EOL Seminar: Towards Improved Short-Term Forecasting for Lake Victoria Basin: Exploring HIGHWAY field campaign data

Tuesday, October 11, 2022 - 15:30 to 16:30
Hybrid: NCAR Foothills Laboratory, Boulder, CO FL1-1022 Large Auditorium / (Webcast link provided below)
Contact Name: 
Sarah Woods
Contact Email: 

"Towards Improved Short-Term Forecasting for Lake Victoria Basin: Exploring HIGHWAY field campaign data"

SPEAKER: Dr. Anna del Moral Mendez - ASP Postdoctoral Fellow, NCAR/EOL

DATE: October 11, 2022

Time: 3:30 - 4:30 pm MST

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QUESTIONS: Slido will be used to answer your questions during the seminar.



East African countries benefit from the largest freshwater lake in Africa: Lake Victoria (LV). Around 30 million people live on its coastline and 5.4 million people subsist on its fishing industry. However, more than 1,000 fishermen die yearly due to high waves partially produced by severe convective wind phenomena, which makes this lake one of the deadliest spots in the world.

The World Meteorological Organization launched the 3-year “HIGH impact Weather lAke sYstem” (HIGHWAY) project, with the main objective to reduce the loss of lives and goods in the lake basin and to improve resilience for the local communities. The project included a field campaign in 2019 to provide forecasters with high-resolution observations and to study the storm life cycle over the lake basin.

The research here uses the field campaign data to investigate the main convective modes over the
lake, their organization, their pre-convective environment, and the polarimetric capabilities of the radars for LV. Open-source NCAR-based software is used, linking the ongoing research with operational forecasts released by the LV countries. The preliminary results will provide a valuable source of information for forecasters in the region, contributing towards retrieving better nowcasting and early warning systems for fishermen and local communities along the lake, in a challenging societal and cultural region of the world.


Anna del Moral Méndez is an ASP Postdoctoral fellow at EOL and RAL. She received her Ph.D. from the University of Barcelona (Spain) where she worked towards improving the nowcasting of severe weather in Catalonia. Her research focuses on improving the knowledge of severe storms through observations and retrieving better nowcasting products for the operational community to help in decision-making processes and early warning systems.

For more information or questions, reach out to Sarah Woods.