All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Filters

213 911 (0,267s)

Result

Testing the performance of three nonlinear methods of time series analysis for prediction and downscaling of European daily temperatures

Testing the performance of three nonlinear methods of time series analysis for prediction and downscaling of European daily temperatures......

DG - Vědy o atmosféře, meteorologie

  • 2005
  • Jx
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

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

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

VALUE: A framework to validate downscaling approaches for climate change studies

VALUE is an open European network to validate and compare downscaling methods and statistical downscaling methods. In this paper, we present the keyingredients aninterdisciplinary downscaling community. A ...

DG - Vědy o atmosféře, meteorologie

  • 2015
  • Jx
  • Link
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 me...

DG - Vědy o atmosféře, meteorologie

  • 2008
  • Jx
Result

SIFT with the F-transform pre-processing

location. Our goal is to investigate the inu-ence of various downscaling methods which pre-process images beforethe SIFT is executed. For every downscaling method, we-transform downscaling algorithm....

Applied mathematics

  • 2018
  • D
  • Link
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

Inter-comparison of statistical downscaling methods for projection of extreme precipitation in Europe

models. Hence, statistical downscaling is necessary to address climate change impacts at the catchment scale. This study compares eight statistical downscaling methods(SDMs) often used in climate change impact studies. Fou...

DA - Hydrologie a limnologie

  • 2015
  • Jx
  • 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 ...

DG - Vědy o atmosféře, meteorologie

  • 2002
  • Jx
  • 1 - 10 out of 213 911