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 <label class=drop-icon for=News>▾</label></a>
 <input type=checkbox id=News><ul class=submenu__list><li class=menu__item><a class=menu__link href=../news/><span class=menu__text>Our news</span></a></li><li class=menu__item><a class=menu__link href=../news/newsletters/><span class=menu__text>Newsletters</span></a></li></ul></li></ul></nav><button id=toggle-main-menu-mobile class="hamburger hamburger--slider" type=button>
 <span class=hamburger-box><span class=hamburger-inner></span></span></button></div></div><div id=hero class="hero-image hero-image-setheight" style=background-image:url(/images/susan-q-yin-2JIvboGLeho-unsplash.jpg)><div class=container><div class=hero-text><span class=hero-section></span><h1>Publications</h1><p>Research work and relevant papers by our team</p></div></div></div><div class="container pt-6 pt-md-10"><div class=row><div class=col-12><div class=page-intro><h2 id=mlines-research-publications>M²LInES research publications</h2><p>If you are interested in understanding how M²LInES is using machine learning to improve climate models, we have developed an educational JupyterBook <a href=https://m2lines.github.io/L96_demo target=_blank>Learning Machine Learning for Climate modeling with Lorenz 96</a>
-. This JupyterBook describes the key research themes in M²LInES, through the use of a simple climate model and machine learning algorithms. You can run the notebooks yourself, contribute to the development of the JupyterBook or let us know what you think on GitHub <a href=https://github.com/m2lines/L96_demo>https://github.com/m2lines/L96_demo</a>.</p><h3 id=2023>2023</h3><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/bdst_23.png style=width:100px;height:100px></div><p><strong>Will Chapman and Judith Berner</strong><br><a href=https://arxiv.org/abs/2308.15295><strong>Benefits of Deterministic and Stochastic Tendency Adjustments in a Climate Model</strong></a><br><i>ArXiv 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2308.15295</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/rcts_23.png style=width:100px;height:100px></div><p><strong>Christian Pedersen, Laure Zanna, Joan Bruna, Pavel Perezhogin</strong><br><a href=https://arxiv.org/abs/2307.13144><strong>Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation</strong></a><br><i>ICML 2023 Workshop on Synergy of Scientific and Machine Learning Modeling</i> <strong>DOI</strong>: 10.48550/arXiv.2307.13144</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/bpdc_23.png style=width:100px;height:100px></div><p><strong>Emily Newsom, Laure Zanna, Jonathan Gregory</strong><br><a href=https://arxiv.org/abs/2307.11902><strong>Background Pycnocline depth constrains Future Ocean Heat Uptake Efficiency</strong></a><br><i>ArXiv 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2307.11902</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/cisc_23.png style=width:100px;height:100px></div><p><strong>Fabrizio Falasca, Pavel Perezhogin, Laure Zanna</strong><br><a href=https://arxiv.org/abs/2306.14433><strong>Causal inference in spatiotemporal climate fields through linear response theory</strong></a><br><i>ArXiv 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2306.14433</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/labl_23.png style=width:100px;height:100px></div><p><strong>Sara Shamekh and Pierre Gentine</strong><br><a href=https://essopenarchive.org/doi/full/10.22541/essoar.168748456.60017486><strong>Learning Atmospheric Boundary Layer Turbulence</strong></a><br><i>JAMES 2023.</i> <strong>DOI</strong>: 10.22541/essoar.168748456.60017486/v1</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/pvmc_23.png style=width:100px;height:100px></div><p><strong>Aakash Sane, Brandon G. Reichl, Alistair Adcroft, Laure Zanna</strong><br><a href=https://doi.org/10.1029/2023MS003890><strong>Parameterizing vertical mixing coefficients in the Ocean
+. This JupyterBook describes the key research themes in M²LInES, through the use of a simple climate model and machine learning algorithms. You can run the notebooks yourself, contribute to the development of the JupyterBook or let us know what you think on GitHub <a href=https://github.com/m2lines/L96_demo>https://github.com/m2lines/L96_demo</a>.</p><h3 id=2024>2024</h3><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/wmy_24.png style=width:100px;height:100px></div><p><strong>William Gregory, Mitchell Bushuk, Yongfei Zhang, Alistair Adcroft, Laure Zanna</strong><br><a href=https://arxiv.org/abs/2308.15295><strong>Machine Learning for Online Sea Ice Bias Correction Within Global Ice-Ocean Simulations</strong></a><br><i>Geophysical Research Letters 2024.</i> <strong>DOI</strong>: 10.1029/2023GL106776</p></div><h3 id=2023>2023</h3><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/bdst_23.png style=width:100px;height:100px></div><p><strong>Will Chapman and Judith Berner</strong><br><a href=https://arxiv.org/abs/2308.15295><strong>Benefits of Deterministic and Stochastic Tendency Adjustments in a Climate Model</strong></a><br><i>ArXiv 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2308.15295</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/rcts_23.png style=width:100px;height:100px></div><p><strong>Christian Pedersen, Laure Zanna, Joan Bruna, Pavel Perezhogin</strong><br><a href=https://arxiv.org/abs/2307.13144><strong>Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation</strong></a><br><i>ICML 2023 Workshop on Synergy of Scientific and Machine Learning Modeling</i> <strong>DOI</strong>: 10.48550/arXiv.2307.13144</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/bpdc_23.png style=width:100px;height:100px></div><p><strong>Emily Newsom, Laure Zanna, Jonathan Gregory</strong><br><a href=https://arxiv.org/abs/2307.11902><strong>Background Pycnocline depth constrains Future Ocean Heat Uptake Efficiency</strong></a><br><i>AGU Geophysical Research Letters 2023.</i> <strong>DOI</strong>: 10.1029/2023GL105673</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/cisc_23.png style=width:100px;height:100px></div><p><strong>Fabrizio Falasca, Pavel Perezhogin, Laure Zanna</strong><br><a href=https://arxiv.org/abs/2306.14433><strong>A data-driven framework for dimensionality reduction and causal inference in climate fields</strong></a><br><i>ArXiv 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2306.14433</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/labl_23.png style=width:100px;height:100px></div><p><strong>Sara Shamekh and Pierre Gentine</strong><br><a href=https://essopenarchive.org/doi/full/10.22541/essoar.168748456.60017486><strong>Learning Atmospheric Boundary Layer Turbulence</strong></a><br><i>JAMES 2023.</i> <strong>DOI</strong>: 10.22541/essoar.168748456.60017486/v1</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/pvmc_23.png style=width:100px;height:100px></div><p><strong>Aakash Sane, Brandon G. Reichl, Alistair Adcroft, Laure Zanna</strong><br><a href=https://doi.org/10.1029/2023MS003890><strong>Parameterizing vertical mixing coefficients in the Ocean
 Surface Boundary Layer using Neural Networks</strong></a><br><i>JAMES 2023.</i> <strong>DOI</strong>: 10.1029/2023MS003890</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/climsim_23.png style=width:100px;height:100px></div><p><strong>Sungduk Yu, ..., Michael S. Pritchard<br></strong><a href=https://doi.org/10.48550/arXiv.2306.08754><strong>ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid<br>multi-scale climate simulators</strong></a><br><i>ArXiv 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2306.08754</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/lces_23.png style=width:100px;height:100px></div><p><strong>Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh, Laure Zanna</strong><br><a href=https://doi.org/10.22541/essoar.168677212.21341231/v1><strong>Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges.</strong></a><br><i>ESS Open Archive. 2023.</i> <strong>DOI</strong>: 10.22541/essoar.168677212.21341231/v1</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/dcre_23.png style=width:100px;height:100px></div><p><strong>Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius,<br>Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge</strong><br><a href=https://doi.org/10.1016/j.physrep.2023.10.005><strong>Discovering Causal Relations and Equations from Data.</strong></a><br><i>Physics Reports 2023.</i> <strong>DOI</strong>: 10.1016/j.physrep.2023.10.005</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/hwnh_23.png style=width:100px;height:100px></div><p><strong>Rei Chemke and Janni Yuval</strong><br><a href=https://www.nature.com/articles/s41586-023-05903-1><strong>Human-induced weakening of the Northern Hemisphere tropical circulation</strong></a><br><i>Nature. 2023.</i> <strong>DOI</strong>: 10.1038/s41586-023-05903-1</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/Gregory_et_al.2023.png style=width:100px;height:100px></div><p><strong>William Gregory, Mitchell Bushuk, Alistair Adcroft, Yongfei Zhang, Laure Zanna</strong><br><a href=https://doi.org/10.1029/2023MS003757><strong>Deep learning of systematic sea ice model errors from data assimilation increments</strong></a><br><i>JAMES 2023.</i> <strong>DOI</strong>: 10.1029/2023MS003757</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/nnps_23.png style=width:100px;height:100px></div><p><strong>Janni Yuval and Paul A. O’Gorman</strong><br><a href=https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023MS003606><strong>Neural-Network Parameterization of Subgrid Momentum Transport in the Atmosphere</strong></a><br><i>JAMES 2023.</i> <strong>DOI</strong>: 10.1029/2023MS003606</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/dmms_23.png style=width:100px;height:100px></div><p><strong>Karl Otness, Laure Zanna, Joan Bruna</strong><br><a href=https://www.climatechange.ai/papers/iclr2023/60><strong>Data-driven multiscale modeling of subgrid parameterizations in climate models</strong></a><br><i>arXiv:2303.17496. Preprint submitted to ICLR Workshop on Climate Change AI. 