workshop

1st Virtual Workshop

We are excited to invite you to the first virtual AI4Carbon Workshop: Machine Learning Meets Atmospheric Transport for Carbon Cycle Research.

Date & Time: November 7th, 2024

Duration: ~2 hours (Start at 5pm CET / 4pm GMT / 11am EST / 8am PST / 11pm ICT)

Workshop Structure

Hour 1: Presentations

Four 15-minute presentations covering atmospheric transport models, inversion, and main challenges.

Speakers

Naveen Chandra
Naveen Chandra

JAMSTEC
Daniel Varon
Daniel Varon

Harvard
Fiona Lippert
Fiona Lippert

University of Amsterdam
Obin Sturm
Obin Sturm

University of South California

Hour 2: Discussion Session

We will discuss current challenges in atmospheric tracer transport modeling and inversion, and explore how recent advances in AI/ML can facilitate carbon cycle research, including transport model development, data assimilation, and uncertainty quantification. NOTE: We invite all participants to share their perspectives on transport models and inversion methods through a brief pre-workshop survey. Your valuable insights will help guide our discussion and highlight critical areas for development in the field.

Link to the AI4Carbon Survey

Topics for discussion

  • Datasets
  • Evaluation
  • High resolution transport
  • Lagrangian vs. Eulerian
  • Inverse modeling
  • Other trace gases
  • Neural Network methods