Predictions of climate change over Europe using statistical and dynamical downscaling techniques
By J. Murphy. 2000
197 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1d2743d2ea4d995e917d3a551aa2554db0e1817e
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
- C. Tebaldi
- René Laprise
- Hayley J. Fowler
- R. Katz
- Hans von Storch
- Robert L. Wilby
- L. Mearns
- Stephen Blenkinsop
In Global and Planetary Change
- C. Tebaldi
- René Laprise
- Robert L. Wilby
- Hayley J. Fowler
- L. Mearns
- R. Katz
- Hans von Storch
- Stephen Blenkinsop
Citations in the corpus
- Statistical Downscaling of Daily Temperature in Central Europe (2002, methodology): “This is impossible to prove on the observed data; instead, one should resort to a GCM output and compare the GCM-simulated climate change with that derived from downscaling (Busuioc et al. 1999; Murphy 2000).”
- Regional Climate Information—Evaluation and Projections (2001, background): “A number of review papers have dealt with downscaling concepts, prospects and limitations: von Storch (1995); Hewitson and Crane (1996); Wilby and Wigley (1997); Zorita and von Storch (1997); Gyalistras et al. (1998); Murphy (1999,2000).”
- Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, methodology): “Thus humidity has increasingly been used to downscale precipitation (e.g. Karl et al., 1990; Wilby and Wigley, 1997; Murphy, 2000; Beckmann and Buishand, 2002); particularly as it may be an important predictor under a changed climate.”