LEAP @ AGU24 FALL MEETING

Find LEAP at the American Geophysical Union (AGU) 2024 Fall Meeting

Below is a guide to notable presentations and other events from LEAP colleagues at the Dec. 9-13, 2024, meeting of the American Geophysical Union, the world’s largest gathering of earth and space scientists. The meeting will take place in Washington, DC, and online across the globe.

Presentations are listed in chronological order.
This list will be updated as additional information is gathered.

Times listed below are U.S. Eastern (EDT).

(Note: If you call up an abstract, the time displayed may default to your own local time if you attend remotely.)

MONDAY || DEC. 9, 2024

8:00 – 17:30 || NG01-06: Deep Generative Data Assimilation in Multimodal Setting

JUAN NATHANIEL (Columbia)
with LEAP colleagues: Yongquan Qu, Shuolin Li, Pierre Gentine
iPoster Gallery (Online)

8:00 – 17:30 || NG01-10: Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming

YONGQUAN QU (Columbia)
with LEAP colleague: Pierre Gentine
iPoster Gallery (Online)

8:30 – 12:20 || B11M: The Global Carbon Cycle and Its Feedbacks with Anthropogenic Change (Poster)

FORREST HOFFMAN (Oak Ridge Nat’l Laboratory)
with LEAP colleague: Galen McKinley
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || B11M-1505: Internal Climate Variability Modulates Decadal Changes in Ocean Anthropogenic Storage

HOLLY OLIVAREZ (Louisiana State)
with LEAP colleague: Galen McKinley
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || B11M-1510: Scale-Dependent Drivers of Air-Sea CO2 Flux Variability Using the ECCO-Darwin Model

AMANDA FAY (Columbia)
with LEAP colleague: Galen McKinley
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || B11M-1514: Using Sub-sampling Experiments to Better Understand the Ocean Carbon Sink

THEA HEIMDAL (Columbia)
with LEAP colleagues: Galen McKinley, Abby Shaum
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || GC11H-0034: Probabilistic Distribution-Driven Data Assimilation Framework for Climatic and Hydrological Science

SHUOLIN LI (Columbia)
with LEAP colleagues: Tian Zheng, Pierre Gentine
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || GC11T: Perturbed Parameter Ensembles (PPEs) for Understanding Processes and Quantifying Uncertainty in Earth System Models (Poster)

GREGORY ELSAESSER (Columbia / NASA GISS)
with LEAP colleagues: Katie Dagon, Qingyuan Yang, Kaitlyn Loftus
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || GC11T-0155: Insights from Emulating CAM6 PPE with Neural Network and an Additive Emulator

QINGYUAN YANG (Columbia)
with LEAP colleagues: Gregory Elsaesser, Marcus van Lier-Walqui, Linnia Hawkins
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || GC11T-0160: Perturbed Parameter Ensembles and Precipitation Quantile Uncertainty

KYLE McEVOY (UCLA, LEAP Momentum Fellow 2024))
with LEAP colleagues: Qingyuan Yang, Gregory Elsaesser, Brian Medeiros
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || P11E-3005: Can Oscillating Cloud Albedo and Surface Temperature Explain 55 Cancri e’s “Exotic” Atmosphere?

KAITLYN LOFTUS (Columbia)
Hall B-C (Poster Hall) (Convention Center)

8:40 – 8:50 || NG11A-02: A Differentiable Framework to Reduce Structural and Parametric Uncertainty in Cloud Microphysics Parameterizations Online

KARA LAMB (Columbia)
with LEAP colleagues: Jatan Buch, Maggie Powell, Joseph Ko, Juan Nathaniel, Pierre Gentine
Marquis 12-13 (Marriott Marquis)

8:42 – 8:52 || H11E-02: Knowledge-guided Machine Learning for Modeling Multi-scale Processes and Data Assimilation: An Application to Streamflow Forecasting for River Basins

VIPIN KUMAR (Univ. of Minnesota)
with LEAP colleague: Arvind Renganathan
143 A-C (Convention Center

8:50 – 9:00 || IN11A-03: Assessing Reproducibility Standards in Earth Science: Insights from LEAP Lab Research

CANDACE AGONAFIR (Columbia)
with LEAP colleague: Tian Zheng
Marquis 3-4 (Marriott Marquis)

9:45 – 9:55 || H11D-07: A Nonstationary Stochastic Simulator for Clustered Regional Hydroclimatic Extremes to Characterize Compound Flood Risk

ADAM NAYAK (Columbia)
with LEAP colleague: Pierre Gentine
145 B (Convention Center)

11:40 – 11:50 || A12C-09: Optimizing Cloud Seeding with a Denoising Diffusion Model