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2303.17496</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/encs_23.png style=width:100px;height:100px></div><p><strong>Fabrizio Falasca, Andrew Brettin, Laure Zanna, Stephen M. Griffies, Jianjun Yin, Ming Zhao</strong><br><a href=https://arxiv.org/abs/2211.04608><strong>Exploring the non-stationarity of coastal sea level probability distributions</strong></a><br><i>arxiv.org:2211.04608. Preprint submitted to EDS. 2023.</i> <strong>DOI</strong>: 10.48550/arXiv.2211.04608</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/Perezhogin_eddy.gif style=width:100px;height:100px></div><p><strong>Pavel Perezhogin, Laure Zanna, Carlos Fernandez-Granda</strong><br><a href=https://doi.org/10.1029/2023MS003681><strong>Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model</strong></a><br><i>JAMES. 2023.</i> <strong>DOI</strong>: 10.1029/2023MS003681</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/2208-Ross.png style=width:100px;height:100px></div><p><strong>Andrew Ross, Ziwei Li, Pavel Perezhogin, Carlos Fernandez-Granda, Laure Zanna</strong><br><a href=https://doi.org/10.1029/2022MS003258><strong>Benchmarking of machine learning ocean subgrid parameterizations in an idealized model</strong></a><br><i>JAMES. 2023.</i> <strong>DOI</strong>: 10.1029/2022MS003258</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/0523-Chengetal.png style=width:100px;height:100px></div><p><strong>Cheng Zhang, Pavel Perezhogin, Cem Gultekin, Alistair Adcroft, Carlos Fernandez-Granda, Laure Zanna</strong><br><a href=https://doi.org/10.1029/2023MS003697><strong>Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization into a<br>Numerical Ocean Circulation Model</strong></a><br><i>JAMES 2023.</i> <strong>DOI</strong>: 10.1029/2023MS003697</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/rsks_23.png style=width:100px;height:100px></div><p><strong>Qiyu Xiao, Dhruv Balwada, C. Spencer Jones, Mario Herrero-Gonzalez, K. Shafer Smith, Ryan Abernathey</strong><br><a href=https://essopenarchive.org/users/595672/articles/629531-reconstruction-of-surface-kinematics-from-sea-surface-height-using-neural-networks)><strong>Reconstruction of Surface Kinematics from Sea Surface Height Using Neural Networks</strong></a><br><i>JAMES. 2023.</i> <strong>DOI</strong>: 10.1029/2022MS003258</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/Uchida2023.jpg style=width:100px;height:100px></div><p><strong>Takaya Uchida, Dhruv Balwada, Quentin Jamet, William K. Dewar, Bruno Deremble,<br>Thierry Penduff, Julien Le Sommer</strong><br><a href=https://www.sciencedirect.com/science/article/abs/pii/S1463500323000136?via%3Dihub)><strong>Cautionary tales from the mesoscale eddy transport tensor</strong></a><br><i>ScienceDirect 2023.</i> <strong>DOI</strong>: 10.1016/j.ocemod.2023.102172</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/2207-Subel.png style=width:100px;height:100px></div><p><strong>Adam Subel, Yifei Guan, Ashesh Chattopadhyay, Pedram Hassanzadeh</strong><br><a href=https://academic.oup.com/pnasnexus/article/2/3/pgad015/6998042)><strong>Explaining the physics of transfer learning in data-driven turbulence modeling</strong></a><br><i>PNAS NEXUS 2023.</i> <strong>DOI</strong>: 10.1093/pnasnexus/pgad015</p></div><br><h3 id=2022>2022</h3><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/2204-Bruna.png style=width:100px;height:100px></div><p><strong>Joan Bruna, Benjamin Peherstorfer, Eric Vanden-Eijnden</strong><br><a href=https://doi.org/10.1016/j.jcp.2023.112588><strong>Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations</strong></a><br><i>Journal of Computational Physics</i> <strong>DOI</strong>: 10.1016/j.jcp.2023.112588</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/npas_23.png style=width:100px;height:100px></div><p><strong>Peidong Wang, Janni Yuval, Paul A. O'Gorman</strong><br><a href=https://doi.org/10.1029/2022MS002984><strong>Non-local parameterization of atmospheric subgrid processes with neural networks</strong></a><br><i>JAMES 2022.</i> <strong>DOI</strong>: 10.1029/2022MS002984</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/2211Shamekh.png style=width:100px;height:100px></div><p><strong>Sara Shamekh, Kara D Lamb, Yu Huang, Pierre Gentine</strong><br><a href=https://doi.org/10.1002/essoar.10512517.1><strong>Implicit learning of convective organization explains precipitation stochasticity</strong></a><br><i>In review. 2022.</i> <strong>DOI</strong>: 10.1002/essoar.10512517.1</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/pwcm_22.png style=width:100px;height:100px></div><p><strong>Hannah Christensen and Laure Zanna</strong><br><a href=https://doi.org/10.1093/acrefore/9780190228620.013.826><strong>Parametrization in Weather and Climate Models</strong></a><br><i>Oxford Research Encyclopedia of Climate Science. 2022.</i> <strong>DOI</strong>: 10.1093/acrefore/9780190228620.013.826</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/dpe_22.png style=width:100px;height:100px></div><p><strong>Sheng Liu, Aakash Kaku, Haoxiang Huang, Laure Zanna, Weicheng Zhu, Narges Razavian,<br>Matan Leibovich, Sreyas Mohan, Boyang Yu, Jonathan Niles-Weed, Carlos Fernandez-Granda</strong><br><a href=https://proceedings.mlr.press/v162/liu22f/liu22f.pdf><strong>Deep Probability Estimation</strong></a><br><i>Proceedings of the 39th International Conference on Machine Learning, PMLR 162:13746-13781, 2022.</i><br><strong>DOI</strong>: 10.48550/arXiv.2111.10734</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/GCMfilters.png style=width:100px;height:100px></div><p><strong>Nora Loose, Ryan Abernathey, Ian Grooms, Julius Busecke, Arthur Guillaumin,<br>Elizabeth Yankovsky, Gustavo Marques, Jacob Steinberg, Andrew Slavin Ross, Hemant Khatri,<br>Scott Bachman, Laure Zanna, Paige Martin</strong><br><a href=https://doi.org/10.21105/joss.03947><strong>GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data</strong></a><br><i>Journal of Open Source Software 7(70), p.3947. 2022.</i> <strong>DOI</strong>: 10.21105/joss.03947</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/aplq_22.png style=width:100px;height:100px></div><p><strong>Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat</strong><br><a href=https://doi.org/10.1029/2022MS003124><strong>A posteriori learning for quasi-geostrophic turbulence parametrization</strong></a><br><i>JAMES. 2022.</i> <strong>DOI</strong>: 10.1029/2022MS003124</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/news/0623-Zampieri.jpg style=width:100px;height:100px></div><p><strong>Lorenzo Zampieri, Gabriele Arduini, Marika Holland, Sarah Keeley, Kristian S. Mogensen,<br>Matthew D. Shupe, Steffen Tietsche</strong><br><a href=https://doi.org/10.1002/essoar.10511269.1><strong>A machine learning correction model of the clear-sky bias over the Arctic sea ice in atmospheric reanalyses</strong></a><br><i>J Earth and Space Science Open Archive. 2022 (preprint)</i> <strong>DOI</strong>: 10.1002/essoar.10511269.1</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/ogdc_22.png style=width:100px;height:100px></div><p><strong>Lei Chen and Joan Bruna</strong><br><a href=https://doi.org/10.48550/arXiv.2206.04172><strong>On Gradient Descent Convergence beyond the Edge of Stability</strong></a><br><i>ArXiv 2022</i> <strong>DOI</strong>: 10.48550/arXiv.2206.04172</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><img src=../images/publications/hbcs_22.png style=width:100px;height:100px></div><p><strong>Mohamed Aziz Bhouri and Pierre Gentine</strong><br><a href=https://arxiv.org/abs/2210.14488><strong>History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96</strong></a><br><i>ArXiv 2022.</i> <strong>DOI</strong>: 10.48550/arXiv.2210.14488</p></div></div></div></div></div><div class="container pb-6 pt-6 pb-md-10 pt-md-10"><div class=row><div class="col-12 col-md-6 mb-2"><div class="work work-summary"><div class=work-content><h2 class=work-title><a href=https://m2lines.github.io/publications/archive/>Publications Archive</a></h2><h3 id=2021-->2021 -</h3><ul><li><p>Guillaumin, A. P., & Zanna, L. <strong><a href=https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021MS002534 target=_blank>Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing</a></strong> JAMES...</p></li></ul></div></div></div></div></div></div><div class=footer><div class=container><div class=row><div class=col-12><div class=footer-inner><ul><li class=logof><a href=https://schmidtfutures.com/ target=blank><img src=https://m2lines.github.io/images/Schmidt-Futures-Logo-small.jpg></a></li><li class=copyright>This project is supported by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt that bets early on exceptional people making the world better, particularly through innovative breakthroughs in science and technology.</li></ul></div></div></div></div></div><div class=sub-footer><div class=container><div class=row><div class=col-12><div class=sub-footer-inner><div class=social><a href=mailto:m2lines@nyu.edu target=blank><img src=../images/PICOL_icon_Mailw.png title=Email alt=Email></a>
