bias correction based method
A method to preserve trends in quantile mapping bias correction of climate modeled temperature
... statistical bias cor- rection methods in the reference period is well documented (Grillakis et ...mean bias of ...mean bias is expressed by the average horizontal distance between the TF and the ...
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Improving runoff estimates from regional climate models: a performance analysis in Spain
... existing bias (Sharma et ...the bias in the outputs of the climate models to ensure accurate results in hydrology and water re- sources management ...This method is equivalent to correcting the ...
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Climate change effects on irrigation demands and minimum stream discharge: impact of bias correction method
... flow. Based on a global model for irrigation requirements and the two general circulation models, GCMs, ECHAM4 and HadCM3, D¨oll (2002) predicts an 8–10 % increase in irriga- tion demands for Western Europe in ...
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Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments
... and bias cor- rected, most often by univariate approaches such as quan- tile mapping of individual variables, neglecting the relation- ships that exist between climate ...multivariate bias correction ...
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Evaluation of a bias correction method applied to downscaled precipitation and temperature reanalysis data for the Rhine basin
... the bias- corrected ERA15/REMO precipitation performs ...the bias correction seems to correct for this bias reasonably ...rection method is less capable of correcting the monthly pre- ...
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Modifying Hargreaves Samani Equation for Estimating Reference Evapotranspiration in Dryland Regions of Amudarya River Basin
... popular method to estimate ...Penman-Monteith method requires many parameters (solar radiation, air temperature, wind speed and humidity), while Hargreaves-Samani method calculates ETo based ...
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A new region-aware bias-correction method for simulated precipitation in areas of complex orography
... of correction meth- ods which can be broadly classified into distribution-derived transformations, parametric transformations and nonpara- metric transformations (Gudmundsson et ...nonparametric method that ...
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A trend-preserving bias correction – the ISI-MIP approach
... ocean), based on the non-bias-corrected data, and the bias-corrected warming signal over land areas that is used as input by the impact models, since no bias correc- tion is performed over ...
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A combined statistical bias correction and stochastic downscaling method for precipitation
... combined method were evaluated individually and ...QM bias correction (first step) of wet day intensities employs the mixture distribution of a gamma distribution for the precipitation mass and a ...
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Evaluation of radar gauge merging methods for quantitative precipitation estimates
... field bias (MFB) correction reduces the error by about ...local bias (SRD) correction is ...latter method is close to the Brandes one (BRA), which is also a spatial ...kriging ...
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A Region Based Method for Bias Correction of Images in Relating to Intensity Inhomogeneity in MRI
... Diagnostic imaging is a useful tool in medication nowadays. Resonance imaging (MRI), computerized axial tomography (CT), digital diagnostic procedure, and alternative imaging modalities offer an efficient means that for ...
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Bias correction and uncertainty characterization of Dead-Reckoned paths of marine mammals
... our method provided a good estimate/prediction of the animal’s location based on the DR ...our method when going from the leave-one-out CV to leave-5-out CV (Tables 1, ...BM method ...
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Reducing decision errors in the paired comparison of the diagnostic accuracy of screening tests with Gaussian outcomes
... the method is the assumption that screening test scores are distributed bivariate Gaussian conditional on disease ...the method to two common devi- ations from normality: multinomial and zero-weighted ...
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Folger, Kathrin (2016): Height correction of atmospheric motion vectors using space-borne lidar observations from CALIPSO. Dissertation, LMU München: Fakultät für Physik
... this method is restricted to space-borne lidar observations available in real- time and is therefore rather complex to apply in operational data assimilation ...height correction in a statistical approach ...
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Gauss and Poisson approximation: applications to CDO tranches pricing
... numerical method, based on Stein’s method and zero bias transformation, to compute CDO tranche ...order correction terms for both Gauss and Poisson approximations and the approximation ...
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A Novel Approach to Simultaneous Image Segmentation and Bias Correction
... and bias correction of images with intensity in ...Our method is based on an observation that intensities in a relatively small local region are separable, despite of the inseparability of the ...
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Bias correction of ANN based statistically downscaled precipitation data for the Chaliyar river basin
... Uncorrected bias in the downscaled data, if any, should be corrected before the downscaled data is used in hydrologic ...nonlinear bias correction method is applied to Artificial Neural ...
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Correction of Misclassifications Using a Proximity Based Estimation Method
... and correction of misclas- sifications in an edge neighborhood is illustrated in Figure ...estimation method, and at the same time the edge remains ...and correction of misclassifications in a ...
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A New Method of Firing Table Correction based on DBSCAN
... new method can be 10% more efficient than other ...new method that should be concerned, the hits number which can indi- cate the efficiency of a firing table increases with the increase of the MinPts and ε, ...
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The effect of empirical statistical correction of intensity dependent model errors on the temperature climate change signal
... rather coarse spatial resolution, which are refined by dy- namical or statistical downscaling methods (e.g., Giorgi and Mearns, 1991; Fowler et al., 2007). Currently, an increasing number of climate change impact ...
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