FINNISH METEOROLOGICAL INSTITUTE (FI)
The project aims at developing a new methodology for detecting anthropogenic carbon dioxide emission sources. CO2 data from OCO-2 and NO2, SO2 and CO data from Sentinel-5P are collocated. The plan is to analyze these data in synergy to better detect anthropogenic CO2 sources and plumes. In detail OCO-2 XCO2 data is deseasonalized and detrended, and further correlated/clustered to the spatial distribution of other species such as NO2, SO2, CO. Further a direct detection of emission plumes is done for anthropogenic sources using NO2, SO2 and CO datasets, and collocating the plumes with XCO2 data. The corresponding CO2 enhancements and ratios between different species at local level is then calculated. The project has been kicked-off the 5th October.
Environmental Research Letters (2023)
Frontiers in Remote Sensing (2022)
Atmospheric Environment: X (2021)
Atmospheric Environment: X (2021)
Atmospheric Measurement Techniques (2020)
Analysis of Four Years of Global XCO2 Anomalies as Seen by Orbiting Carbon Observatory-2
Remote Sensing (2019)
