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.

Data sets

Supporting data for boundary layer water vapour statistics from high-spatial-resolution spaceborne imaging spectroscopy Mark T. Richardson, David R. Thompson, Marcin J. Kurowski, and Matthew D. Lebsock https://doi.org/10.5281/zenodo.5717263

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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.