Dong Kook Woo, William J. Riley, Robert F. Grant, Yuxin Wu DOI: https://doi.org/10.1016/j.agrformet.2022.109230 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, Regional and Global Modeling Analysis Program Abstract Rapid climate change and growing population threaten global food security across the globe. Several studies have…
Evaluating the benefits of national adaptation to reduce climate risks and contribute to the Sustainable Development Goals
Lena I. Fuldauer, Daniel Adshead, Scott Thacker, Sarah Gall, Jim W. Hall DOI: https://doi.org/10.1016/j.gloenvcha.2022.102575 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: No, other Non-DOE EESM source of support Abstract Scaling up national climate adaptation under the Paris Agreement is critical not only to reduce…
rmap: An R package to plot and compare tabular data on customizable maps across scenarios and time
Zarrar Khan, Mengqi Zhao, Chris R. Vernon, Thomas Wild, and Brinda Yarlagadda DOI: https://doi.org/10.21105/joss.04015 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, MultiSector Dynamics Program Abstract rmap is an R package that allows users to easily plot tabular data (CSV or R data…
Anthropogenic heating of the urban environment: An investigation of feedback dynamics between urban micro-climate and decomposed anthropogenic heating from buildings
Pouya Vahmani, Xuan Luo, Andrew Jones, Tianzhen Hong DOI:https://doi.org/10.1016/j.buildenv.2022.108841 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: No, other Non-DOE EESM source of support Abstract Cities consume 2/3 of global energy and consequently release a large amount of anthropogenic heat into urban environments, which are…
Revised monthly energy generation estimates for 1,500 hydroelectric power plants in the United States
Sean Turner, Nathalie Voisin & Kristian Nelson DOI: https://doi.org/10.1038/s41597-022-01748-x Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, Multisector Dynamics Program Abstract The U.S. Energy Information Administration (EIA) conducts a regular survey (form EIA-923) to collect annual and monthly net generation for more than ten…
Rapid vertical exchange at fronts in the Northern Gulf of Mexico
Lixin Qu, Leif N. Thomas, Aaron F. Wienkers, Robert D. Hetland, Daijiro Kobashi, John R. Taylor, Fucent Hsuan Wei Hsu, Jennifer A. MacKinnon, R. Kipp Shearman & Jonathan D. Nash DOI: https://doi.org/10.1038/s41467-022-33251-7 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Program Acknowledged Support: Yes, Multisector Dynamics, Regional and…
Projecting Future Energy Production from Operating Wind Farms in North America. Part I: Dynamical Downscaling
S. C. Pryor, J. J. Coburn, R. J. Barthelmie, and T. J. Shepherd DOI: https://doi.org/10.1175/JAMC-D-22-0044.1 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Progam Acknowledged Support: Yes, Multisector Dynamics, and Regional and Global Modeling Analysis Programs Abstract New simulations at 12-km grid spacing with the Weather and Research…
Anthropogenic contributions to the 2021 Pacific Northwest heatwave
Emily Bercos-Hickey, Travis A. O’Brien, Michael F. Wehner, Likun Zhang, Christina M. Patricola, Huanping Huang, Mark D. Risser DOI: https://doi.org/10.1029/2022GL099396 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Progam Acknowledged Support: Yes, Regional and Global Modeling Analysis Program Abstract Daily maximum temperatures during the 2021 heatwave in the Pacific Northwest United States and Canada…
Asymmetric emergence of low-to-no snow in the midlatitudes of the American Cordillera
Alan M. Rhoades, Benjamin J. Hatchett, Mark D. Risser, William D. Collins, Nicolas E. Bambach, Laurie S. Huning, Rachel McCrary, Erica R. Siirila-Woodburn, Paul A. Ullrich, Michael F. Wehner, Colin M. Zarzycki & Andrew D. Jones DOI: https://doi.org/10.1038/s41558-022-01518-y Department of Energy, Office of Science, Earth & Environmental Systems Modeling Progam…
tell: a Python package to model future total electricity loads in the United States
Casey R. McGrath, Casey D. Burleyson, Zarrar Khan, Aowabin Rahman, Travis Thurber, Chris R. Vernon, Nathalie Voisin, andJennie S. Rice DOI: https://doi.org/10.21105/joss.04472 Department of Energy, Office of Science, Earth & Environmental Systems Modeling Progam Acknowledged Support: Yes, Multisector Dynamics Program Abstract The purpose of the Total ELectricity Load (tell) model is…