Uncertainty Characterization, Metric Development, and Exploratory Modeling to Enhance GCIMS Scenario Discovery Capabilities. Source: DOE: Pacific Northwest National Lab. Sub-award PI: J.R. Lamontagne. GCIMS lead PI: K. Calvin. 2020-2024.
Massachusetts Climate and Hydrologic Risk Project. Source: Massachusetts EEOA. PI: J.R. Lamontagne. co-PIs: S. Steinschneider (Cornell). 2020-2022.
INFEWS/T1: Decision-Driven Advances in Integrated Assessment Modeling of the Food-Energy-Water Nexus. Source: NSF. PI: T.B. Wild (UMD). Co-PIs: J.R. Lamontagne, M. Hejazi (UMD), L. Clarke (UMD), F. Miralles-Wilhelm (UMD), D. White (ASU). 2019-2024.
NRT-HDR Data Driven Decision Making to Address Complex Resource Problems. Source: NSF. PI: S. Islam, co-PIs: J.R. Lamontagne, D. Hammer (Tufts), R. Chang (Tufts), A. Patra (Tufts). 2019-2024.
Analysis of Ice Jam Flood Frequency in the Peace-Athabasca Delta. Source: British Columbia Hydro. PI: J.R. Lamontagne. 2018-2025.
Exploration and Quantification of Uncertainty in Integrated Energy-Water-Land Systems. Source: DOE: Pacific Northwest National Laboratory. PI: J.R. Lamontagne. 2018-2022.
Can machine learning improve the representation of humans in the hydrologic cycle? Source: Tufts Collaborates. PI: J.R. Lamontagne. Co-PI: L. Liu (Tufts). 2018-2019.
Columbia River Basin Duration-Flow Skew Study. Source: USGS. PI: J.R. Lamontagne. 2018.
