All Publications

Conference Proceedings Paper
Sensitivity Analysis and Uncertainty Quantification of E3SM Methane model using Machine Learning
Chinta, S., X. Gao and Q. Zhu (2023).
American Geophysical Union (AGU) Fall Meeting, B16D-02
Journal Article
Equity implications of net-zero emissions: A multi-model analysis of energy expenditures across income classes under economy-wide deep decarbonization policies
Bistline, J., . . .  and M. Yuan (2023).
Energy and Climate Change, 5, 100118 (doi: 10.1016/j.egycc.2023.100118)
Journal Article
Deploying direct air capture at scale: how close to reality?
Desport, L., A. Gurgel, J. Morris, H. Herzog, Y-H.H. Chen, S. Selosse and S. Paltsev (2023).
Energy Economics, 129, 107244 (doi: 10.1016/j.eneco.2023.107244)
Journal Article
Mitigating Emissions in the Global Steel Industry: Representing CCS and Hydrogen Technologies in Integrated Assessment Modeling
Benavides, K., A. Gurgel, J. Morris, B. Mignone, B. Chapman, H. Kheshgi, H. Herzog and S. Paltsev, (2023).
International Journal of Greenhouse Gas Control, 131, 103963 (doi: 10.1016/j.ijggc.2023.103963)
Journal Article
Phytoplankton thermal trait parameterization alters community structure and biogeochemical processes in a modeled ocean
Anderson, S.I., C. Fronda, A.D. Barton, S. Clayton, T.A. Rynearson and S. Dutkiewicz (2023).
Global Change Biology, doi: 10.1111/gcb.17093
Peer-Reviewed Research
Power sector impacts of the Inflation Reduction Act of 2022
Bistline, J.E.T., . . . , M. Yuan and A. Zhao (2023).
Environmental Research Letters, 19(1) (doi: 10.1088/1748-9326/ad0d3b)
Journal Article
Compounding uncertainties in economic and population growth 1 increase tail risks for relevant outcomes across sectors
Kanyako, F., J. Lamontagne, A. Snyder, J. Morris, G. Iyer, F. Dolan, Y. Ou and K. Cox (2023).
Earth's Future, doi: 10.1029/2023EF003930
Conference Proceedings Paper
Machine Learning Assisted Bayesian Calibration of Model Physics Parameters for Wetland Methane Emissions: A Case Study at a FLUXNET-CH4 Site
Chinta, S., X. Gao and Q. Zhu (2023).
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems, [Download]
Joint Program Report
Climate-Related Stress-Testing and Net-Zero Valuation: A Case Study for Selected Energy-Intensive Companies
Report 369
Le Guenedal, T., H. Chen, Y. Derbel, B. Duval, M. Jouanneau, M. Keip, T. Le Berthe, F. Lepetit, R. Mery and S. Paltsev (2023).
Joint Program Report Series, November, 35 p. [Download]
Journal Article
A Large Ensemble Global Dataset for Climate Impact Assessments
Gao, X., A. Sokolov and C.A. Schlosser (2023).
Scientific Data, 10(801) (doi: 10.1038/s41597-023-02708-9)
Conference Proceedings Paper
A comparative analysis of the efficiency, timing, and permanence of carbon dioxide removal (CDR) pathways (Invited)
Chiquier, S., P. Patrizio, M. Bui, N. Sunny and N. Mac Dowell (2023).
American Geophysical Union (AGU) Fall Meeting, GC54B-01
Conference Proceedings Paper
Advancing Complex Human-Earth Systems Science through Natural Language Processing, Graph Machine Learning, and Artificial Intelligence
Vernon, C.R., . . . , J. Morris, et. al (2023).
American Geophysical Union (AGU) Fall Meeting, Board 1259
Conference Proceedings Paper
Analyzing Zonal Asymmetry of Particle Transport in the Stratosphere: Is Injection Longitude Worth Considering for Stratospheric Aerosol Injection?
Sun, H., S. Bourguet, S.D. Eastham, L. Luan and D. Keith (2023).
American Geophysical Union (AGU) Fall Meeting, GC21D-05
Conference Proceedings Paper
Anthropogenic emissions of chlorine-containing very short-lived halogenated substances in China
An, M., L. Western, R. Prinn et al.  (2023).
American Geophysical Union (AGU) Fall Meeting, A24F-03
Conference Proceedings Paper
Application of Scenario Discovery Techniques to Probabilistic Ensembles in Exploration of Energy Futures
Morris, J. and K. Cox (2023).
American Geophysical Union (AGU) Fall Meeting,

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