Emmanuel Nyadzi is an interdisciplinary research scientist who focuses on Climate Science and Services. He has extraordinary skills in using natural and social science research techniques in addition to interpretive tools including models, remote sensing, GIS and ICT platforms to understand the impact of global change on water, agricultural, natural ecological systems and society. His interest is to go beyond theories and develop practical solutions to survive these impacts.
-Local to regional climate variability, predictability, and change
-Sub-seasonal-to-decadal extreme events
-Computational modeling, and Model Output Statistics (Evaluation)
Hydro-climatic Services for Adaptive Management of Water and Food Production in Ghana: The complementary Value of Indigenous and Scientific Forecast.
In Ghana, climate variability and its effects on the agriculture sector is clearly evident as farmers, irrigated water managers, and other stakeholders have to continuously adjust their activities to endure its impacts. Meteorological forecasting services have been in operation for some time in the country and provide mainly weather information on different variables but this according to farmers is insufficient to support their farm decision making. Also, farmers rely on indigenous ecological knowledge to predict weather/climate patterns but are the first to recognize its limitations in terms of accuracy, timing, and reliability. The objective of my project is to make weather and seasonal climate forecast actionable for individual farmers, communities and irrigated water managers engaged in rice production in northern Ghana. In this project, we seek to first evaluate and then harmonize scientific and indigenous forecast for improve forecast reliability and acceptability and largely towards the uptake of hydro-climatic services.The unique approach in this research is the use of android digital tool and the inclusion of citizen science approach in hydro-climatic data and information exchange. This will address the argument that science should not be a one-directional effort, where it produces new knowledge and information and makes it accessible for end-users but rather interactive, where science and practice co-design, co-create and co-produce knowledge by bringing in different forms of expertise.