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-<span class=hamburger-box><span class=hamburger-inner></span></span></button></div></div><div id=hero class="hero-image hero-image-setheight" style=background-image:url(/images/headway-F2KRf_QfCqw-unsplash.jpeg)><div class=container><div class=hero-text><span class=hero-section></span><h1>Talks</h1><p></p></div></div></div><div class="container pt-6 pt-md-10"><div class=row><div class=col-12><div class=page-intro><p>Your can find most of our past talks, and much more, on our <a class="button button-inline" href=https://www.youtube.com/channel/UCUfOPtnJ3RlT7aOWODNvCmQ>Youtube Channel</a></p><p>Themes of the talks:</p><ul><li>📊 Big data</li><li>💻 Machine Learning</li><li>🎆 Physics discovery</li><li>🌎 Modeling</li></ul><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/css/splide.min.css><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/css/splide-extension-video.min.css><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/js/splide.min.js></script><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/js/splide-extension-video.min.js></script><style>#video-carousel{margin-left:auto;margin-right:auto;max-width:1000px}.video-wrapper{position:relative;width:100%;padding-top:56.25%}.splide__video{position:absolute;top:0;left:0;width:100%;height:100%}p{word-wrap:break-word;overflow-wrap:break-word;white-space:normal}</style><script>document.addEventListener('DOMContentLoaded',function(){var splide=new Splide('#video-carousel',{type:'loop',perPage:1,rewind:true,width:'800px',gap:'1rem',pagination:false,autoplay:false,pauseOnHover:true,});splide.mount(window.splide.Extensions);});</script><div id=video-carousel class=splide><div class=splide__track><ul class=splide__list><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/SRDb7X30DYc?si=GYok6r1Kz8Z-FcPR"></iframe></div><p align=center><strong>Laure Zanna</strong><br><em>Transforming Climate Modeling with AI: hype or Reality?</em><br>UN AI for Good - March 2023 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/bKtuRjxWNYE?si=Z2FccgUAGyS-AG32"></iframe></div><p align=center><strong>Janni Yuval</strong><br><em>Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation</em><br>23rd AMS Conference on Atmospheric and Oceanic Fluid Dynamics - June 2022 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/X3EQg1_-xXU?si=hCf5UVIUwmVmGi8O"></iframe></div><p align=center><strong>Pavel Perezhogin</strong><br><em>Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean<br>model</em><br>NEMO working group on Machine-Learning - April 2023</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/U7RY218Vp0E?si=XM6k703NDHZOb8PD"></iframe></div><p align=center><strong>Aakash Sane</strong><br><em>Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using<br>Neural Networks</em><br>Ocean Sciences Meeting - February 2022 &#128187; &#127878;</p></li></ul></div></div><h1 style=font-family:Helvetica,serif;text-align:center>Recent talks</h1><hr style=width:100%;margin-top:20px;border-color:#333><h2 id=2022><em>2022</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fcMyaTDp2C0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fcMyaTDp2C0/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>On the design strategy of subgrid parameterizations in modern sea ice models</em><br>Arctic Model Parameterization Development - December 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=hcuahoLpDog');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/hcuahoLpDog/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Climate Science and AI in Big Tech</em><br>Climate Change AI Webinar Series - December 15th &#128202; &#128187;<br><em>NOTE</em>: You can find all the talks and posters our members gave at the AGU Fall meeting in our December 2022 <a href=https://mailchi.mp/169d6f0c61f9/m2lines-december-newsletter-agu-special>newsletter</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Physics to Machine Learning and Machine Learning Back to Physics</em><br>Columbia Center of AI Technology - December 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=beO9Zcpa570');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/beO9Zcpa570/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong> and Steven Brunton<br><em>Machine learning in fluid dynamics and climate physics</em><br>Nature Reviews Physics + Alan Turing Institute - October 5th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3y00LhyACV4');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3y00LhyACV4/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Ocean and Climate Modeling: advances, challenges and outlook</em><br>LEAP Seminar - September 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>AI for Climate Physics</em><br>Hammers and Nails - August 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Plenary talk</em><br>SIAM conference on Mathematics for Planet Earth - July 13th &#128187; &#127878; &#127758;<br><em>NOTE</em>: More info at this <a href="https://www.siam.org/conferences/cm/conference/mpe22?_ga=2.193046573.1207615065.1657569935-11076920.1657569935">website</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=q_gGIL-Kvgs&list=PLfdKzSc-V-WAYHR8sPfddkCbnwnfuBb1A&t=11550s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/q_gGIL-Kvgs/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Joint plenary talk with Galen McKinley on M²LInES and LEAP</em><br>2022 CESM Workshop - June 13th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=qRSXSkjvFcE');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/qRSXSkjvFcE/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Mesoscale Closures in Ocean Models</em><br>NCAR Mesoscale & Microscale Meteorology Laboratory - June 2nd &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Can Artificial Intelligence Help Us Better Project Climate Change?</em><br>The Artificial Intelligence for Good Group - May 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://iclr.cc/virtual/2022/workshop/4550');"><a href=# class=fill-div><img src=../../images/talks/AR_22.png alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br>Panel discussion on the future of model interpretability at the ICLR workshop on AI for Earth and Space Science - April 29th<br><em>NOTE</em>: You can find the panel on the top main video at 7:49:25 <a href=https://iclr.cc/virtual/2022/workshop/4550>here </a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=ydiCxUliaG0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/ydiCxUliaG0/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Online implementation of Machine Learning Eddy Parameterizations in a Hierarchy of Ocean Models</em><br>Ocean Sciences Meeting - March 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=M3ypY9vPRpQ');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/M3ypY9vPRpQ/0.jpg alt="Video Preview"></a></div></div><p><strong>Mitch Bushuk</strong><br><em>Mechanisms of Regional Arctic Sea Ice Predictability in Dynamical Seasonal Forecast Systems</em><br>Ocean Sciences Meeting - March 3rd &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud: A New Approach to Ocean Data and Computing</em><br>Ocean Sciences Meeting - March 3rd &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3SYWCtuzrKk');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3SYWCtuzrKk/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>A machine learning correction model for the warm bias over Arctic sea ice in atmospheric reanalyses</em><br>Ocean Sciences Meeting - March 1st &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=gTOzmE7_-mU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/gTOzmE7_-mU/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Tracer Ventilation, Stirring, and Variability in the Antarctic Circumpolar Current</em><br>Ocean Sciences Meeting - March 1st &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=pCdiWFwICr0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/pCdiWFwICr0/0.jpg alt="Video Preview"></a></div></div><p><strong>Brandon Reichl</strong><br><em>A potential energy analysis of ocean surface mixed layers</em><br>Ocean Sciences Meeting - February 28th</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fIIAqrFOUSM');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fIIAqrFOUSM/0.jpg alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br><em>Evaluating machine learning parameterizations of ocean subgrid forcing</em><br>Ocean Sciences Meeting - February 28th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=OKZl9IjWSHA');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/OKZl9IjWSHA/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Direct observational estimate of the dual kinetic energy cascade and its seasonality at the surface ocean from surface drifters</em><br>Ocean Sciences Meeting - February 28th &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://vimeo.com/670782104');"><a href=# class=fill-div><img src=../../images/talks/RA_22.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud - Transforming oceanography with a new approach to data and computing</em><br>Ocean Data Conference - February 15th &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=X3EQg1_-xXU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/X3EQg1_-xXU/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 10th &#128202; &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=JB7LpUJlxc0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/JB7LpUJlxc0/1.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Data-driven turbulence closures for ocean and climate models: advances and challenges</em><br>UW Data-driven methods in science and engineering seminar - February 4th &#128187; &#127878;</p></div></div></div></div></div><div class="container pb-6 pt-6 pb-md-10 pt-md-10"><div class=row><div class="col-12 col-md-6 mb-2"><div class="service service-summary"><div class=service-content><h2 class=service-title><a href=https://m2lines.github.io/research/talks/archive/>Archive Talks</a></h2><p>A list of talks from previous years.</p><h2 id=2021><em>2021</em></h2><ul><li><strong>Joan Bruna</strong> - Deep Learning Barcelona: <em>Geometric Deep Learning: Prospects and...</em></li></ul></div></div></div></div></div><div class="container pb-6 pt-6 pb-md-10 pt-md-10"><div class=row><div id=mc_embed_signup><form action="https://github.us1.list-manage.com/subscribe/post?u=c81830f2905baad1c7b2d8c8b&id=5b8c433eb4" method=post id=mc-embedded-subscribe-form name=mc-embedded-subscribe-form class=validate target=_blank novalidate><div id=mc_embed_signup_scroll><h2>Subscribe to our newsletter</h2><div class=indicates-required><span class=asterisk>*</span> indicates required</div><div class=mc-field-group><label for=mce-EMAIL>Email Address <span class=asterisk>*</span></label>
