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McCollum, J., Nelkin, E., Klotter, D., Berte, Y., Diallo, B. M., Gaye, I., Kpabeba ,G., Ndiaye, O., Noukpozounkou, M. M., Thiam, A., Toure, A. A., Traore, A. K., Nicholson, S. E., & Some, B. (2003). Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part I. Validation of GPCC Rainfall Product and Pre-TRMM Satellite and Blended Products. Journal of Applied Meteorology, 40, 1355-1368.
https://doi.org/10.1175/1520-0450(2003)042<1355:VOTAOR>2.0.CO;2

has been cited by the following article:

• TITLE: On the Study of the Spatio-Temporal Variations in Intensity of 30 - 60-Day Intraseasonal Rainfall Oscillations in Central Africa Using Wavelet-Based Indices

  AUTHORS: Alain Tchakoutio Sandjon, Armand Nzeukou

  KEYWORDS: Rainfall, Intraseasonal Oscillations, Intensity, Wavelet Analysis

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.8 No.2, January 22, 2020

  ABSTRACT: The intraseasonal timescale is attractive in Central Africa (CA) where socio-economic activities are highly based on rainfall. The parameterization of intraseasonal oscillations (ISO) then remains a great challenge for the improvement of sub-seasonal to seasonal (S2S) prediction in this region. In this paper, we applied wavelet analysis on the 2.5° × 2.5° daily Outgoing Longwave Radiation (OLR, used here as rainfall proxy) to study the variations in the intensity of the 30 - 60-day intraseasonal rainfall oscillations over Central Africa within the last three decades (1980-2009). Results showed that the mean ISO intensity (ISOI) strongly fluctuates from day to another. The plots of monthly mean ISOIs revealed that the ISO activity is highly seasonal with above-normal ISO intensity during December-May and below-normal activity during June-November. The analysis of yearly mean ISOI showed that the ISOI exhibits strong interannual variations with the years of very low ISOIs such as 1982, 1994, 2001, 2007, 2009, 2015 and the years of very high ISOIs such as 1981, 1985, 1986, 989/1990, 1997, 2003, 2005. The regression analysis between ISOI and El Niño Southern Oscillation (ENSO) indices showed that even though the relationship between ISO and ENSO is nonlinear, warm ENSO (El Niño) events tend to reduce the ISOIs while cold ENSO (La Niña) events tend to increase it.