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Project abstract for group snyderpk
Understanding Climate Change: A Data Driven Approach
Climate change is the defining environmental challenge facing our planet, yet there is considerable uncertainty and environmental impact due to the limited capabilities of existing physics-based models of the earth system. Important questions relating to food security, water resources, biodiversity, and other socio-economic issues and spatial scales remain unresolved. A new and transformative approach is required to understand the potential change. The focus of this work is an examination of how climate change will affect extreme-precipitation and severe weather events over the central United States in the coming century. In order to determine the impact extreme events, the researchers use the Weather Research and Forecasting (WRF) model forced by future climate Fifth Assessment Report (AR5). The WRF model is ideal for examining future changes in extreme precipitation simulations with extremely high spatial and temporal resolution can effectively resolve the physical processes precipitation processes during high precipitation events. Furthermore, the WRF model is highly tuned to operate in the US, where severe weather and extremes in precipitation are a common occurrence. By using the WRF, the researchers can identify regions where severe weather and extreme precipitation events are expected to become more common.
A bibliography of this group’s publications acknowledging MSI is attached.