+<span class=hamburger-box><span class=hamburger-inner></span></span></button></div></div><div id=hero class="hero-image hero-image-setheight" style=background-image:url(/images/headway-F2KRf_QfCqw-unsplash.jpeg)><div class=container><div class=hero-text><span class=hero-section></span><h1>Talks</h1><p></p></div></div></div><div class="container pt-6 pt-md-10"><div class=row><div class=col-12><div class=page-intro><p>Your can find most of our past talks, and much more, on our <a class="button button-inline" href=https://www.youtube.com/channel/UCUfOPtnJ3RlT7aOWODNvCmQ>Youtube Channel</a></p><p>Themes of the talks:</p><ul><li>📊 Big data</li><li>💻 Machine Learning</li><li>🎆 Physics discovery</li><li>🌎 Modeling</li></ul><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/css/splide.min.css><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/css/splide-extension-video.min.css><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/js/splide.min.js></script><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/js/splide-extension-video.min.js></script><style>#video-carousel{margin-left:auto;margin-right:auto;max-width:1000px}.video-wrapper{position:relative;width:100%;padding-top:56.25%}.splide__video{position:absolute;top:0;left:0;width:100%;height:100%}p{word-wrap:break-word;overflow-wrap:break-word;white-space:normal}</style><script>document.addEventListener('DOMContentLoaded',function(){var splide=new Splide('#video-carousel',{type:'loop',perPage:1,rewind:true,width:'800px',gap:'1rem',pagination:false,autoplay:false,pauseOnHover:true,});splide.mount(window.splide.Extensions);});</script><div id=video-carousel class=splide><div class=splide__track><ul class=splide__list><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/oiIiWwm7iNM?si=SbFdl4Ovoe-9UJc-"></iframe></div><p align=center><strong>Laure Zanna</strong><br><em>Accelerating Discovery in Climate Physics with Machine Learning</em><br>Simons foundation Presidential Lecture - February 2024 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/PbcFWN5dtJc?si=Vb8WLHSDMhEIFyfn"></iframe>></iframe></div><p align=center><strong>Paul O'Gorman</strong><br><em>MIT's BC3 and Climate and Weather Extremes</em><br>ICCS Cross VESRI Journal - February 2024 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/EfGNoRIzq4M?si=xeZUktdxbfTTl5-B"></iframe></div><p align=center><strong>Will Chapman</strong><br><em>Advancing Weather and Climate Prediction with Data Driven Methods</em><br>Paul G. Allen School - February 2024</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/1esiBpicss4?si=-ZnmyagFdZnxr6u6"></iframe></div><p align=center><strong>Laure Zanna</strong><br><em>A New Generation of Global Climate Models Augmented by AI</em><br>Distinguished Seminar Series in Computational Science and Engineering - October 2023 &#128187; &#127878;</p></li></ul></div></div><h1 style=font-family:Helvetica,serif;text-align:center>Recent talks</h1><hr style=width:100%;margin-top:20px;border-color:#333><h2 id=2024><em>2024</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=FEmuUlVvTuw');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/FEmuUlVvTuw/0.jpg alt="Video Preview"></a></div></div><p><strong>Aakash Sane</strong><br><em>Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer Using Neural Networks</em><br>CESM OMWG - February &#128187; &#127878;</p></div><h2 id=2023><em>2023</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=GVaFjoiB4I4&t=10519s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/GVaFjoiB4I4/0.jpg alt="Video Preview"></a></div></div><p><strong>Pavel Perezhogin</strong><br><em>Machine-Learned parameterizations of mesoscale eddies in MOM6 ocean model: convolutional neural network and symbolic regression</em><br>28th Annual CESM Workshop - June &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=6lqkFuLI0ms');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/6lqkFuLI0ms/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Ocean and Atmosphere Dynamics</em><br>Climatematch academy - July &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=Tya7d0tfpb0&t=1743s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/Tya7d0tfpb0/0.jpg alt="Video Preview"></a></div></div><p><strong>Fabrizio Falasca</strong><br><em>Exploting the nonstationarity of coastal sea level probability distributions</em><br>NOAA-CVP Webinar Series 2023 - April &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=AIgTy033-A4');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/AIgTy033-A4/0.jpg alt="Video Preview"></a></div></div><p><strong>Paul O'Gorman</strong><br><em>Improving climate models using machine learning</em><br>MIT Generative AI Week - November &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=SRDb7X30DYc');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/SRDb7X30DYc/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Transforming Climate Modeling with AI: hype or Reality?</em><br>UN AI for Good - March &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=X3EQg1_-xXU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/X3EQg1_-xXU/0.jpg alt="Video Preview"></a></div></div><p><strong>Pavel Perezhogin</strong><br><em>Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model</em><br>NEMO working group on Machine-Learning - April &#128187; &#127878;</p></div><h2 id=2022><em>2022</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=bKtuRjxWNYE');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/bKtuRjxWNYE/0.jpg alt="Video Preview"></a></div></div><p><strong>Janni Yuval</strong><br><em>Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation</em><br>23rd AMS Conference on Atmospheric and Oceanic Fluid Dynamics - June &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=U7RY218Vp0E');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/U7RY218Vp0E/0.jpg alt="Video Preview"></a></div></div><p><strong>Aakash Sane</strong><br><em>Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using Neural Networks</em><br>February &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fcMyaTDp2C0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fcMyaTDp2C0/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>On the design strategy of subgrid parameterizations in modern sea ice models</em><br>Arctic Model Parameterization Development - December 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=hcuahoLpDog');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/hcuahoLpDog/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Climate Science and AI in Big Tech</em><br>Climate Change AI Webinar Series - December 15th &#128202; &#128187;<br><em>NOTE</em>: You can find all the talks and posters our members gave at the AGU Fall meeting in our December 2022 <a href=https://mailchi.mp/169d6f0c61f9/m2lines-december-newsletter-agu-special>newsletter</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Physics to Machine Learning and Machine Learning Back to Physics</em><br>Columbia Center of AI Technology - December 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=beO9Zcpa570');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/beO9Zcpa570/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong> and Steven Brunton<br><em>Machine learning in fluid dynamics and climate physics</em><br>Nature Reviews Physics + Alan Turing Institute - October 5th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3y00LhyACV4');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3y00LhyACV4/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Ocean and Climate Modeling: advances, challenges and outlook</em><br>LEAP Seminar - September 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>AI for Climate Physics</em><br>Hammers and Nails - August 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Plenary talk</em><br>SIAM conference on Mathematics for Planet Earth - July 13th &#128187; &#127878; &#127758;<br><em>NOTE</em>: More info at this <a href="https://www.siam.org/conferences/cm/conference/mpe22?_ga=2.193046573.1207615065.1657569935-11076920.1657569935">website</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=q_gGIL-Kvgs&list=PLfdKzSc-V-WAYHR8sPfddkCbnwnfuBb1A&t=11550s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/q_gGIL-Kvgs/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Joint plenary talk with Galen McKinley on M²LInES and LEAP</em><br>2022 CESM Workshop - June 13th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=qRSXSkjvFcE');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/qRSXSkjvFcE/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Mesoscale Closures in Ocean Models</em><br>NCAR Mesoscale & Microscale Meteorology Laboratory - June 2nd &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Can Artificial Intelligence Help Us Better Project Climate Change?</em><br>The Artificial Intelligence for Good Group - May 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://iclr.cc/virtual/2022/workshop/4550');"><a href=# class=fill-div><img src=../../images/talks/AR_22.png alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br>Panel discussion on the future of model interpretability at the ICLR workshop on AI for Earth and Space Science - April 29th<br><em>NOTE</em>: You can find the panel on the top main video at 7:49:25 <a href=https://iclr.cc/virtual/2022/workshop/4550>here </a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=ydiCxUliaG0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/ydiCxUliaG0/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Online implementation of Machine Learning Eddy Parameterizations in a Hierarchy of Ocean Models</em><br>Ocean Sciences Meeting - March 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=M3ypY9vPRpQ');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/M3ypY9vPRpQ/0.jpg alt="Video Preview"></a></div></div><p><strong>Mitch Bushuk</strong><br><em>Mechanisms of Regional Arctic Sea Ice Predictability in Dynamical Seasonal Forecast Systems</em><br>Ocean Sciences Meeting - March 3rd &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud: A New Approach to Ocean Data and Computing</em><br>Ocean Sciences Meeting - March 3rd &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3SYWCtuzrKk');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3SYWCtuzrKk/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>A machine learning correction model for the warm bias over Arctic sea ice in atmospheric reanalyses</em><br>Ocean Sciences Meeting - March 1st &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=gTOzmE7_-mU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/gTOzmE7_-mU/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Tracer Ventilation, Stirring, and Variability in the Antarctic Circumpolar Current</em><br>Ocean Sciences Meeting - March 1st &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=pCdiWFwICr0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/pCdiWFwICr0/0.jpg alt="Video Preview"></a></div></div><p><strong>Brandon Reichl</strong><br><em>A potential energy analysis of ocean surface mixed layers</em><br>Ocean Sciences Meeting - February 28th</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fIIAqrFOUSM');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fIIAqrFOUSM/0.jpg alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br><em>Evaluating machine learning parameterizations of ocean subgrid forcing</em><br>Ocean Sciences Meeting - February 28th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=OKZl9IjWSHA');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/OKZl9IjWSHA/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Direct observational estimate of the dual kinetic energy cascade and its seasonality at the surface ocean from surface drifters</em><br>Ocean Sciences Meeting - February 28th &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://vimeo.com/670782104');"><a href=# class=fill-div><img src=../../images/talks/RA_22.