Projects
Featured Research
Quantifying Alaska Methane Fluxes via Geostatistical Inverse Modeling
Quantifying methane fluxes in Alaska using aircraft data coupled with a geostatistical inverse model and the STILT atmospheric transport model.
Problem
- Arctic warming at ~2× the global average, amplifying methane feedbacks
- Process-based models underestimate Alaska methane budgets
- Conflicting results on inter-annual variability
Method
- Geostatistical inverse modeling (GIM)
- Bayesian inference & BIC model selection
- STILT transport footprint calculations
- HPC-scalable computation pipelines
Impact
- Reduced regional uncertainty in emission budgets
- Validated against aircraft observations
- Fully reproducible analysis workflow
Publication Under Review
Top-Down Constraints on U.S. Methyl Bromide Emissions After the Montreal Protocol
Estimated U.S. methyl bromide emissions using atmospheric observations and inverse modeling to evaluate Montreal Protocol effectiveness.
Problem
- Strong ozone-depleting compound with uncertain emissions
- Conflicting emission estimates from inventories
- Unclear post-2015 phase-out compliance
Method
- Geostatistical inverse modeling
- NOAA GHG Reference Network data
- STILT transport modeling
- Bayesian inference with REML
Impact
- Post-2015: 55–60% emission reduction
- California: >50% of remaining emissions
- Policy insights on ozone recovery
Manuscript in Preparation
Global Wetland Methane Emissions from Satellite Observations
Spatial and temporal analysis of global wetland methane emissions using satellite observations during 2019–2020.
Evaluation of Global Process-Based Methane Flux Models
Large-scale assessment of wetland methane emissions in Arctic-boreal North America using atmospheric tower observations to evaluate 16 process-based models.
Publications
Peer-Reviewed
Presentations
Conferences
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