Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope

Abstract Forecasting flood and drought events requires accurate modeling tools. Hydraulic river models are based on estimates of riverbed geometry which are traditionally collected in situ. The novel Ice, Cloud and Land Elevation Satellite 2 [ICESat‐2] lidar altimetry mission with 6 simultaneous hig...

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Main Authors: Aske Folkmann Musaeus, Cécile Marie Margaretha Kittel, Jakob Luchner, Monica Coppo Frias, Peter Bauer‐Gottwein
Format: Article
Language:English
Published: Wiley 2024-06-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2023WR036428
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author Aske Folkmann Musaeus
Cécile Marie Margaretha Kittel
Jakob Luchner
Monica Coppo Frias
Peter Bauer‐Gottwein
author_facet Aske Folkmann Musaeus
Cécile Marie Margaretha Kittel
Jakob Luchner
Monica Coppo Frias
Peter Bauer‐Gottwein
author_sort Aske Folkmann Musaeus
collection DOAJ
description Abstract Forecasting flood and drought events requires accurate modeling tools. Hydraulic river models are based on estimates of riverbed geometry which are traditionally collected in situ. The novel Ice, Cloud and Land Elevation Satellite 2 [ICESat‐2] lidar altimetry mission with 6 simultaneous high‐resolution laser beams provides the opportunity to define river cross‐section geometries as well as observe water surface elevation [WSE] and water surface slope spatially resolved along the river chainage. This paper describes a method to utilize terrain altimetry and water surface slope estimates to define complete river geometries from ICESat‐2 data products, using the diffusive wave approximation to calculate depth in the submerged section not penetrated by the lidar. Exemplifying the method, cross‐sections are defined for a stretch of the Mekong River. Hydrodynamic model results of the stretch are compared with ICESat‐2 WSE estimates and in situ gauging station time series. Insights in river characteristics from satellite imagery and the ICESat‐2 slope estimates allow for fine‐tuning of the cross‐sections using spatially varying Manning numbers. The final model achieves a root mean square error against the ICESat‐2 WSE of 0.676 m and average Kling‐Gupta Efficiency against gauging station time series of 0.880. The method is limited by the diffusive wave approximation resulting in inaccurate cross‐section estimates in sections with supercritical flow or significant acceleration. Errors can be identified from ICESat‐2 WSE estimates and reduced with additional cross‐sections. Combined with hydrological models, the method will allow for cross‐section definition without in situ data.
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spelling doaj-art-d3484429350f46bf9070c9e4f8e710ec2025-08-20T02:36:28ZengWileyWater Resources Research0043-13971944-79732024-06-01606n/an/a10.1029/2023WR036428Hydraulic River Models From ICESat‐2 Elevation and Water Surface SlopeAske Folkmann Musaeus0Cécile Marie Margaretha Kittel1Jakob Luchner2Monica Coppo Frias3Peter Bauer‐Gottwein4Department of Environmental and Resource Engineering Technical University of Denmark Kgs. Lyngby DenmarkDHI A/S Hørsholm DenmarkDHI A/S Hørsholm DenmarkDepartment of Environmental and Resource Engineering Technical University of Denmark Kgs. Lyngby DenmarkDepartment of Environmental and Resource Engineering Technical University of Denmark Kgs. Lyngby DenmarkAbstract Forecasting flood and drought events requires accurate modeling tools. Hydraulic river models are based on estimates of riverbed geometry which are traditionally collected in situ. The novel Ice, Cloud and Land Elevation Satellite 2 [ICESat‐2] lidar altimetry mission with 6 simultaneous high‐resolution laser beams provides the opportunity to define river cross‐section geometries as well as observe water surface elevation [WSE] and water surface slope spatially resolved along the river chainage. This paper describes a method to utilize terrain altimetry and water surface slope estimates to define complete river geometries from ICESat‐2 data products, using the diffusive wave approximation to calculate depth in the submerged section not penetrated by the lidar. Exemplifying the method, cross‐sections are defined for a stretch of the Mekong River. Hydrodynamic model results of the stretch are compared with ICESat‐2 WSE estimates and in situ gauging station time series. Insights in river characteristics from satellite imagery and the ICESat‐2 slope estimates allow for fine‐tuning of the cross‐sections using spatially varying Manning numbers. The final model achieves a root mean square error against the ICESat‐2 WSE of 0.676 m and average Kling‐Gupta Efficiency against gauging station time series of 0.880. The method is limited by the diffusive wave approximation resulting in inaccurate cross‐section estimates in sections with supercritical flow or significant acceleration. Errors can be identified from ICESat‐2 WSE estimates and reduced with additional cross‐sections. Combined with hydrological models, the method will allow for cross‐section definition without in situ data.https://doi.org/10.1029/2023WR036428ICESat‐2riverbed geometryhydraulic modelingMekong Riverwater surface slopecomputational hydrology
spellingShingle Aske Folkmann Musaeus
Cécile Marie Margaretha Kittel
Jakob Luchner
Monica Coppo Frias
Peter Bauer‐Gottwein
Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
Water Resources Research
ICESat‐2
riverbed geometry
hydraulic modeling
Mekong River
water surface slope
computational hydrology
title Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
title_full Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
title_fullStr Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
title_full_unstemmed Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
title_short Hydraulic River Models From ICESat‐2 Elevation and Water Surface Slope
title_sort hydraulic river models from icesat 2 elevation and water surface slope
topic ICESat‐2
riverbed geometry
hydraulic modeling
Mekong River
water surface slope
computational hydrology
url https://doi.org/10.1029/2023WR036428
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