the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Level0-to-Level1B processor for MethaneAIR
Eamon K. Conway
Amir H. Souri
Joshua Benmergui
Xiong Liu
Carly Staebell
Christopher Chan Miller
Jonathan Franklin
Jenna Samra
Jonas Wilzewski
Sebastien Roche
Bingkun Luo
Apisada Chulakadabba
Maryann Sargent
Jacob Hohl
Bruce Daube
Iouli Gordon
Kelly Chance
Steven Wofsy
Abstract. This work presents the development of the MethaneAIR L0–L1B processor, which converts raw L0 data to calibrated and georeferenced L1B data. MethaneAIR is the airborne simulator for MethaneSAT, a new satellite under development by MethaneSAT LLC, a subsidiary of the EDF. MethaneSAT's goals are to precisely map over 80 % of the production sources of methane emissions from oil and gas fields across the globe to an accuracy of 2–4 ppb on 2 km2 scale. Efficient algorithms have been developed to perform dark corrections, estimate the noise, radiometrically calibrate data, and correct stray-light. A forward model integrated into the L0–L1B processor is demonstrated to retrieve wavelength shifts during flight accurately. It is also shown to characterize the ISRF changes occurring at each sampled spatial footprint. We demonstrate fast and accurate orthorectification of MethaneAIR data in a three-step process: i) initial orthorectification of all observations using aircraft avionics, a simple camera model, and a medium resolution digital elevation map, followed by ii) registration of oxygen (O2) channel grey-scale images to reference Multispectral Instrument (MSI) band 11 imagery via Accelerated-KAZE (A-KAZE) feature extraction and linear transformation, and similar co-registration of methane (CH4) channel grey-scale images to the registered O2 channel images, and finally iii) optimization of the aircraft position and attitude to the registered imagery and calculation of viewing geometry. This co-registration technique accurately orthorectifies each channel to the referenced MSI imagery. However, in the pixel domain, radiance data for each channel are offset by almost 150–200 across–track pixels (rows) and need to be aligned for the full physics or proxy retrievals where both channels are simultaneously used. We leveraged our orthorectification tool to identify tie points with similar geographic locations in both CH4 and O2 images in order to produce shift parameters in the across-track and along-track dimensions. These algorithms described in this article will be implemented into the MethaneSAT L0–L1B processor.
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Eamon K. Conway et al.
Status: final response (author comments only)
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RC1: 'Comment on amt-2023-111', Anonymous Referee #1, 03 Aug 2023
GENERAL COMMENTS
Atmospheric methane is one of the most important greenhouse gases. Most of the emissions come from point sources. The remote sensing by airplanes is a powerful tool.
(1) The CH4 measurement with accuracy of “2-4 ppb on 2 km2” is very challenging. The accuracy by remote sensing technique with existing spectrometers using solar reflected light is about 10 ppb. The L1B product is usually defined as calibrated radiance spectra. What are required for characterization, calibration and level 1 products? How stable the wavelength or the instrument response function of the spectrometer should be during the flight to achieve accuracy of 2-4 ppb? How accurate are radiometrically calibrated (in Figure 2)?
Brief summary of the instrument specifications and requirement and contents for Level 1 products will help readers understanding.
(2) Chapters
The title of the Chapter 2 is “instrument”, but it describes the research flight. There is only “2.1” and no “2.2”.
Major revisions are needed before publication.
SPECIFIC COMMENTS
(1) Page 4, Line 87 “Are not monitored in the L0-L1B”
Does it mean “Laboratory-measured wavelength is not used. Wavelength is tuned during the trace gas retrieved”?
(2) Page 4, Figure 1
The description of the area such as Colorado, New Mexico etc. and legend of “RF **” will help readers’ understanding.
(3) Page 10, Line 258, “approximately 30 %”
Does it mean “difference in FWHM of ILS”?
(4) Page 10, Line 264, Page “in order to pinpoint the exact location”
How accurate the orthorectification should be from the cruising altitude?
(5) Page 11, Figure 4
It is difficult to distinguish between bold dots and asterisks.
There are more than one plots at indices of 500 and 1000. Why?
(6) Page 18, Line 425 “small increase in cabin temperature”
It is not clear how small the increase is. The actual temperature variation will help readers understanding.
TECHNICAL CORRECTIONS
(1) Page 4, Line 90, “for each sensor”
Does it mean CH4 and O2 spectrometers?
(2) Page 12, Line 281, “+/- 10 m file”
Is it “+/- 10 m”?
Citation: https://doi.org/10.5194/amt-2023-111-RC1 -
AC1: 'Reply on RC1', Eamon Conway, 12 Sep 2023
The comment was uploaded in the form of a supplement: https://amt.copernicus.org/preprints/amt-2023-111/amt-2023-111-AC1-supplement.pdf
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AC1: 'Reply on RC1', Eamon Conway, 12 Sep 2023
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RC2: 'Comment on amt-2023-111', Anonymous Referee #2, 09 Aug 2023
Please find the review commnets on the preprint in the attached PDF file.
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AC2: 'Reply on RC2', Eamon Conway, 12 Sep 2023
The comment was uploaded in the form of a supplement: https://amt.copernicus.org/preprints/amt-2023-111/amt-2023-111-AC2-supplement.pdf
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AC2: 'Reply on RC2', Eamon Conway, 12 Sep 2023
Eamon K. Conway et al.
Eamon K. Conway et al.
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