Detection of climate signal in dendrochronological data analysis: a comparison of tree-ring standardization methods
By S. Helama, M. Lindholm, M. Timonen, M. Eronen. 2004
180 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/526b947e76e808910e770de84fc86e4958ddee14
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
- Simon Michael Papalexiou
- M. de Luis
- K. Čufar
- Maurizio Maugeri
- Demetris Koutsoyiannis
- Franco Biondi
- Jesús Julio Camarero
- F. Serinaldi
In Global and Planetary Change
- Simon Michael Papalexiou
- M. de Luis
- Demetris Koutsoyiannis
- K. Čufar
- Yannis Markonis
- Theano Iliopoulou
- Maurizio Maugeri
- A. Di Filippo
Citations in the corpus
- A new stochastic model of episode peak and duration for eco-hydro-climatic applications (2008, unknown): “(Biondi, 1993; Cook and Peters, 1997; Biondi, 1999; Helama et al., 2004).”
- Bioclimatology of beech (Fagus sylvatica L.) in the Eastern Alps: spatial and altitudinal climatic signals identified through a tree‐ring network (2007, background): “Although ‘standardized indices’ used in dendrochronology are often calculated as ratios between the measurement and the fitted curve value, there is evidence that variance-stabilized residuals should be preferred (Cook & Peters, 1997; Biondi, 1999; Helama et al., 2004).”
- Revisiting long-range dependence in annual precipitation (2018, methodology): “This methodology has a severe impact on the low-frequency 245 variability [Briffa et al., 1996; Helama et al., 2004], and thus on H estimation, as presented in 246 Figure 2 (red diagonal lines).”