Abstract
Implementation of appropriate climate change adaptation strategies is contingent on a good understanding of climate variability. Efforts to adapt to climate change impacts in East African societies have flourished. However, an area of research which has been neglected and could enhance adaptive capacity is bimonthly global-scale climate analysis in relationship to the long rains, during the climatologically prominent phase of El Niño Southern Oscillation (ENSO). Empirical analyses were carried out using nearly 60 years of standardized gridded rainfall, horizontal wind and sea surface temperature (SST) data, to gain predictive understanding of the region’s climate. This study has delineated SST and divergent circulation features related to three of the four rainfall modes. The modes responded differently to the Pacific ENSO, Atlantic and Indian Oceans. However, there was no clear relationship between the second mode and the global SST distributions. Having substantiated this with monthly and seasonal-scale SST analyses, it suggested that this atypical pattern warranted numerical modeling studies or should be verified using other high resolution datasets. The SST predictor features identified may be used to enhance operational seasonal climate prediction scheme. In this way, end users would be better prepared to select appropriate climate change adaption options.
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References
Akponikpè, P. B., Ge´rard, I. B., Michels, K., & Bielders. C. L. (2010) Use of the APSIM model in long term simulation to support decision making regarding nitrogen management for pearl millet in the Sahel. In Journal of European Agronomy, 32, 144–154.
Barnston, A. G., & Ropelewski, C. F. (1992). Prediction of ENSO episodes using canonical correlation analysis. In Journal of Climate, 17, 1316–1345.
Bowden, J. H., & Semazzi, F. H. M. (2007). Empirical analysis of intraseasonal climate variability over the greater Horn of Africa. In Journal of Climate, 20, 5715–5731.
Ford, J. D., Berrang-Ford, L., Bunce, A., McKay, C., Irwin, M., & Pearce, T. (2015). The status of climate change adaptation in Africa and Asia. In Regional Environmental Change, 15, 801–814. doi:10.1007/s10113-014-0648-2
Funk, C. (2012). Exceptional warming in the Western Pacific-Indian Ocean Warm Pool has contributed to more frequent droughts in Eastern Africa. In Bulletin of American Meteorological Society, 7, 1049–1051.
Hannachi, A., Jolliffe, I. T., & Stephenson, D. B. (2007). Empirical orthogonal functions and related techniques in atmospheric science: A review. In International Journal Climatology, 27, 1119–1152. doi:10.1002/joc.1499
Harris, I., Jones, P. D., Osborna, T. J., & Lister, D. H. (2014). Updated high-resolution grids of monthly climatic observations—The CRU TS3.10 Dataset. In International Journal of Climatology, 34, 623–642. doi:10.1002/joc.3711
Indeje, M., Semazzi, F. H. M., & Ogallo, L. J. (2000). ENSO signals in East African rainfall seasons. In International Journal of Climatology, 20, 19–46.
Johnson, R. A., & Wichern, D. W. (2007). Applied multivariate statistical analysis (6th ed.). New Jersey, USA: Pearson Education, INC.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., et al. (1996). The NCEP/NCAR 40-year reanalysis project. In Bulletin of American Meteorological Society, 77, 437–471.
Krishnamurti, T. N. (1971). Tropical east-west circulations during the northern summer. In Journal of Atmospheric Sciences, 28, 1342–1347.
Latif, M., Dommenget, D., Dima, M., & Grotzner, A. (1999). The role of Indian Ocean sea surface temperature in forcing East African rainfall anomalies during December–January 1997/98. In Journal of Climate, 12, 3497–3504.
Marchant, R., Mumbi, C., Behera, S., & Yamagata, T. (2006). The Indian Ocean dipole—the unsung driver of climatic variability in East Africa. In African Journal of Ecology, 45, 4–16.
Nicholson, S. E., & Entekhabi, D. (1986). The quasi-periodic behaviour of rainfall variability in Africa and its relationship to the Southern Oscillation. In Archiv für Meteorologie, Geophysik und Bioklimatologie, 34, 311–348.
North, G. R., Bell, T. L., Cahalan, R. F., & Moeng, F. J. (1982). Sampling errors in the estimation of empirical orthogonal functions. In Monthly Weather Review, 110, 699–706.
Ogallo, L. J. (1988). Relationships between seasonal rainfall in East Africa and the Southern Oscillation. In International Journal of Climatology, 8, 31–43.
Ogallo, L. J. (1989). The spatial and temporal patterns of the East African seasonal rainfall derived from principal component analysis. In International Journal Climatology, 9, 145–167.
Ropelewski, C. F., & Halpert, M. S. (1987). Global and regional scale precipitation patterns associated with the El Niño Southern Oscillation. In Monthly Weather Review, 115, 1606–1626.
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999). A dipole mode in the tropical Indian Ocean. In Nature, 401, 360–363.
Schreck, C. J., & Semazzi, F. H. M. (2004). Variability of the recent climate of eastern Africa. In International Journal of Climatology, 24, 681–701.
Smith, T. M., & Reynolds, R. W. (2004). Improved extended reconstruction of SST (1854–1997). In Journal of Climate, 17, 2466–2477.
Smith, K. A., & Semazzi, F. H. M. (2014). The role of the dominant modes of precipitation variability over Eastern Africa in modulating the hydrology of lake victoria. In Advances in Meteorology, 11. Article ID 516762, http://dx.doi.org/10.1155/2014/516762
Tetteh, I. K. (2012). West African seasonal climate variability and predictability, PhD thesis, North Carolina State University.
Trenberth, K. E., Stepaniak, D. P., & Carbon, J. M. (2000). The global monsoon as seen through the divergent atmospheric circulation. In Journal of Climate, 13, 3969–3993.
Washington, R., Harrison, M., Conway, D., Black, E., Challinor, A., Grimes, D., et al. (2006). African climate change—Taking the shorter route. In Bulletin of American Meteorological Society, 1355–1366.
Wilks, D. S. (2006). Statistical methods in the atmospheric sciences (3rd ed.). New York, USA: Academic Press.
Acknowledgements
The authors wish to acknowledge the following data sources: NCEP/NCAR reanalysis, CRU gridded precipitation data, and NOAA ERSST.
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Tetteh, I.K., Appiah-Badu, N.K.A., Semazzi, F.H.M., Olayide, O.E. (2017). Deriving Useful Information from Bimonthly Global-Scale Climate Analysis for Climate Change Adaptation Over East Africa. In: Leal Filho, W., Belay, S., Kalangu, J., Menas, W., Munishi, P., Musiyiwa, K. (eds) Climate Change Adaptation in Africa. Climate Change Management. Springer, Cham. https://doi.org/10.1007/978-3-319-49520-0_8
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