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

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

doi:https://doi.org/10.5194/amt-15-117-2022

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

Supplement

https://doi.org/10.5194/amt-15-117-2022-supplement

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

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.