downscaling techniques
Analyzing the future climate change of Upper Blue Nile River basin using statistical downscaling techniques
... for downscaling techniques us- ing a multimodel ...tistical downscaling techniques, namely the Long Ashton Research Station Weather Generator (LARS-WG) and the Statistical Downscaling ...
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The Minimum and Maximum Temperature Forecast Using Statistical Downscaling Techniques for Port Harcourt Metropolis, Nigeria
... This study centers on applying the statistical downscaling technique to the daily minimum and maximum temperatures of Port Harcourt from the period 1985-2014. To select the period of calibration, the wilby and ...
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Reduction of radiation biases by incorporating the missing cloud variability by means of downscaling techniques: a study using the 3-D MoCaRT model
... the downscaling method presented in Ven- ema et ...The downscaling method accepts measured as well as theoretical power spec- tra of cloud properties and, thus, allows for a realistic de- scription of the ...
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Performance evaluation of artificial neural networks in statistical downscaling of monthly precipitation (Case study: Minab watershed)
... scale, downscaling techniques were developed (Fistikoglu, and Okkan, ...several downscaling approaches have been developed to tackle this ...for downscaling GCMs: dynamic downscaling ...
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Solving the Uniform Density Constraint in a Stochastic Downscaling Model
... numerical techniques that would ensure a satisfying prediction of the wind at sufficiently small scales: this is the general objective of the downscaling ...
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A classification algorithm for selective dynamical downscaling of precipitation extremes
... Hydrological modellers and regional decision-makers bene- fit greatly from high spatial O (1 km) and temporal resolution climate data to both drive their catchment-scale hydrological models and design regional planning ...
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A statistical downscaling framework for environmental mapping
... rithm can be used to order the models in terms of optimality. Its mechanics derive from notional functional relationship between the large- and small-scale variables that makes it possible for one to be described in ...
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Downscaling species occupancy from coarse spatial scales
... extents. Downscaling techniques have the potential to form a link between easy-to-collect occupancy distributions and the population estimates necessary for management ...population downscaling, and ...
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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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Evaluation of Various Linear Regression Methods for Downscaling of Mean Monthly Precipitation in Arid Pichola Watershed
... Global circulation models (GCMs) are important tool in assessment of climate change. These are numerical mod- els that have been designed to simulate the past, present, and future climate [1]. These models remain ...
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Uncertainty in Climate Projections: An Investigation of the Contribution from Downscaling.
... in downscaling has their own set of questions and ...of downscaling techniques, GCMs, and emissions scenarios (Figure ...include downscaling this must be ...
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Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods
... The Peace River basin will be the focus of this work. The snow-dominated regime of this basin makes the findings of this work applicable to many mid-latitude areas. The Peace River is located in interior north-eastern BC ...
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Stochastic rainfall interpolation and downscaling
... while downscaling is applied when using indirect measurements from other remote sensing devices, or predicted values from atmospheric models, all of which are usually available at much coarser scales than those ...
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Synoptic approach to forecasting and statistical downscaling of climate parameters (Case study: Golestan Province)
... 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 downscaled via a ...
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Flood risk assessment for urban water system in a changing climate using artificial neural network
... 14 This paper presents results of a downscaling methodology for assessment of impacts of climate change on an urban drainage system. The results explained variability in design rainfall extends to the end of the ...
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Uncertainty in Precipitation Projection under Changing Climate Conditions: A Regional Case Study
... For the regression based statistical downscaling models, a predictor data set is needed. Predictor variables need to be 1) easily available from GCM outputs, 2) reliably simulated by GCMs and 3) strongly ...
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Research On Stochastic Forecasting Discharge Level Time Series Data Using Extended Linear Group And Extended Semi-Group Approach
... generate downscaling data sets on specified water gauging ...generated downscaling data gave results on analysis of hydrological evidence to benefit at upcoming period with respect to water level, overflow ...
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Optimising predictor domains for spatially coherent precipitation downscaling
... An extended version of the growing rectangular domain al- gorithm has been described and applied for deriving ensem- bles of five near-optimum geopotential predictor domains for 608 individual target zones covering ...
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An Urban-Conscious Rapid Wind Downscaling Model for Early Design Stages
... For the identified issues in wind downscaling, the proposed model has responded to two: the lack of topographic effect and homogeneity in surrounding terrains. This was explicitly achieved through the database ...
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Statistical Downscaling of General Circulation Model Outputs to Precipitation - part 1: calibration and validation
... both downscaling models tended to over-predict the average of the observed ...both downscaling models were able to adequately capture the precipitation pattern seen in the observations, through- out the ...
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