Wavelet analysis of the association between the Southern Oscillation and the Indian summer monsoon
By J. Kulkarni. 2000
49 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/4f81522f4d0390308d971bc14450a3581dc25f30
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
In Global and Planetary Change
Citations in the corpus
- Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature (2007, methodology): “2.1. Wavelet Transform for Time Series Decomposition [9] The wavelet transform has been applied to many geophysical time series [e.g., Farge, 1992; Foufoula-Georgiou and Kumar ,1 995;Hubbard ,1 996; Kulkarni, 2000; Torrence and Compo, 1998; Wang and Wang, 1996; Weng and Lau, 1994].”
- Using wavelets for data generation (2001, background): “These applications include, for instance, spatial rainfall ® elds (Kumar & Foufoula-Georgiou, 1993), hydrological time series analysis (Feng, 1998), atmospheric surface layer measurements (Szilagyi et al., 1999), and understanding the monsoon climate (Kulkarni, 2000).”