Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns

An empirical scheme for predicting the meteorological conditions that lead to summer forest fire severity for Canada using the multivariate singular value decomposition (SVD) has been developed for the 1953-2007 period. The levels and sources of predictive skill have been estimated using a cross-val...

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Main Authors: Skinner, W., Flannigan, M., Shabber, A.
Format: Other/Unknown Material
Language:English
Published: 2011
Subjects:
psy
Online Access:https://doi.org/10.7939/R3V11VP14
https://era.library.ualberta.ca/items/fbda9fa9-e156-42e6-b6b8-1794d9f4ed22
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spelling fttriple:oai:gotriple.eu:10670/1.10402/era.32170 2023-05-15T17:22:53+02:00 Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns Skinner, W. Flannigan, M. Shabber, A. 2011-01-01 https://doi.org/10.7939/R3V11VP14 https://era.library.ualberta.ca/items/fbda9fa9-e156-42e6-b6b8-1794d9f4ed22 en eng doi:10.7939/R3V11VP14 10670/1.10402/era.32170 https://era.library.ualberta.ca/items/fbda9fa9-e156-42e6-b6b8-1794d9f4ed22 other ERA : Education and Research Archive envir psy Other https://vocabularies.coar-repositories.org/resource_types/c_1843/ 2011 fttriple https://doi.org/10.7939/R3V11VP14 2023-01-22T17:19:18Z An empirical scheme for predicting the meteorological conditions that lead to summer forest fire severity for Canada using the multivariate singular value decomposition (SVD) has been developed for the 1953-2007 period. The levels and sources of predictive skill have been estimated using a cross-validation design. The predictor fields are global sea surface temperatures (SST) and Palmer drought severity index. Two consecutive 3-month predictor periods are used to detect evolving conditions in the predictor fields. Correlation, mean absolute error, and percent correct verification statistics are used to assess forecast model performance. Nationally averaged skills are shown to be statistically significant, which suggests that they are suitable for application to forest fire prediction and for management purposes. These forecasts average a 0.33 correlation skill across Canada and greater than 0.6 in the forested regions from the Yukon, through northern Prairie Provinces, northern Ontario, and central Quebec into Newfoundland. SVD forecasts generally outperform persistence forecasts. The importance of the leading two SVD modes to Canadian summer forest fire severity, accounting for approximately 95% of the squared covariance, is emphasized. The first mode relates strongly to interdecadal trend in global SST. Between 1953 and 2007 the western tropical Pacific, the Indian, and the North Atlantic Oceans have tended to warm while the northeastern Pacific and the extreme Southern Hemisphere oceans have shown a cooling trend. During the same period, summer forest fire exhibited increased severity across the large boreal forest region of Canada. The SVD diagnostics also indicate that the El Nino-Southern Oscillation and the Pacific decadal oscillation play a significant role in Canadian fire severity. Warm episodes (El Nino) tend to be associated with severe fire conditions over the Yukon, parts of the northern Prairie Provinces, and central Quebec. The linearity of the SVD manifests opposite response during the cold (La ... Other/Unknown Material Newfoundland North Atlantic Yukon Unknown Canada Indian Pacific Yukon
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic envir
psy
spellingShingle envir
psy
Skinner, W.
Flannigan, M.
Shabber, A.
Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns
topic_facet envir
psy
description An empirical scheme for predicting the meteorological conditions that lead to summer forest fire severity for Canada using the multivariate singular value decomposition (SVD) has been developed for the 1953-2007 period. The levels and sources of predictive skill have been estimated using a cross-validation design. The predictor fields are global sea surface temperatures (SST) and Palmer drought severity index. Two consecutive 3-month predictor periods are used to detect evolving conditions in the predictor fields. Correlation, mean absolute error, and percent correct verification statistics are used to assess forecast model performance. Nationally averaged skills are shown to be statistically significant, which suggests that they are suitable for application to forest fire prediction and for management purposes. These forecasts average a 0.33 correlation skill across Canada and greater than 0.6 in the forested regions from the Yukon, through northern Prairie Provinces, northern Ontario, and central Quebec into Newfoundland. SVD forecasts generally outperform persistence forecasts. The importance of the leading two SVD modes to Canadian summer forest fire severity, accounting for approximately 95% of the squared covariance, is emphasized. The first mode relates strongly to interdecadal trend in global SST. Between 1953 and 2007 the western tropical Pacific, the Indian, and the North Atlantic Oceans have tended to warm while the northeastern Pacific and the extreme Southern Hemisphere oceans have shown a cooling trend. During the same period, summer forest fire exhibited increased severity across the large boreal forest region of Canada. The SVD diagnostics also indicate that the El Nino-Southern Oscillation and the Pacific decadal oscillation play a significant role in Canadian fire severity. Warm episodes (El Nino) tend to be associated with severe fire conditions over the Yukon, parts of the northern Prairie Provinces, and central Quebec. The linearity of the SVD manifests opposite response during the cold (La ...
format Other/Unknown Material
author Skinner, W.
Flannigan, M.
Shabber, A.
author_facet Skinner, W.
Flannigan, M.
Shabber, A.
author_sort Skinner, W.
title Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns
title_short Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns
title_full Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns
title_fullStr Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns
title_full_unstemmed Prediction of Seasonal Forest Fire Severity in Canada from Large-Scale Climate Patterns
title_sort prediction of seasonal forest fire severity in canada from large-scale climate patterns
publishDate 2011
url https://doi.org/10.7939/R3V11VP14
https://era.library.ualberta.ca/items/fbda9fa9-e156-42e6-b6b8-1794d9f4ed22
geographic Canada
Indian
Pacific
Yukon
geographic_facet Canada
Indian
Pacific
Yukon
genre Newfoundland
North Atlantic
Yukon
genre_facet Newfoundland
North Atlantic
Yukon
op_source ERA : Education and Research Archive
op_relation doi:10.7939/R3V11VP14
10670/1.10402/era.32170
https://era.library.ualberta.ca/items/fbda9fa9-e156-42e6-b6b8-1794d9f4ed22
op_rights other
op_doi https://doi.org/10.7939/R3V11VP14
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