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RISOn the Use of Reanalysis Data for Downscaling
Publisher: American Meteorological Society
Abstract: n this study, a worldwide overview on the expected sensitivity of downscaling studies to reanalysis choice is provided. To this end, the similarity of middle-tropospheric variables?which are important for the development ...
Comments on “Global and Regional Comparison of Daily 2-m and 1000-hPa Maximum and Minimum Temperatures in Three Global Reanalyses”
Publisher: American Meteorological Society
Abstract: itman and Perkins claimed that instantaneous 2-m air temperatures from different reanalysis products largely disagree over widespread regions of the globe and that, because of their much smaller differences, temperatures ...
Reassessing Model Uncertainty for Regional Projections of Precipitation with an Ensemble of Statistical Downscaling Methods
Publisher: American Meteorological Society
Abstract: AbstractThis is the second in a pair of papers in which the performance of statistical downscaling methods (SDMs) is critically reassessed with respect to their robust applicability in climate change studies. Whereas the ...
Assessing and Improving the Local Added Value of WRF for Wind Downscaling
Publisher: American Meteorological Society
Abstract: imited area models (LAMs) are widely used tools to downscale the wind speed forecasts issued by general circulation models. However, only a few studies have systematically analyzed the value added by the LAMs to the ...
Assessing the Skill of Precipitation and Temperature Seasonal Forecasts in Spain: Windows of Opportunity Related to ENSO Events
Publisher: American Meteorological Society
Abstract: The skill of state-of-the-art operational seasonal forecast models in extratropical latitudes is assessed using a multimodel ensemble from the Development of a European Multimodel Ensemble System for Seasonal-to-Interannual ...
Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions
Publisher: American Meteorological Society
Abstract: he performance of statistical downscaling (SD) techniques is critically reassessed with respect to their robust applicability in climate change studies. To this end, in addition to standard accuracy measures and distributional ...