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Authors = Jennifer C. Pesklevits

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12 pages, 3179 KiB  
Data Descriptor
Reconstructed River Water Temperature Dataset for Western Canada 1980–2018
by Rajesh R. Shrestha and Jennifer C. Pesklevits
Data 2023, 8(3), 48; https://doi.org/10.3390/data8030048 - 26 Feb 2023
Cited by 6 | Viewed by 3183
Abstract
Continuous water temperature data are important for understanding historical variability and trends of river thermal regime, as well as impacts of warming climate on aquatic ecosystem health. We describe a reconstructed daily water temperature dataset that supplements sparse historical observations for 55 river [...] Read more.
Continuous water temperature data are important for understanding historical variability and trends of river thermal regime, as well as impacts of warming climate on aquatic ecosystem health. We describe a reconstructed daily water temperature dataset that supplements sparse historical observations for 55 river stations across western Canada. We employed the air2stream model for reconstructing water temperature dataset over the period 1980–2018, with air temperature and discharge data used as model inputs. The model was calibrated and validated by comparing with observed water temperature records, and the results indicate a reasonable statistical performance. We also present historical trends over the ice-free summer months from June to September using the reconstructed dataset, which indicate- significantly increasing water temperature trends for most stations. Besides trend analysis, the dataset could be used for various applications, such as calculation of heat fluxes, calibration/validation of process-based water temperature models, establishment of baseline condition for future climate projections, and assessment of impacts on ecosystems health and water quality. Full article
(This article belongs to the Collection Modern Geophysical and Climate Data Analysis: Tools and Methods)
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