Statistical Downscaling
A statistical downscaling framework for environmental mapping
... livelihood. Statistical downscaling techniques have been widely used to extract high-resolution information from regional-scale variables produced by CTMs in climate ...novel statistical downscal- ...
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Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment
... In the following, the CvM score is computed to compare the observed CDF with (i) the CDF of the interpolated large- scale fields from ERA-40 reanalyses, (ii) the CDF obtained from the CDF-t statistical ...
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Inter comparison of statistical downscaling methods for projection of extreme precipitation in Europe
... Comparison of the results of the SDMs with EPI obtained from the uncorrected RCMs shows that in the case of NO2 all the SDMs clearly agree better with the observations. But for the other two catchments, the results ...
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Synoptic approach to forecasting and statistical downscaling of climate parameters (Case study: Golestan Province)
... in statistical downscaling and to minimize modeling error, meaning that in the present method, in spite of other statistical downscaling models, the climate components were predicted and ...
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Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean
... dynamical downscaling techniques, statistical downscaling models (SDMs) are also used in antic- ipated hydrologic impact studies under climate change sce- narios (for a review, see, ...determining ...
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A statistical downscaling method for daily air temperature in data-sparse, glaciated mountain environments
... Abstract. This study presents a statistical downscaling (SD) method for high-altitude, glaciated mountain ranges. The SD method uses an a priori selection strategy of the predictor (i.e., predictor ...
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Climate change assessment for Mediterranean agricultural areas by statistical downscaling
... developed statistical downscaling tech- niques for climatic predictions in order to provide scenar- ios for selected small regions or complement the results of dynamical ...models. Statistical ...
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Climate change scenarios generated by using GCM outputs and statistical downscaling in an arid region
... in downscaling daily precipitation than SDSM over the ...entire statistical characteristics of variables, were also used for model ...for downscaling has been on reproducing the mean behavior of ...
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Quantile Regression in Statistical Downscaling to Estimate Extreme Monthly Rainfall
... Statistical downscaling is a technique using the model to forecast monthly rainfall [2]. This technique develops functional relationship between GCM (Global Circulation Model) output as global scale data ...
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Statistical Downscaling of General Circulation Model Outputs to Precipitation - part 1: calibration and validation
... the statistical downscaling of outputs of CGCM3 to monthly ...any statistical downscaling study should be of adequate size and of an appropriate ...the downscaling study described in ...
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Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods
... Gridded statistical downscaling methods provide a com- putationally efficient and effective means of producing plau- sible hydro-climatology from a large ensemble of GCMs (Salathe et ...multiple ...
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Projections of future extreme rainfall events using statistical downscaling in Malaysia
... earlier, downscaling is used to match the scale between the GCM and the station scale since the GCM scale is much coarser compared to station ...of downscaling known as dynamical and statistical are ...
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Evaluation of a statistical downscaling procedure for the estimation of climate change impacts on droughts
... a statistical downscaling method has been applied for monthly ...the downscaling procedure in the estimation of a meteorological drought index the Standard- ized Precipitation Index (SPI) at multiple ...
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Application of Principal Component Regression with Dummy Variable in Statistical Downscaling to Forecast Rainfall
... Statistical downscaling (SD) analyzes relationship between local-scale response and global-scale predictors. The SD model can be used to forecast rainfall (local-scale) using global-scale precipita- tion ...
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Statistical downscaling of the French Mediterranean climate: assessment for present and projection in an anthropogenic scenario
... one statistical downscaling model, re- ferred as the “Cumulative Distribution Function transform” (CDF-t) ...with statistical downscaling and bi-linear interpola- tion of large-scale wind ...
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Statistical Downscaling with Bayesian Quantile Regression to Estimate Extreme Rainfall in West Java
... West Java is one of the largest regions producing rice in Indonesia. Information on rainfall is very important for farmers to anticipate extreme events that can cause losses in agriculture. Extreme rainfall patterns can ...
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Present and LGM permafrost from climate simulations: contribution of statistical downscaling
... the statistical downscaling methods (SDMs) are less resource-intensive and represent an alternative to quickly obtain high-resolution fields from several different climate ...using statistical re- ...
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Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
... Chaotic Statistical Downscaling model (CSD) evaluate the presence of deterministic chaos for different rainfall accumulation intervals for both of the time series (rainfall gauge stations and the global ...
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Statistical downscaling of precipitation projections in Southeast Queensland Catchments
... The initial motivation for this study was the dire situation that faced southeast Queensland water resources at the end of 2006. After six years of below average rainfall combined with the pressures of supplying an ...
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Improvements of statistical downscaling methods and evaluation of their contributions to the uncertainty of hydrologic impacts in a changing climate
... used downscaling techniques: dynamic downscaling (regional climate models (RCMs)) and statistical downscaling ...many downscaling studies use more than one of these categories (Wilby ...
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