PAST EVENTS
Fall 2024
Fall Lecture in Climate Data Science: Research Update
Thursday || November 21, 2024 || 12:00pm
ARVIND RENGANATHAN (Univ. of Minnesota)
“Advancing Environmental Modeling with Knowledge-Guided Encoder-Decoder Frameworks”
YouTube link forthcoming
Fall Lecture in Climate Data Science
Thursday || November 14, 2024 || 12:00pm
JANNI YUVAL (Google Research)
“Neural General Circulation Models for Weather + Climate”
YouTube link forthcoming
Fall Lecture in Climate Data Science: Research Update
Thursday || November 7, 2024 || 12:00pm
THEA HEIMDAL (Columbia) + ABBY SHAUM (Columbia)
“Using CMIP6 Models to Better Understand the Ocean Carbon Sink”
YouTube link forthcoming
Fall Lecture in Climate Data Science
Thursday || October 31, 2024 || 12:00pm
ROBERT PINCUS (Columbia)
“Shaping the Future of Data, Computation, and Collaboration at LEAP”
Fall Lecture in Climate Data Science: Research Update
Thursday || October 24, 2024 || 12:00pm
SHAWN LI (Columbia)
“A Distribution-Driven Probabilistic Data Assimilation Framework for Climate Science”
Fall Lecture in Climate Data Science
Thursday || October 10, 2024 || 12:00pm
BIN YU (Berkeley)
“Interpreting Deep Learning Models”
Fall Lecture in Climate Data Science: Research Update
Thursday || October 3, 2024 || 12:00pm
MAGGIE POWELL (Columbia)
“Leveraging Subgrid-Scale Spatial Organization and Variability for Improved Cloud Fraction Parameterization Using PINACLES Simulations”
Fall Lecture in Climate Data Science: Climate Week at Columbia Engineering
Thursday || September 26, 2024 || 12:00pm
“Climate Change and Flood Risk: A Panel”
Panelists:
- George Deodatis (Vice Dean of Research for Columbia Engineering, Santiago and Robertina Calatrava Family Professor of Civil Engineering and Professor of Earth and Environmental Engineering, Columbia University)
- Candace Agonafir (Postdoctoral Research Scientist, Columbia Water Center)
- Fatoumata Camara (SP^2 Science Pathways Scholar, Barnard College)
- Adam Nayak (PhD Student, Earth and Environmental Engineering, Columbia University)
Facilitator:
- Savannah Thais (Associate Research Scientist, Data Science Institute, Columbia University)
Fall Lecture in Climate Data Science
Thursday || September 19, 2024 || 12:00pm
BRIAN MEDEIROS (NCAR)
“Hops, Skips, and Jumps: Development Activities Around CAM7”
Fall Lecture in Climate Data Science
Thursday || September 12, 2024 || 12:00pm
ANDRE PERKINS (Allen Institute for AI)
“ACEv2 and the New Frontier of AI-Based Emulators for Climate Simulation”
Fall Lecture in Climate Data Science: Research Update
Thursday || September 5, 2024 || 12:00pm
JULIA SIMPSON (Columbia)
“Improving Parameterizations of Heat + Momentum Air-Sea Fluxes”
Summer Lecture in Climate Data Science
Thursday || August 1, 2024 || 12:00pm
GENEVA LIST (Columbia): “Landscape Assessment of AI for Climate and Nature” YouTube link
Summer Lecture in Climate Data Science
Thursday || July 25, 2024 || 12:00pm
MARCUS van LIER-WALQUI (Columbia): “Data-Driven Constraint of Cloud Microphysics Uncertainty at Global and Process-Level Scales”
YouTube link
Summer Lecture in Climate Data Science
Thursday || July 18, 2024 || 12:00pm
CHAD SMALL (Univ. of Washington): “The Art (and Science) of Science Communication for Earth Scientists”
YouTube link
2024 Summer Institute: Integrating Climate Education in NYC Public Schools
Monday || July 15, 2024 – Friday || July 19, 2024
Summer Lecture in Climate Data Science
Thursday || July 11, 2024 || 12:00pm
JOSH DeVINCENZO (NCDP / Columbia): “Climate, Mental Models, and Data for Disaster Preparedness”
YouTube link