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud - Transforming oceanography with a new approach to data and computing</em><br>Ocean Data Conference - February 15th &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=X3EQg1_-xXU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/X3EQg1_-xXU/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 10th &#128202; &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=JB7LpUJlxc0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/JB7LpUJlxc0/1.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Data-driven turbulence closures for ocean and climate models: advances and challenges</em><br>UW Data-driven methods in science and engineering seminar - February 4th &#128187; &#127878;</p></div></div></div></div></div><div class="container pb-6 pt-6 pb-md-10 pt-md-10"><div class=row><div class="col-12 col-md-6 mb-2"><div class="service service-summary"><div class=service-content><h2 class=service-title><a href=https://m2lines.github.io/research/talks/archive/>Archive Talks</a></h2><p>A list of talks from previous years.</p><h2 id=2021><em>2021</em></h2><ul><li><strong>Joan Bruna</strong> - Deep Learning Barcelona: <em>Geometric Deep Learning: Prospects and...</em></li></ul></div></div></div></div></div><div class="container pb-6 pt-6 pb-md-10 pt-md-10"><div class=row><div id=mc_embed_signup><form action="https://github.us1.list-manage.com/subscribe/post?u=c81830f2905baad1c7b2d8c8b&id=5b8c433eb4" method=post id=mc-embedded-subscribe-form name=mc-embedded-subscribe-form class=validate target=_blank novalidate><div id=mc_embed_signup_scroll><h2>Subscribe to our newsletter</h2><div class=indicates-required><span class=asterisk>*</span> indicates required</div><div class=mc-field-group><label for=mce-EMAIL>Email Address <span class=asterisk>*</span></label>
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 <span class=hamburger-box><span class=hamburger-inner></span></span></button></div></div><div class="container pt-10 pb-6"><div class=row><div class=col-12><h1 class="title-1 black">talks</h1></div></div></div><div class="container pb-6"><div class=row><div class="col-12 col-md-6 mb-2"><p>A list of talks from previous years.</p><h2 id=2021><em>2021</em></h2><ul><li><strong>Joan Bruna</strong> - Deep Learning Barcelona: <em>Geometric Deep Learning: Prospects and Challenges</em>. 💻 Dec 22nd <a class="button button-inline" href="https://www.youtube.com/watch?v=LJHzEM8_6k8">Video</a></li><li><strong>AGU</strong> - Dec 13th-17th 2021
 Find the list of talks and posters by our team members in our latest newsletter. 📊 💻 🎆 <a class="button button-inline" href=https://mailchi.mp/29ddfae980e7/m2lines-december-newsletter>Newsletter</a></li><li><strong>Laure Zanna</strong> - NeurIPS: <em>Machine Learning and the Physical Sciences: The future of climate modeling in the age of machine learning (invited)</em>. 💻 🎆 Dec 13th <a class="button button-inline" href=https://ml4physicalsciences.github.io/2021/>More Info</a></li><li><strong>Judith Berner</strong> - ASP S2S Colloquium 2021: <em>S2S predictability and uncertainty</em>. 🎆 🌎 Dec 7th <a class="button button-inline" href="https://www.youtube.com/watch?v=Yp5ueV3yOM8">Video</a></li><li><strong>Joan Bruna</strong> - UW Data-driven methods in science and engineering seminar: <em>Mathematical Prospects and Challenges of Machine Learning in the Physical World</em>. 💻 🎆 Dec 3rd <a class="button button-inline" href="https://www.youtube.com/watch?v=_sNEYmS0BdI">Video</a></li><li><strong>Laure Zanna</strong> - DOE AI4ESP workshop: <em>AI for Oceans: Improving Climate Projections</em>. 💻 🎆 Dec 1st <a class="button button-inline" href="https://www.youtube.com/watch?v=c82K9vQrV1Q">Video</a></li><li><strong>Pierre Gentine</strong> - AI For Good: <em>Better Better — machine learning for improved climate models and projections</em>. 💻 🎆 Nov 17th <a class="button button-inline" href="https://www.youtube.com/watch?v=SYC7ZVLxomI">Video</a></li><li><strong>Laure Zanna</strong> - AI For Good: <em>Bridging observations and numerical modelling of the ocean using machine learning</em>. 💻 🎆 Nov 10th <a class="button button-inline" href="https://www.youtube.com/watch?v=BLF4w-4JUe4">Video</a></li><li><strong>Paul O' Gorman and Janni Yuval</strong> - AI for Good: <em>Improving rainfall and water-cycle projections through machine learning</em>. 💻 🎆 Nov 3rd <a class="button button-inline" href="https://www.youtube.com/watch?v=ehHywbGSaBk">Video</a></li><li><strong>Pierre Gentine</strong> - DOE AI4ESP workshop: <em>Potential of Machine Learning for Climate Modeling</em>. 💻 🎆 Nov 2nd <a class="button button-inline" href="https://youtu.be/YLWD1tqE4FA?t=1042">Video</a></li><li><strong>Laure Zanna</strong> - Podcast &ldquo;Climate Now&rdquo;: <em>Improving Climate Models with Machine Learning</em>. 💻 🎆 Nov 2nd <a class="button button-inline" href=https://podcasts.apple.com/us/podcast/climate-now/id1565404483>Listen</a></li><li>KITP Conference: Machine Learning for Climate. Talks are available <a href=https://online.kitp.ucsb.edu/online/climate-c21/ target=_blank>here</a>
-. In particular:<ul><li><strong>Laure Zanna</strong> - <em>Machine Learning for Ocean Closures: Advances and Lessons</em>. 💻 🎆 Nov 1st <a class="button button-inline" href=https://online.kitp.ucsb.edu/online/climate-c21/zanna/>Video</a></li><li><strong>Alistair Adcroft</strong> - <em>Towards using machine learning in real climate models</em>. 💻 🌎 Nov 1st <a class="button button-inline" href=https://online.kitp.ucsb.edu/online/climate-c21/adcroft/>Video</a></li></ul></li><li><strong>Paul O' Gorman</strong> - ESSICUMD: <em>Changing Precipitation and the Potential for Machine Learning To Improve Climate Predictions</em>. 💻 🎆 Oct 14th <a class="button button-inline" href="https://www.youtube.com/watch?v=4evNO_WM5Ko">Video</a></li><li><strong>Pierre Gentine</strong> KGML 2021: <em>Hybrid modeling (Physics + Machine Learning)to improve predictions of the hydrological cycle</em>. 💻 🎆 Aug 13th <a class="button button-inline" href="https://www.youtube.com/watch?v=1wIH_NKU3JE">Video</a></li><li><strong>Joan Bruna</strong> - MSRI Summer School, Mathematics of Deep Learning. 💻 Aug 5-7th <a class="button button-inline" href="https://www.youtube.com/watch?v=ImQ0YHryxfg">Part 1</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=8P6FLdNh7xo&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=20">Part 2</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=iJGq-vcETUQ&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=21">Part 3</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=7TXaQz6jSuM&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=24">Part 4</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=00c168rl-TA&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=25">Part 5</a></li><li><strong>Laure Zanna</strong> - One World Mathematics: <em>Climate Modeling in the Age of Machine Learning</em>. 💻 🎆 July 6th <a class="button button-inline" href="https://www.youtube.com/watch?v=bH_A1nvwiDI">Video</a></li><li><strong>Joan Bruna</strong> - IPAM: <em>Sparse Linear Programming and (simple) neural networks</em>. 💻 Mar 4th <a class="button button-inline" href="https://www.youtube.com/watch?v=zF2boWRsvMU">Video</a></li><li><strong>Joan Bruna</strong> - Paris AI Research Institute: <em>Mathematical aspects of neural network approximation and learning</em>. 💻 Feb 11th <a class="button button-inline" href="https://www.youtube.com/watch?v=CjtXrWJj16c">Video</a></li><li><strong>Ryan Abernathey</strong> - ECMWF: <em>Pangeo Forge</em>. 📊 Feb 10th <a class="button button-inline" href=https://vimeo.com/510830389>Video</a></li><li><strong>Ryan Abernathey</strong> - National Academies &ldquo;Ocean Decade: U.S. Launch Meeting&rdquo;: <em>OceanCloud: Transforming oceanography with a new approach to data and computing</em>. 📊 Feb 4th <a class="button button-inline" href=https://vimeo.com/508434363>Video</a></li><li><strong>Laure Zanna</strong> - 2021 CESM Ocean Model: <em>Discovering equations from data for ocean mesoscale parametrizations</em>. 💻 🎆 Feb 3rd <a class="button button-inline" href="https://youtu.be/9YQnW9ylacU?t=20685">Video</a></li></ul><h2 id=2020><em>2020</em></h2><ul><li><strong>Ryan Abernathey</strong> - JupyterCon 2020: <em>Cloud Native Repositories for Big Scientific Data</em>. 📊 Nov 3rd <a class="button button-inline" href="https://www.youtube.com/watch?v=lg7-qi4dEZ8">Video</a></li><li><strong>Marika Holland</strong> - CAMEE Research Seminar: <em>Using Climate Models to predict changing Arctic sea ice</em>. 🎆 🌎 Oct 23rd <a class="button button-inline" href="https://www.youtube.com/watch?v=RHAMrCs09W4">Video</a></li><li><strong>Laure Zanna</strong> - IMSI: <em>Blending Physics and Machine Learning for Climate Projections</em>. 