(A) Rainfall recordings in the Mara were derived from 15 gauges (Eq 3 in S1 Text) during the period 1965–2015. (B) Rainfall in Narok Town in Kenya was recorded during 1913–2015. The wavelet power spectrum (bias-corrected and normalized by the variance) for varying rainfall cycle periods is given for each month and year. Areas of high power are indicated in warm colours (red), whereas areas of low power are indicated in cold colours (blue). The semi-transparent area represents the cone of influence, where edge effects become important due to padding with zeros at the end of the time series. The power in this region is reduced. Significantly higher wavelet power spectra than expected under a red-noise process AR(1) (lag ‒ 1 = 0.05 for the Mar...
The wavelet cross spectra of the yearly sunspot index and homogeneous-zone Indian monsoon rainfall t...
Seasonal and annual rainfall data of the stations: Akluj, Baramati, Bhor and Malsiras stations lo-ca...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...
In investigating EA rainfall variability and its relationship to other climatic elements it has beco...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...
Rainfall series in various parts of Kenya is subjected to spectral analysis. Contrary to past invest...
The method of wavelets was used to assess the influence of medium- to long-term climate variability ...
The water erosion in semiarid region of northeastern Brazil is mainly influenced by the intense rain...
Rainfall characteristics at different temporal resolutions play a significant role in sustainable ur...
The existence of trends in hydro-climatic variables such as rainfall is an indication of potential c...
The urban centers within northeastern Brazil are mainly influenced by the intense rainfalls, which c...
Blue lines are the 0.95/0.05 (dotted), 0.90/0.10 (dashed) and 0.50 (continuous) quantiles. (A, C, E)...
Understanding the underlying patterns of atmospheric systems is an important step in understanding c...
Indian rainfall data over the period 1870 to 1990 have been analysed using continuous wavelet transf...
(A, C, D) Rainfall recordings in the Mara were derived from 15 gauges (Eq 3 in S1 Text) during 1966–...
The wavelet cross spectra of the yearly sunspot index and homogeneous-zone Indian monsoon rainfall t...
Seasonal and annual rainfall data of the stations: Akluj, Baramati, Bhor and Malsiras stations lo-ca...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...
In investigating EA rainfall variability and its relationship to other climatic elements it has beco...
This paper is a sequel to a recent study of the authors' that uses a combination of multiresolution ...
Rainfall series in various parts of Kenya is subjected to spectral analysis. Contrary to past invest...
The method of wavelets was used to assess the influence of medium- to long-term climate variability ...
The water erosion in semiarid region of northeastern Brazil is mainly influenced by the intense rain...
Rainfall characteristics at different temporal resolutions play a significant role in sustainable ur...
The existence of trends in hydro-climatic variables such as rainfall is an indication of potential c...
The urban centers within northeastern Brazil are mainly influenced by the intense rainfalls, which c...
Blue lines are the 0.95/0.05 (dotted), 0.90/0.10 (dashed) and 0.50 (continuous) quantiles. (A, C, E)...
Understanding the underlying patterns of atmospheric systems is an important step in understanding c...
Indian rainfall data over the period 1870 to 1990 have been analysed using continuous wavelet transf...
(A, C, D) Rainfall recordings in the Mara were derived from 15 gauges (Eq 3 in S1 Text) during 1966–...
The wavelet cross spectra of the yearly sunspot index and homogeneous-zone Indian monsoon rainfall t...
Seasonal and annual rainfall data of the stations: Akluj, Baramati, Bhor and Malsiras stations lo-ca...
Not AvailableThe powerful methodology of “Wavelet analysts in frequency domain” for analyzing time-s...