Noah Brenowitz

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All published works

Action	Title	Year	Authors
+ PDF Chat	Stochastic Flow Matching for Resolving Small-Scale Physics	2024	Stathi Fotiadis Noah Brenowitz Tomas Geffner Yair Cohen Michael S. Pritchard Arash Vahdat Morteza Mardani
+ PDF Chat	Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling	2024	Jaideep Pathak Yair Cohen Piyush Garg Peter Harrington Noah Brenowitz Dale R. Durran Morteza Mardani Arash Vahdat Shaoming Xu Karthik Kashinath
+ PDF Chat	Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators	2024	Ankur Mahesh William D. Collins Boris Bonev Noah Brenowitz Yair Cohen Joe D. Elms Peter Harrington Karthik Kashinath Thorsten Kurth Joshua S. North
+ PDF Chat	Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators	2024	Ankur Mahesh William D. Collins Boris Bonev Noah Brenowitz Yair Cohen Peter Harrington Karthik Kashinath Thorsten Kurth Joshua S. North T. A. O'Brien
+	Advancing Parsimonious Deep Learning Weather Prediction Using the HEALPix Mesh	2024	Matthias Karlbauer Nathaniel Cresswell‐Clay Dale R. Durran Raul A. Moreno Thorsten Kurth Boris Bonev Noah Brenowitz Martin V. Butz
+ PDF Chat	Stable Machine-Learning Parameterization of Subgrid Processes with Real Geography and Full-physics Emulation	2024	Zeyuan Hu Akshay Subramaniam Zhiming Kuang Jerry Lin Sungduk Yu Walter M. Hannah Noah Brenowitz Josh Romero Michael S. Pritchard
+ PDF Chat	Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales	2024	Peter Manshausen Yair Cohen Jaideep Pathak Mike Pritchard Piyush Garg Morteza Mardani Karthik Kashinath Simon Byrne Noah Brenowitz
+ PDF Chat	Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model	2024	Chenggong Wang Michael S. Pritchard Noah Brenowitz Yair Cohen Boris Bonev Thorsten Kurth Dale R. Durran Jaideep Pathak
+ PDF Chat	DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations	2024	Jason Stock Jaideep Pathak Yair Cohen Mike Pritchard Piyush Garg Dale R. Durran Morteza Mardani Noah Brenowitz
+ PDF Chat	A Practical Probabilistic Benchmark for AI Weather Models	2024	Noah Brenowitz Yair Cohen Jaideep Pathak Ankur Mahesh Boris Bonev Thorsten Kurth Dale R. Durran Peter Harrington Michael S. Pritchard
+ PDF Chat	Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh	2023	Matthias Karlbauer Nathaniel Cresswell‐Clay Dale R. Durran Raul A. Moreno Thorsten Kurth Boris Bonev Noah Brenowitz Martin V. Butz
+	ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation	2023	Sungduk Yu Walter M. Hannah Liran Peng Mohamed Aziz Bhouri Ritwik Gupta Y. S. Lin Björn Lütjens Justus C. Will Tom Beucler Bryce E. Harrop
+	Residual Diffusion Modeling for Km-scale Atmospheric Downscaling	2023	Morteza Mardani Noah Brenowitz Yair Cohen Jaideep Pathak Chieh‐Yu Chen Cheng-Chin Liu Arash Vahdat Karthik Kashinath Jan Kautz Mike Pritchard
+	ACE: A fast, skillful learned global atmospheric model for climate prediction	2023	Oliver Watt‐Meyer Gideon Dresdner Jeremy McGibbon Spencer K. Clark Brian Henn John S. Duncan Noah Brenowitz Karthik Kashinath Michael S. Pritchard Boris Bonev
+	Emulating Fast Processes in Climate Models	2022	Noah Brenowitz W. A. Perkins Jacqueline M. Nugent Oliver Watt‐Meyer Spencer K. Clark Anna Kwa Brian Henn Jeremy McGibbon Christopher S. Bretherton
+	Machine-learned climate model corrections from a global storm-resolving model	2022	Anna Kwa Spencer K. Clark Brian Henn Noah Brenowitz Jeremy McGibbon W. A. Perkins Oliver Watt‐Meyer Lucas Harris Christopher S. Bretherton
+	Improving the predictions of ML-corrected climate models with novelty detection	2022	Clayton Sanford Anna Kwa Oliver Watt‐Meyer Spencer K. Clark Noah Brenowitz Jeremy McGibbon Christopher S. Bretherton
+ PDF Chat	fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model	2021	Jeremy McGibbon Noah Brenowitz Mark Cheeseman Spencer K. Clark Johann Dahm Eddie Davis Oliver D. Elbert Rhea George Lucas Harris Brian Henn
+	Interpreting and Stabilizing Machine-Learning Parametrizations of Convection	2020	Noah Brenowitz Tom Beucler Michael S. Pritchard Christopher S. Bretherton
