Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study

Reservoir ice can have an important impact on the watershed scale and influence hydraulic operations. On the other hand, hydropower generation can also impact the ice regime. In this study, multi-source satellite and ERA5-land data are used to evaluate ice conditions. Specifically, ice-controlling v...

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Main Authors: Gabriela Llanet Siles, Robert Leconte
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/10/5/108
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author Gabriela Llanet Siles
Robert Leconte
author_facet Gabriela Llanet Siles
Robert Leconte
author_sort Gabriela Llanet Siles
collection DOAJ
description Reservoir ice can have an important impact on the watershed scale and influence hydraulic operations. On the other hand, hydropower generation can also impact the ice regime. In this study, multi-source satellite and ERA5-land data are used to evaluate ice conditions. Specifically, ice-controlling variables (temperature, water levels), ice regime (cover/deformation, thickness) and their interrelations are assessed for a 5-year period from 2017 to 2021. The methodology is applied to the Manicouagan reservoir, one of the largest hydropower reservoirs in Quebec, Canada. The satellite-based land surface temperatures (LSTs) suggest that winter 2021 was the hottest one. Overall, MODIS and Landsat LSTs agree with the ERA5-land temperatures. Ice backscatter from Sentinel-1 indicates that, in general, the reservoir is completely covered by ice from January to March. A correlation of 0.6 and 0.8 is observed between C- and Ku-band Synthetic Aperture Radar (SAR) signal and ice thickness, respectively. Important ice changes inferred from Differential Interferometric SAR (D-InSAR) occur approximately at the position where the largest ERA5-land ice thickness differences are observed. Winter water levels are also evaluated using satellite altimetric data to verify their influence on the ice dynamics. They show a decreasing tendency as the winter advances.
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spelling doaj.art-96dd564cf0ba431f8204364b221d9edf2023-11-18T01:35:28ZengMDPI AGHydrology2306-53382023-05-0110510810.3390/hydrology10050108Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case StudyGabriela Llanet Siles0Robert Leconte1Département de Génie Civil et de Génie du Bâtiment, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaDépartement de Génie Civil et de Génie du Bâtiment, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, CanadaReservoir ice can have an important impact on the watershed scale and influence hydraulic operations. On the other hand, hydropower generation can also impact the ice regime. In this study, multi-source satellite and ERA5-land data are used to evaluate ice conditions. Specifically, ice-controlling variables (temperature, water levels), ice regime (cover/deformation, thickness) and their interrelations are assessed for a 5-year period from 2017 to 2021. The methodology is applied to the Manicouagan reservoir, one of the largest hydropower reservoirs in Quebec, Canada. The satellite-based land surface temperatures (LSTs) suggest that winter 2021 was the hottest one. Overall, MODIS and Landsat LSTs agree with the ERA5-land temperatures. Ice backscatter from Sentinel-1 indicates that, in general, the reservoir is completely covered by ice from January to March. A correlation of 0.6 and 0.8 is observed between C- and Ku-band Synthetic Aperture Radar (SAR) signal and ice thickness, respectively. Important ice changes inferred from Differential Interferometric SAR (D-InSAR) occur approximately at the position where the largest ERA5-land ice thickness differences are observed. Winter water levels are also evaluated using satellite altimetric data to verify their influence on the ice dynamics. They show a decreasing tendency as the winter advances.https://www.mdpi.com/2306-5338/10/5/108ice surface temperaturesice backscatterice thicknesswinter water levelsERA5-landGoogle Earth Engine
spellingShingle Gabriela Llanet Siles
Robert Leconte
Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study
Hydrology
ice surface temperatures
ice backscatter
ice thickness
winter water levels
ERA5-land
Google Earth Engine
title Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study
title_full Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study
title_fullStr Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study
title_full_unstemmed Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study
title_short Reservoir Ice Conditions from Multi-Sensor Remote Sensing and ERA5-Land: The Manicouagan Hydroelectric Reservoir Case Study
title_sort reservoir ice conditions from multi sensor remote sensing and era5 land the manicouagan hydroelectric reservoir case study
topic ice surface temperatures
ice backscatter
ice thickness
winter water levels
ERA5-land
Google Earth Engine
url https://www.mdpi.com/2306-5338/10/5/108
work_keys_str_mv AT gabrielallanetsiles reservoiriceconditionsfrommultisensorremotesensingandera5landthemanicouaganhydroelectricreservoircasestudy
AT robertleconte reservoiriceconditionsfrommultisensorremotesensingandera5landthemanicouaganhydroelectricreservoircasestudy