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Results

36 718 results (0,248s)

Result

Comparison of extremes in GCM-simulated, downscaled and observed central-European temperature series.

control climates, (iii) statistical downscaling from observations, and (iv) statistical downscaling from GCMs. The skill of both GCMs in reproducing extreme high and low temperatures is limited, and statistica...

DG - Vědy o atmosféře, meteorologie

  • 2002
  • Jx
Result

Statistical downscaling of GCM outputs for the Czech Republic by nonlinear techniques

The presented analysis focuses on the problem of statistical downscaling of large-scale data, and suitability of different nonlinear methods of time series analysis for processing GCM predictions of the future climate....

DG - Vědy o atmosféře, meteorologie

  • 2006
  • Jx
Result

Sensitivity of climate change estimates using statistical downscaling to the method and predictors.

In the majority of downscaling studies concerned with climate change estimates, only one form of the transfer function and a single set of predictors are employed....

DG - Vědy o atmosféře, meteorologie

  • 2002
  • D
Result

Statistical downscaling in central Europe: evaluation of methods and potential predictors.

Original scientific paper dealing with Statistical downscaling in central Europe: evaluation of methods and potential predictors.

DG - Vědy o atmosféře, meteorologie

  • 1999
  • Jx
Result

The use of statistical downscaling in constructing climate change scenarios for the Czech Republic. Part I: Methodological studies.

The paper is an interesting contribution to statistical climatology. It is really worth reading.

DG - Vědy o atmosféře, meteorologie

  • 2000
  • Jx
Result

Non-linearity in statistical downscaling: does it bring an improvement for daily temperature in Europe?

Several linear and non-linear statistical downscaling methods are compared for winter daily temperature at eight European stations. Considering all the criteria together, the pointwise linear regression appears to be the best method...

DG - Vědy o atmosféře, meteorologie

  • 2008
  • Jx
Result

An R package for assessment of statistical downscaling methods for hydrological climate change impact studies

the projected changes (delta change). The validation of the statistical downscaling methods of statistical downscaling methods at multiple time scales as well as several advanced methods for statistical <...

Water resources

  • 2017
  • Jimp
  • Link
Result

SantanderMetGroup/downscaleR

An R package for bias correction and statistical downscaling. Tools for climate data calibration (bias correction, qq-mapping...) and perfect-prog downscaling, as part of climate4R bundle (http://meteo.unican.es/climate4R)....

Meteorology and atmospheric sciences

  • 2018
  • R
  • Link
Result

Statistical downscaling of daily temperature in Central Europe.

Statistical downscaling methods and potential large-scale predictors are intercompared for winter daily mean temperature in a network of stations in centraland western Europe. The methods comprise (i) canonical correlation analysis ...

DG - Vědy o atmosféře, meteorologie

  • 2002
  • Jx
Result

Simulation of surface air temperature by GCMs, statistical downscaling and weather generator: higher order statistical moments.

The third and fourth statistical moments, that is, skewness and kurtosis, are compared for daily maximum temperature in winter between observations, outputs of two global climate models, four versions of statistical downscaling<...

DG - Vědy o atmosféře, meteorologie

  • 2003
  • Jx
  • 1 - 10 out of 36 718