Weather generator
Simulation of extreme weather events by a stochastic weather generator
... The weather generator distinguishes dry and wet days, depending on whether the precipitation is greater than ...various weather statistics (Semenov et ...in weather generators (Semenov et ...
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Application of a K-Nearest Neighbour weather generator for simulation of historical and future climate variables in the Upper Thames River basin
... Climate change has the potential to significantly alter the hydrologic cycle, changing the frequency and intensity of precipitation events in an area. It is necessary to quantify these effects to effectively manage water ...
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Expected future precipitation in central Iraq using LARS-WG stochastic weather generator
... Stochastic weather simulation is not new and has a history starting from 1950s, as reported by Racsko et ...time. Weather generators have been employed to get long time series of hydro-meteorological ...
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Expected Future Precipitation in Central Iraq Using LARS WG Stochastic Weather Generator
... Assessment of the LARS-WG performance in simulating the seasonal precipitation in Baghdad is inserted in the “Assessment” column in Table 2. It can be clearly observed from this assessment that the model performs very ...
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Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
... Abstract 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 2005. The ...
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Downscaling future precipitation extremes to urban hydrology scales using a spatio temporal Neyman–Scott weather generator
... Abstract. Spatio-temporal precipitation is modelled for ur- ban application at 1 h temporal resolution on a 2 km grid using a spatio-temporal Neyman–Scott rectangular pulses weather generator (WG). ...
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Weather Generator Application with Mixed Exponential Distribution Representing Rainfall Intensity
... Stochastic weather generator is a statistical model of observed weather variables, with vari- ables generally conditioned on the occurrence of precipitation (Fowler et ...various weather ...
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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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Evaluating Weather Generator Techniques for Downscaling Precipitation for Seasonal Forecasting.
... Each generator was run over two separate domains producing an ensemble of thirty members using the observations from stations for each ...each weather generator with regards to replicating the ...
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Perturbing a Weather Generator using change factors derived from Regional Climate Model simulations
... WG. This has been achieved using RCM simulations under- taken by the UK MOHC using the RCM HadRM3Q0. The use of RCMs to assess the procedure is necessary because there isn’t enough “climate change” in digitally-available ...
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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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Analyzing the future climate change of Upper Blue Nile River basin using statistical downscaling techniques
... Station Weather Generator (LARS-WG) and the Statistical Downscaling Model (SDSM), and (ii) to down- scale future climate scenarios of precipitation, maximum temperature (T max ) and minimum temperature (T ...
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A globally calibrated scheme for generating daily meteorology from monthly statistics: Global-WGEN (GWGEN) v1.0
... The weather generator is particularly suited for the incorporation into models that run on a spatial grid; for example, GWGEN can readily be incorporated into existing DGVMs such as LPJ-LMfire (Pfeiffer et ...
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Projections of future extreme rainfall events using statistical downscaling in Malaysia
... Khazaei, M. R., Zahabiyoun, B. and Saghafian, B. (2012). Assessment of Climate Change Impact on Floods using Weather Generator and Continuous Rainfall- Runoff Model. International Journal of Climatology. ...
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Stochastic ensemble climate forecast with an analogue model
... Machine learning algorithms were recently devised to sim- ulate complex systems (Pathak et al., 2018a) with surpris- ing performances. Such algorithms are sophisticated ways of computing analogues of observed ...
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Climate Change Impact on Sub Surface Hydrology of Kaduna River Catchment
... stochastic weather generator at the site of a hydrological model to simulate the impact of climate change on the sub-surface hydrological response of Kaduna River as a basis for a sustainable ground water ...
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Rainfall analysis in the northern region of Peninsular Malaysia
... by weather generators. Advanced Weather Generator (AWE-GEN) has been proven to generate precipitation data at the temperate climate regions with Gamma distribution being incorporated in the model to ...
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Open Journal Systems
... The weather generator can create a series of meteorological data sets that have statistical difference and correspondence between real and generation data to be used by a crop growth ...data ...
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Runoff estimation using swat model in brahmani-baitarani river basin
... contains weather generator model called WXGEN (Shapley and Williams, ...of weather generator parameters, the weather generator first separately generates precipitation for the ...
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Fuzzy case-based reasoning for weather prediction
... of weather is dealing with uncertainy; observations of weather and climate are uncertain and incomplete, the model to assimilate data and predict the future are uncertain, and external effects such as ...
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