Journal article

Identifying Key Controls on Storm Formation over the Lake Victoria Basin

Beth J Woodhams, Cathryn E Birch, John H Marsham, Todd P Lane, Caroline L Bain, Stuart Webster

MONTHLY WEATHER REVIEW | AMER METEOROLOGICAL SOC | Published : 2019

Abstract

The Lake Victoria region in East Africa is a hot spot for intense convective storms that are responsible for the deaths of thousands of fishermen each year. The processes responsible for the initiation, development, and propagation of the storms are poorly understood and forecast skill is limited. Key processes for the life cycle of two storms are investigated using Met Office Unified Model convection-permitting simulations with 1.5 km horizontal grid spacing. The two cases are analyzed alongside a simulation of a period with no storms to assess the roles of the lake–land breeze, downslope mountain winds, prevailing large-scale winds, and moisture availability. While seasonal changes in larg..

View full abstract

University of Melbourne Researchers

Grants

Awarded by NERC SPHERES DTP


Awarded by HyCRISTAL project


Awarded by Australian Research Council's Centres of Excellence Scheme


Awarded by U.K. Research and Innovation as part of the Global Challenges Research Fund


Funding Acknowledgements

This work was supported by the NERC SPHERES DTP (Grant NE/L002574/1). Woodhams was the grateful recipient of the Australian Bicentennial Award from the Menzies Centre at King's College London and the Rupert Ford Award from the Royal Meteorological Society to fund travel to the University of Melbourne. Marsham was also funded by the HyCRISTAL project (Grant NE/M02038X/1) and the NCAS ACREW project. Lane is supported by the Australian Research Council's Centres of Excellence Scheme (CE170100023). This work was also supported by U.K. Research and Innovation as part of the Global Challenges Research Fund, Grant NE/P021077/1 (GCRF African SWIFT). This project used the MetPy package developed by UCAR/Unidata (Unidata 2018). The GPM IMERG data were provided by the NASA Goddard Space Flight Center's Precipitation Measurement Missions Science Team and Precipitation Processing System, which develop and compute the GPM IMERG as a contribution to GPM, including data archiving at the NASA GES DISC. Brightness temperature data were provided by EUMETSAT and distributed by the SATMOS service (Meteo-France/Center de Meteorologie Spatiale). We thank the ICARE Data and Services Center for providing access to this data. The authors thank Alexander Roberts for regridding the brightness temperature data and Martin Jucker for code to compute model level heights. The authors would also like to thank the anonymous reviewers for improving the quality and clarity of the paper.