Statistical Downscaling of Daily Temperature in Central Europe

By R. Huth. 2002

184 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0d233d3e323b1d5537642f0ed28cf116b1e13e2c

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Citations in the corpus

Evaluation of statistical downscaling methods for climate change projections over Spain: Present conditions with perfect predictors (2021, methodology): “MLRs and GLMs have been widely used to downscale temperature and precipitation because of their simplicity (Benestad, 2002; Huth, 2002; Huth, 2004; Benestad, 2005; Gutiérrez et al., 2019; Hertig et al., 2019).”
An asynchronous regional regression model for statistical downscaling of daily climate variables (2013, unknown): “…and simulated time series as opposed to matching corresponding day-to-day data points, which is the basis for many other regression-based statistical downscaling studies (Wilby et al., 1998; Huth, 1999, 2002; Wilby and Wigley, 2000; Huth et al., 2001; Boé et al., 2007; Kostopoulou et al., 2007).”
Automated regression-based statistical downscaling tool (2008, result): “This is in agreement with other studies (Wilby et al., 1998; Huth, 1999, 2002, 2004; Gachon et al., 2005) which have shown that the use of combined predictors (circulation and temperature) is superior to that of any single predictor when downscaling temperature and/or precipitation.”
Statistical downscaling model based on canonical correlation analysis for winter extreme precipitation events in the Emilia‐Romagna region (2008, methodology): “…al., 2003; Matulla et al., 2003; Huth, 2004), models based on canonical correlation analysis (CCA) (von Storch et al., 1993; Busuioc et al., 2001, 2006; Benestad, 2002; Chen and Chen, 2003; Huth, 2004; Xoplaky et al., 2004) or singular-value decompositions (e.g. Huth, 2002; Widmann et al., 2003).”
Least square support vector and multi‐linear regression for statistically downscaling general circulation model outputs to catchment streamflows (2013, unknown): “For downscaling daily mean temperature, Huth (2002) utilized MLR. Chu et al .”
An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment (2016, unknown): “…applications in different European regions (Benestad, 2002; Gutiérrez et al., 2013; Hanssen-Bauer, Achberger, Benestad, Chen, & Førland, 2005; Hertig et al., 2014; Huth, 1999, 2002, 2005; San-Martín et al., 2017; Timbal, Dufour, & McAvaney, 2003), excluding redundancy as much as possible.”
Multisite multivariate modeling of daily precipitation and temperature in the Canadian Prairie Provinces using generalized linear models (2016, background): “, precipitation) that are critically dependent on sub-grid scale processes such as those involving clouds and topography (Huth 2002; Cavazos and Hewitson 2005; Dibike et al. 2008).”
Comparison of transfer functions in statistical downscaling models for daily temperature and precipitation over Canada (2012, methodology): “Thus, they cannot be applied directly to a local scale for climate change impact studies (Wilby et al. 2002; Huth 2002; Cavazos and Hewitson 2005; Dibike et al. 2008).”
Application of nearest‐neighbor resampling for homogenizing temperature records on a daily to sub‐daily level (2006, background): “Other techniques are proposed to artificially ‘inflate’ the variance (Von Storch, 1999; Huth, 2002).”