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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MDPI AG
2021
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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) |
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dynamical downscaling projected variations Canadian Prairies global warming Science Q |
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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 |
_version_ |
1718431625915662336 |