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dc.contributor.authorSagar, V.K.
dc.contributor.authorMahesh, P.
dc.contributor.authorMahalakshmi, D.V.
dc.contributor.authorRajan, K.S.
dc.contributor.authorSesha Sai, M.V.R.
dc.contributor.authorHase, F.
dc.contributor.authorDubravica, D.
dc.contributor.authorSha, M.K.
dc.date2022
dc.date.accessioned2022-05-18T08:28:25Z
dc.date.available2022-05-18T08:28:25Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/9939
dc.descriptionGreenhouse gases (GHGs) play an important role in controlling local air pollution as well as climate change. In this study, we retrieved column-averaged dry-air ( X ) mole fractions of carbon dioxide (CO 2 ), methane (CH 4 ), and carbon monoxide (CO) using a ground-based EM27/SUN Fourier transform infrared spectrometer (FTIR). The EM27/SUN spectrometers are widely in use in the COllaborative Carbon Column Observing Network (COCCON). The PROFFAST software provided by COCCON has been used to analyze the measured atmospheric solar absorption spectra. In this letter, the diurnal variation and the time series of daily averaged X CO 2 , X CH 4 , and X CO covering the period from December 2020 to May 2021 are analyzed. The maximum values of X CO 2 , X CH 4 , and X CO are observed to be 420.57 ppm, 1.93 ppm, and 170.40 ppb, respectively. Less diurnal but clear seasonal changes are observed during the study period. X CH 4 and X CO from the Sentinel-5Precursor (S5P)/TROPOspheric Monitoring Instrument (TROPOMI) are compared against the EM27/SUN retrievals. The correlation coefficient for the EM27/SUN retrieved X CH 4 and X CO, with the S5P/TROPOMI products, are 0.75 and 0.94, respectively.
dc.languageeng
dc.titleGround-based Remote Sensing of Total Columnar CO2, CH4, and CO using EM27/SUN FTIR spectrometer at a suburban location (Shadnagar) in India and validation of Sentinel-5P/TROPOMI
dc.typeArticle
dc.subject.frascatiPhysical sciences
dc.audienceScientific
dc.subject.freeAtmospheric measurements
dc.subject.freeInstruments
dc.subject.freeClouds
dc.subject.freeGases
dc.subject.freeCarbon dioxide
dc.subject.freeCarbon
dc.subject.freeTime series analysis
dc.source.titleIEEE Geoscience and Remote Sensing Letters
dc.source.volume19
dc.source.pageA1005505
Orfeo.peerreviewedYes
dc.identifier.doi10.1109/LGRS.2022.3171216
dc.identifier.scopus


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