Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ...
The monitoring of weather is required for climate studies, research, and forecasting. For the monitoring purpose, three networks of 19 stations i.e., Water Quantity Program (WQP), Meteorological Towers (MT), and Edge Sites (ES) were operational in Athabasca oil sands region. The overall objective of...
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Online Access: | https://dx.doi.org/10.11575/prism/40703 https://prism.ucalgary.ca/handle/1880/115798 |
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ftdatacite:10.11575/prism/40703 2023-11-05T03:40:20+01:00 Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... Deshmukh, Dhananjay 2023 https://dx.doi.org/10.11575/prism/40703 https://prism.ucalgary.ca/handle/1880/115798 en eng Schulich School of Engineering University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. correlation analysis similarity analysis weather network optimization wind speed and direction rationalization Athabasca river basin weather redundancy climate Engineering Engineering--Environmental article doctoral thesis CreativeWork Other 2023 ftdatacite https://doi.org/10.11575/prism/40703 2023-10-09T11:06:44Z The monitoring of weather is required for climate studies, research, and forecasting. For the monitoring purpose, three networks of 19 stations i.e., Water Quantity Program (WQP), Meteorological Towers (MT), and Edge Sites (ES) were operational in Athabasca oil sands region. The overall objective of the study was to identify similarities/redundancies in meteorological observations for the optimization of weather networks. For this, firstly similarity among meteorological parameters have been quantified for air temperature (AT), relative humidity (RH), solar radiation (SR), barometric pressure (BP), precipitation (PR), and snow depth (SD) among station-pairs of each network. In this process, Pearson’s correlation coefficient (r) and average absolute error (AAE) were the best representative measures from the methods of association and coincidence while proposed percentage of similarity (PS%) was the best in comparison to r and AAE to quantify the similarity. Further, RH found to be the least variable with ... Article in Journal/Newspaper Athabasca River DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
correlation analysis similarity analysis weather network optimization wind speed and direction rationalization Athabasca river basin weather redundancy climate Engineering Engineering--Environmental |
spellingShingle |
correlation analysis similarity analysis weather network optimization wind speed and direction rationalization Athabasca river basin weather redundancy climate Engineering Engineering--Environmental Deshmukh, Dhananjay Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... |
topic_facet |
correlation analysis similarity analysis weather network optimization wind speed and direction rationalization Athabasca river basin weather redundancy climate Engineering Engineering--Environmental |
description |
The monitoring of weather is required for climate studies, research, and forecasting. For the monitoring purpose, three networks of 19 stations i.e., Water Quantity Program (WQP), Meteorological Towers (MT), and Edge Sites (ES) were operational in Athabasca oil sands region. The overall objective of the study was to identify similarities/redundancies in meteorological observations for the optimization of weather networks. For this, firstly similarity among meteorological parameters have been quantified for air temperature (AT), relative humidity (RH), solar radiation (SR), barometric pressure (BP), precipitation (PR), and snow depth (SD) among station-pairs of each network. In this process, Pearson’s correlation coefficient (r) and average absolute error (AAE) were the best representative measures from the methods of association and coincidence while proposed percentage of similarity (PS%) was the best in comparison to r and AAE to quantify the similarity. Further, RH found to be the least variable with ... |
format |
Article in Journal/Newspaper |
author |
Deshmukh, Dhananjay |
author_facet |
Deshmukh, Dhananjay |
author_sort |
Deshmukh, Dhananjay |
title |
Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... |
title_short |
Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... |
title_full |
Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... |
title_fullStr |
Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... |
title_full_unstemmed |
Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region ... |
title_sort |
evaluation and optimization of weather networks in athabasca oil sands region ... |
publisher |
Schulich School of Engineering |
publishDate |
2023 |
url |
https://dx.doi.org/10.11575/prism/40703 https://prism.ucalgary.ca/handle/1880/115798 |
genre |
Athabasca River |
genre_facet |
Athabasca River |
op_rights |
University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. |
op_doi |
https://doi.org/10.11575/prism/40703 |
_version_ |
1781696362164781056 |