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Hydroclimatic trends and possible climatic warming in the Canadian Prairies
Open accessAbstract
Results from applying Kendall's test to temperature and precipitation data from 37 weather stations, along with 50 sets of natural streamflow data and 13 sets of evapotranspiration, data show that the Canadian Prairies have become warmer and somewhat drier in the last 4–5 decades. Warming trends are detected in more weather stations than are drying trends. Temperature data are more highly correlated across sites than precipitation. No link was found between precipitation and maximum temperature. Kendall's test on the drought duration, severity, and magnitude for two Saskatchewan sites did not detect any significant trend.
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Citations
Cited by
The influence of autocorrelation on the ability to detect trend in hydrological series
Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) · Hydrological Processes · doi:10.1002/hyp.1095 · Cited by 2,111
Rice, J. S., Emanuel, R. E., Vose, J. M., & Nelson, S. A. C. (2015) · Water Resources Research · doi:10.1002/2014wr016367 · Cited by 95
Metadata
- Authors
- Gan, T. Y.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1998-11
- Volume
- 34
- Issue
- 11
- Pages
- 3009-3015
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W1988223091
- Cited by
- 292
- References
- 0
- FWCI
- 4.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Gan, T. Y. (1998). Hydroclimatic trends and possible climatic warming in the Canadian Prairies. Water Resources Research. https://doi.org/10.1029/98wr01265
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
