Saubhagya S. Rathore, Daniil S. Svyatsky, Ethan T. Coon, Kyongho Son, and Scott L. Painter Acknowledgment of support from the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program, under the Earth System Model Development (ESMD) and Regional & Global Model Analysis (RGMA) program areas. DOI:https://doi.org/10.1029/2023WR035993 Abstract In agriculture-dominated watersheds where…

Melissa R. Allen-Dumas, Levi T. Sweet-Breu, Christa M. Brelsford, Linying Wang, Joshua R. New, and Brett C. Bass Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD) program area. DOI:https://doi.org/10.1038/s42949-024-00185-6 Abstract We examine the differences in meteorological output from the Weather Research and…

Stephen B Ferencz, Jim Yoon, Johanna Capone and Ryan A McManamay Acknowledgment of support from the U.S. Department of Energy, Office of Science, MultiSector Dynamics, Earth and Environmental System Modeling (MSD) program area. DOI:https://doi.org/10.1088/1748-9326/ada04c Abstract The interactions between population growth, urban morphology, and water demand have important implications for water resources and supply in…

Abigail Snyder, Noah Prime, Claudia Tebaldi, and Kalyn Dorheim Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: yes DOI:https://doi.org/10.5194/esd-15-1301-2024 Abstract Earth system models (ESMs) and general circulation models (GCMs) are heavily used to provide inputs to sectoral impact and multisector dynamic models, which include representations of energy, water,…

Kendall Mongird & Jennie Rice  Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: yes DOI: https://doi.org/10.1007/s40518-024-00238-5 Introduction Electricity system capacity expansion models generally have coarse temporal, spatial, and process representations of grid operations, investment decisions, and infrastructure siting constraints [1,2,3,4,5]. Such models have served the industry…

Lili Yao, Stephen B Ferencz, Ning Sun & Hongxiang Yan Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: yes DOI: https://doi.org/10.1088/1748-9326/ad7d23 Abstract The state of Texas in the United States is highly susceptible to drought. Its major rivers are subject to extensive water management (WM) activities in…

Ryan A McManamay, Alen Raad, Chris R Vernon, Travis Thurber, Jing Gao, Stephen Powers & Brian O’Neill Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: yes DOI: https://doi.org/10.1088/1748-9326/ad2eec Abstract Population change is a main driver behind global environmental change, including urban land expansion. In future scenario modeling, assumptions regarding how populations…