Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/amt-17-1347-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1347-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Research article
 | 
29 Feb 2024
Research article |  | 29 Feb 2024

Level0 to Level1B processor for MethaneAIR

Eamon K. Conway, Amir H. Souri, Joshua Benmergui, Kang Sun, 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, and Steven Wofsy

Viewed

Total article views: 1,085 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
729 309 47 1,085 28 32
  • HTML: 729
  • PDF: 309
  • XML: 47
  • Total: 1,085
  • BibTeX: 28
  • EndNote: 32
Views and downloads (calculated since 23 Jun 2023)
Cumulative views and downloads (calculated since 23 Jun 2023)

Viewed (geographical distribution)

Total article views: 1,085 (including HTML, PDF, and XML) Thereof 1,075 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
The work presented here describes the processes required to convert raw sensor data for the MethaneAIR instrument to geometrically calibrated data. Each algorithm is described in detail. 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 a high degree of accuracy.
Read more