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Michael S. Pritchard
Michael S. Pritchard
Associate Professor of Earth System Science, University of California Irvine
Geverifieerd e-mailadres voor uci.edu - Homepage
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Deep learning to represent subgrid processes in climate models
S Rasp, MS Pritchard, P Gentine
Proceedings of the national academy of sciences 115 (39), 9684-9689, 2018
8082018
Could machine learning break the convection parameterization deadlock?
P Gentine, M Pritchard, S Rasp, G Reinaudi, G Yacalis
Geophysical Research Letters 45 (11), 5742-5751, 2018
4482018
Enforcing analytic constraints in neural networks emulating physical systems
T Beucler, M Pritchard, S Rasp, J Ott, P Baldi, P Gentine
Physical Review Letters 126 (9), 098302, 2021
2922021
The ongoing need for high-resolution regional climate models: Process understanding and stakeholder information
WJ Gutowski, PA Ullrich, A Hall, LR Leung, TA O’Brien, CM Patricola, ...
Bulletin of the American Meteorological Society 101 (5), E664-E683, 2020
1542020
Zonally contrasting shifts of the tropical rain belt in response to climate change
A Mamalakis, JT Randerson, JY Yu, MS Pritchard, G Magnusdottir, ...
Nature climate change 11 (2), 143-151, 2021
1392021
A fortran‐keras deep learning bridge for scientific computing
J Ott, M Pritchard, N Best, E Linstead, M Curcic, P Baldi
Scientific Programming 2020 (1), 8888811, 2020
1262020
Orogenic propagating precipitation systems over the United States in a global climate model with embedded explicit convection
MS Pritchard, MW Moncrieff, RCJ Somerville
Journal of the Atmospheric Sciences 68 (8), 1821-1840, 2011
1182011
Interpreting and stabilizing machine-learning parametrizations of convection
ND Brenowitz, T Beucler, M Pritchard, CS Bretherton
Journal of the Atmospheric Sciences 77 (12), 4357-4375, 2020
1162020
Forest response to rising CO2 drives zonally asymmetric rainfall change over tropical land
GJ Kooperman, Y Chen, FM Hoffman, CD Koven, K Lindsay, MS Pritchard, ...
Nature Climate Change 8 (5), 434-440, 2018
1112018
Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5
GJ Kooperman, MS Pritchard, SJ Ghan, M Wang, RCJ Somerville, ...
Journal of Geophysical Research: Atmospheres 117 (D23), 2012
1042012
Causal evidence that rotational moisture advection is critical to the superparameterized Madden–Julian oscillation
MS Pritchard, CS Bretherton
Journal of the Atmospheric Sciences 71 (2), 800-815, 2014
922014
Achieving conservation of energy in neural network emulators for climate modeling
T Beucler, S Rasp, M Pritchard, P Gentine
arXiv preprint arXiv:1906.06622, 2019
832019
Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model
G Kooperman, MS Pritchard, M Burt, MD Branson, DA Randall
Journal of Advances in Modeling Earth Systems 8, 2016
812016
Assessing the diurnal cycle of precipitation in a multi‐scale climate model
MS Pritchard, RCJ Somerville
Journal of Advances in Modeling Earth Systems 1 (4), 2009
782009
Why Does Amazon Precipitation Decrease When Tropical Forests Respond to Increasing CO2?
B Langenbrunner, MS Pritchard, GJ Kooperman, JT Randerson
Earth's future 7 (4), 450-468, 2019
622019
Vertical structure and physical processes of the Madden‐Julian oscillation: Linking hindcast fidelity to simulated diabatic heating and moistening
NP Klingaman, SJ Woolnough, X Jiang, D Waliser, PK Xavier, J Petch, ...
Journal of Geophysical Research: Atmospheres 120 (10), 4690-4717, 2015
582015
Toward low‐cloud‐permitting cloud superparameterization with explicit boundary layer turbulence
H Parishani, MS Pritchard, CS Bretherton, MC Wyant, M Khairoutdinov
Journal of Advances in Modeling Earth Systems 9 (3), 1542-1571, 2017
562017
Empirical orthogonal function analysis of the diurnal cycle of precipitation in a multi‐scale climate model
MS Pritchard, RCJ Somerville
Geophysical Research Letters 36 (5), 2009
522009
The effect of plant physiological responses to rising CO2 on global streamflow
MD Fowler, GJ Kooperman, JT Randerson, MS Pritchard
Nature Climate Change 9 (11), 873-879, 2019
512019
Assessing the potential of deep learning for emulating cloud superparameterization in climate models with real‐geography boundary conditions
G Mooers, M Pritchard, T Beucler, J Ott, G Yacalis, P Baldi, P Gentine
Journal of Advances in Modeling Earth Systems 13 (5), e2020MS002385, 2021
492021
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Artikelen 1–20