Аннотация:This paper presents a weather generator that allows simulation of hydrometeorological variables representative of a given geographic location: precipitation, total cloud cover, incoming shortwave radiation, air temperature, humidity, and wind speed. The approach captures the essential relationships among the quantities of interest, while modeling the diurnal variation of weather conditions at the hourly scale. Precipitation is considered to be the key driver of simulated hydrometeorological conditions, which leads to a consistent covariation of the weather variables. The generator was calibrated and validated with data from three meteorological stations located in New Mexico, Arizona, and Oklahoma. The set of variables reproduced by the weather generator can serve as input to a number of models of environmental systems, involving hydrological, ecological, water resources, and agricultural applications. The model is also suitable for creating scenarios of climate regimes (e.g., dry versus wet climates) useful in sensitivity studies. The source codes of the weather generator, manual, and test applications are publicly available.
