Using the Surface Water and Ocean Topography Mission Data to Estimate River Bathymetry and Channel Roughness

Author(s):  
Renato Prata de Moraes Frasson
Author(s):  
Edward Salameh ◽  
Frédéric Frappart ◽  
Damien Desroches ◽  
Imen Turki ◽  
Denis Carbonne ◽  
...  

Author(s):  
Elizabeth H. Altenau ◽  
Tamlin M. Pavelsky ◽  
Michael T. Durand ◽  
Xiao Yang ◽  
Renato Prata de Moraes Frasson ◽  
...  

2019 ◽  
Vol 7 ◽  
Author(s):  
Theodore Langhorst ◽  
Tamlin M. Pavelsky ◽  
Renato Prata de Moraes Frasson ◽  
Rui Wei ◽  
Alessio Domeneghetti ◽  
...  

2017 ◽  
Vol 53 (10) ◽  
pp. 8164-8186 ◽  
Author(s):  
Renato Prata de Moraes Frasson ◽  
Rui Wei ◽  
Michael Durand ◽  
J. Toby Minear ◽  
Alessio Domeneghetti ◽  
...  

Author(s):  
Lee-Lueng Fu ◽  
Lee-Lueng Fu ◽  
Lee-Lueng Fu ◽  
Lee-Lueng Fu ◽  
Lee-Lueng Fu ◽  
...  

2018 ◽  
Vol 35 (2) ◽  
pp. 281-297 ◽  
Author(s):  
Jinbo Wang ◽  
Lee-Lueng Fu ◽  
Bo Qiu ◽  
Dimitris Menemenlis ◽  
J. Thomas Farrar ◽  
...  

AbstractThe wavenumber spectrum of sea surface height (SSH) is an important indicator of the dynamics of the ocean interior. While the SSH wavenumber spectrum has been well studied at mesoscale wavelengths and longer, using both in situ oceanographic measurements and satellite altimetry, it remains largely unknown for wavelengths less than ~70 km. The Surface Water Ocean Topography (SWOT) satellite mission aims to resolve the SSH wavenumber spectrum at 15–150-km wavelengths, which is specified as one of the mission requirements. The mission calibration and validation (CalVal) requires the ground truth of a synoptic SSH field to resolve the targeted wavelengths, but no existing observational network is able to fulfill the task. A high-resolution global ocean simulation is used to conduct an observing system simulation experiment (OSSE) to identify the suitable oceanographic in situ measurements for SWOT SSH CalVal. After fixing 20 measuring locations (the minimum number for resolving 15–150-km wavelengths) along the SWOT swath, four instrument platforms were tested: pressure-sensor-equipped inverted echo sounders (PIES), underway conductivity–temperature–depth (UCTD) sensors, instrumented moorings, and underwater gliders. In the context of the OSSE, PIES was found to be an unsuitable tool for the target region and for SSH scales 15–70 km; the slowness of a single UCTD leads to significant aliasing by high-frequency motions at short wavelengths below ~30 km; an array of station-keeping gliders may meet the requirement; and an array of moorings is the most effective system among the four tested instruments for meeting the mission’s requirement. The results shown here warrant a prelaunch field campaign to further test the performance of station-keeping gliders.


Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Rosemary Morrow ◽  
Lee-Lueng Fu ◽  
Francesco D’Ovidio ◽  
J. Farrar

The Surface Water and Ocean Topography mission will begin by scanning Earth’s surface once a day. We invite ocean scientists to contribute ground-based measurements to compare with the satellite data.


2020 ◽  
Vol 24 (12) ◽  
pp. 5985-6000
Author(s):  
Jean Bergeron ◽  
Gabriela Siles ◽  
Robert Leconte ◽  
Mélanie Trudel ◽  
Damien Desroches ◽  
...  

Abstract. Lakes are important sources of freshwater and provide essential ecosystem services. Monitoring their spatial and temporal variability, and their functions, is an important task within the development of sustainable water management strategies. The Surface Water and Ocean Topography (SWOT) mission will provide continuous information on the dynamics of continental (rivers, lakes, wetlands and reservoirs) and ocean water bodies. This work aims to contribute to the international effort evaluating the SWOT satellite (2022 launch) performance for water balance assessment over large lakes (e.g., >100 km2). For this purpose, a hydrodynamic model was set up over Mamawi Lake, Canada, and different wind scenarios on lake hydrodynamics were simulated. The derived water surface elevations (WSEs) were compared to synthetic elevations produced by the Jet Propulsion Laboratory (JPL) SWOT high resolution (SWOT-HR) simulator. Moreover, water storages and net flows were retrieved from different possible SWOT orbital configurations and synthetic gauge measurements. In general, a good agreement was found between the WSE simulated from the model and those mimicked by the SWOT-HR simulator. Depending on the wind scenario, errors ranged between approximately −2 and 5 cm for mean error and from 30 to 70 cm root mean square error. Low spatial coverage of the lake was found to generate important biases in the retrievals of water volume or net flow between two satellite passes in the presence of local heterogeneities in WSE. However, the precision of retrievals was found to increase as spatial coverage increases, becoming more reliable than the retrievals from three synthetic gauges when spatial coverage approaches 100 %, demonstrating the capabilities of the future SWOT mission in monitoring dynamic WSE for large lakes across Canada.


Eos ◽  
2017 ◽  
Author(s):  
Faisal Hossain ◽  
Alice Andral ◽  
Margaret Srinivasan

2nd SWOT Application User Workshop: Engaging the User Community for Advancing Societal Applications of the Surface Water Ocean Topography (SWOT) Mission, Reston, Virginia, 5–6 April 2017


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