Preprints
https://doi.org/10.5194/egusphere-2024-2352
https://doi.org/10.5194/egusphere-2024-2352
20 Aug 2024
 | 20 Aug 2024

Deep Transfer Learning Method for Seasonal TROPOMI XCH4 Albedo Correction

Alexander C. Bradley, Barbara Dix, Fergus Mackenzie, J. Pepijn Veefkind, and Joost A. de Gouw

Abstract. The retrieval of methane from satellite measurements is sensitive to the reflectance of the surface. In many regions, especially those with agriculture, surface reflectance depends on season, but this is not accounted for in many satellite products. It is an important issue to consider, as agricultural emissions of methane are significant and other sources, like oil and gas production, are also often located in agricultural lands. In this work, we use a set of 12 monthly machine learning models to generate a seasonally resolved surface albedo correction for TROPOMI methane data across the Denver-Julesburg basin. We found that land cover is important in the correction, specifically the type of crops grown in an area, with drought-resistant crop covered areas requiring a correction of 5–6 ppb larger than areas covered in water-intensive crops. Additionally, the correction over different land covers changes significantly over the seasonally resolved timescale, with corrections over drought-resistant crops being up to 10 ppb larger in the summer than in the winter. This correction will allow for more accurate determination of methane emissions by removing the effect of agricultural and other seasonal effects on the albedo correction. The correction may also allow for the deconvolution of agricultural methane emissions, which are seasonally dependent, from oil and gas emissions, which are more constant in time.

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Alexander C. Bradley, Barbara Dix, Fergus Mackenzie, J. Pepijn Veefkind, and Joost A. de Gouw

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2352', Anonymous Referee #1, 11 Sep 2024
  • RC2: 'Comment on egusphere-2024-2352', Anonymous Referee #2, 27 Sep 2024
  • RC3: 'Comment on egusphere-2024-2352', Anonymous Referee #3, 13 Nov 2024
Alexander C. Bradley, Barbara Dix, Fergus Mackenzie, J. Pepijn Veefkind, and Joost A. de Gouw

Model code and software

tropomi_seasonal_albedo_correction Alexander C. Bradley, Barbara Dix, Fergus Mackenzie, J. Pepijn Veefkind, and Joost A. de Gouw https://doi.org/10.5281/zenodo.12809441

Alexander C. Bradley, Barbara Dix, Fergus Mackenzie, J. Pepijn Veefkind, and Joost A. de Gouw

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Short summary
Currently measurement of methane from the TROPOMI satellite is biased with respect to surface reflectance. This study demonstrates a new method of correcting for this bias on a seasonal timescale to allow for differences in surface reflectance in areas of intense agriculture where growing seasons may introduce a reflectance bias. We have successfully implemented this technique in the Denver-Julesburg basin where agriculture and methane extraction infrastructure is often co-located.