Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic
Arctic and Subarctic environments are among the most vulnerable regions to climate change. Increases in liquid precipitation and changes in snowmelt onset are cited as the main drivers of change in streamflow and water temperature patterns in some of the largest rivers of the Canadian Arctic. Howeve...
Published in: | Hydrological Processes |
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Main Authors: | , , , |
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Wiley
2023
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Online Access: | https://doi.org/10.1002/hyp.15008 https://nottingham-repository.worktribe.com/file/26519389/1/Hydrological%20Processes%20-%202023%20-%20Rinc%20n%20-%20Combining%20Landsat%20TIR%E2%80%90imagery%20data%20and%20ERA5%20reanalysis%20information%20with%20different https://nottingham-repository.worktribe.com/output/26519389 |
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ftunnottinghamrr:oai:nottingham-repository.worktribe.com:26519389 2023-12-17T10:24:50+01:00 Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic Rincón, Eisinhower St‐hilaire, André Bergeron, Normand E. Dugdale, Stephen J. 2023-10-19 https://doi.org/10.1002/hyp.15008 https://nottingham-repository.worktribe.com/file/26519389/1/Hydrological%20Processes%20-%202023%20-%20Rinc%20n%20-%20Combining%20Landsat%20TIR%E2%80%90imagery%20data%20and%20ERA5%20reanalysis%20information%20with%20different https://nottingham-repository.worktribe.com/output/26519389 unknown Wiley https://nottingham-repository.worktribe.com/output/26519389 Hydrological Processes Volume 37 Issue 10 doi:https://doi.org/10.1002/hyp.15008 https://nottingham-repository.worktribe.com/file/26519389/1/Hydrological%20Processes%20-%202023%20-%20Rinc%20n%20-%20Combining%20Landsat%20TIR%E2%80%90imagery%20data%20and%20ERA5%20reanalysis%20information%20with%20different 0885-6087 doi:10.1002/hyp.15008 openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ CEQUEAU PUB water temperature thermal infrared reanalysis arctic rivers Journal Article publishedVersion 2023 ftunnottinghamrr https://doi.org/10.1002/hyp.15008 2023-11-23T23:07:56Z Arctic and Subarctic environments are among the most vulnerable regions to climate change. Increases in liquid precipitation and changes in snowmelt onset are cited as the main drivers of change in streamflow and water temperature patterns in some of the largest rivers of the Canadian Arctic. However, in spite of this evidence, there is still a lack of research on water temperature, particularly in the eastern Canadian Arctic. In this paper, we use the CEQUEAU hydrological‐water temperature model to derive consistent long‐term daily flow and stream temperature time series in Aux Mélèzes River, a non‐regulated basin (41 297 km2) in the eastern Canadian subarctic. The model was forced using reanalysis data from the fifth‐generation ECMWF atmospheric reanalyses (ERA5) from 1979 to 2020. We used water temperature derived from thermal infrared (TIR) images as reference data to calibrate CEQUEAU's water temperature model, with calibration performed using single‐site, multi‐site, and upscaling factors approaches. Our results indicate that the CEQUEAU model can simulate streamflow patterns in the river and shows excellent spatiotemporal performance with Kling‐Gupta Efficiency (KGE) metric >0.8. Using the best‐performing flow simulation as one of the inputs allowed us to produce synthetic daily water temperature time series throughout the basin, with the multi‐site calibration approach being the most accurate with root mean square errors (RMSE) <2.0°C. The validation of the water temperature simulations with a three‐year in situ data logger dataset yielded an RMSE = 1.38°C for the summer temperatures, highlighting the robustness of the calibrated parameters and the chosen calibration strategy. This research demonstrates the reliability of TIR imagery and ERA5 as sources of model calibration data in data‐sparse environments and underlines the CEQUEAU model as an assessment tool, opening the door to its use to assess climate change impact on the arctic regions of Canada. Article in Journal/Newspaper Arctic Climate change Subarctic University of Nottingham: Repository@Nottingham Arctic Canada Hydrological Processes 37 10 |
institution |
Open Polar |
collection |
University of Nottingham: Repository@Nottingham |
