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KITP Conference: Machine Learning for Climate
(Nov 1-4, 2021)
Coordinators: Henk A. Dijkstra, Claire Monteleoni, and Laure Zanna

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Conference Overview | talks | PodcastXML | Schedule | PDF Schedule | Program Overview

Monday, Nov 01, 2021

8:50am Lars Bildsten (KITP Director) Welcome[Video][CC]
9:00am Steven Brunton (U Washington) Interpretable and Generalizable Machine Learning for Fluid Dynamics[Slides][Video][CC]
9:45am Rose Yu (UC San Diego) Physics-Guided Deep Learning for Fluid Dynamics[Slides][Video][CC]
10:30am

Morning Break

11:00am Laure Zanna (NYU) Machine Learning for Ocean Closures: Advances and Lessons[Video][CC]
11:45am Pedram Hassanzadeh (Rice) Data-driven subgrid-scale modeling: Stability, extrapolation, and interpretation[Slides][Video][CC]
12:30pm

Lunch Break

2:00pm Jaideep Pathak (LBNL) Data-driven and data-assisted modeling for applications in fluid dynamics and geophysics[Video][CC]
2:45pm Navid Constantinou (ANU) A data-driven approach for developing and calibrating a parameterization of the ocean mesoscale eddy fluxes[Slides][Video][CC]
3:30pm

Afternoon Break

4:00pm Alistair Adcroft (Princeton) Towards using machine learning in real climate models[Slides][Video][CC]
4:45pm Aneesh Subramanian (CU Boulder) Exploring physical and Machine Learning approaches for stochastic modeling and ensemble prediction of weather and climate[Video][CC]
5:30pm

RECEPTION

6:00pm

SPECIAL EVENTS DINNER

8:00pm

SHUTTLE TO BWSCI

Tuesday, Nov 02, 2021

9:00am Gus Camps-Valls (U de València) Gaussianizing the Earth[Slides][Video][CC]
9:45am Christian Lessig (U Magdeburg) Representation learning and custom loss functions for atmospheric data[Slides][Video][CC]
10:30am

Morning Break

11:00am Jakob Runge (DLR) Causal inference for Earth system sciences[Video][CC]
11:45am Claire Monteleoni (CU Boulder) Deep Unsupervised Learning for Climate Informatics[Slides][Video][CC]
12:30pm

Lunch Break

2:00pm Maike Sonnewald (Princeton) Revealing the Impact of Global Heating on the Meridional Overturning Circulation with transparent machine learning[Video][CC]
2:45pm Bryan Kaiser (LANL) Objective discovery of dominant dynamical regimes[Video][CC]
3:30pm

Afternoon Break

4:00pm Dorit Hammerling (Mines) Contained Chaos: Ensemble Consistency Testing for the Community Earth System Model[Video][CC]
4:45pm Maria Molina (NCAR) Deep Learning for Subseasonal Global Precipitation Prediction[Slides][Video][CC]
5:30pm

RECEPTION

6:00pm

SPECIAL EVENTS DINNER

8:00pm

SHUTTLE TO BWSCI

Wednesday, Nov 03, 2021

9:00am Elizabeth Barnes (Colorado State) Benefits of saying I Don't Know when analyzing and modeling the climate system with ML[Video][CC]
9:45am Abigail S Bodner (NYU) Relating coastal sea level to its drivers in the interior[Slides][Video][CC]
10:30am

Morning Break

11:00am Henk Dijkstra (Utrecht U) Skillful El Nino prediction beyond predictability barriers[Video][CC]
11:45am Duncan Watson-Parris (Oxford) Earth System Emulation[Video][CC]
12:30pm

Lunch Break

2:00pm Tapio Schneider (Caltech) How to calibrate climate models with diverse data: an example from cloud parameterizations[Video][CC]
2:45pm Robert Pincus (LDEO) Atmospheric radiation: using machine learning for the unknowable and uncomputable[Slides][Video][CC]
3:30pm

Afternoon Break

4:00pm Mike Pritchard (UCI) Lessons and outlook for ML parameterization of sub grid atmospheric physics from the vantage of emulating cloud superparameterization[Video][CC]
4:45pm Aditi Sheshadri (Stanford) A deep learning parameterization of gravity wave drag coupled to an atmospheric global climate model[Video][CC]
5:30pm

RECEPTION

6:00pm

SPECIAL EVENTS DINNER

8:00pm

SHUTTLE TO BWSCI

Thursday, Nov 04, 2021

9:00am Amy Mc Govern (Oklahoma) Using AI to Facilitate Environmental Justice: The Need for Ethical and Responsible AI for Weather and Climate[Video][CC]
9:45am Antoine Blanchard (AIR Worldwide) Debiasing coarse-scale climate models using statistically consistent neural networks[Video][CC]
10:30am

Morning Break

11:00am Jacquelyn Shelton
(Hong Kong Polytechnic U)
Deep learning and energy models for fine dead wood segmentation[Video][CC]
11:45am Katie Dagon (NCAR) Machine Learning and Earth System Modeling: from parameter calibration to feature detection[Slides][Video][CC]
12:30pm

Lunch Break

2:00pm Donata Giglio (CU Boulder) Estimating Oxygen in the Southern Ocean using Argo Temperature and Salinity[Video]
2:45pm Annalisa Bracco (Georgia Tech) Manifold learning as a tool to link AI/ML and climate dynamics[Slides][Video]
3:30pm

CONFERENCE END SHUTTLE TO BWSCI *Also available to SB Airport and SB Airbus, Goleta location. (See Registration Desk BEFORE THURSDAY to sign up.)

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