N–PLS regression as empirical downscaling tool in climate change studies

By Klemen Bergant, Lucka Kajfez-Bogataj. 2005

57 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/c4e14cb17235c33a4cf6f76f95e409bfdc685442

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. Hayley J. Fowler
2. Stephen Blenkinsop
3. C. Tebaldi
4. Reto Knutti
5. P. Rasmussen
6. R. Tareghian

In Global and Planetary Change

1. Hayley J. Fowler
2. Stephen Blenkinsop
3. C. Tebaldi
4. Reto Knutti
5. P. Rasmussen
6. R. Tareghian

Citations in the corpus

• Tree-ring variation, wood formation and phenology of beech (Fagus sylvatica) from a representative site in Slovenia, SE Central Europe (2008, unknown): “ture and more uneven distribution of precipitation associated with more frequent droughts and extreme rainfall events (Bergant and Kajfež-Bogataj 2005), which Communicated by H.”
• Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, methodology): “Bergant and Kajfez-Bogataj (2005) used multi-way partial least squares regression to downscale temperature and precipitation in Slovenia, more appropriate with predictor variables that are strongly correlated.”