Summer Lecture in Climate Data Science
Thursday || June 13, 2024 || 3:00pm
COURTNEY COGBURN (Columbia): “Climate, Science, and Social Justice”
Summer Lecture in Climate Data Science
Thursday || May 30, 2024 || 12:00pm
JULIUS BUSECKE (Columbia) + TIM HERMANS (Utrecht): “Projecting Changes in the Drivers of Compound Flooding in Europe Using CMIP6 Models”
2024 Summer Education Programs: REU + Momentum Fellowship
May 27 – August 2, 2024
RESEARCH PRESENTATIONS
Project 1: “Quantifying Epistemic + Aleatoric Uncertainty in Climate Data”
– Jimeng Shi (Momentum Fellow); Omar Abdel Azim, Mia Montrose (REU)
Project 2: “Understanding + Modeling Turbulent Flow in the Atmosphere”
– Antony Sikorski (Momentum Fellow); Laura Pong, Greta Van Zetten (REU)
Project 3: “Analysis of Climate Model Perturbed Physics Ensembles”
– Kyle McEvoy (Momentum Fellow); Nicoline Joenson, Anthony Guzman (REU)
Project 4: “Understanding Ice Crystal Growth + Evolution in the Atmosphere”
– Obin Sturm (Momentum Fellow); Patrick Dicus, Ashley Nguyen (REU)
Project 5: “Understanding + Modeling the Impact of Air-Sea Heterogeneity on Surface Fluxes”
– Prani Nalluri (Momentum Fellow); Jack Alfandre, Tony Manriquez (REU)
Spring Lecture in Climate Data Science: Research Updates
Thursday || May 9, 2024 || 12:00pm
YONGQUAN QU (Columbia): “Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming”
JIARONG WU (NYU): “Data-driven probabilistic air-sea flux model using in-situ direct measurements”
Spring Lecture in Climate Data Science
Thursday || April 25, 2024 || 3:00pm
IGNACIO LOPEZ-GOMEZ (Google): “Generative Emulation of Weather Forecast Ensembles with Diffusion Models”
YouTube link
Spring Lecture in Climate Data Science
Thursday || April 25, 2024 || 12:00pm
CHAD SMALL (Univ. of Washington): “Madden-Julian Oscillation and Atmospheric Rivers: Toward a New Paradigm for S2S Forecast of High-Impact Weather Extremes”
YouTube link
Spring Lecture in Climate Data Science: Research Updates
Thursday || April 11, 2024 || 12:00pm
AYA LAHLOU (Columbia): “Modeling phenology under climate change using deep learning”
DION HO (Columbia): “Data science and physical modeling of energy flows in the atmosphere”
Spring Lecture in Climate Data Science
Thursday || March 26, 2024 || 12:00pm
ANDREW GETTELMAN (PNNL): “‘Machine’ Learning Cloud Physics: Where Do We Stand?”
YouTube link
Spring Lecture in Climate Data Science: Research Updates
Thursday || March 14, 2024 || 12:00pm
FLORENCIO PORTOCARRERO (Columbia Business School): “Communication Frames and Actors’ Responses to Sustainability- and Climate-related Information” YouTube link
JAEYOUNG JUNG (Columbia): “A Multiscale Framework for Airflow-Canopy Interaction” YouTube link
LEAP ML Climate Journal Club
Thursday || March 7, 2024 || 12:00pm
OBIN STURM (USC): “Conservation Laws in a Neural Network Architecture: A Flux-based Framework for Physically Consistent Hard Constraints in Machine Learning Models”
YouTube link
Spring Lecture in Climate Data Science
Thursday || February 29, 2024 || 12:00pm
RYAN ABERNATHY (Columbia): “The Future of Earth-System Data Infrastructure”
YouTube link
Spring Lecture in Climate Data Science: Research Updates
Thursday || February 15, 2024 || 12:00pm
SUNGDUK YU (UC Irvine): “ClimSim2: Coupling Global Climate Models with Neural Network Cloud Emulators” YouTube link
QINGYUAN YANG (Columbia): “Flexible Use of Additive Gaussian Processes as a Powerful Tool for More Interpretable Analysis and Emulation of Climate Model PPEs” YouTube link
Spring Lecture in Climate Data Science
Thursday || February 1, 2024 || 12:00pm
