Data-driven super-parameterization using deep learning: Experimentation
with multi-scale Lorenz 96 systems and transfer-learning

Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning

25 February 2020

Ashesh Chattopadhyay

Pedram Hassanzadeh

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Papers citing "Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning"

15 / 15 papers shown

Title
Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science Venkatramani Balaji AI4CE 99 50 0 24 May 2020
WeatherBench: A benchmark dataset for data-driven weather forecasting S. Rasp P. Dueben S. Scher Jonathan A. Weyn Soukayna Mouatadid Nils Thuerey AI4Cl AI4TS 98 459 0 02 Feb 2020
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 62 371 0 20 Nov 2019
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model D. Gagne H. Christensen A. Subramanian A. Monahan AI4CE BDL 111 143 0 10 Sep 2019
Analog forecasting of extreme-causing weather patterns using deep learning Ashesh Chattopadhyay Ebrahim Nabizadeh Pedram Hassanzadeh 66 144 0 26 Jul 2019
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling Tom Beucler S. Rasp Michael S. Pritchard Pierre Gentine 55 84 0 15 Jun 2019
Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems Jin-Long Wu K. Kashinath A. Albert D. Chirila P. Prabhat Heng Xiao AI4CE 54 134 0 13 May 2019
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction P. Watson AI4Cl AI4CE 55 65 0 24 Apr 2019
A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns Ashesh Chattopadhyay Pedram Hassanzadeh S. Pasha 43 143 0 12 Nov 2018
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting Patrick L. McDermott C. Wikle BDL 125 81 0 28 Jun 2018
Deep learning to represent sub-grid processes in climate models S. Rasp Michael S. Pritchard Pierre Gentine AI4Cl AI4CE 82 737 0 12 Jun 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks Pantelis R. Vlachas Wonmin Byeon Z. Y. Wan T. Sapsis Petros Koumoutsakos AI4TS 97 475 0 21 Feb 2018
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations T. Schneider Shiwei Lan Andrew M. Stuart J. Teixeira AI4Cl 97 320 0 31 Aug 2017
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 238 8,363 0 06 Nov 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 270 6,791 0 03 Sep 2014