The German Climate Computing Center recently conducted a model experiment in which separate runs simulate the climatic response to increasing CO2 alone and to increasing CO2 together with direct radiative forcing by sulfate ...

Abstract: Because of the inherent uncertainties in the computational representation of climate and because of unforced chaotic climate variability, it is argued that climate change projections should be expressed in probabilistic ...

Abstract: The general decrease in the quality of climate model output with decreasing scale suggests a need for spatial smoothing to suppress the most unreliable small-scale features. However, even if correctly simulated, a large-scale ...

Abstract: AbstractA statistical learning approach to produce seasonal temperature forecasts in western Europe and Scandinavia was implemented and tested. The leading principal components (PCs) of sea surface temperature (SST) and ...