Downscaling from GCMs to local climate through stochastic linkages

Article Abstract:

Data derived from downscaling General Circulation Models (GCMs) output is used to develop a stochastic model based on circulation patterns (CP) using a fuzzy rule based approach. Knowledge of precipitation extremes is important for designing flood protection dams. However, GCMs are unsuitable for precipitation modelling since they fail to indicate mean annual rainfall values. A multivariate stochastic model which describes the link between precipitation variable and atmospheric circulation patterns is combined with GCM output based CPs to make reliable precipitation predictions.

Analysis, Measurement, Stochastic analysis, Precipitation (Meteorology)

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Downscaling GCM output with a mesoscale model

Article Abstract:

General circulation model output can be more effective if it is downscaled using the mesoscale models. A mesoscale model already contains the finer atmospheric processes required for the transfer of heat, momentum and moisture. The model which can stimulate weather-dependent variables and surface weather scenarios, is used to facilitate policy decisions dependent on the specific weather conditions of a geographic region. General circulation model output on upper-air circulation patterns are a suitable input for constructing mesoscale models.

Models, Usage, Climatology, Atmospheric research

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Downscaling climate change scenarios in an urban land use change model

Article Abstract:

The process through which climate change scenarios are downscaled in an urban land use model is described. The results successfully illustrate the spectrum of possible land use/land cover change scenarios for the years 2020 and 2050 and the application of these results into the broader scale climate and health impact study is discussed.

Forecasts, trends, outlooks, Evaluation, Forecasts and trends, Influence, Market trend/market analysis, Climatic changes, Climate change, Urban land use

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