Kamu erişimi zorunlu olan makaleler - Paul O'GormanDaha fazla bilgi edinin
Bir yerde sunuluyor: 38
More extreme precipitation in the world’s dry and wet regions
MG Donat, AL Lowry, LV Alexander, PA O’Gorman, N Maher
Nature Climate Change 6 (5), 508-513, 2016
Zorunlu olanlar: Australian Research Council
Understanding the regional pattern of projected future changes in extreme precipitation
S Pfahl, PA O’Gorman, EM Fischer
Nature Climate Change 7 (6), 423-427, 2017
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Precipitation extremes under climate change
PA O’Gorman
Current climate change reports 1, 49-59, 2015
Zorunlu olanlar: US Department of Energy, US National Aeronautics and Space Administration
Storm track processes and the opposing influences of climate change
TA Shaw, M Baldwin, EA Barnes, R Caballero, CI Garfinkel, YT Hwang, ...
Nature Geoscience 9 (9), 656-664, 2016
Zorunlu olanlar: US National Science Foundation, Research Council of Norway
Using machine learning to parameterize moist convection: Potential for modeling of climate, climate change, and extreme events
PA O'Gorman, JG Dwyer
Journal of Advances in Modeling Earth Systems 10 (10), 2548-2563, 2018
Zorunlu olanlar: US National Science Foundation
The response of precipitation minus evapotranspiration to climate warming: Why the “wet-get-wetter, dry-get-drier” scaling does not hold over land
MP Byrne, PA O’Gorman
Journal of Climate 28 (20), 8078-8092, 2015
Zorunlu olanlar: US Department of Energy, US National Aeronautics and Space Administration
Percentile indices for assessing changes in heavy precipitation events
C Schär, N Ban, EM Fischer, J Rajczak, J Schmidli, C Frei, F Giorgi, ...
Climatic Change 137, 201-216, 2016
Zorunlu olanlar: Swiss National Science Foundation, US National Oceanic and Atmospheric …
Trends in continental temperature and humidity directly linked to ocean warming
MP Byrne, PA O’Gorman
Proceedings of the National Academy of Sciences 115 (19), 4863-4868, 2018
Zorunlu olanlar: US National Science Foundation
Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions
J Yuval, PA O’Gorman
Nature communications 11 (1), 3295, 2020
Zorunlu olanlar: US National Science Foundation
Understanding decreases in land relative humidity with global warming: Conceptual model and GCM simulations
MP Byrne, PA O’gorman
Journal of Climate 29 (24), 9045-9061, 2016
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Towards advancing scientific knowledge of climate change impacts on short-duration rainfall extremes
HJ Fowler, H Ali, RP Allan, N Ban, R Barbero, P Berg, S Blenkinsop, ...
Philosophical Transactions of the Royal Society A 379 (2195), 20190542, 2021
Zorunlu olanlar: US National Science Foundation, UK Natural Environment Research Council …
Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision
J Yuval, PA O'Gorman, CN Hill
Geophysical Research Letters 48 (6), e2020GL091363, 2021
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Climate research must sharpen its view
J Marotzke, C Jakob, S Bony, PA Dirmeyer, PA O'Gorman, E Hawkins, ...
Nature climate change 7 (2), 89-91, 2017
Zorunlu olanlar: US National Aeronautics and Space Administration
Increases in moist‐convective updraught velocities with warming in radiative‐convective equilibrium
MS Singh, PA O'Gorman
Quarterly Journal of the Royal Meteorological Society 141 (692), 2828-2838, 2015
Zorunlu olanlar: US National Aeronautics and Space Administration
On the future zonal contrasts of equatorial Pacific climate: Perspectives from observations, simulations, and theories
S Lee, M L’Heureux, AT Wittenberg, R Seager, PA O’Gorman, ...
Npj Climate and Atmospheric Science 5 (1), 82, 2022
Zorunlu olanlar: US National Science Foundation, US National Oceanic and Atmospheric …
Climate-invariant machine learning
T Beucler, P Gentine, J Yuval, A Gupta, L Peng, J Lin, S Yu, S Rasp, ...
Science Advances 10 (6), eadj7250, 2024
Zorunlu olanlar: US National Science Foundation, US Department of Energy, European Commission
Changing duration and spatial extent of midlatitude precipitation extremes across different climates
JG Dwyer, PA O'Gorman
Geophysical Research Letters 44 (11), 5863-5871, 2017
Zorunlu olanlar: US National Science Foundation
Response of vertical velocities in extratropical precipitation extremes to climate change
Z Li, PA O’Gorman
Journal of Climate 33 (16), 7125-7139, 2020
Zorunlu olanlar: US National Science Foundation
Changing available energy for extratropical cyclones and associated convection in Northern Hemisphere summer
CG Gertler, PA O’Gorman
Proceedings of the National Academy of Sciences 116 (10), 4105-4110, 2019
Zorunlu olanlar: US National Science Foundation
Non‐local parameterization of atmospheric subgrid processes with neural networks
P Wang, J Yuval, PA O’Gorman
Journal of Advances in Modeling Earth Systems 14 (10), e2022MS002984, 2022
Zorunlu olanlar: US National Science Foundation
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