JATAN BUCH (Columbia)
with LEAP colleagues: Kara Lamb, Pierre Gentine
152B (Convention Center)

15:02 – 15:12 || C13D-06: Deep Learning for Identifying Functional Relationships Involving Basal Friction and Ice Fluidity

RACHEET MATAI (Columbia)
with LEAP colleagues: Dave Porter, Jonathan Kingslake, Laure Zanna
Salon I (Convention Center)

16:00 – 16:10 || GC14D-01: A Climate Model Calibrated Physics Ensemble (CPE) as One Foundation for Climate Observing System Simulation Experiments (invited)

GREGORY ELSAESSER (Columbia / NASA GISS)
with LEAP colleague: Marcus van Lier-Walqui
Salon A (Convention Center)

16:00 – 17:30 || B14D: The Global Carbon Cycle and Its Feedbacks with Anthropogenic Change (Oral)

FORREST HOFFMAN (Oak Ridge Nat’l Laboratory)
with LEAP colleague: Galen McKinley, Chair + Convener
151A (Convention Center)

16:00 – 17:30 || GC11E: Perturbed Parameter Ensembles (PPEs) for Understanding Processes and Quantifying Uncertainty in Earth System Models (Oral)

GREGORY ELSAESSER (Columbia / NASA GISS)
with LEAP colleagues: Katie Dagon, Qingyuan Yang, Kaitlyn Loftus, Chairs + Conveners
Salon C (Convention Center)

17:12 – 17:22 || GC14E-08: Challenges and Opportunities for Unified Top-down and Bottom-up Constraint of ESM Parameterizations

MARCUS van LIER-WALQUI (Columbia)
with LEAP colleagues: Kaitlyn Loftus, Gregory Elsaesser
Salon C (Convention Center)

TUESDAY || DEC. 10, 2024

8:00 – 17:30 || NG01-06: Deep Generative Data Assimilation in Multimodal Setting

JUAN NATHANIEL (Columbia)
with LEAP colleagues: Yongquan Qu, Shuolin Li, Pierre Gentine
iPoster Gallery (Online)

8:00 – 17:30 || NG01-10: Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming

YONGQUAN QU (Columbia)
with LEAP colleague: Pierre Gentine
iPoster Gallery (Online)

8:30 – 12:20 || A21D-1721: Data-driven Multiscale Modeling of Flow in Plant Canopies

JAEYOUNG JUNG (Columbia)
with LEAP colleagues: Ensheng Weng, David Lawrence, Marco Giometto
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || B21N-1472: Global Characterization and Forecasting of Leaf Phenology Using Deep Learning Methods and Remote Sensing

AYA LAHLOU (Columbia)
with LEAP colleagues: Pierre Gentine, Linnia Hawkins
Hall B-C (Poster Hall) (Convention Center)

9:20 – 9:30 || GC21A-06: Ocean Carbon Sink Uncertainties at the Scale of mCDR

GALEN McKINLEY (Columbia)
with LEAP colleagues: Thea Heimdal, Abby Shaum, Viviana Acquaviva
Salon B (Convention Center)

10:55 – 11:05 || GC22A-04: Can ML Beat Chaos?

PIERRE GENTINE (Columbia)
with LEAP colleague: Juan Nathaniel
Salon A (Convention Center)

13:40 – 17:30 || NH23C-2302: Visualizing Flood Impacts in NYC Neighborhoods Due to Climate Change

FATOUMATA CAMARA (Columbia)
with LEAP colleagues: Candace Agonafir, Tian Zheng
Hall B-C (Poster Hall) (Convention Center)

14:10 – 15:40 || IN23D-04: Interpretable Machine Learning-based Radiation Emulation for ICON

KATHARINA HAFNER (Univ. of Bremen)
with LEAP colleagues: Sara Shamekh, Pierre Gentine, Robert Pincus
eLightning Theater 6 (Convention Center)

16:02 – 16:12 || GC14E-01: Land Carbon Sink Uncertainty in a Perturbed Parameter Ensemble

DANIEL KENNEDY (NCAR)
with LEAP colleagues: Linnia Hawkins, Katie Dagon, David Lawrence
Salon C (Convention Center)

WEDNESDAY || DEC. 11, 2024

8:00 – 17:30 || NG01-06: Deep Generative Data Assimilation in Multimodal Setting

JUAN NATHANIEL (Columbia)
with LEAP colleagues: Yongquan Qu, Shuolin Li, Pierre Gentine
iPoster Gallery (Online)

8:00 – 17:30 || NG01-10: Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming

YONGQUAN QU (Columbia)
with LEAP colleague: Pierre Gentine
iPoster Gallery (Online)

8:30 – 12:20 || A31B-1687: Emulating Lagrangian Ice Crystal Evolution in Cirrus Clouds Using Supervised Machine Learning

ASHLEY NGUYEN (UC Berkeley)
with LEAP colleagues: Joseph Ko, Kara Lamb
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || A31B-1693: How Well Can Power Laws Describe Microphysical Processes in Bulk Schemes?

