PO
Paul A. O'Gorman
physics.ao-phclimate changecs.LGmath.DSnlin.CDatmospheric dynamicsavailable energyClausius–ClapeyronClimate ChangeClimate models
On Valency
published · living versionsW_jhnvv4cy·v1 · currentpublished
Radiative and Dynamical Controls on the Land-Ocean Warming Contrast in Climate Models
with Paolo Giani, Arlene M. Fiore, Raffaele Ferrari, Vincent T. Cooper +1
1 version
W_w7u4cu73·v1published
W_sszumqzh·v1published
W_e6vt7a9m·v1published
Preprints & journals
26 papers in the corpus · 2009–2026Improved Precipitation Variability in the Community Atmosphere Model through Implementation of a Neural-Network Deep Convection Scheme2610.20405v2 · Xavier J. Levine, Griffin Mooers, Judith Berner et al.2026 · 0 citationsarXiv
Radiative and Dynamical Controls on the Land-Ocean Warming Contrast in Climate Models2609.03658v1 · Paolo Giani, Arlene M. Fiore, Raffaele Ferrari et al.2026 · 0 citationsarXivon Valency
Rare event sampling for moving targets: extremes of temperature and daily precipitation in a general circulation model2508.13120v2 · Justin Finkel, Paul A. O'Gorman2025 · 2 citationsJournal of Advances in Modeling Earth Systems, 18, e2025MS005456 (2026)
CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates2509.00010v1 · Shuchang Liu, Paul A. O'Gorman2025 · 2 citationsarXiv
Boosting Ensembles for Statistics of Tails at Conditionally Optimal Advance Split Times2507.22310v3 · Justin Finkel, Paul A. O'Gorman2025 · 0 citationsarXiv
Dependence of convective precipitation extremes on near-surface relative humidity2412.16306v1 · Robert J. van der Drift, Paul A. O'Gorman2024 · 9 citationsarXiv
Climate-invariant machine learning.38324696 · Beucler, Tom, Gentine, Pierre, Yuval, Janni et al.2024 · 100 citationsScience advances. 2024;10(6):eadj7250
Bringing statistics to storylines: rare event sampling for sudden, transient extreme events2402.01823v1 · Justin Finkel, Paul A. O'Gorman2024 · 15 citationsarXiv
Non-local parameterization of atmospheric subgrid processes with neural networks2201.00417v2 · Peidong Wang, Janni Yuval, Paul A. O'Gorman2022 · 41 citationsJournal of Advances in Modeling Earth Systems, 14(10), e2022MS002984
Climate-Invariant Machine Learning2112.08440v5 · Tom Beucler, Pierre Gentine, Janni Yuval et al.2021 · 23 citationsarXiv
Tropical precipitation clusters as islands on a rough water-vapor topography2108.04457v1 · Ziwei Li, Paul A. O'Gorman, Daniel H. Rothman2021 · 2 citationsarXiv
Towards advancing scientific knowledge of climate change impacts on short-duration rainfall extremes.33641464 · Fowler, Hayley J, Ali, Haider, Allan, Richard P et al.2021 · 162 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2021;379(2195):20190542
Response of extreme precipitation to uniform surface warming in quasi-global aquaplanet simulations at high resolution.33641467 · O'Gorman, P A, Li, Z, Boos, W R et al.2021 · 21 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2021;379(2195):20190543
Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision2010.09947v3 · Janni Yuval, Paul A. O'Gorman, Chris N. Hill2020 · 163 citationsGeophysical Research Letters, 48, e2020GL091363 (2021)
Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions.32620769 · Yuval, Janni, O'Gorman, Paul A2020 · 283 citationsNature communications. 2020;11(1):3295
Response of Vertical Velocities in Extratropical Precipitation Extremes to Climate Change1910.05644v2 · Ziwei Li, Paul O'Gorman2019 · 50 citationsJ. Climate (2020) 33 (16): 7125-7139
Changing available energy for extratropical cyclones and associated convection in Northern Hemisphere summer.30782796 · Gertler, Charles G, O'Gorman, Paul A2020 · 47 citationsProceedings of the National Academy of Sciences of the United States of America. 2019;116(10):4105-4110
Using machine learning to parameterize moist convection: potential for modeling of climate, climate change and extreme events1806.11037v2 · Paul A. O'Gorman, John G. Dwyer2018 · 420 citationsJournal of Advances in Modeling Earth Systems, 10, 2548-2563, 2018on Valency
Trends in continental temperature and humidity directly linked to ocean warming.29686095 · Byrne, Michael P, O'Gorman, Paul A2018 · 376 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(19):4863-4868
Climate research must sharpen its view.29599824 · Marotzke, Jochem, Jakob, Christian, Bony, Sandrine et al.2025 · 130 citationsNature climate change. 2017;7(2):89-91
Understanding decreases in land relative humidity with global warming: conceptual model and GCM simulations1605.00380v1 · Michael P. Byrne, Paul A. O'Gorman2016 · 242 citationsarXivon Valency
Precipitation Extremes Under Climate Change.26312211 · O'Gorman, Paul A2020 · 811 citationsCurrent climate change reports. 2015;1(2):49-59
Contrasting responses of mean and extreme snowfall to climate change.25164753 · O'Gorman, Paul A2014 · 252 citationsNature. 2014;512(7515):416-8
Understanding the varied response of the extratropical storm tracks to climate change.20974916 · O'Gorman, Paul A2010 · 173 citationsProceedings of the National Academy of Sciences of the United States of America. 2010;107(45):19176-80
Water vapor and the dynamics of climate changes0908.4410v2 · Tapio Schneider, Paul A. O'Gorman, Xavier Levine2009 · 545 citationsarXivon Valency
The physical basis for increases in precipitation extremes in simulations of 21st-century climate change.19706430 · O'Gorman, Paul A, Schneider, Tapio2009 · 1,156 citationsProceedings of the National Academy of Sciences of the United States of America. 2009;106(35):14773-7
Career total: at least 191 works. 26 are in this corpus.
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