Development of the L0--L1B processor for MethaneAIR and MethaneSAT
Eamon Conway, Center for Astrophysics Harvard and Smithsonian, eamon.conway@cfa.harvard.edu (Presenter)
Xiong Liu, Center for Astrophysics Harvard and Smithsonian, xliu@cfa.harvard.edu
Kang Sun, University at Buffalo, kangsun@buffalo.edu
Amir H. Souri, Center for Astrophysics Harvard and Smithsonian, ahsouri@cfa.harvard.edu
Josh Benmergui, Harvard University, benmergui@fas.harvard.edu
Jenna Samra, Smithsonian Astrophysical Observatory, jsamra@cfa.harvard.edu
Jonathan E Franklin, Harvard University, jfranklin@g.harvard.edu
Chris E. Chan-Miller, Center for Astrophysics Harvard and Smithsonian, cmiller@cfa.harvard.edu
Carly Staebell, University at Buffalo, carlysta@buffalo.edu
Kelly Chance, Smithsonian Astrophysical Observatory, kchance@cfa.harvard.edu
Steven Wofsy, Harvard University, wofsy@g.harvard.edu
MethaneSAT is an Environmental Defense Fund (EDF) mission set to launch in late 2022 to monitor oil and gas methane emission and produce actionable data to reduce the oil and gas methane emission by 45% by 2025. The MethaneSAT instrument includes two push-broom imaging spectrometers to measure each of the methane and oxygen bands in the SWIR. One of the mission objectives is to accurately measure XCH4 to a precision level of 2-4 ppb at ~2 km2 with a native resolution of ~130x400 m2. Such goals are only achievable if L1B science data are accurately calibrated. MethaneAIR is an airborne simulator that closely replicates the instrument setup of MethaneSAT and this provides an opportunity to develop efficient science algorithms prior to the launch of MethaneSAT.
In this study, we will describe the L0-1B processor for MethaneAIR to produce wavelength and radiometrically calibrated and geolocated radiances and estimates of measurement noise, which will be used to develop the MethaneSAT L0-1B processor. Following the development of the MethaneAIR instrument, two MethaneAIR engineering research flights were carried out in the Colorado Front Range in November 2019. In-flight processing algorithms were developed to characterize the variation of instrument line shape and wavelength shift, correct dark current and stray light, flag pixels, perform geolocation, orthorectification, and radiance alignment between the two bands. The L0-1B processor has been automated to process the upcoming science flights in July 2021 that target regions of oil and gas production.
Poster: Poster_Conway__44_25.pdf
Presentation Type: Poster
Session: 1.5d Retrieval algorithms and methods for inter-instrument and product Cal/Val
Session Date: Monday (6/14) 12:00 PM