Christian Schwatke retweeted
High-res #WaterSurfaceSlope derived from Satellite #Altimetry for rivers in Poland shows an average RMSE of 27 mm/km (11 mm/km in lowlands) compared to slopes from gauge data. The method can be applied worldwide and benefit flow velocity & discharge: WRR, doi.org/10.1029/2023WR034907
ALT High-resolution Water Surface Slopes (WSS): Results for Warta River, Poland (red). For comparison: WSS from gauge data (orange), ICESat-2 laser altimetry (cyan), SWORD (yellow), and lidar (green). Averaged high-resolution WSS (black) are used for validation with WSS from gauges (orange). Vertical lines (gray) show flow disturbances. Figure taken from Schwatke et al., Water Resources Research, 2024, https://doi.org/10.1029/2023WR034907 (open access).
Christian Schwatke retweeted
A milestone is reached! For meanwhile 10,000 targets worldwide our DAHITI Database for Hydrological Time Series of Inland Waters provides free hydrological information like water level, surface area & volume change from satellite data. Explore it at dahiti.dgfi.tum.de
#Lakes
Christian Schwatke retweeted
River slopes observed by #ICESat2: New algorithm enables the use of lidar data for continuous monitoring of water surface slopes (WSS) on reach-scale. WSS is essential for estimating flow velocity & discharge, and relevant as an altimetry range correction: doi.org/10.1029/2022WR032842
