3 citations · 4 across the 4 of their papers we have counts for
4 papers
Plume Segmentation from MethaneSAT with Cross-Sensor Transfer Learning and Physics-Informed Postprocessing
Manuel Pérez-Carrasco, Maya Nasr, Zhan Zhang +16
Automated detection and masking of individual methane plumes from satellite imagery is important for operational emission attribution and quantification. We present a machine learn…
Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy
Manuel Perez-Carrasco, Maya Nasr, Sebastien Roche +12
Effective cloud and cloud shadow detection is a critical prerequisite for accurate retrieval of concentrations of atmospheric methane (CH4) or other trace gases in hyperspectral re…
Capability demonstration of a JEDI-based system for TEMPO assimilation: system description and evaluation
Maryam Abdi-Oskouei, Jérôme Barré
The launch of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission in 2023 marked a new era in air quality monitoring by providing high-frequency, geostationary obse…
Ozone Anomalies in Dry Intrusions Associated with Atmospheric Rivers
Kirsten R. Hall, Huiqun Wang, Amir H. Souri +2
As a result of their important role in weather and the global hydrological cycle, understanding atmospheric rivers' (ARs) connection to synoptic-scale climate patterns and atmosphe…