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Welcome to CGD's Climate Dynamics & Predictability Section
CDP Research
Climate Dynamics and Predictability Section (CDP) develops the scientific understanding of the dynamics and predictability of large-scale atmospheric variability and coupled variability on time scales of days to decades. This process will allow construction of the scientific basis for predicting the transient, global circulation in the atmosphere beyond the present practical limits. CDP scientists take three approaches to their research:
- (1) numerical and theoretical experimentation with a hierarchy of physical models ranging from the non-divergent, barotropic model to coupled atmosphere-ocean models,
- (2) diagnostic analyses of the cause of atmospheric climatic variability and its theoretical and practical predictability in simulation and forecast experiments using the NCAR Community Atmosphere Model (CAM) and Community Climate System Model (CCSM), and
- (3) sensitivity analyses of numerical prediction models to atmospheric initial and boundary conditions using ensemble techniques that will aid in the design of improved methods of data assimilation, for both conventional and non-conventional meteorological data, e.g., precipitation and sea surface temperature (SST).
Often in the Rocky Mountains, cumulonimbus, or thunderstorm, clouds will form in a relatively dry air mass and produce little or no rain. These mid- and high-level clouds, remnants of developing storms, show the wind direction at each level.