CARL VONDRICK (Columbia): “Multimodal Learning from Pixels to People”
YouTube link
LEAP ML Climate Journal Club
Friday || January 26, 2024 || 11:00am
SYLWESTER ARABAS (Univ. of Krakow): “PyPartMC Aerosol Dynamics Package: Engineering Python-to-Fortran Bindings in C++ for Use in Julia and Matlab”
YouTube link
Spring Lecture in Climate Data Science: Research Updates
Thursday || January 18, 2024 || 12:00pm
MOHAMMED AZIZ BHOURI (Columbia): “Multi-fidelity climate model parameterization for extrapolation beyond training data” YouTube link
KAITLYN LOFTUS (Columbia): “Parameterizing cloud microphysics with machine learning-enabled Bayesian parameter influence” YouTube link
2024 Winter Momentum Bootcamp
Wednesday || January 10, 2024 – Thursday || January 11, 2024
Details
Fall Lecture in Climate Data Science
Thursday || November 16, 2023 || 3:30pm
MARIANA CLARE (ECMWF): “The Rise of Machine Learning in Weather Forecasting”
Fall Lecture in Climate Data Science: Research Updates
Thursday || November 16, 2023 || 3:30pm
CANDACE AGONAFIR (Columbia): “Recent Advances in Urban Flooding Research”
CHRISTINA TORRES / NOA URBACH (Teachers College): “New York City Educators’ Perceptions of Students’ Engagement with Climate Change”
LEAP ML Climate Journal Club
Thursday || October 26, 2023 || 3:30pm
BLANKA BALOGH (Météo-France / Columbia): “Calibrating a Dynamical System with Neural Network Based Physics”
Fall Lecture in Climate Data Science
Thursday || November 2, 2023 || 3:30pm
ADITYA GROVER (UCLA): “ClimaX: A Foundation Model for Weather and Climate”
YouTube Link
LEAP ML Climate Journal Club
Thursday || October 26, 2023 || 3:30pm
PAULA HARDER (Fraunhofer ITWM): “Physics-Constrained Deep Learning for Downscaling and Emulation”
YouTube link
LEAP Year 3 Annual Meeting
Sunday || October 15, 2023 – Tuesday || October 17, 2023
Details
LEAP ML Climate Journal Club
Thursday || October 12, 2023 || 3:30pm
EMILIANO DÍAZ (Univ. of Valencia): “Identifying the Causes of Pyrocumulonimbus (PyroCb)”
Fall Lecture in Climate Data Science
Thursday || October 5, 2023 || 3:30pm
JIAN PEI (Duke): “Data Valuation in Federated Learning”
YouTube link
LEAP ML Climate Journal Club
Thursday || September 28, 2023 || 3:30pm
LILY-BELLE SWEET (UFZ): “Cross-validation Strategy Impacts the Performance and Interpretation of Machine Learning Models”
YouTube link
Fall Lecture in Climate Data Science
Thursday || September 21, 2023 || 3:30pm
PO-LUN MA (PNNL): “Improving Aerosol in an Earth System Model with AI / ML”
YouTube link
Fall Lecture in Climate Data Science: Research Updates
Thursday || September 7, 2023 || 3:30pm
LINNIA HAWKINS (NCAR/Columbia): “Community Land Model Parameter Estimation” YouTube link
JOSEPH KO (Columbia): “3D Reconstruction + Unsupervised Clustering of Ice Crystal Particles to Inform Depositional Growth Parameterizations” YouTube link
LEAP ML Journal Club
Thursday || August 31, 2023 || 3:30pm
KARAN JAKHAR (Rice): “Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges”
LEAP ML Journal Club
Thursday || August 17, 2023 || 3:30pm
TAKUYA KURIHANA (Univ. of Chicago): “Self-supervised Learning-based Applications Toward Democratization of Multi-decades of MODIS Cloud Images”
2023 REU Research Presentations + Closing Reception
Thursday || July 27, 2023 || 1:00pm
2023 SUMMER REU PRESENTATIONS
Samarth Agrawal: “Capturing Convective Atmospheric Profiles Using Variational Encoder-Decoders”
Thomas Chen: “Visualizing Interpretability for Precipitation Prediction Using Shapley Additive Explanations”
Mark Irby-Gill: “Evaluating XGBoost as a Baseline Model for Spatially-Informed Precipitation Predictions”