💻 🎆 Oct 9th <a class="button button-inline" href=https://www.imsi.institute/videos/blending-physics-and-machine-learning-to-improve-climate-projections/>Video</a></li><li><strong>Pierre Gentine</strong> - AI4ESS Summer School: <em>Physics-guided Machine Learning</em>. 💻 🎆 Jun 26th <a class="button button-inline" href="https://www.youtube.com/watch?v=T60OmRD102s">Video</a></li><li><strong>Marika Holland</strong> - M6 L5: <em>Climate Modeling to Understand a Changing Arctic</em>. 🎆 🌎 Mar 17th <a class="button button-inline" href="https://www.youtube.com/watch?v=C1H7MkDTZ7g">Video</a></li></ul><h2 id=2019><em>2019</em></h2><ul><li><strong>Marika Holland</strong> - IASC Medal 2019: <em>Perspectives on Predicting Arctic Sea Ice From Seasons to Centuries</em>. 🎆 🌎 May 31st <a class="button button-inline" href="https://www.youtube.com/watch?v=c-HtcOtgySU&t=48s">Video</a></li><li><strong>Julie Deshayes</strong> - Museum national d&rsquo;Histoire naturelle <em>The Oceanic Change</em> (in French). 🎆 🌎 May 22nd <a class="button button-inline" href="https://www.youtube.com/watch?v=Jl_KeM34gfI">Video</a></li><li><strong>Alistair Adcroft</strong> - 2019 SIAM conference: <em>Challenges in modelling the oceans for climate</em>. 🎆 🌎 Feb <a class="button button-inline" href=https://www.pathlms.com/siam/courses/10878/sections/14374/video_presentations/127453>Video</a></li></ul></div><div class="col-12 col-md-6 mb-2"><p>Your can find most of our past talks, and much more, on our <a class="button button-inline" href=https://www.youtube.com/channel/UCUfOPtnJ3RlT7aOWODNvCmQ>Youtube Channel</a></p><p>Themes of the talks:</p><ul><li>📊 Big data</li><li>💻 Machine Learning</li><li>🎆 Physics discovery</li><li>🌎 Modeling</li></ul><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/css/splide.min.css><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/css/splide-extension-video.min.css><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/js/splide.min.js></script><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/js/splide-extension-video.min.js></script><style>#video-carousel{margin-left:auto;margin-right:auto;max-width:1000px}.video-wrapper{position:relative;width:100%;padding-top:56.25%}.splide__video{position:absolute;top:0;left:0;width:100%;height:100%}p{word-wrap:break-word;overflow-wrap:break-word;white-space:normal}</style><script>document.addEventListener('DOMContentLoaded',function(){var splide=new Splide('#video-carousel',{type:'loop',perPage:1,rewind:true,width:'800px',gap:'1rem',pagination:false,autoplay:false,pauseOnHover:true,});splide.mount(window.splide.Extensions);});</script><div id=video-carousel class=splide><div class=splide__track><ul class=splide__list><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/SRDb7X30DYc?si=GYok6r1Kz8Z-FcPR"></iframe></div><p align=center><strong>Laure Zanna</strong><br><em>Transforming Climate Modeling with AI: hype or Reality?</em><br>UN AI for Good - March 2023 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/bKtuRjxWNYE?si=Z2FccgUAGyS-AG32"></iframe></div><p align=center><strong>Janni Yuval</strong><br><em>Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation</em><br>23rd AMS Conference on Atmospheric and Oceanic Fluid Dynamics - June 2022 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/X3EQg1_-xXU?si=hCf5UVIUwmVmGi8O"></iframe></div><p align=center><strong>Pavel Perezhogin</strong><br><em>Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean<br>model</em><br>NEMO working group on Machine-Learning - April 2023</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/U7RY218Vp0E?si=XM6k703NDHZOb8PD"></iframe></div><p align=center><strong>Aakash Sane</strong><br><em>Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using<br>Neural Networks</em><br>Ocean Sciences Meeting - February 2022 &#128187; &#127878;</p></li></ul></div></div><h1 style=font-family:Helvetica,serif;text-align:center>Recent talks</h1><hr style=width:100%;margin-top:20px;border-color:#333><h2 id=2022><em>2022</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fcMyaTDp2C0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fcMyaTDp2C0/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>On the design strategy of subgrid parameterizations in modern sea ice models</em><br>Arctic Model Parameterization Development - December 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=hcuahoLpDog');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/hcuahoLpDog/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Climate Science and AI in Big Tech</em><br>Climate Change AI Webinar Series - December 15th &#128202; &#128187;<br><em>NOTE</em>: You can find all the talks and posters our members gave at the AGU Fall meeting in our December 2022 <a href=https://mailchi.mp/169d6f0c61f9/m2lines-december-newsletter-agu-special>newsletter</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Physics to Machine Learning and Machine Learning Back to Physics</em><br>Columbia Center of AI Technology - December 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=beO9Zcpa570');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/beO9Zcpa570/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong> and Steven Brunton<br><em>Machine learning in fluid dynamics and climate physics</em><br>Nature Reviews Physics + Alan Turing Institute - October 5th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3y00LhyACV4');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3y00LhyACV4/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Ocean and Climate Modeling: advances, challenges and outlook</em><br>LEAP Seminar - September 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>AI for Climate Physics</em><br>Hammers and Nails - August 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Plenary talk</em><br>SIAM conference on Mathematics for Planet Earth - July 13th &#128187; &#127878; &#127758;<br><em>NOTE</em>: More info at this <a href="https://www.siam.org/conferences/cm/conference/mpe22?_ga=2.193046573.1207615065.1657569935-11076920.1657569935">website</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=q_gGIL-Kvgs&list=PLfdKzSc-V-WAYHR8sPfddkCbnwnfuBb1A&t=11550s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/q_gGIL-Kvgs/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Joint plenary talk with Galen McKinley on M²LInES and LEAP</em><br>2022 CESM Workshop - June 13th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=qRSXSkjvFcE');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/qRSXSkjvFcE/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Mesoscale Closures in Ocean Models</em><br>NCAR Mesoscale & Microscale Meteorology Laboratory - June 2nd &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Can Artificial Intelligence Help Us Better Project Climate Change?</em><br>The Artificial Intelligence for Good Group - May 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://iclr.cc/virtual/2022/workshop/4550');"><a href=# class=fill-div><img src=../../images/talks/AR_22.png alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br>Panel discussion on the future of model interpretability at the ICLR workshop on AI for Earth and Space Science - April 29th<br><em>NOTE</em>: You can find the panel on the top main video at 7:49:25 <a href=https://iclr.cc/virtual/2022/workshop/4550>here </a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=ydiCxUliaG0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/ydiCxUliaG0/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Online implementation of Machine Learning Eddy Parameterizations in a Hierarchy of Ocean Models</em><br>Ocean Sciences Meeting - March 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=M3ypY9vPRpQ');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/M3ypY9vPRpQ/0.jpg alt="Video Preview"></a></div></div><p><strong>Mitch Bushuk</strong><br><em>Mechanisms of Regional Arctic Sea Ice Predictability in Dynamical Seasonal Forecast Systems</em><br>Ocean Sciences Meeting - March 3rd &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud: A New Approach to Ocean Data and Computing</em><br>Ocean Sciences Meeting - March 3rd &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3SYWCtuzrKk');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3SYWCtuzrKk/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>A machine learning correction model for the warm bias over Arctic sea ice in atmospheric reanalyses</em><br>Ocean Sciences Meeting - March 1st &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=gTOzmE7_-mU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/gTOzmE7_-mU/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Tracer Ventilation, Stirring, and Variability in the Antarctic Circumpolar Current</em><br>Ocean Sciences Meeting - March 1st &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=pCdiWFwICr0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/pCdiWFwICr0/0.jpg alt="Video Preview"></a></div></div><p><strong>Brandon Reichl</strong><br><em>A potential energy analysis of ocean surface mixed layers</em><br>Ocean Sciences Meeting - February 28th</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fIIAqrFOUSM');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fIIAqrFOUSM/0.jpg alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br><em>Evaluating machine learning parameterizations of ocean subgrid forcing</em><br>Ocean Sciences Meeting - February 28th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=OKZl9IjWSHA');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/OKZl9IjWSHA/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Direct observational estimate of the dual kinetic energy cascade and its seasonality at the surface ocean from surface drifters</em><br>Ocean Sciences Meeting - February 28th &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://vimeo.com/670782104');"><a href=# class=fill-div><img src=../../images/talks/RA_22.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud - Transforming oceanography with a new approach to data and computing</em><br>Ocean Data Conference - February 15th &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=X3EQg1_-xXU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/X3EQg1_-xXU/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 10th &#128202; &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=JB7LpUJlxc0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/JB7LpUJlxc0/1.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Data-driven turbulence closures for ocean and climate models: advances and challenges</em><br>UW Data-driven methods in science and engineering seminar - February 4th &#128187; &#127878;</p></div></div></div></div></div><div class=footer><div class=container><div class=row><div class=col-12><div class=footer-inner><ul><li class=logof><a href=https://schmidtfutures.com/ target=blank><img src=https://m2lines.github.io/images/Schmidt-Futures-Logo-small.jpg></a></li><li class=copyright>This project is supported by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt that bets early on exceptional people making the world better, particularly through innovative breakthroughs in science and technology.</li></ul></div></div></div></div></div><div class=sub-footer><div class=container><div class=row><div class=col-12><div class=sub-footer-inner><div class=social><a href=mailto:m2lines@nyu.edu target=blank><img src=../../images/PICOL_icon_Mailw.png title=Email alt=Email></a>