ARTHUR HU (Columbia)
with LEAP colleagues: Marcus van Lier-Walqui, Kaitlyn Loftus
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || A31G-1810: Discovering a Model for Depositional Ice Growth from Observations Using Neural Ordinary Differential Equations and Symbolic Regression

KARA LAMB (Columbia)
Hall B-C (Poster Hall) (Convention Center)

8:30 – 12:20 || NG31B-2089: Extreme Value Theory: A Suitable Tool for the Rarest Extreme Weather Events?

QINGYUAN YANG (Columbia)
Hall B-C (Poster Hall) (Convention Center)

9:50 – 10:00 || GC31E-09: Investigating the Use of Neural Networks to Project Changes in Extreme Storm Surges in Europe

TIM HERMANS (Utrecht)
with LEAP colleague: Julius Busecke
202 A (Convention Center)

10:55 – 11:05 || H32B-04: Leveraging Comprehensive Terrestrial Ecosystem Data and Temporal Deep Learning to Enhance Understanding of Climate-Ecosystem Interactions in Mediterranean Regions

MITRA ASADOLLAHI (Columbia)
with LEAP colleagues: Juan Nathaniel, Pierre Gentine
140 A-B (Convention Center)

13:40 – 17:30 || OS33C-0672: Super-resolution of Sea Surface Height (SSH) Using Machine Learning

WILLIAM MANRIQUEZ (LEAP REU’24)
with LEAP colleague: Dhruv Balwada
Hall B-C (Poster Hall) (Convention Center)

15:30 – 15:40 || A33J-08: Spatiotemporal Machine Learning Models for Emulation of Atmospheric Composition

MOHAMMED ERFANI (Columbia)
with LEAP colleagues: Kara Lamb, Marcus van Lier-Walqui
Salon H (Convention Center)

16:00 – 16:10 || NH34A-01: Structured Exploration of Machine Learning Model Complexity for Spatio-temporal Forecasting of Urban Flooding

CANDACE AGONAFIR (Columbia)
with LEAP colleague: Tian Zheng
Capitol/Congress (Marriott Marquis)

THURSDAY || DEC. 12, 2024

8:00 – 17:30 || NG01-06: Deep Generative Data Assimilation in Multimodal Setting

JUAN NATHANIEL (Columbia)
with LEAP colleagues: Yongquan Qu, Shuolin Li, Pierre Gentine
iPoster Gallery (Online)

8:00 – 17:30 || NG01-10: Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming

YONGQUAN QU (Columbia)
with LEAP colleague: Pierre Gentine
iPoster Gallery (Online)

8:41 – 8:52 || NG41A-02: ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-Physics Climate Emulation

AKSHAY SUBRAMANIAN (NVIDIA)
with LEAP colleagues: Jerry Lin, Julius Busecke, Tian Zheng, Savannah Ferretti, Pierre Gentine, Stephan Mandt, Laure Zanna, Wayne Chuang, Sara Shamekh, Mike Pritchard
Marquis 12-13 (Marriott Marquis)

13:40 – 17:30 || A43H-2089: The Overlooked Sub-grid Air-Sea Flux in Climate Models

JULIUS BUSECKE (Columbia)
with LEAP colleagues: Dhruv Balwada, Prani Nalluri
Hall B-C (Poster Hall) (Convention Center)

13:40-17:30 || NG43A-2292: Stable Machine-Learning Parameterization of Subgrid Processes with Real Geography and Full-physics Emulation

ZEYUAN HU (Harvard)
with LEAP colleagues: Jerry Lin, Mike Pritchard
Hall B-C (Poster Hall) (Convention Center)

13:40-17:30 || NG43A-2294: Sampling Hybrid Climate Simulation at Scale to Reliably Improve Machine Learning Parameterization

JERRY LIN (UC Irvine)
with LEAP colleagues: Pierre Gentine, Mike Pritchard
Hall B-C (Poster Hall) (Convention Center)

14:10 – 14:20 || A43Q-01: Do We Need Parameterizations in the Era of Generative AI? (invited)

PIERRE GENTINE (Columbia)
with LEAP colleagues: Joseph Lockwood, Maggie Powell, Yongquan Qu, Juan Nathaniel, Stephan Mandt
154 A-B (Convention Center)

16:20 – 16:30 || A44A-03: The Death of Autoconversion?