Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change

In this study, variations of daily mean, maximum, and minimum temperature (expressed as <i>T<sub>mean</sub></i>, <i>T<sub>max</sub></i>, and <i>T<sub>min</sub></i>) over the Canadian Prairie Provinces were dynamically downscaled...

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Autores principales: Xiong Zhou, Guohe Huang, Yongping Li, Qianguo Lin, Denghua Yan, Xiaojia He
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:069cb828a0c34be6af4cc830b34353112021-11-11T18:54:28ZDynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change10.3390/rs132143502072-4292https://doaj.org/article/069cb828a0c34be6af4cc830b34353112021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4350https://doaj.org/toc/2072-4292In this study, variations of daily mean, maximum, and minimum temperature (expressed as <i>T<sub>mean</sub></i>, <i>T<sub>max</sub></i>, and <i>T<sub>min</sub></i>) over the Canadian Prairie Provinces were dynamically downscaled through regional climate simulations. How the regional climate would increase in response to global warming was subsequently revealed. Specifically, the Regional Climatic Model (RegCM) was undertaken to downscale the boundary conditions of Geophysical Fluid Dynamics Laboratory Earth System Model Version 2M (GFDL-ESM2M) over the Prairie Provinces. Daily temperatures (i.e., <i>T<sub>mean</sub></i>, <i>T<sub>max</sub></i>, and <i>T<sub>min</sub></i>) were subsequently extracted from the historical and future climate simulations. Temperature variations in the two future periods (i.e., 2036 to 2065 and 2065 to 2095) are then investigated relative to the baseline period (i.e., 1985 to 2004). The spatial distributions of temperatures were analyzed to reveal the regional impacts of global warming on the provinces. The results indicated that the projected changes in the annual averages of daily temperatures would be amplified from the southwest in the Rocky Mountain area to the northeast in the prairie region. It was also suggested that the projected temperature averages would be significantly intensified under RCP8.5. The projected temperature variations could provide scientific bases for adaptation and mitigation initiatives on multiple sectors, such as agriculture and economic sectors over the Canadian Prairies.Xiong ZhouGuohe HuangYongping LiQianguo LinDenghua YanXiaojia HeMDPI AGarticledynamical downscalingprojected variationsCanadian Prairiesglobal warmingScienceQENRemote Sensing, Vol 13, Iss 4350, p 4350 (2021)
institution DOAJ
collection DOAJ
language EN
topic dynamical downscaling
projected variations
Canadian Prairies
global warming
Science
Q
spellingShingle dynamical downscaling
projected variations
Canadian Prairies
global warming
Science
Q
Xiong Zhou
Guohe Huang
Yongping Li
Qianguo Lin
Denghua Yan
Xiaojia He
Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change
description In this study, variations of daily mean, maximum, and minimum temperature (expressed as <i>T<sub>mean</sub></i>, <i>T<sub>max</sub></i>, and <i>T<sub>min</sub></i>) over the Canadian Prairie Provinces were dynamically downscaled through regional climate simulations. How the regional climate would increase in response to global warming was subsequently revealed. Specifically, the Regional Climatic Model (RegCM) was undertaken to downscale the boundary conditions of Geophysical Fluid Dynamics Laboratory Earth System Model Version 2M (GFDL-ESM2M) over the Prairie Provinces. Daily temperatures (i.e., <i>T<sub>mean</sub></i>, <i>T<sub>max</sub></i>, and <i>T<sub>min</sub></i>) were subsequently extracted from the historical and future climate simulations. Temperature variations in the two future periods (i.e., 2036 to 2065 and 2065 to 2095) are then investigated relative to the baseline period (i.e., 1985 to 2004). The spatial distributions of temperatures were analyzed to reveal the regional impacts of global warming on the provinces. The results indicated that the projected changes in the annual averages of daily temperatures would be amplified from the southwest in the Rocky Mountain area to the northeast in the prairie region. It was also suggested that the projected temperature averages would be significantly intensified under RCP8.5. The projected temperature variations could provide scientific bases for adaptation and mitigation initiatives on multiple sectors, such as agriculture and economic sectors over the Canadian Prairies.
format article
author Xiong Zhou
Guohe Huang
Yongping Li
Qianguo Lin
Denghua Yan
Xiaojia He
author_facet Xiong Zhou
Guohe Huang
Yongping Li
Qianguo Lin
Denghua Yan
Xiaojia He
author_sort Xiong Zhou
title Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change
title_short Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change
title_full Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change
title_fullStr Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change
title_full_unstemmed Dynamical Downscaling of Temperature Variations over the Canadian Prairie Provinces under Climate Change
title_sort dynamical downscaling of temperature variations over the canadian prairie provinces under climate change
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/069cb828a0c34be6af4cc830b3435311
work_keys_str_mv AT xiongzhou dynamicaldownscalingoftemperaturevariationsoverthecanadianprairieprovincesunderclimatechange
AT guohehuang dynamicaldownscalingoftemperaturevariationsoverthecanadianprairieprovincesunderclimatechange
AT yongpingli dynamicaldownscalingoftemperaturevariationsoverthecanadianprairieprovincesunderclimatechange
AT qianguolin dynamicaldownscalingoftemperaturevariationsoverthecanadianprairieprovincesunderclimatechange
AT denghuayan dynamicaldownscalingoftemperaturevariationsoverthecanadianprairieprovincesunderclimatechange
AT xiaojiahe dynamicaldownscalingoftemperaturevariationsoverthecanadianprairieprovincesunderclimatechange
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