+. In particular:<ul><li><strong>Laure Zanna</strong> - <em>Machine Learning for Ocean Closures: Advances and Lessons</em>. 💻 🎆 Nov 1st <a class="button button-inline" href=https://online.kitp.ucsb.edu/online/climate-c21/zanna/>Video</a></li><li><strong>Alistair Adcroft</strong> - <em>Towards using machine learning in real climate models</em>. 💻 🌎 Nov 1st <a class="button button-inline" href=https://online.kitp.ucsb.edu/online/climate-c21/adcroft/>Video</a></li></ul></li><li><strong>Paul O' Gorman</strong> - ESSICUMD: <em>Changing Precipitation and the Potential for Machine Learning To Improve Climate Predictions</em>. 💻 🎆 Oct 14th <a class="button button-inline" href="https://www.youtube.com/watch?v=4evNO_WM5Ko">Video</a></li><li><strong>Pierre Gentine</strong> KGML 2021: <em>Hybrid modeling (Physics + Machine Learning)to improve predictions of the hydrological cycle</em>. 💻 🎆 Aug 13th <a class="button button-inline" href="https://www.youtube.com/watch?v=1wIH_NKU3JE">Video</a></li><li><strong>Joan Bruna</strong> - MSRI Summer School, Mathematics of Deep Learning. 💻 Aug 5-7th <a class="button button-inline" href="https://www.youtube.com/watch?v=ImQ0YHryxfg">Part 1</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=8P6FLdNh7xo&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=20">Part 2</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=iJGq-vcETUQ&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=21">Part 3</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=7TXaQz6jSuM&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=24">Part 4</a> <a class="button button-inline" href="https://www.youtube.com/watch?v=00c168rl-TA&list=PLTPQEx-31JXhguCush5J7OGnEORofoCW9&index=25">Part 5</a></li><li><strong>Laure Zanna</strong> - One World Mathematics: <em>Climate Modeling in the Age of Machine Learning</em>. 💻 🎆 July 6th <a class="button button-inline" href="https://www.youtube.com/watch?v=bH_A1nvwiDI">Video</a></li><li><strong>Joan Bruna</strong> - IPAM: <em>Sparse Linear Programming and (simple) neural networks</em>. 💻 Mar 4th <a class="button button-inline" href="https://www.youtube.com/watch?v=zF2boWRsvMU">Video</a></li><li><strong>Joan Bruna</strong> - Paris AI Research Institute: <em>Mathematical aspects of neural network approximation and learning</em>. 💻 Feb 11th <a class="button button-inline" href="https://www.youtube.com/watch?v=CjtXrWJj16c">Video</a></li><li><strong>Ryan Abernathey</strong> - ECMWF: <em>Pangeo Forge</em>. 📊 Feb 10th <a class="button button-inline" href=https://vimeo.com/510830389>Video</a></li><li><strong>Ryan Abernathey</strong> - National Academies &ldquo;Ocean Decade: U.S. Launch Meeting&rdquo;: <em>OceanCloud: Transforming oceanography with a new approach to data and computing</em>. 📊 Feb 4th <a class="button button-inline" href=https://vimeo.com/508434363>Video</a></li><li><strong>Laure Zanna</strong> - 2021 CESM Ocean Model: <em>Discovering equations from data for ocean mesoscale parametrizations</em>. 💻 🎆 Feb 3rd <a class="button button-inline" href="https://youtu.be/9YQnW9ylacU?t=20685">Video</a></li></ul><h2 id=2020><em>2020</em></h2><ul><li><strong>Ryan Abernathey</strong> - JupyterCon 2020: <em>Cloud Native Repositories for Big Scientific Data</em>. 📊 Nov 3rd <a class="button button-inline" href="https://www.youtube.com/watch?v=lg7-qi4dEZ8">Video</a></li><li><strong>Marika Holland</strong> - CAMEE Research Seminar: <em>Using Climate Models to predict changing Arctic sea ice</em>. 🎆 🌎 Oct 23rd <a class="button button-inline" href="https://www.youtube.com/watch?v=RHAMrCs09W4">Video</a></li><li><strong>Laure Zanna</strong> - IMSI: <em>Blending Physics and Machine Learning for Climate Projections</em>. 💻 🎆 Oct 9th <a class="button button-inline" href=https://www.imsi.institute/videos/blending-physics-and-machine-learning-to-improve-climate-projections/>Video</a></li><li><strong>Pierre Gentine</strong> - AI4ESS Summer School: <em>Physics-guided Machine Learning</em>. 💻 🎆 Jun 26th <a class="button button-inline" href="https://www.youtube.com/watch?v=T60OmRD102s">Video</a></li><li><strong>Marika Holland</strong> - M6 L5: <em>Climate Modeling to Understand a Changing Arctic</em>. 🎆 🌎 Mar 17th <a class="button button-inline" href="https://www.youtube.com/watch?v=C1H7MkDTZ7g">Video</a></li></ul><h2 id=2019><em>2019</em></h2><ul><li><strong>Marika Holland</strong> - IASC Medal 2019: <em>Perspectives on Predicting Arctic Sea Ice From Seasons to Centuries</em>. 🎆 🌎 May 31st <a class="button button-inline" href="https://www.youtube.com/watch?v=c-HtcOtgySU&t=48s">Video</a></li><li><strong>Julie Deshayes</strong> - Museum national d&rsquo;Histoire naturelle <em>The Oceanic Change</em> (in French). 🎆 🌎 May 22nd <a class="button button-inline" href="https://www.youtube.com/watch?v=Jl_KeM34gfI">Video</a></li><li><strong>Alistair Adcroft</strong> - 2019 SIAM conference: <em>Challenges in modelling the oceans for climate</em>. 🎆 🌎 Feb <a class="button button-inline" href=https://www.pathlms.com/siam/courses/10878/sections/14374/video_presentations/127453>Video</a></li></ul></div><div class="col-12 col-md-6 mb-2"><p>Your can find most of our past talks, and much more, on our <a class="button button-inline" href=https://www.youtube.com/channel/UCUfOPtnJ3RlT7aOWODNvCmQ>Youtube Channel</a></p><p>Themes of the talks:</p><ul><li>📊 Big data</li><li>💻 Machine Learning</li><li>🎆 Physics discovery</li><li>🌎 Modeling</li></ul><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/css/splide.min.css><link rel=stylesheet href=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/css/splide-extension-video.min.css><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide/dist/js/splide.min.js></script><script src=https://cdn.jsdelivr.net/npm/@splidejs/splide-extension-video/dist/js/splide-extension-video.min.js></script><style>#video-carousel{margin-left:auto;margin-right:auto;max-width:1000px}.video-wrapper{position:relative;width:100%;padding-top:56.25%}.splide__video{position:absolute;top:0;left:0;width:100%;height:100%}p{word-wrap:break-word;overflow-wrap:break-word;white-space:normal}</style><script>document.addEventListener('DOMContentLoaded',function(){var splide=new Splide('#video-carousel',{type:'loop',perPage:1,rewind:true,width:'800px',gap:'1rem',pagination:false,autoplay:false,pauseOnHover:true,});splide.mount(window.splide.Extensions);});</script><div id=video-carousel class=splide><div class=splide__track><ul class=splide__list><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/oiIiWwm7iNM?si=SbFdl4Ovoe-9UJc-"></iframe></div><p align=center><strong>Laure Zanna</strong><br><em>Accelerating Discovery in Climate Physics with Machine Learning</em><br>Simons foundation Presidential Lecture - February 2024 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/PbcFWN5dtJc?si=Vb8WLHSDMhEIFyfn"></iframe>></iframe></div><p align=center><strong>Paul O'Gorman</strong><br><em>MIT's BC3 and Climate and Weather Extremes</em><br>ICCS Cross VESRI Journal - February 2024 &#128187; &#127878;</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/EfGNoRIzq4M?si=xeZUktdxbfTTl5-B"></iframe></div><p align=center><strong>Will Chapman</strong><br><em>Advancing Weather and Climate Prediction with Data Driven Methods</em><br>Paul G. Allen School - February 2024</p></li><li class=splide__slide><div class=video-wrapper><iframe class=splide__video src="https://www.youtube.com/embed/1esiBpicss4?si=-ZnmyagFdZnxr6u6"></iframe></div><p align=center><strong>Laure Zanna</strong><br><em>A New Generation of Global Climate Models Augmented by AI</em><br>Distinguished Seminar Series in Computational Science and Engineering - October 2023 &#128187; &#127878;</p></li></ul></div></div><h1 style=font-family:Helvetica,serif;text-align:center>Recent talks</h1><hr style=width:100%;margin-top:20px;border-color:#333><h2 id=2024><em>2024</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=FEmuUlVvTuw');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/FEmuUlVvTuw/0.jpg alt="Video Preview"></a></div></div><p><strong>Aakash Sane</strong><br><em>Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer Using Neural Networks</em><br>CESM OMWG - February &#128187; &#127878;</p></div><h2 id=2023><em>2023</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=GVaFjoiB4I4&t=10519s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/GVaFjoiB4I4/0.jpg alt="Video Preview"></a></div></div><p><strong>Pavel Perezhogin</strong><br><em>Machine-Learned parameterizations of mesoscale eddies in MOM6 ocean model: convolutional neural network and symbolic regression</em><br>28th Annual CESM Workshop - June &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=6lqkFuLI0ms');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/6lqkFuLI0ms/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Ocean and Atmosphere Dynamics</em><br>Climatematch academy - July &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=Tya7d0tfpb0&t=1743s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/Tya7d0tfpb0/0.jpg alt="Video Preview"></a></div></div><p><strong>Fabrizio Falasca</strong><br><em>Exploting the nonstationarity of coastal sea level probability distributions</em><br>NOAA-CVP Webinar Series 2023 - April &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=AIgTy033-A4');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/AIgTy033-A4/0.jpg alt="Video Preview"></a></div></div><p><strong>Paul O'Gorman</strong><br><em>Improving climate models using machine learning</em><br>MIT Generative AI Week - November &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=SRDb7X30DYc');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/SRDb7X30DYc/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Transforming Climate Modeling with AI: hype or Reality?