Abstract
River water surface slopes (WSS) can improve the performance of rating
curves for discharge estimates and provides information about river
hydraulic processes and phenomena. Utilising the beam pattern of
ICESat-2, the WSS can be estimated by the slope of a linear regression
of the water surface elevation and the distance along the river. This
paper presents a robust processing scheme for calculating WSS along
rivers in the SWOT River Database. We demonstrate the processing scheme
for the Amur River basin using four years of data. This yields 7306 WSS
estimates across 1693 reaches approximately 10 km in length. The slopes
were estimated between 0.60 cm/km and 651.04 cm/km with a median
standard error of 0.47 cm/km. The method works for slopes larger than
0.5 cm/km and river widths larger than 50 m. The software presented in
this paper is available as the R package ICE2WSS on Github (https://github.com/lindchr/ICE2WSS).
Original language | English |
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Article number | 105789 |
Journal | Environmental Modelling and Software |
Volume | 168 |
Number of pages | 10 |
ISSN | 1364-8152 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- Hydrology
- ICESat-2
- Laser altimetry
- R package
- River water surface slope
- SWOT river database