Progress on our first in-person workshop in October, 2024
Our first in-person workshop was held from October 2 to 4, 2024 at ESIIL in Boulder, CO. We had an enthusiastic group of 23 in-person team members and 7 virtual members join the workshop.
[Overarching goals]
- 1. Harmonize Natural Methane Dataset: We worked on harmonizing field-based methane fluxes from chamber and eddy-covariance measurements, natural methane fluxes simulated from top-down atmospheric inversions constrained by atmospheric observations, and simulated methane fluxes from bottom-up process-based models. We collected our first set of natural methane datasets during this workshop.
- 2. Identify Knowledge and Gaps: We aim to identify the current state of knowledge regarding the community’s understanding of natural methane sources and sinks, uncertainties in natural methane data and models, and how to harmonize different forms of data and models for knowledge-guided machine learning (KGML).
- 3. KGML Tutorial: Dr. Licheng Liu led the great tutorial on how to run KGML for carbon quantification based on Liu et al. (2024).
[Outcome of the workshop]
- We are working on 2 perspective papers (led by Shuo Chen and Kevin Rozmiarek) on (1) Pushing the Frontiers in Natural Biogenic Methane Modeling and Monitoring with Machine Learning (Chen et al., in prep) and (2) Ethics in AI/ML for the carbon cycle (Rozmiarek et al., in prep).
We navigated several challenges to progress through the groan zone and anticipate more ahead!