Sentence examples for weather generator from inspiring English sources

Steps in the proposed IAOM include: (1) weather generator module to generate feasible future climate conditions, (2) VIC model as the hydrological simulation module to generate streamflows from those future weather conditions, and (3) multipurpose reservoir optimization module to determine the optimal reservoir operations to deal with climate change.

A stochastic weather generator is used to generate future climate change scenarios for the catchment by downscaling GCM realizations in space and time.

In this research, a new design summer year termed as a Hot Summer Year (HSY) is created based on weather data generated from the UK Climate Projections weather generator and the Physiological Equivalent Temperature (PET).

The presented results indicate that the suggested weather generator is an appropriate alternative for generating daily weather variables while reproducing the historical extreme distribution.

Local weather data for the 2050s were generated with the LARS-WG weather generator based on climate scenarios from two multi-model ensembles of respectively 15 global and 9 regional climate models.

For each site and each GCM from the CMIP3 ensemble, we generated using the LARS-WG weather generator 300 years of daily weather representing the baseline scenario corresponding to 1960 1990, and the future climate scenario corresponding to 2046 2065 for the A1B emission scenario, denoted as 2055(A1B).

Mason, S. J., 2004: Simulating climate over western North America using stochastic weather generators.

Overall, the results demonstrated that the proposed temporal downscaling model is a good alternative method for downscaling simulated daily precipitation data from weather generators or RCM outputs.

Stochastic weather generators (WGs), which provide long synthetic time series of weather variables such as rainfall and potential evapotranspiration (PET), have found widespread use in water resources modelling.

In case of site specific predictions it may be noted that the problem of downscaling a global low-resolution general circulation models to the regional high-resolution scale has been addressed in the past through methods like regression, weather pattern matching, limited area models and stochastic weather generators (Wilby and Wigley 1997).

To quantify the impact, the Climate Change World Weather File Generator was used to produce weather data for future typical meteorological years, such as 2020, 2050 and 2080.