</em><br>UN AI for Good - March &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=X3EQg1_-xXU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/X3EQg1_-xXU/0.jpg alt="Video Preview"></a></div></div><p><strong>Pavel Perezhogin</strong><br><em>Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model</em><br>NEMO working group on Machine-Learning - April &#128187; &#127878;</p></div><h2 id=2022><em>2022</em></h2><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=bKtuRjxWNYE');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/bKtuRjxWNYE/0.jpg alt="Video Preview"></a></div></div><p><strong>Janni Yuval</strong><br><em>Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation</em><br>23rd AMS Conference on Atmospheric and Oceanic Fluid Dynamics - June &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=U7RY218Vp0E');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/U7RY218Vp0E/0.jpg alt="Video Preview"></a></div></div><p><strong>Aakash Sane</strong><br><em>Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using Neural Networks</em><br>February &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fcMyaTDp2C0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fcMyaTDp2C0/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>On the design strategy of subgrid parameterizations in modern sea ice models</em><br>Arctic Model Parameterization Development - December 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=hcuahoLpDog');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/hcuahoLpDog/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Climate Science and AI in Big Tech</em><br>Climate Change AI Webinar Series - December 15th &#128202; &#128187;<br><em>NOTE</em>: You can find all the talks and posters our members gave at the AGU Fall meeting in our December 2022 <a href=https://mailchi.mp/169d6f0c61f9/m2lines-december-newsletter-agu-special>newsletter</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Physics to Machine Learning and Machine Learning Back to Physics</em><br>Columbia Center of AI Technology - December 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=beO9Zcpa570');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/beO9Zcpa570/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong> and Steven Brunton<br><em>Machine learning in fluid dynamics and climate physics</em><br>Nature Reviews Physics + Alan Turing Institute - October 5th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3y00LhyACV4');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3y00LhyACV4/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Ocean and Climate Modeling: advances, challenges and outlook</em><br>LEAP Seminar - September 22nd &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>AI for Climate Physics</em><br>Hammers and Nails - August 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Plenary talk</em><br>SIAM conference on Mathematics for Planet Earth - July 13th &#128187; &#127878; &#127758;<br><em>NOTE</em>: More info at this <a href="https://www.siam.org/conferences/cm/conference/mpe22?_ga=2.193046573.1207615065.1657569935-11076920.1657569935">website</a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=q_gGIL-Kvgs&list=PLfdKzSc-V-WAYHR8sPfddkCbnwnfuBb1A&t=11550s');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/q_gGIL-Kvgs/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Joint plenary talk with Galen McKinley on M²LInES and LEAP</em><br>2022 CESM Workshop - June 13th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=qRSXSkjvFcE');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/qRSXSkjvFcE/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Machine Learning for Mesoscale Closures in Ocean Models</em><br>NCAR Mesoscale & Microscale Meteorology Laboratory - June 2nd &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Can Artificial Intelligence Help Us Better Project Climate Change?</em><br>The Artificial Intelligence for Good Group - May 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://iclr.cc/virtual/2022/workshop/4550');"><a href=# class=fill-div><img src=../../images/talks/AR_22.png alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br>Panel discussion on the future of model interpretability at the ICLR workshop on AI for Earth and Space Science - April 29th<br><em>NOTE</em>: You can find the panel on the top main video at 7:49:25 <a href=https://iclr.cc/virtual/2022/workshop/4550>here </a>.</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=ydiCxUliaG0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/ydiCxUliaG0/0.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Online implementation of Machine Learning Eddy Parameterizations in a Hierarchy of Ocean Models</em><br>Ocean Sciences Meeting - March 4th &#128187; &#127878; &#127758;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=M3ypY9vPRpQ');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/M3ypY9vPRpQ/0.jpg alt="Video Preview"></a></div></div><p><strong>Mitch Bushuk</strong><br><em>Mechanisms of Regional Arctic Sea Ice Predictability in Dynamical Seasonal Forecast Systems</em><br>Ocean Sciences Meeting - March 3rd &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud: A New Approach to Ocean Data and Computing</em><br>Ocean Sciences Meeting - March 3rd &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=3SYWCtuzrKk');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/3SYWCtuzrKk/0.jpg alt="Video Preview"></a></div></div><p><strong>Lorenzo Zampieri</strong><br><em>A machine learning correction model for the warm bias over Arctic sea ice in atmospheric reanalyses</em><br>Ocean Sciences Meeting - March 1st &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=gTOzmE7_-mU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/gTOzmE7_-mU/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Tracer Ventilation, Stirring, and Variability in the Antarctic Circumpolar Current</em><br>Ocean Sciences Meeting - March 1st &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=pCdiWFwICr0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/pCdiWFwICr0/0.jpg alt="Video Preview"></a></div></div><p><strong>Brandon Reichl</strong><br><em>A potential energy analysis of ocean surface mixed layers</em><br>Ocean Sciences Meeting - February 28th</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=fIIAqrFOUSM');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/fIIAqrFOUSM/0.jpg alt="Video Preview"></a></div></div><p><strong>Andrew Ross</strong><br><em>Evaluating machine learning parameterizations of ocean subgrid forcing</em><br>Ocean Sciences Meeting - February 28th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=OKZl9IjWSHA');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/OKZl9IjWSHA/0.jpg alt="Video Preview"></a></div></div><p><strong>Dhruv Balwada</strong><br><em>Direct observational estimate of the dual kinetic energy cascade and its seasonality at the surface ocean from surface drifters</em><br>Ocean Sciences Meeting - February 28th &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://vimeo.com/670782104');"><a href=# class=fill-div><img src=../../images/talks/RA_22.png alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>OpenOceanCloud - Transforming oceanography with a new approach to data and computing</em><br>Ocean Data Conference - February 15th &#128202;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=X3EQg1_-xXU');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/X3EQg1_-xXU/0.jpg alt="Video Preview"></a></div></div><p><strong>Ryan Abernathey</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 10th &#128202; &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div><a href=# class=fill-div><img src=../../images/newlogo.png alt="Video Preview"></a></div></div><p><strong>Pierre Gentine</strong><br><em>Workshop AI for Earth Sciences</em><br>The National Academies Board on Atmospheric Sciences and Climate - February 7th &#128187; &#127878;</p></div><div style=display:flex;align-items:center><div style=width:100px;height:100px;overflow:hidden;margin-right:10px><div onclick="window.open('https://www.youtube.com/watch?v=JB7LpUJlxc0');"><a href=# class=fill-div><img src=https://img.youtube.com/vi/JB7LpUJlxc0/1.jpg alt="Video Preview"></a></div></div><p><strong>Laure Zanna</strong><br><em>Data-driven turbulence closures for ocean and climate models: advances and challenges</em><br>UW Data-driven methods in science and engineering seminar - February 4th &#128187; &#127878;</p></div></div></div></div></div><div class=footer><div class=container><div class=row><div class=col-12><div class=footer-inner><ul><li class=logof><a href=https://schmidtfutures.com/ target=blank><img src=https://m2lines.github.io/images/Schmidt-Futures-Logo-small.jpg></a></li><li class=copyright>This project is supported by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt that bets early on exceptional people making the world better, particularly through innovative breakthroughs in science and technology.</li></ul></div></div></div></div></div><div class=sub-footer><div class=container><div class=row><div class=col-12><div class=sub-footer-inner><div class=social><a href=mailto:m2lines@nyu.edu target=blank><img src=../../images/PICOL_icon_Mailw.png title=Email alt=Email></a>
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