Lack of hydrological data in arid regions is often a huge hurdle water resources investigation. This paper discusses and investigates the long-term rainfall trend by using a nonlinear time series analyses method (Fourier/wavelet and Power Spectrum Analysis) as an alternative way for future research on the prediction of hydrological data
The principle of stationarity plays an important role in time series analysis. A key assumption in c...
In recent times, trend analysis and change point detection in hydroclimatic variables receiving sign...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...
The existing methods based on statistical techniques for long range forecasts of Indian summer monso...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...
The water erosion in semiarid region of northeastern Brazil is mainly influenced by the intense rain...
Identification of climatic drivers that simulate the variability of year to multiyear sustained rain...
The paper studies signal processing for the annual runoff processes of the Tarim headwater basin. By...
This work is dedicated to the study of the spatio-temporal variability of climate in Morocco by the ...
International audienceThis contribution provides a review of the most recent wavelet applications in...
Spatial and temporal analysis of rainfall data were carried out along with wavelet analysis for seve...
International audienceThe determination of the temporal variability of water resources is of high im...
Two key issues of continuous wavelet transform (CWT), the choice of wavelet basis function and the d...
These days wavelet analysis is becoming popular for hydrological time series simulation and forecast...
Climate change has become an increasingly dominant environmental issue which has been attracting ...
The principle of stationarity plays an important role in time series analysis. A key assumption in c...
In recent times, trend analysis and change point detection in hydroclimatic variables receiving sign...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...
The existing methods based on statistical techniques for long range forecasts of Indian summer monso...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...
The water erosion in semiarid region of northeastern Brazil is mainly influenced by the intense rain...
Identification of climatic drivers that simulate the variability of year to multiyear sustained rain...
The paper studies signal processing for the annual runoff processes of the Tarim headwater basin. By...
This work is dedicated to the study of the spatio-temporal variability of climate in Morocco by the ...
International audienceThis contribution provides a review of the most recent wavelet applications in...
Spatial and temporal analysis of rainfall data were carried out along with wavelet analysis for seve...
International audienceThe determination of the temporal variability of water resources is of high im...
Two key issues of continuous wavelet transform (CWT), the choice of wavelet basis function and the d...
These days wavelet analysis is becoming popular for hydrological time series simulation and forecast...
Climate change has become an increasingly dominant environmental issue which has been attracting ...
The principle of stationarity plays an important role in time series analysis. A key assumption in c...
In recent times, trend analysis and change point detection in hydroclimatic variables receiving sign...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...