+	Machine Learning Climate Model Dynamics: Offline versus Online Performance	2020	Noah Brenowitz Brian Henn Jeremy McGibbon Spencer K. Clark Anna Kwa W. A. Perkins Oliver Watt‐Meyer Christopher S. Bretherton
+ PDF Chat	Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining	2019	Noah Brenowitz Christopher S. Bretherton
+ PDF Chat	Prognostic Validation of a Neural Network Unified Physics Parameterization	2018	Noah Brenowitz Christopher S. Bretherton
+ PDF Chat	Prognostic validation of a neural network unified physics parameterization	2018	Noah Brenowitz Christopher S. Bretherton

Common Coauthors

Coauthor	Papers Together
Christopher S. Bretherton	11
Michael S. Pritchard	10
Yair Cohen	9
Jaideep Pathak	7
Karthik Kashinath	7
Thorsten Kurth	7
Boris Bonev	7
Jeremy McGibbon	6
Oliver Watt‐Meyer	6
Spencer K. Clark	6
Dale R. Durran	6
Morteza Mardani	5
Anna Kwa	5
Brian Henn	5
Peter Harrington	4
W. A. Perkins	4
Arash Vahdat	3
Ankur Mahesh	3
Mike Pritchard	3
Piyush Garg	3
W. D. Collins	2
Jared Willard	2
Mark D. Risser	2
Lucas Harris	2
Nathaniel Cresswell‐Clay	2
Tom Beucler	2
T. A. O'Brien	2
David T. Pruitt	2
Matthias Karlbauer	2
Raul A. Moreno	2
Martin V. Butz	2
Shashank Subramanian	2
Akshay Subramaniam	2
Walter M. Hannah	2
Joshua S. North	2
Sungduk Yu	2
Andrea M. Jenney	1
Laure Zanna	1
Guang J. Zhang	1
Jason Stock	1
Yu Huang	1
Mark A. Taylor	1
Clayton Sanford	1
Julius Busecke	1
Jacqueline M. Nugent	1
Eddie Davis	1
Gideon Dresdner	1
Janni Yuval	1
Johann Dahm	1
Y. S. Lin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events	2018	Paul A. O’Gorman J. G. Dwyer	3
+ PDF Chat	Deep learning to represent subgrid processes in climate models	2018	Stephan Rasp Michael S. Pritchard Pierre Gentine	3
+ PDF Chat	Prognostic Validation of a Neural Network Unified Physics Parameterization	2018	Noah Brenowitz Christopher S. Bretherton	3
+ PDF Chat	Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining	2019	Noah Brenowitz Christopher S. Bretherton	2
+ PDF Chat	Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations	2017	Tapio Schneider Shiwei Lan Andrew M. Stuart J. Teixeira	2
+ PDF Chat	Data‐Driven Medium‐Range Weather Prediction With a Resnet Pretrained on Climate Simulations: A New Model for WeatherBench	2021	Stephan Rasp Nils Thuerey	2
+ PDF Chat	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	2021	Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin Baining Guo	2
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	2
+	Forecasting Global Weather with Graph Neural Networks	2022	Ryan Keisler	2
+ PDF Chat	UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation	2020	Hui-Min Huang Lanfen Lin Ruofeng Tong Hongjie Hu Qiaowei Zhang Yutaro Iwamoto Xian‐Hua Han Yen‐Wei Chen Jian Wu	2
+ PDF Chat	UNet++: A Nested U-Net Architecture for Medical Image Segmentation	2018	Zongwei Zhou Md Mahfuzur Rahman Siddiquee Nima Tajbakhsh Jianming Liang	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Learning Mesh-Based Simulation with Graph Networks	2020	Tobias Pfaff Meire Fortunato Álvaro Sánchez‐González Peter Battaglia	2
+	GraphCast: Learning skillful medium-range global weather forecasting	2022	Rémi Lam Álvaro Sánchez‐González Matthew Willson Peter Wirnsberger Meire Fortunato Alexander Pritzel Suman Ravuri Timo Ewalds Ferran Alet Zach Eaton-Rosen	2
+ PDF Chat	Global Extreme Heat Forecasting Using Neural Weather Models	2022	Ignacio Lopez‐Gomez Amy McGovern Shreya Agrawal Jason Hickey	2
+ PDF Chat	SwinVRNN: A Data‐Driven Ensemble Forecasting Model via Learned Distribution Perturbation	2023	Yuan Hu Lei Chen Zhibin Wang Hao Li	2
+	FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead	2023	Kang Chen Tao Han Junchao Gong Lei Bai Fenghua Ling Jing‐Jia Luo Xi Chen Leiming Ma Tianning Zhang Rui Su	2
+	Inductive biases in deep learning models for weather prediction	2023	Jannik Thuemmel Matthias Karlbauer Sebastian Otte Christiane Zarfl Georg Martius Nicole Ludwig Thomas Scholten Ulrich Friedrich Volker Wulfmeyer Bedartha Goswami	2
