Articles | Volume 384
https://doi.org/10.5194/piahs-384-289-2021
https://doi.org/10.5194/piahs-384-289-2021
Pre-conference publication
 | 
16 Nov 2021
Pre-conference publication |  | 16 Nov 2021

Seasonal flow forecasting in Africa; exploratory studies for large lakes

Kevin Sene and Wlodek Tych

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Cited articles

Beven, K.: Environmental Modelling: An Uncertain Future?, CRC Press, UK, 2009. 
Bolinger, R. A., Gronewold, A. D., Kompoltowicz, K., and Fry, L. M.: Application of the NMME in the development of a new Regional Seasonal Climate Forecast Tool, B. Am. Meteorol. Soc., 2017, 555–564, 2017. 
Elganiny, M. and Eldwer, A.: Enhancing the Forecasting of Monthly Streamflow in the Main Key Stations of the River Nile Basin, Water Resour., 45, 660–671, 2018. 
Gehad, N., Doaa, A., Shokry, A., and Tahani, Y.: Flow forecasting and skill assessment in the Blue Nile Basin, Nile Water Sci. Eng. J., 10, 29–37, 2017. 
Gronewold, A. D., Clites, A. H., Hunter, T. S., and Stow, C. A.: An appraisal of the Great Lakes advanced hydrologic prediction system, J. Great Lakes Res., 37, 577–583, 2011. 
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Short summary
In this paper, we discuss insights gained from previous studies using a novel combined water balance and data-driven approach for two of Africa’s largest lakes, Lake Victoria and Lake Malawi. Factors which increased predictability included the unusually long hydrological response times and statistically significant links to ocean-atmosphere processes such as the Indian Ocean Dipole. Other lessons learned concerned the benefits of data assimilation and the choice of performance metrics.