CLIMAK: a stochastic model for weather data generation

Abstract

BACKGROUND. Many human activities and ecological processes are affected by climatic conditions. Despite the difficulties in long term meteorological forecast-ing, a statistical description of climate is possible and used for planning purposes and strategic decisions. With this aim, stochastic models for the generation of daily weather data have been developed (Climak). The generated meteorological data can be used: a) to perform Monte Carlo simulations with determin-istic models (e.g., crop growth and ecological models, models for climate risk assessment); b) to better clas-sify the climates; c) to assess environmental scenar-ios for the effects of climatic changes by “what if” procedures; d) to spatially interpolate the climate pa

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