Stochastic Model Output Statistics for Bias Correcting and Downscaling Precipitation Including Extremes

By G. Wong, Douglas Maraun, Mathieu Vrac, M. Widmann, J. Eden, T. Kent. 2014

60 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/1b74b721cf4582299e9706b85d5cc40484188dee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. M. Widmann
2. R. Benestad
3. Mathieu Vrac
4. B. Hingray
5. Jouni Räisänen
6. Douglas Maraun
7. Rodrigo Manzanas
8. Renate A. I. Wilcke

In Global and Planetary Change

1. Mathieu Vrac
2. M. Widmann
3. R. Benestad
4. B. Hingray
5. Jouni Räisänen
6. Douglas Maraun
7. Rodrigo Manzanas
8. Renate A. I. Wilcke

Citations in the corpus

• An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment (2016, methodology): “Moreover, the analysis also covers some more experimental recent MOS developments (#21–23 Table 3, #22 Table 4) such as stochastic regression (Wong et al., 2014) and analog- and regression-based MOS methods (Turco, Llasat, Herrera, & Gutiérrez, 2017; Turco, Quintana-Seguí, Llasat, Herrera, &…”