Rebecca Porter: “Exploring Data-driven Equation Discovery to Model Moisture Flux”
Amanda Sun: “Improving Subgrid-Parameterization with Causal Discovery”
Subashree Venkatasubramanian: “A Bayesian-Gamma Deep Learning Approach to Capture Heavy-Tailed Behavior in the ClimSim Dataset”
2023 Summer Institute: Integrating Climate Education in NYC Public Schools
Monday – Thursday || July 17-20, 2023
2023 Summer Momentum Fellowship
June 5 – August 11, 2023
2023 SUMMER MOMENTUM FELLOWS: Matthew Beveridge, Mohammad Erfani, Yu Huang
2023 SUMMER MOMENTUM FELLOWSHIP FACULTY: Dhruv Balwada, Kara Lamb, Pierre Gentine, Carl Vondrick
2023 Summer REU Program
June 5 – July 29, 2023
2023 SUMMER REU COHORT: Samarth Agrawal, Thomas Chen, Mark Irby-Gill, Rebecca Porter, Amanda Sun, Subashree Venkatasubramanian
MOMENTUM BOOTCAMP INSTRUCTORS: Candace Agonafir, Yu Huang, Tian Zheng
IN-PERSON RESEARCH MENTORS: Pierre Gentine, Stephan Mandt, Mike Pritchard
Special Presentation
Thursday || June 15, 2023 || 1:00pm
REBECCA GJINI (UC San Diego): “Mapping Meteorological Conditions to Predator Prey Dynamics”
LEAP ML Journal Club
Thursday || May 25, 2023 || 12:00pm
ROMANA BOIGER + ROB MODINI (PSI): “Retrieval of Aerosol Properties from in-situ, Multi-angle Light Scattering Measurements Using Invertible Neural Networks”
YouTube link
Spring Lecture in Climate Data Science
Thursday || May 25, 2023 || 3:30pm
STEPHAN MANDT (UC Irvine): “From Compression to Convection: a Latent Variable Perspective”
YouTube link
Spring Lecture in Climate Data Science
Thursday || May 18, 2023 || 3:30pm
MIKE PRITCHARD (UC Irvine / NVIDIA): “Adventures in Physics / AI Climate Modeling and Full AI Weather Prediction”
YouTube link
Spring Lecture in Climate Data Science
Thursday || May 4, 2023 || 3:30pm
ADJI BOUSSO DIENG (Princeton): “Measuring and Enforcing Diversity in Machine Learning”
YouTube link
Spring Lecture in Climate Data Science
Thursday || April 27, 2023 || 3:30pm
DAVE LAWRENCE (NCAR): “Parameter Estimation for Improved Capacity of the Community Land Model for Actionable Science”
YouTube link
LEAP ML Climate Journal Club
Thursday || April 20, 2023 || 12:00pm
PETER JAN VAN LEEUWEN (Colorado State): “Uncertainty Quantification in ML and Connections with Data Assimilation”
YouTube link
Spring Lecture in Climate Data Science
Thursday || April 13, 2023 || 3:30pm
CHRIS BRETHERTON (Allen Institute for AI): “Corrective Machine Learning for Interpretable Improvement of Climate Models”
YouTube link
LEAP ML Climate Journal Club
Thursday || April 6, 2023 || 12:00pm
PRAKHAR SRIVASTAVA (UC Irvine): “Denoising Diffusion Probabilistic Models”
YouTube link
Spring Lecture in Climate Data Science
Thursday || March 30, 2023 || 3:30pm
ROSE YU (UC San Diego): “Physics-Guided Deep Learning for Climate Dynamics”
YouTube link
LEAP ML Climate Journal Club
Thursday || March 9, 2023 || 12:00pm
SAM SILVA (USC): “Emulating Cloud Droplets in a Climate Model”
YouTube link
Spring Lecture in Climate Data Science
Thursday || March 2, 2023 || 3:00pm
HOD LIPSON (Columbia): “Automating Discovery: From Cognitive Robotics to Particle Physics”
YouTube link
Spring Lecture in Climate Data Science
Thursday || February 16, 2023 || 3:00pm
JEAN-NOÉ LANDRY (Concordia Univ., Montréal): “Climate Knowledge Transfer in a Time of Crises, Transitions, and New Collaborations”
YouTube link
AI FOR GOOD PROGRAMME
Wednesday || February 15, 2023 || 11:00am
PIERRE GENTINE (Columbia): “Physics to Machine Learning, and Machine Learning Back to Physics”
LEAP ML Climate Journal Club
Thursday || February 9, 2023 || 12:00pm
