Construct cross-scale data compilation from long-term regional and national weather observations and high-resolution historical and future climate simulations.
The researchers assigned to this task are Dr. Hu, Dr. Junod, Dr. Dubois, and Dr. Spangler.
This task will create an open-source geodatabase to integrate long-term regional and national weather observations with high-resolution historical and future climate simulations. Observations will be collected with collaboration from state climatologists and use citizen science programs to include rural and urban communities.
Identify historical and future shifting of climate at multiple scales in shaping the energy sector
Researchers assigned are Dr. Hu, Dr. Dubois, Dr. Christy, Dr. Ashokkumar, and Dr. Shi.
This task focuses on identifying how historical and future climate changes at various scales affect energy systems by synthesizing long-term climate observations and simulations from 1980 to 2060. Results will be integrated into task 1.1 to provide more comprehensive testing of climate hypotheses.
Assess the roles of land-atmosphere interactions in diversifying climate change-induced risks in energy systems
Researchers assigned are Dr. Ashokkumar, Dr. Dubois, Dr. Hu, Dr. Zhang, and Dr. Spangler.
This task examines the impact of land-atmosphere interactions on climate change-induced risks to energy systems. The task focuses on how extreme weather events, intensified by climate change, and influenced by human activities like urbanization and agriculture
Predict climate-driven change in renewable energy production.
Researchers assigned are Dr. Hu, Dr. Dubois, Dr. Junod, Dr. Zhang, Dr. Wang, and Dr. Cui.
This task will develop methods to predict the impact of climate change on renewable energy production. Utilizing the comprehensive climate database developed in Tasks 1.1-1.2 to analyze historical weather patterns and project future VRE outputs considering changing climate trends.