| Title | Simplified climate statistics for permafrost modeling: Yellowknife case study |
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| Author | Riseborough, D; Wolfe, S ; Duchesne, C |
| Source | Proceedings of the Tenth International Conference on Permafrost; 2012 p. 335-340 |
| Image |  |
| Year | 2012 |
| Alt Series | Earth Sciences Sector, Contribution Series 20110342 |
| Meeting | Tenth International Conference on Permafrost; Salekhard; RU; June 25-29, 2012 |
| Document | book |
| Lang. | English |
| Media | paper |
| File format | pdf |
| Province | Northwest Territories |
| NTS | 85J/07 |
| Area | Yellowknife |
| Lat/Long WENS | -115.0000 -114.5000 62.5000 62.2500 |
| Subjects | surficial geology/geomorphology; Nature and Environment; permafrost; freezing ground; ground ice; ground temperatures; models; climate; climate, arctic; temperature; snow; Climate change;
Cenozoic |
| Illustrations | plots; graphs; histograms; tables |
| Program | Climate Change Geoscience |
| Released | 2012 01 01 |
| Abstract | Climate variables were examined to evaluate their simplification for use in permafrost models, using data for Yellowknife Northwest Territories, Canada, as an example. Results suggest that conversion of
the annual temperature cycle to a sine wave is an acceptable approximation, as long as the wave retains the correct values for the annual freezing and thawing degree-day totals. Evolution of the annual snow cover can be approximated by a parabolic
accumulation function; the delay of snow cover initiation with respect to the start of the freezing season, the snow accumulation function, and snow density are all critical, while end-of-season snowpack evolution is of secondary importance.
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| GEOSCAN ID | 289840 |
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