Applications of hybrid wavelet–artificial intelligence models in hydrology: a review

V Nourani, AH Baghanam, J Adamowski, O Kisi - Journal of Hydrology, 2014 - Elsevier
Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …

Recent advances in wavelet analyses: Part 1. A review of concepts

D Labat - Journal of Hydrology, 2005 - Elsevier
This contribution provides a review of the most recent wavelet applications in the field of
earth sciences and is devoted to introducing and illustrating new wavelet analysis methods …

[HTML][HTML] A practical guide to wavelet analysis

C Torrence, GP Compo - Bulletin of the American …, 1998 - journals.ametsoc.org
A practical step-by-step guide to wavelet analysis is given, with examples taken from time
series of the El Niño–Southern Oscillation (ENSO). The guide includes a comparison to the …

Application of the cross wavelet transform and wavelet coherence to geophysical time series

A Grinsted, JC Moore, S Jevrejeva - Nonlinear processes in …, 2004 - npg.copernicus.org
Many scientists have made use of the wavelet method in analyzing time series, often using
popular free software. However, at present there are no similar easy to use wavelet …

Interdecadal changes in the ENSO–monsoon system

C Torrence, PJ Webster - Journal of climate, 1999 - journals.ametsoc.org
Abstract The El Niño–Southern Oscillation (ENSO) and Indian monsoon are shown to have
undergone significant interdecadal changes in variance and coherency over the last 125 …

Influence of the Arctic Oscillation and El Niño‐Southern Oscillation (ENSO) on ice conditions in the Baltic Sea: The wavelet approach

S Jevrejeva, JC Moore… - Journal of Geophysical …, 2003 - Wiley Online Library
Variability in time series of ice conditions in the Baltic Sea is examined within the context of
atmospheric circulation represented by the North Atlantic Oscillation (NAO) and Arctic …

Two hybrid artificial intelligence approaches for modeling rainfall–runoff process

V Nourani, Ö Kisi, M Komasi - Journal of Hydrology, 2011 - Elsevier
The need for accurate modeling of the rainfall–runoff process has grown rapidly in the past
decades. However, considering the high stochastic property of the process, many models …

A multivariate ANN-wavelet approach for rainfall–runoff modeling

V Nourani, M Komasi, A Mano - Water resources management, 2009 - Springer
Without a doubt the first step in any water resources management is the rainfall–runoff
modeling over the watershed. However considering high stochastic property of the process …

A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation

V Nourani, MT Alami, MH Aminfar - Engineering Applications of Artificial …, 2009 - Elsevier
Doubtlessly the first step in a river management is the precipitation modeling over the
related watershed. However, considering high-stochastic property of the process, many …

Rainfall–runoff relations for karstic springs. Part II: continuous wavelet and discrete orthogonal multiresolution analyses

D Labat, R Ababou, A Mangin - Journal of hydrology, 2000 - Elsevier
Karstic watersheds appear as highly non-linear and non-stationary systems. The main focus
of this paper is a heuristic study of this non-stationarity using a time-scale localisation …