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Profil bibliographique

Jack Warren

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

7Publications signalées
4Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Atmospheric and Environmental Gas DynamicsMethane Hydrates and Related PhenomenaRemote-Sensing Image ClassificationSpectroscopy and Laser ApplicationsGlobal Energy and Sustainability Research

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Contrasting oil and gas methane emission intensities across Algeria's major production basins derived using MethaneSAT data

Anthony Himmelberger, Mark Omara, Marvin Knapp, James P. Williams et autres

Algeria, Africa's largest natural gas producer and a major European Union gas supplier, has limited basin-scale assessment of oil and gas methane emissions. Here, we use MethaneSAT observations from September 2024 to May 2025 to quantify methane emissions across three Algerian production …

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0 citations
Accès ouvert 2026 preprint OpenAlex

Methane emissions intensity mapping from space reveals outsized emissions impact from marginal oil and gas production in the U.S.

James P. Williams, Steven Hamburg, Ritesh Gautam, Luis Guanter et autres

Methane emissions reduction from the oil/gas sector, the largest industrial methane source, is a widely-recognized effective strategy for slowing the rate of climate warming. There are over 600,000 well-pads in the U.S.; one-fifth produce most of the economic value, while the remainder …

us, es (code pays fourni par la source)

0 citations
Accès ouvert 2026 preprint OpenAlex

Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing

Manuel Perez-Carrasco, Maya Nasr, Zhan Zhang, Apisada Chulakadabba et autres

Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learning framework for plume detection from MethaneSAT retrieved column-averaged dry-air mole fractions of methane. We address two core challenges: …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing

Manuel Perez-Carrasco, Maya Nasr, Zhan Zhang, Apisada Chulakadabba et autres

Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learning framework for plume detection from MethaneSAT retrieved column-averaged dry-air mole fractions of methane. We address two core challenges: …

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations

James P. Williams, Joshua Benmergui, Marvin Knapp, Mark Omara et autres

Mitigating anthropogenic methane emissions is widely recognized as an effective strategy to reduce near-term climate warming. Here, we use satellite observations from MethaneSAT (2024–2025) to characterize methane emissions from six oil and gas producing regions as a demonstration of MethaneSAT data capabilities. …

us, es (code pays fourni par la source)

4 citations Atmospheric chemistry and physics
Accès ouvert 2025 peer-review OpenAlex

Comment on egusphere-2025-4666

Luis Guanter, Javier Roger, Jack Warren, Maryann Sargent et autres

Abstract. Methane emissions from the oil and gas (O&G) industry play a major role in the global methane budget. The MethaneSAT mission, which operated between March 2024 and June 2025, was designed to provide high-quality data on O&G methane emissions, including both …

es, us (code pays fourni par la source)

0 citations

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