Michael S. Pritchard
Michael S. Pritchard
Associate Professor of Earth System Science, University of California Irvine
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
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
3052018
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
1872018
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
942011
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
792014
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
772012
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
702009
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
592016
Forest response to rising CO 2 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
572018
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
522015
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
502021
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
472009
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
362017
Response of the superparameterized Madden–Julian oscillation to extreme climate and basic-state variation challenges a moisture mode view
MS Pritchard, D Yang
Journal of Climate 29 (13), 4995-5008, 2016
362016
Robustness and sensitivities of central US summer convection in the super‐parameterized CAM: Multi‐model intercomparison with a new regional EOF index
GJ Kooperman, MS Pritchard, RCJ Somerville
Geophysical Research Letters 40 (12), 3287-3291, 2013
362013
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
332020
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
332019
The response of US summer rainfall to quadrupled CO2 climate change in conventional and superparameterized versions of the NCAR community atmosphere …
GJ Kooperman, MS Pritchard, RCJ Somerville
Journal of Advances in Modeling Earth Systems 6 (3), 859-882, 2014
332014
Vertical structure and diabatic processes of the Madden-Julian Oscillation: Biases and uncertainties at short range
Journal of Geophysical Research - Atmospheres 120 (10), 4749-4763, 2015
30*2015
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
292020
A Fortran-Keras deep learning bridge for scientific computing
J Ott, M Pritchard, N Best, E Linstead, M Curcic, P Baldi
Scientific Programming 2020, 2020
292020
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