KEVIN XIA (Columbia): “The Causal-Neural Connection: Expressiveness, Learnability, and Inference”
YouTube link
Spring Lecture in Climate Data Science
Thursday || February 2, 2023 || 3:00pm
PIERRE GENTINE (Columbia): “Physics to Machine Learning, and Machine Learning Back to Physics”
YouTube link
LEAP ML Climate Journal Club
Thursday || January 26, 2023 || 12:00pm
AURÉLIEN RIBES (CNRM / Météo-France): “An Adaptation of Kalman Filtering for Climate Change”
YouTube link
LEAP Year 2 Annual Meeting
Monday || January 16, 2023 – Wednesday || January 18, 2023
Day 1
Day 2
LEAP ML Climate Journal Club
Thursday || January 12, 2023 || 12:00pm
BLANKA BALOGH (CNRM, Université de Toulouse Météo-France): “How to Calibrate a Dynamical System with Neural Network Based Physics”
YouTube link
2023 Winter Momentum Bootcamp
Thursday || January 5, 2023 – Friday || January 6, 2023
Day 1
Day
Fall Lecture in Climate Data Science
Thursday || December 8, 2022 || 3:00pm
JAKOB RUNGE (German Aerospace Center / TU Berlin): “Causal Inference, Causal Discovery, and Machine Learning”
YouTube link
LEAP ML Climate Journal Club
Thursday || December 8, 2022 || 12:00pm
SARA SHAMEKH (Columbia): “Implicit Learning of Convective Organization Explains Precipitation Stochasticity”
YouTube link
CAIT Distinguished Lecture
Wednesday || December 7, 2022 || 12:00pm
PIERRE GENTINE (Columbia): “Physics to Machine Learning and Machine Learning Back to Physics”
YouTube link
Fall Lecture in Climate Data Science
Thursday || November 17, 2022 || 3:00pm
PEDRAM HASSANZADEH (Rice): “Learning Data-driven Subgrid-scale Models for Geophysical Turbulence”
YouTube link
LEAP ML Climate Journal Club
Thursday || November 10, 2022 || 12:00pm
JOSEPH BAKARJI (Univ. of Washington): “Dimensionally Consistent Learning with Buckingham Pi”
YouTube link
Fall Lecture in Climate Data Science
Thursday || November 3, 2022 || 3:00pm
**THIS LECTURE WAS POSTPONED AND WILL BE RESCHEDULED**
MIKE PRITCHARD (UC Irvine): “Adventures in Hybrid Physics: Machine Learning for Multi-scale Climate Modeling, AI-assisted Climate Model Inter-comparison, and … NVIDIA”
SOARS: an Example of Research, Mentoring, and Community
Thursday || November 3, 2022 || 11:00am
KADIDIA THIERO (SOARS Principal Investigator / Program Lead)
Fall Lecture in Climate Data Science
Thursday || October 20, 2022 || 3:00pm
ELIZABETH BARNES (Colorado State Univ.): “Explainable AI for Climate Science: Detection, Prediction, and Discovery”
YouTube link
LEAP ML Climate Journal Club
Thursday || October 13, 2022 || 12:00pm
GRIFFIN MOOERS (UC Irvine): “Comparing Storm Resolving Models and Climates via Unsupervised Machine Learning”
YouTube link
Fall Lecture in Climate Data Science
Thursday || October 6, 2022 || 3:00pm
VIPIN KUMAR (Univ. of Minnesota): “Inverse Modeling via Knowledge-Guided Self-Supervised Learning: An Application in Hydrology”
YouTube link
Fall Lecture in Climate Data Science
Thursday || September 22, 2022 || 3:00pm
LAURE ZANNA (NYU): “Machine Learning for Ocean + Climate Modeling: Advances, Challenges, and Outlook”
YouTube link
LEAP ML Climate Journal Club
Monday || September 19, 2022 || 12:00pm
ALBAN FARCHI (CEREA): “Using Machine Learning to Correct Model Error in Data Assimilation and Forecast Applications”
Fall Lecture in Climate Data Science
Thursday || September 8, 2022 || 3:00pm
DAVID ROLNICK (McGill Univ.): “Machine Learning in Climate Change Mitigation and Adaptation”
YouTube link
- LEAP ML Climate Journal Club
Monday || August 22, 2022 || 12:00-1:00pm - LEAP ML Climate Journal Club
Monday || August 8, 2022 || 12:00-1:00 pm