Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 1
Articles | Volume 15, issue 1
https://doi.org/10.5194/amt-15-117-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-117-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 1
Research article
 | 
05 Jan 2022
Research article |  | 05 Jan 2022

New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy

Mark T. Richardson, David R. Thompson, Marcin J. Kurowski, and Matthew D. Lebsock

Viewed

Total article views: 1,916 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,441 398 77 1,916 82 66 82
  • HTML: 1,441
  • PDF: 398
  • XML: 77
  • Total: 1,916
  • Supplement: 82
  • BibTeX: 66
  • EndNote: 82
Views and downloads (calculated since 11 Aug 2021)
Cumulative views and downloads (calculated since 11 Aug 2021)

Viewed (geographical distribution)

Total article views: 1,916 (including HTML, PDF, and XML) Thereof 1,809 with geography defined and 107 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Dec 2024
Download
Short summary
Sunlight can pass diagonally through the atmosphere, cutting through the 3-D water vapour field in a way that smears 2-D maps of imaging spectroscopy vapour retrievals. In simulations we show how this smearing is towards or away from the Sun, so calculating across the solar direction allows sub-kilometre information about water vapour's spatial scaling to be calculated. This could be tested by airborne campaigns and used to obtain new information from upcoming spaceborne data products.
Read more