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
... a stochastic weather model, renewable generation models that are driven by the weather, a stochastic production simulation model, and a system stability ...
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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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AnaWEGE: a weather generator based on analogues of atmospheric circulation
... the weather generator is to com- pute analogues of circulation (Lorenz, 1969; Van den Dool, 1994; van den Dool, 2007; Zorita and von Storch, ...the weather generator), and the resulting ...
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A STOCHASTIC DAILY MEAN TEMPERATURE MODEL FOR WEATHER DERIVATIVES
... statistical assumptions and lacked robustness. Due to the fact that degree days are an aggregate monthly metric and path dependent, it was important to model the complete behavior of a time series by simulating the daily ...
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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 ...
Evaluating Weather Generator Techniques for Downscaling Precipitation for Seasonal Forecasting.
... 3. Weather Generator Evaluation In this chapter the results of the evaluation of WGEN, GiST, and GiSTR is ...Each generator was run over two separate domains producing an ensemble of thirty members ...
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Stochastic urban pluvial flood mapping based upon a spatial-temporal stochastic rainfall generator
... Traditionally, urban pluvial flood likelihood is estimated by associating the same return period of the original rainfall; however, when the spatial variability of the rainfall plays an important role in the catchment ...
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Stochastic Parameterization: Towards a new view of Weather and Climate Models
... representations, stochastic or not, go beyond increasing reliability through increased spread and can account for structural model ...that stochastic parameterization is able to improve the mean state ...
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Stochastic parameterization: towards a new view of weather and climate models
... the stochastic parameterization SPPT, the temperature variability in this range is reduced, leading to a better agreement between the simulated and observed spectra ...
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A stochastic design rainfall generator based on copulas and mass curves
... the generator as proposed here still ends up with a coarse internal storm structure, ...the generator in its present form is not able to incorporate dry spells within a storm, which of course occur ...
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