+	Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere	2023	Boris Bonev Thorsten Kurth Christian Hundt Jaideep Pathak Maximilian Baust Karthik Kashinath Anima Anandkumar	2
+	FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators	2023	Thorsten Kurth Shashank Subramanian Peter Harrington Jaideep Pathak Morteza Mardani David Hall Andrea Miele Karthik Kashinath Anima Anandkumar	2
+	Differentiable modelling to unify machine learning and physical models for geosciences	2023	Chaopeng Shen Alison Appling Pierre Gentine Toshiyuki Bandai Hoshin V. Gupta Alexandre M. Tartakovsky Marco Baity‐Jesi Fabrizio Fenicia Daniel Kifer Li Li	2
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+ PDF Chat	HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere	2005	K. M. Górski E. Hivon A. J. Banday B. D. Wandelt F. K. Hansen M. Reinecke Matthias Bartelmann	2
+	Fourier Neural Operator for Parametric Partial Differential Equations	2020	Zongyi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu Kaushik Bhattacharya Andrew M. Stuart Anima Anandkumar	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Gaussian Error Linear Units (GELUs)	2016	Dan Hendrycks Kevin Gimpel	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+ PDF Chat	Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems	2021	Tom Beucler Michael S. Pritchard Stephan Rasp Jordan Ott Pierre Baldi Pierre Gentine	2
+ PDF Chat	WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models	2024	Stephan Rasp Stephan Hoyer Alexander Merose Ian Langmore Peter Battaglia Tyler Russell Álvaro Sánchez‐González Vivian Yang Robert W. Carver Shreya Agrawal	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	Methods for interpreting and understanding deep neural networks	2017	Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	1
+	Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models	2017	Wojciech Samek Thomas Wiegand Klaus‐Robert Müller	1
+ PDF Chat	DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications	2019	Nathanaël Perraudin Michaël Defferrard T. Kacprzak Raphaël Sgier	1
+ PDF Chat	A parallel Fortran framework for neural networks and deep learning	2019	Milan Curcic	1
+	Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz96 case study (v1.0)	2020	Stephan Rasp	1
+ PDF Chat	Convolutional neural networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis	2019	N. Krachmalnicoff M. Tomasi	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	Delving Deeper into Convolutional Networks for Learning Video Representations	2015	Nicolas Ballas Li Yao Chris Pal Aaron Courville	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+ PDF Chat	Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability	2020	Benjamin A. Toms Elizabeth A. Barnes Imme Ebert‐Uphoff	1
+ PDF Chat	Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions	2020	Janni Yuval Paul A. O’Gorman	1
+ PDF Chat	A Fortran-Keras Deep Learning Bridge for Scientific Computing	2020	Jordan Ott Mike Pritchard Natalie Best Erik Linstead Milan Curcic Pierre Baldi	1
+	Interpreting and Stabilizing Machine-Learning Parametrizations of Convection	2020	Noah Brenowitz Tom Beucler Michael S. Pritchard Christopher S. Bretherton	1
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	1
+ PDF Chat	The ECMWF ensemble prediction system: Looking back (more than) 25 years and projecting forward 25 years	2018	T. N. Palmer	1
+ PDF Chat	Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations	2019	Boris Hanin	1
+ PDF Chat	Array programming with NumPy	2020	C. R. Harris K. Jarrod Millman Stéfan van der Walt Ralf Gommers Pauli Virtanen David Cournapeau Eric Wieser Julian Taylor Sebastian Berg Nathaniel J. Smith	1
+ PDF Chat	Use of Neural Networks for Stable, Accurate and Physically Consistent Parameterization of Subgrid Atmospheric Processes With Good Performance at Reduced Precision	2021	Janni Yuval Paul A. O’Gorman Chris Hill	1
+ PDF Chat	Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models	2021	Jonathan A. Weyn Dale R. Durran Rich Caruana Nathaniel Cresswell‐Clay	1