@article{Asong-2018-Historical,
title = "Historical drought patterns over Canada and their teleconnections with large-scale climate signals",
author = "Asong, Zilefac Elvis and
Wheater, H. S. and
Bonsal, Barrie and
Razavi, Saman and
Kurkute, Sopan",
journal = "Hydrology and Earth System Sciences, Volume 22, Issue 6",
volume = "22",
number = "6",
year = "2018",
publisher = "Copernicus GmbH",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G18-11001",
doi = "10.5194/hess-22-3105-2018",
pages = "3105--3124",
abstract = "Abstract. Drought is a recurring extreme climate event and among the most costly natural disasters in the world. This is particularly true over Canada, where drought is both a frequent and damaging phenomenon with impacts on regional water resources, agriculture, industry, aquatic ecosystems, and health. However, nationwide drought assessments are currently lacking and impacted by limited ground-based observations. This study provides a comprehensive analysis of historical droughts over the whole of Canada, including the role of large-scale teleconnections. Drought events are characterized by the Standardized Precipitation Evapotranspiration Index (SPEI) over various temporal scales (1, 3, 6, and 12 consecutive months, 6 months from April to September, and 12 months from October to September) applied to different gridded monthly data sets for the period 1950{--}2013. The Mann{--}Kendall test, rotated empirical orthogonal function, continuous wavelet transform, and wavelet coherence analyses are used, respectively, to investigate the trend, spatio-temporal patterns, periodicity, and teleconnectivity of drought events. Results indicate that southern (northern) parts of the country experienced significant trends towards drier (wetter) conditions although substantial variability exists. Two spatially well-defined regions with different temporal evolution of droughts were identified {--} the Canadian Prairies and northern central Canada. The analyses also revealed the presence of a dominant periodicity of between 8 and 32 months in the Prairie region and between 8 and 40 months in the northern central region. These cycles of low-frequency variability are found to be associated principally with the Pacific{--}North American (PNA) and Multivariate El Ni{\~n}o/Southern Oscillation Index (MEI) relative to other considered large-scale climate indices. This study is the first of its kind to identify dominant periodicities in drought variability over the whole of Canada in terms of when the drought events occur, their duration, and how often they occur.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Asong-2018-Historical">
<titleInfo>
<title>Historical drought patterns over Canada and their teleconnections with large-scale climate signals</title>
</titleInfo>
<name type="personal">
<namePart type="given">Zilefac</namePart>
<namePart type="given">Elvis</namePart>
<namePart type="family">Asong</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">H</namePart>
<namePart type="given">S</namePart>
<namePart type="family">Wheater</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Barrie</namePart>
<namePart type="family">Bonsal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Saman</namePart>
<namePart type="family">Razavi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sopan</namePart>
<namePart type="family">Kurkute</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Hydrology and Earth System Sciences, Volume 22, Issue 6</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Copernicus GmbH</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>Abstract. Drought is a recurring extreme climate event and among the most costly natural disasters in the world. This is particularly true over Canada, where drought is both a frequent and damaging phenomenon with impacts on regional water resources, agriculture, industry, aquatic ecosystems, and health. However, nationwide drought assessments are currently lacking and impacted by limited ground-based observations. This study provides a comprehensive analysis of historical droughts over the whole of Canada, including the role of large-scale teleconnections. Drought events are characterized by the Standardized Precipitation Evapotranspiration Index (SPEI) over various temporal scales (1, 3, 6, and 12 consecutive months, 6 months from April to September, and 12 months from October to September) applied to different gridded monthly data sets for the period 1950–2013. The Mann–Kendall test, rotated empirical orthogonal function, continuous wavelet transform, and wavelet coherence analyses are used, respectively, to investigate the trend, spatio-temporal patterns, periodicity, and teleconnectivity of drought events. Results indicate that southern (northern) parts of the country experienced significant trends towards drier (wetter) conditions although substantial variability exists. Two spatially well-defined regions with different temporal evolution of droughts were identified – the Canadian Prairies and northern central Canada. The analyses also revealed the presence of a dominant periodicity of between 8 and 32 months in the Prairie region and between 8 and 40 months in the northern central region. These cycles of low-frequency variability are found to be associated principally with the Pacific–North American (PNA) and Multivariate El Niño/Southern Oscillation Index (MEI) relative to other considered large-scale climate indices. This study is the first of its kind to identify dominant periodicities in drought variability over the whole of Canada in terms of when the drought events occur, their duration, and how often they occur.</abstract>
<identifier type="citekey">Asong-2018-Historical</identifier>
<identifier type="doi">10.5194/hess-22-3105-2018</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G18-11001</url>
</location>
<part>
<date>2018</date>
<detail type="volume"><number>22</number></detail>
<detail type="issue"><number>6</number></detail>
<extent unit="page">
<start>3105</start>
<end>3124</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Historical drought patterns over Canada and their teleconnections with large-scale climate signals
%A Asong, Zilefac Elvis
%A Wheater, H. S.
%A Bonsal, Barrie
%A Razavi, Saman
%A Kurkute, Sopan
%J Hydrology and Earth System Sciences, Volume 22, Issue 6
%D 2018
%V 22
%N 6
%I Copernicus GmbH
%F Asong-2018-Historical
%X Abstract. Drought is a recurring extreme climate event and among the most costly natural disasters in the world. This is particularly true over Canada, where drought is both a frequent and damaging phenomenon with impacts on regional water resources, agriculture, industry, aquatic ecosystems, and health. However, nationwide drought assessments are currently lacking and impacted by limited ground-based observations. This study provides a comprehensive analysis of historical droughts over the whole of Canada, including the role of large-scale teleconnections. Drought events are characterized by the Standardized Precipitation Evapotranspiration Index (SPEI) over various temporal scales (1, 3, 6, and 12 consecutive months, 6 months from April to September, and 12 months from October to September) applied to different gridded monthly data sets for the period 1950–2013. The Mann–Kendall test, rotated empirical orthogonal function, continuous wavelet transform, and wavelet coherence analyses are used, respectively, to investigate the trend, spatio-temporal patterns, periodicity, and teleconnectivity of drought events. Results indicate that southern (northern) parts of the country experienced significant trends towards drier (wetter) conditions although substantial variability exists. Two spatially well-defined regions with different temporal evolution of droughts were identified – the Canadian Prairies and northern central Canada. The analyses also revealed the presence of a dominant periodicity of between 8 and 32 months in the Prairie region and between 8 and 40 months in the northern central region. These cycles of low-frequency variability are found to be associated principally with the Pacific–North American (PNA) and Multivariate El Niño/Southern Oscillation Index (MEI) relative to other considered large-scale climate indices. This study is the first of its kind to identify dominant periodicities in drought variability over the whole of Canada in terms of when the drought events occur, their duration, and how often they occur.
%R 10.5194/hess-22-3105-2018
%U https://gwf-uwaterloo.github.io/gwf-publications/G18-11001
%U https://doi.org/10.5194/hess-22-3105-2018
%P 3105-3124
Markdown (Informal)
[Historical drought patterns over Canada and their teleconnections with large-scale climate signals](https://gwf-uwaterloo.github.io/gwf-publications/G18-11001) (Asong et al., GWF 2018)
ACL
- Zilefac Elvis Asong, H. S. Wheater, Barrie Bonsal, Saman Razavi, and Sopan Kurkute. 2018. Historical drought patterns over Canada and their teleconnections with large-scale climate signals. Hydrology and Earth System Sciences, Volume 22, Issue 6, 22(6):3105–3124.