Elizabeth completed her undergraduate in Civil Engineering at California State University, Chico. As an undergraduate, Elizabeth’s research consisted of designing wastewater management plans for developing regions in Latin America. Currently, Elizabeth is a Master’s student in Water Resources Engineering at Oregon State University under advisement from John Selker. Her thesis is looking at recession flows for small watersheds in the Western and High Cascade mountain ranges in Oregon. Elizabeth is serving as the USA School 2 School coordinator for TAHMO. She helped lead a teacher’s training in Kenya, and it working on developing supplemental materials for teachers to utilize their weather data in classroom lesson plans and homework assignments.
Accurate weather information (forecast) is crucial to make decision in key economic sectors of the West Africa, such as fishing, disaster management (e.g. weather-related mudslides and floods), agriculture, energy provision, water resources, construction, public health, etc.. However, the lack of accurate observations (poor data) in West Africa is a big challenge for the accuracy of the weather forecasting models in both global and regional models. To address this issue, an operational Numerical Weather Prediction (NWP) model (Weather Research and Forecast (WRF) model) for the region of choice is being to be improved. The WRF model (see http://www.wrf-model.org/index.php) alongside the high-resolution (one station in every 30 km), high precision and timely meteorological observations prepared by the network of the Trans-African Hydro-Meteorological Observatory (TAHMO, see www.tahmo.org) stations improves the accuracy and reliability of the forecasts. Using the more accurate initial conditions or current weather (atmosphere) condition, improve the capabilities of WRF model to predict the future weather. TAHMO increases the quantity as well as the quality of the surface (ground-based) observations where they can be used to improve the accuracy of the initial conditions in the WRF model.
The output from WRF model will convert into information by using the weather information dissemination system (techniques) to provide user-specific weather information for different clients and stakeholders on various time scales. In addition, improving the predictability of the weather in this region by using WRF model will strengthen the research capacity in atmosphere studies, weather prediction and the climate change adaptations in this region.