Evaluation of SWOT HR PIXC version D water level time series of small lakes

Köhn, Simon Jakob; Nielsen, Karina

doi:10.5194/hess-30-6443-2026

Articles | Volume 30, issue 20

https://doi.org/10.5194/hess-30-6443-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-30-6443-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 30, issue 20

Research article

|

22 Oct 2026

Research article |

| 22 Oct 2026

Evaluation of SWOT HR PIXC version D water level time series of small lakes

Simon Jakob Köhn and Karina Nielsen

Data sets

Evaluation of SWOT HR PIXC version D water level time series of small lakes - Dataset Simon Jakob Köhn and Karina Nielsen https://doi.org/10.11583/DTU.27100375

SWOT Level 2 Water Mask Pixel Cloud Data Product SWOT https://doi.org/10.5067/SWOT-PIXC-D

Specifikation 6.0 2018.1114 GeoDanmark http://geodanmark.nu/Spec6/HTML5/DK/StartHer.htm

Model code and software

earthaccess A. Barrett et al. https://doi.org/10.5281/zenodo.13871886

podaac/hydrocron: 1.6.4 F. Greguska et al. https://doi.org/10.5281/zenodo.15831782

Short summary

The new Surface Water and Ocean Topography (SWOT) satellite represents a leap in satellite-based observations of surface water elevations. We evaluated SWOT’s ability to measure water levels in Danish lakes larger than 0.25km². We compared data from the SWOT satellite with in-situ station data from 37 lakes. To ensure valid water levels, we tested six methods for selecting SWOT's data. Furthermore, we show that SWOT Pixel Cloud data contains indications of a time-varying residual roll error.