Improving Uncertainty Quantification for Carbon Forecasts

Project Partner:  NASA Jet Propulsion Laboratory Uncertainty Quantification and Statistical Analysis group, Summer 2024

Project Summary:  Reliable monitoring of urban carbon dioxide is needed to assess progress towards climate goals and support informed environmental planning. However, current methods are difficult to apply at the small spatial scales relevant to cities. High-resolution numerical models offer the potential to address this limitation, but their use in informing policy relies on an understanding of their uncertainty. Andrew partnered with the Uncertainty Quantification and Statistical Analysis group at NASA’s Jet Propulsion Laboratory (JPL) with the goal of developing statistical methods to quantify the uncertainties associated with such models. He integrated statistical and computational methods to combine ecological models with observational data in order to produce improved carbon estimates. The JPL partnership resulted in valuable working relationships, and Andrew hopes to continue collaborating with the JPL team in the future.

Project Deliverables:

  • A presentation highlighting the methodological aspects of Andrew’s work.

Watch Andrew’s URBAN Internship lightning talk here.

Land surface carbon cycle model utilized by Andrew Roberts during his internship.