- 1Harvard University, Cambridge, United States of America
- 2Massachusetts Institute of Technology, Cambridge, United States of America
We present an operational, cloud-based methane emissions monitoring system with near-real-time latency for the Marcellus shale, the largest gas-producing region in the United States. The system uses an analytical inversion via the Integrated Methane Inversion (IMI) framework to infer emissions from TROPOMI satellite instrument at ~12km resolution. We generate and analyze monthly emissions estimates spanning nearly five years (July 2021-present), enabling characterization of both long-term trends and short-term emission variability. Low-latency processing facilitates rapid detection of emission spikes, while high spatial resolution enables attribution among closely collocated source sectors (gas production, coal mining, livestock, and landfills). We validate our estimates using observations from MethaneSAT and summer 2025 aircraft campaigns. The system is fully automated on AWS and delivers results through an interactive web dashboard. We also develop an IMI extension package that enables users to deploy automated emissions monitoring systems for any region worldwide.
How to cite: Estrada, L., Jacob, D., Sulprizio, M., Wang, X., Bruno, J., and Varon, D.: An operational, cloud-based system for near-real-time methane emissions monitoring in the Marcellus shale and beyond, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11743, https://doi.org/10.5194/egusphere-egu26-11743, 2026.