Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software
Thesis (M.S.) University of Alaska Fairbanks, 2022 Understanding and modeling the permafrost system, hydrologic cycle, energy balance, and biologic systems in the Arctic are dependent, in part, on snow depth and snow distribution. Point-source snow measurements provide ground-truth observations of s...
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ftunivalaska:oai:scholarworks.alaska.edu:11122/13141 2023-05-15T14:56:55+02:00 Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software Szatkowski, Mary Bolton, W. Robert Stuefer, Svetlana Bennett, Katrina 2022-12 http://hdl.handle.net/11122/13141 en_US eng http://hdl.handle.net/11122/13141 Department of Civil, Geological, and Environmental Engineering Snow North Slope Remote sensing Master of Science in Water and Environmental Science Concentration Hydrology Thesis ms 2022 ftunivalaska 2023-02-23T21:38:03Z Thesis (M.S.) University of Alaska Fairbanks, 2022 Understanding and modeling the permafrost system, hydrologic cycle, energy balance, and biologic systems in the Arctic are dependent, in part, on snow depth and snow distribution. Point-source snow measurements provide ground-truth observations of snow depth and snow water equivalent, although these measurements may be limited in their spatial and temporal distributions. Satellite-derived remote sensing products and gridded model output provide spatial coverage of snow properties, but their applicability is affected by their balance of resolution, computational speed, and accuracy confidence. The goal of this research is to assess the performance of three snow data products derived from remote sensing techniques as well as model output across the North Slope of Alaska with the International Land Model Benchmarking (ILAMB) Project software. Historic ground-based snow data, collected by agencies, academia, and industry, and dating from 1902 to 2021, was curated to create an ILAMB-compatible benchmark dataset for end-of-winter (EOW) snow depth and snow water equivalent (SWE) for the evaluation of the three snow data products: Canadian Sea Ice and Snow Evolution (CanSISE) network SWE; Arctic Boreal Vulnerability Experiment (ABoVE) snow depth; and Energy Exascale Earth System Model (E3SM) Earth Land Model (ELM) snow depth. The ILAMB evaluation results showed that the ABoVE data product is effective in providing the average EOW snow depth for regions of the North Slope but lacks representation of interannual and spatial variability of snow depth. Comparatively, the CanSISE data product and ELM results are inaccurate in magnitude for applicability across the North Slope of Alaska in addition to lacking representation of snow condition spatial variability. In interpreting ILAMB results, factors to consider were representation bias from inconsistent benchmark site distribution throughout the evaluated time period, the range of dates considered to represent the spring ... Thesis Arctic Ice north slope permafrost Sea ice Alaska University of Alaska: ScholarWorks@UA Arctic Fairbanks |
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Open Polar |
collection |
University of Alaska: ScholarWorks@UA |
op_collection_id |
ftunivalaska |
language |
English |
topic |
Snow North Slope Remote sensing Master of Science in Water and Environmental Science Concentration Hydrology |
spellingShingle |
Snow North Slope Remote sensing Master of Science in Water and Environmental Science Concentration Hydrology Szatkowski, Mary Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software |
topic_facet |
Snow North Slope Remote sensing Master of Science in Water and Environmental Science Concentration Hydrology |
description |
Thesis (M.S.) University of Alaska Fairbanks, 2022 Understanding and modeling the permafrost system, hydrologic cycle, energy balance, and biologic systems in the Arctic are dependent, in part, on snow depth and snow distribution. Point-source snow measurements provide ground-truth observations of snow depth and snow water equivalent, although these measurements may be limited in their spatial and temporal distributions. Satellite-derived remote sensing products and gridded model output provide spatial coverage of snow properties, but their applicability is affected by their balance of resolution, computational speed, and accuracy confidence. The goal of this research is to assess the performance of three snow data products derived from remote sensing techniques as well as model output across the North Slope of Alaska with the International Land Model Benchmarking (ILAMB) Project software. Historic ground-based snow data, collected by agencies, academia, and industry, and dating from 1902 to 2021, was curated to create an ILAMB-compatible benchmark dataset for end-of-winter (EOW) snow depth and snow water equivalent (SWE) for the evaluation of the three snow data products: Canadian Sea Ice and Snow Evolution (CanSISE) network SWE; Arctic Boreal Vulnerability Experiment (ABoVE) snow depth; and Energy Exascale Earth System Model (E3SM) Earth Land Model (ELM) snow depth. The ILAMB evaluation results showed that the ABoVE data product is effective in providing the average EOW snow depth for regions of the North Slope but lacks representation of interannual and spatial variability of snow depth. Comparatively, the CanSISE data product and ELM results are inaccurate in magnitude for applicability across the North Slope of Alaska in addition to lacking representation of snow condition spatial variability. In interpreting ILAMB results, factors to consider were representation bias from inconsistent benchmark site distribution throughout the evaluated time period, the range of dates considered to represent the spring ... |
author2 |
Bolton, W. Robert Stuefer, Svetlana Bennett, Katrina |
format |
Thesis |
author |
Szatkowski, Mary |
author_facet |
Szatkowski, Mary |
author_sort |
Szatkowski, Mary |
title |
Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software |
title_short |
Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software |
title_full |
Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software |
title_fullStr |
Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software |
title_full_unstemmed |
Comparison of Arctic Alaska historical snow data with satellite-derived benchmarks and model results using ILAMB software |
title_sort |
comparison of arctic alaska historical snow data with satellite-derived benchmarks and model results using ilamb software |
publishDate |
2022 |
url |
http://hdl.handle.net/11122/13141 |
geographic |
Arctic Fairbanks |
geographic_facet |
Arctic Fairbanks |
genre |
Arctic Ice north slope permafrost Sea ice Alaska |
genre_facet |
Arctic Ice north slope permafrost Sea ice Alaska |
op_relation |
http://hdl.handle.net/11122/13141 Department of Civil, Geological, and Environmental Engineering |
_version_ |
1766328968624996352 |