Nonlinear ensemble prediction of chaotic daily rainfall
By C. T. Dhanya, D. Nagesh Kumar. 2010
103 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/df22050e234d18929fba16a686de82b54724cef2
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In Economics and Econometrics
In Global and Planetary Change
- F. Serinaldi
- Shenglian Guo
- Vijay P. Singh
- M. Janga Reddy
- Poulomi Ganguli
- András Bárdossy
- Chris G. Kilsby
- Niko E. C. Verhoest
In Statistical and Nonlinear Physics
Citations in the corpus
- Chaotic Time Series Prediction Based on a Novel Robust Echo State Network (2012, background): “Many time series, such as sunspots, runoff, electric loads, temperature, and rainfall, can be preferably interpreted through chaos theory [1]–[3].”
- Multifractality, imperfect scaling and hydrological properties of rainfall time series simulated by continuous universal multifractal and discrete random cascade models (2010, background): “As some rainfall series seem to support the presence of chaotic-deterministic behavior (e.g.,Sivakumar et al., 1999; Dhanya and Nagesh Kumar, 2010), and some do not (e.g.,Koutsoyiannis and Pachakis, 1996; Sivakumar et al., 2006), the analysis of continuous rainfall records has not yielded…”