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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Main Author: Deshmukh, Dhananjay
Format: Article in Journal/Newspaper
Language:English
Published: Schulich School of Engineering 2023
Subjects:
Online Access:https://dx.doi.org/10.11575/prism/40703
https://prism.ucalgary.ca/handle/1880/115798
id ftdatacite:10.11575/prism/40703
record_format openpolar
spelling 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)
institution 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
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