op_collection_id |
ftunnottinghamrr |
language |
unknown |
topic |
CEQUEAU PUB water temperature thermal infrared reanalysis arctic rivers |
spellingShingle |
CEQUEAU PUB water temperature thermal infrared reanalysis arctic rivers Rincón, Eisinhower St‐hilaire, André Bergeron, Normand E. Dugdale, Stephen J. Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic |
topic_facet |
CEQUEAU PUB water temperature thermal infrared reanalysis arctic rivers |
description |
Arctic and Subarctic environments are among the most vulnerable regions to climate change. Increases in liquid precipitation and changes in snowmelt onset are cited as the main drivers of change in streamflow and water temperature patterns in some of the largest rivers of the Canadian Arctic. However, in spite of this evidence, there is still a lack of research on water temperature, particularly in the eastern Canadian Arctic. In this paper, we use the CEQUEAU hydrological‐water temperature model to derive consistent long‐term daily flow and stream temperature time series in Aux Mélèzes River, a non‐regulated basin (41 297 km2) in the eastern Canadian subarctic. The model was forced using reanalysis data from the fifth‐generation ECMWF atmospheric reanalyses (ERA5) from 1979 to 2020. We used water temperature derived from thermal infrared (TIR) images as reference data to calibrate CEQUEAU's water temperature model, with calibration performed using single‐site, multi‐site, and upscaling factors approaches. Our results indicate that the CEQUEAU model can simulate streamflow patterns in the river and shows excellent spatiotemporal performance with Kling‐Gupta Efficiency (KGE) metric >0.8. Using the best‐performing flow simulation as one of the inputs allowed us to produce synthetic daily water temperature time series throughout the basin, with the multi‐site calibration approach being the most accurate with root mean square errors (RMSE) <2.0°C. The validation of the water temperature simulations with a three‐year in situ data logger dataset yielded an RMSE = 1.38°C for the summer temperatures, highlighting the robustness of the calibrated parameters and the chosen calibration strategy. This research demonstrates the reliability of TIR imagery and ERA5 as sources of model calibration data in data‐sparse environments and underlines the CEQUEAU model as an assessment tool, opening the door to its use to assess climate change impact on the arctic regions of Canada. |
format |
Article in Journal/Newspaper |
author |
Rincón, Eisinhower St‐hilaire, André Bergeron, Normand E. Dugdale, Stephen J. |
author_facet |
Rincón, Eisinhower St‐hilaire, André Bergeron, Normand E. Dugdale, Stephen J. |
author_sort |
Rincón, Eisinhower |
title |
Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic |
title_short |
Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic |
title_full |
Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic |
title_fullStr |
Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic |
title_full_unstemmed |
Combining Landsat TIR ‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic |
title_sort |
combining landsat tir ‐imagery data and era5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the canadian subarctic |
publisher |
Wiley |
publishDate |
2023 |
url |
https://doi.org/10.1002/hyp.15008 https://nottingham-repository.worktribe.com/file/26519389/1/Hydrological%20Processes%20-%202023%20-%20Rinc%20n%20-%20Combining%20Landsat%20TIR%E2%80%90imagery%20data%20and%20ERA5%20reanalysis%20information%20with%20different https://nottingham-repository.worktribe.com/output/26519389 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Climate change Subarctic |
genre_facet |
Arctic Climate change Subarctic |
op_relation |
https://nottingham-repository.worktribe.com/output/26519389 Hydrological Processes Volume 37 Issue 10 doi:https://doi.org/10.1002/hyp.15008 https://nottingham-repository.worktribe.com/file/26519389/1/Hydrological%20Processes%20-%202023%20-%20Rinc%20n%20-%20Combining%20Landsat%20TIR%E2%80%90imagery%20data%20and%20ERA5%20reanalysis%20information%20with%20different 0885-6087 doi:10.1002/hyp.15008 |
op_rights |
openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.1002/hyp.15008 |
container_title |
Hydrological Processes |
container_volume |
37 |
container_issue |
10 |
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1785570736064167936 |