Articles | Volume 15, issue 1
Atmos. Meas. Tech., 15, 117–129, 2022
https://doi.org/10.5194/amt-15-117-2022
Atmos. Meas. Tech., 15, 117–129, 2022
https://doi.org/10.5194/amt-15-117-2022
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 et al.

Viewed

Total article views: 1,168 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
972 169 27 1,168 26 13 33
  • HTML: 972
  • PDF: 169
  • XML: 27
  • Total: 1,168
  • Supplement: 26
  • BibTeX: 13
  • EndNote: 33
Views and downloads (calculated since 11 Aug 2021)
Cumulative views and downloads (calculated since 11 Aug 2021)

Viewed (geographical distribution)

Total article views: 1,074 (including HTML, PDF, and XML) Thereof 1,074 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Oct 2022
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.