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Research Highlights

The entire collection of Earth and Environmental System Modeling Research Highlights can be accessed using the search below. You may also search the BER Research Highlights database by selecting Earth and Environmental System Modeling and/or Multisector Dynamics then selecting List.

Project: Sectoral Interactions, Compounding Influences and Stressors, and Compound Systems: Understanding Tipping Points and Non-Linear Dynamics
Title Contact Institution Date
Pathways to More Resilient Power Systems MSD Angelo Gurgel Massachusetts Institute of Technology (MIT)
In-Depth Scenario Analysis Identifies Key Drivers Shaping Solar and Wind Energy Transitions Up to 2050 MSD Marshall Wise Pacific Northwest National Laboratory
Assessing Compounding Risks MSD C. Adam Schlosser Massachusetts Institute of Technology (MIT)
Quantifying Socio-Economic Uncertainty MSD Jennifer Morris Massachusetts Institute of Technology (MIT)
Agricultural and Forest Land-Use Change in the Continental United States: Are There Tipping Points? MSD Angelo Gurgel Massachusetts Institute of Technology
A More Realistic Way to Simulate Large-Scale Adoption of New Energy Technologies MSD Jennifer Morris Massachusetts Institute of Technology (MIT)
Efficient Earth System Model for Analysis of Energy, Water, and Land Resources and Dynamics MSD Andrei Sokolov Massachusetts Institute of Technology (MIT)
Assessing the Expansion Potential of Irrigated Land MSD Kirby Ledvina Massachusetts Institute of Technology (MIT)
Maximizing Ozone Signals Among Chemical, Meteorological, and Climatological Variability Across Space and Time MSD Noelle Selin Massachusetts Institute of Technology (MIT)
Efficient Assessment of Environmental Impacts on Crop Yields at the Regional Level MSD Elodie Blanc Massachusetts Institute of Technology (MIT)
Modeling Water Availability for Irrigation in the U.S. MSD Elodie Blanc Massachusetts Institute of Technology (MIT)
A Simpler, Faster Way to Assess Environmental Impacts on Crop Yields MSD Elodie Blanc Massachusetts Institute of Technology (MIT)
New Technique Improves Understanding of Changes in the Frequency of Heavy Precipitation MSD Xiang Gao Massachusetts Institute of Technology (MIT)

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