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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MDPI AG
2023-05-01
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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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issn | 2306-5338 |
language | English |
last_indexed | 2024-03-11T03:40:44Z |
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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 |