| Integrated strategy for improving functional connectivity mapping using multiecho fMRI P Kundu, ND Brenowitz, V Voon, Y Worbe, PE Vértes, SJ Inati, ZS Saad, ... Proceedings of the National Academy of Sciences 110 (40), 16187-16192, 2013 | 426 | 2013 |
| Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis J Gonzalez-Castillo, ZS Saad, DA Handwerker, SJ Inati, N Brenowitz, ... Proceedings of the National Academy of Sciences 109 (14), 5487-5492, 2012 | 379 | 2012 |
| Prognostic validation of a neural network unified physics parameterization ND Brenowitz, CS Bretherton Geophysical Research Letters 45 (12), 6289-6298, 2018 | 371 | 2018 |
| Spatially extended tests of a neural network parametrization trained by coarse‐graining ND Brenowitz, CS Bretherton Journal of Advances in Modeling Earth Systems 11 (8), 2728-2744, 2019 | 171 | 2019 |
| 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 | 129 | 2020 |
| Correcting weather and climate models by machine learning nudged historical simulations O Watt‐Meyer, ND Brenowitz, SK Clark, B Henn, A Kwa, J McGibbon, ... Geophysical Research Letters 48 (15), e2021GL092555, 2021 | 98 | 2021 |
| Correcting coarse‐grid weather and climate models by machine learning from global storm‐resolving simulations CS Bretherton, B Henn, A Kwa, ND Brenowitz, O Watt‐Meyer, J McGibbon, ... Journal of Advances in Modeling Earth Systems 14 (2), e2021MS002794, 2022 | 73 | 2022 |
| ACE: A fast, skillful learned global atmospheric model for climate prediction O Watt-Meyer, G Dresdner, J McGibbon, SK Clark, B Henn, J Duncan, ... arXiv preprint arXiv:2310.02074, 2023 | 37 | 2023 |
| Machine learning climate model dynamics: Offline versus online performance ND Brenowitz, B Henn, J McGibbon, SK Clark, A Kwa, WA Perkins, ... arXiv preprint arXiv:2011.03081, 2020 | 37 | 2020 |
| Correcting a 200 km resolution climate model in multiple climates by machine learning from 25 km resolution simulations SK Clark, ND Brenowitz, B Henn, A Kwa, J McGibbon, WA Perkins, ... Journal of Advances in Modeling Earth Systems 14 (9), e2022MS003219, 2022 | 29 | 2022 |
| ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation S Yu, W Hannah, L Peng, J Lin, MA Bhouri, R Gupta, B Lütjens, JC Will, ... Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
| Generative residual diffusion modeling for km-scale atmospheric downscaling M Mardani, ND Brenowitz, Y Cohen, J Pathak, CY Chen, CC Liu, ... CoRR, 2023 | 25 | 2023 |
| Residual Diffusion Modeling for Km-scale Atmospheric Downscaling M Mardani, N Brenowitz, Y Cohen, J Pathak, CY Chen, CC Liu, A Vahdat, ... | 22 | 2024 |
| Machine‐learned climate model corrections from a global storm‐resolving model: Performance across the annual cycle A Kwa, SK Clark, B Henn, ND Brenowitz, J McGibbon, O Watt‐Meyer, ... Journal of Advances in Modeling Earth Systems 15 (5), e2022MS003400, 2023 | 14 | 2023 |
| fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model J McGibbon, ND Brenowitz, M Cheeseman, SK Clark, JPS Dahm, ... Geoscientific Model Development 14 (7), 4401-4409, 2021 | 14 | 2021 |
| ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators S Yu, WM Hannah, L Peng, MA Bhouri, R Gupta, J Lin, B Lütjens, JC Will, ... NeurIPS, 2023 | 13 | 2023 |
| Advancing parsimonious deep learning weather prediction using the HEALPix mesh M Karlbauer, N Cresswell‐Clay, DR Durran, RA Moreno, T Kurth, B Bonev, ... Journal of Advances in Modeling Earth Systems 16 (8), e2023MS004021, 2024 | 12 | 2024 |
| The multiscale impacts of organized convection in global 2‐D cloud‐resolving models ND Brenowitz, AJ Majda, Q Yang Journal of Advances in Modeling Earth Systems 10 (8), 2009-2025, 2018 | 10 | 2018 |
| Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model C Wang, MS Pritchard, N Brenowitz, Y Cohen, B Bonev, T Kurth, D Durran, ... arXiv preprint arXiv:2406.08632, 2024 | 8 | 2024 |
| Neural network parameterization of subgrid‐scale physics from a realistic geography global storm‐resolving simulation O Watt‐Meyer, ND Brenowitz, SK Clark, B Henn, A Kwa, J McGibbon, ... Journal of Advances in Modeling Earth Systems 16 (2), e2023MS003668, 2024 | 8 | 2024 |
Christopher S. BrethertonProfessor, University of WashingtonEmail verificata su atmos.washington.edu