Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec

Seasonal Freeze-Thaw (FT) dynamics are among the most important landscape processes, influencing ground thermal and hydrological characteristics across cold regions. These impacts can further affect the environmental processes, socio-economic, and cultural activities developed around the use of land...

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Main Author: Hatami Majoumerd, Shadi
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://spectrum.library.concordia.ca/id/eprint/989105/
https://spectrum.library.concordia.ca/id/eprint/989105/7/Hatami_PhD_F2021.pdf
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spelling ftconcordiauniv:oai:https://spectrum.library.concordia.ca:989105 2023-11-05T03:44:36+01:00 Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec Hatami Majoumerd, Shadi 2021-07-27 text https://spectrum.library.concordia.ca/id/eprint/989105/ https://spectrum.library.concordia.ca/id/eprint/989105/7/Hatami_PhD_F2021.pdf en eng https://spectrum.library.concordia.ca/id/eprint/989105/7/Hatami_PhD_F2021.pdf Hatami Majoumerd, Shadi orcid:0000-0002-0048-8144 (2021) Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec. PhD thesis, Concordia University. Thesis NonPeerReviewed 2021 ftconcordiauniv 2023-10-07T23:01:17Z Seasonal Freeze-Thaw (FT) dynamics are among the most important landscape processes, influencing ground thermal and hydrological characteristics across cold regions. These impacts can further affect the environmental processes, socio-economic, and cultural activities developed around the use of lands and waters. From a physical perspective and at the large spatial and regional scales, temperature and snow depth are the key drivers of variability in the timing and distribution of FT dynamics. However, climate change has significantly affected both temperature and snow depth over the past decades, and thus FT dynamics in time and space. As a result, it is of a great importance to understand and quantify the control of changing climate on FT characteristics and project future states of FT characteristics subject to future climatic projections. This knowledge and modeling capability can provide an invaluable information for agricultural activities, infrastructure design and maintenance, monitoring the ecosystem’s livelihood, and estimating land-induced greenhouse gas emissions due to permafrost degradation. This thesis provides a generic and globally relevant statistical framework to quantify the compound control of temperature and snow depth on FT dynamics over different spatiotemporal scales. A set of gridded observed temperature and snow depth data with the remotely sensed state of the frozen soil are utilized as basis for understanding the climate control on FT dynamics and their spatiotemporal variability. Using these gridded data records, it is possible to greatly overcome the limitations in using station-based data, particularly at higher latitudes. Utilizing future projections of climate models along with a rigorous data processing step and different statistical methodologies, future projections of precipitation type, snow depth, and FT can be obtained over the required spatial and temporal resolutions. Although statistical models have been widely used to address the impact of changing climate on different ... Thesis permafrost Spectrum: Concordia University Research Repository (Montreal)
institution Open Polar
collection Spectrum: Concordia University Research Repository (Montreal)
op_collection_id ftconcordiauniv
language English
description Seasonal Freeze-Thaw (FT) dynamics are among the most important landscape processes, influencing ground thermal and hydrological characteristics across cold regions. These impacts can further affect the environmental processes, socio-economic, and cultural activities developed around the use of lands and waters. From a physical perspective and at the large spatial and regional scales, temperature and snow depth are the key drivers of variability in the timing and distribution of FT dynamics. However, climate change has significantly affected both temperature and snow depth over the past decades, and thus FT dynamics in time and space. As a result, it is of a great importance to understand and quantify the control of changing climate on FT characteristics and project future states of FT characteristics subject to future climatic projections. This knowledge and modeling capability can provide an invaluable information for agricultural activities, infrastructure design and maintenance, monitoring the ecosystem’s livelihood, and estimating land-induced greenhouse gas emissions due to permafrost degradation. This thesis provides a generic and globally relevant statistical framework to quantify the compound control of temperature and snow depth on FT dynamics over different spatiotemporal scales. A set of gridded observed temperature and snow depth data with the remotely sensed state of the frozen soil are utilized as basis for understanding the climate control on FT dynamics and their spatiotemporal variability. Using these gridded data records, it is possible to greatly overcome the limitations in using station-based data, particularly at higher latitudes. Utilizing future projections of climate models along with a rigorous data processing step and different statistical methodologies, future projections of precipitation type, snow depth, and FT can be obtained over the required spatial and temporal resolutions. Although statistical models have been widely used to address the impact of changing climate on different ...
format Thesis
author Hatami Majoumerd, Shadi
spellingShingle Hatami Majoumerd, Shadi
Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec
author_facet Hatami Majoumerd, Shadi
author_sort Hatami Majoumerd, Shadi
title Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec
title_short Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec
title_full Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec
title_fullStr Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec
title_full_unstemmed Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec
title_sort development of a global statistical framework for estimating landscape freeze-thaw under changing climate conditions with application to québec
publishDate 2021
url https://spectrum.library.concordia.ca/id/eprint/989105/
https://spectrum.library.concordia.ca/id/eprint/989105/7/Hatami_PhD_F2021.pdf
genre permafrost
genre_facet permafrost
op_relation https://spectrum.library.concordia.ca/id/eprint/989105/7/Hatami_PhD_F2021.pdf
Hatami Majoumerd, Shadi orcid:0000-0002-0048-8144 (2021) Development of a Global Statistical Framework for Estimating Landscape Freeze-Thaw under Changing Climate Conditions with Application to Québec. PhD thesis, Concordia University.
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