The stochastic weather generator
Simulation of extreme weather events by a stochastic weather generator
... A stochastic weather generator is a model capable of generating daily weather patterns that are statistically similar to the observed ...patterns. Weather generators are commonly used ...
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Stochastic Weather Generator Based Ensemble Streamflow Forecasting
... at weather stations scattered across the basin, the CBRFC has created mean areal precipitation (MAP) and mean areal temperature (MAT) for each zone at 6-hourly time ...our stochastic weather ...daily ...
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An advanced stochastic weather generator for simulating 2-D high-resolution climate variables
... new stochastic weather generator, Advanced WEather GENerator for a two-dimensional grid (AWE-GEN-2d) is ...and stochastic approaches to simulate key meteorological variables at ...
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Expected future precipitation in central Iraq using LARS-WG stochastic weather generator
... model performance for simulating the daily rain in each month. In both tables, the letter “N” represents the number of test carried. Assessment of the LARS-WG performance in simulating the seasonal precipitation in ...
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Expected Future Precipitation in Central Iraq Using LARS WG Stochastic Weather Generator
... model performance for simulating the daily rain in each month. In both tables, the letter “N” represents the number of test carried. Assessment of the LARS-WG performance in simulating the seasonal precipitation in ...
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Copula Based Stochastic Weather Generator as an Application for Crop Growth Models and Crop Insurance
... the weather stations, considering a cycle of 365 ...Montana weather station. Trend was highly significant: in Conrad weather station, trend explains 66% in maximum and minimum temperature behavior; ...
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Climate Change Downscaling Using Stochastic Weather Generator Model in Rift Valley Basins of Ethiopia
... the GENERATOR option to synthesize daily weather data based on the information in the site parameter files and then undertake comparisons between the observed and synthetic data “off-line”, or 2) using the ...
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Application of a stochastic weather generator to assess climate change impacts in a semi-arid climate: The Upper Indus Basin
... In this study, we develop a point-based stochastic weather gen- erator (WG) downscaling method ( Kilsby et al., 2007 ) for three sta- tions in the UIB. This WG approach has been previously used for the UK ...
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Future change of daily precipitation indices in Japan: a stochastic weather generator-based bootstrap approach to provide probabilistic climate information
... tools that can generate daily weather time series at a given site without intensive computation [e.g., Semenov and Stratonovitch, 2010]. A conventional use of a WG is (1) to compute parameters of probability ...
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Weather Generator Application with Mixed Exponential Distribution Representing Rainfall Intensity
... interest. Stochastic weather generator which is developed based on historical metrological data, is often employed to generate synthetic rainfall ...Advanced Weather Generator or ...
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Integrated Stochastic Weather and Production Simulation Modeling
... Solar Generator Models and Net Load For each of 30 weather trajectories in a multi-physics ensemble, the wind speed and shortwave downward radiative flux estimated with WRF are used to compute power outputs ...
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AnaWEGE: a weather generator based on analogues of atmospheric circulation
... random weather generators is their lack of spatial coherence, unless it is imposed on the marginal distributions of a variable at two locations or more (Naveau et ...2009). Stochastic models that use a ...
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Application of weather generator for environmental parameters estimation for upper indus basin
... significant correlations for maximum air temperature, solar radiation and precipitation. Study area The application of stochastic weather generators in water sector is of much importance because water has a ...
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Quantifying Uncertainty Due to Stochastic Weather Generators in Climate Change Impact Studies
... local weather time series 1 .... Stochastic weather generators (WGs) are routinely integrated into ecological or agro-meteorological studies to extend or interpolate incomplete weather data ...
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Development of a stochastic rainfall generator and its uncertainty quantification for the Kelantan River Basin, Malaysia
... are stochastic simulation tools used to simulate synthetic rainfall series at a particular location that are statistically consistent with the observed rainfall series (Lee, 2016; Chen et ...not weather ...
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Quantifying monthly areal rainfall uncertainty using a data-based stochastic rainfall generator
... African Weather Service (SAWS), the Agricultural Research Council (ARC), the South African Sugar Association (SASA), the Institute of Commercial Forestry Research (ICFR), municipalities, mines and other private ...
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Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
... A stochastic downscaling methodology known as the Advanced Weather Generator, AWE-GEN, has been tested at four stations in Peninsular Malaysia using observations available from 1975 to ...a ...
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STORM 1.0: a simple, flexible, and parsimonious stochastic rainfall generator for simulating climate and climate change
... while weather gener- ators (regional circulation models, RCMs, or convection per- mitting models, CPMs) can downscale GCM output for use in dynamic simulation of weather, the model interaction is ...
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Backward stochastic differential equations with an unbounded generator
... possibly unbounded coefficients are considered in [43], using a very different approach as compared to [16], [12]. The interest in these equations is not only theoretical, but is also motivated by applications in ...
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Stochastic Non-Linear Pseudo-Random Sequence Generator
... Many of the key stream generators which are used in practice are LFSR-based in the sense that they produce the key stream according to a rule y = C(L(x)), where L(x) denotes an internal linear bit stream, produced by ...