Volume 27, Issue 2, November 2016, Pages 365–377
Albert Mbata Muliwavyo1, Jean Marie Tshitenge Mbuebue2, Edmond Phuku Phuati3, Kyandoghere Kyamakya4, François Tondozi Keto5, Richard Bopili Mbotia6, and Ndotoni Zana7
1 Department of Physics, University of Kinshasa, B.P. 190 Kinshasa XI, RD Congo
2 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
3 Department of Physics, University of Kinshasa, B.P. 190 Kinshasa XI, RD Congo
4 Institut für Intelligente Systemtechnologien, Fakultät für Technische Wissenschaften, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Österreich, Austria
5 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
6 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
7 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wavelet analysis was applied to the standardized rainfall time series in the south-eastern in the Democratic Republic of the Congo in order to determine periods of rainfall fluctuations in this region at interannual and decennial timescales and to assess the influence of regional or remote climate phenomena on the rainfall of that sector between 1940 and 1997. The local, the global and the scale-averaged wavelet power spectrum of the rainfall time series of that sector indicate an important fluctuation between practically 1960 and 1970. Wavelet coherence spectral analysis shows that the southern oscillation El Nino phenomenon, the Western Hemisphere Warm Pool, the Atlantic Ocean climate variability and the Indian Ocean dipole have a very weak influence on rainfall on this territory. Scale-averaged wavelet coherence in 2-16 years band is lower than 0.5 whatever the climate index considered. Other factors must also be considered in the study of rainfall variability in this study area.
Author Keywords: climate index, wavelet analysis, coherence.
Albert Mbata Muliwavyo1, Jean Marie Tshitenge Mbuebue2, Edmond Phuku Phuati3, Kyandoghere Kyamakya4, François Tondozi Keto5, Richard Bopili Mbotia6, and Ndotoni Zana7
1 Department of Physics, University of Kinshasa, B.P. 190 Kinshasa XI, RD Congo
2 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
3 Department of Physics, University of Kinshasa, B.P. 190 Kinshasa XI, RD Congo
4 Institut für Intelligente Systemtechnologien, Fakultät für Technische Wissenschaften, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Österreich, Austria
5 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
6 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
7 Department of Physics, Faculty of Sciences, University of Kinshasa, RD Congo
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Wavelet analysis was applied to the standardized rainfall time series in the south-eastern in the Democratic Republic of the Congo in order to determine periods of rainfall fluctuations in this region at interannual and decennial timescales and to assess the influence of regional or remote climate phenomena on the rainfall of that sector between 1940 and 1997. The local, the global and the scale-averaged wavelet power spectrum of the rainfall time series of that sector indicate an important fluctuation between practically 1960 and 1970. Wavelet coherence spectral analysis shows that the southern oscillation El Nino phenomenon, the Western Hemisphere Warm Pool, the Atlantic Ocean climate variability and the Indian Ocean dipole have a very weak influence on rainfall on this territory. Scale-averaged wavelet coherence in 2-16 years band is lower than 0.5 whatever the climate index considered. Other factors must also be considered in the study of rainfall variability in this study area.
Author Keywords: climate index, wavelet analysis, coherence.
How to Cite this Article
Albert Mbata Muliwavyo, Jean Marie Tshitenge Mbuebue, Edmond Phuku Phuati, Kyandoghere Kyamakya, François Tondozi Keto, Richard Bopili Mbotia, and Ndotoni Zana, “Continuous wavelet analysis of rainfall fluctuations at interannual and decennial scales on the south-eastern part in the Democratic Republic of the Congo between 1940 and 1997,” International Journal of Innovation and Scientific Research, vol. 27, no. 2, pp. 365–377, November 2016.
