Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling
Late-winter snow thickness on first-year sea ice is estimated based on the duration of snowmelt. The study encompasses the late-winter to advanced-melt period. The beginning of snowmelt is detected using space-borne C-band microwave scatterometer measurements, and the end of snowmelt is detected usi...
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2017
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Online Access: | http://hdl.handle.net/11023/3574 https://doi.org/10.11575/PRISM/27807 |
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ftunivcalgary:oai:prism.ucalgary.ca:11023/3574 2023-08-27T04:07:57+02:00 Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling Zheng, Jiacheng Yackel, John Else, Brent Michael, Sideris 2017 application/pdf http://hdl.handle.net/11023/3574 https://doi.org/10.11575/PRISM/27807 eng eng Graduate Studies University of Calgary Calgary Zheng, J. (2017). Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27807 http://dx.doi.org/10.11575/PRISM/27807 http://hdl.handle.net/11023/3574 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. Physical Geography Remote Sensing Sea ice Modelling Snow Microwave Cryosphere Canadian Arctic master thesis 2017 ftunivcalgary https://doi.org/10.11575/PRISM/27807 2023-08-06T06:22:44Z Late-winter snow thickness on first-year sea ice is estimated based on the duration of snowmelt. The study encompasses the late-winter to advanced-melt period. The beginning of snowmelt is detected using space-borne C-band microwave scatterometer measurements, and the end of snowmelt is detected using optical satellite measurements. The snowmelt duration is then used to invert a degree-day snowmelt model based on air temperature, and a melt coefficient is calibrated with in situ observations. The modelled snow thickness estimation is validated with distributed in situ measurements of snow thickness throughout Dease Strait, Nunavut, Canada. The mean snowmelt duration for the study sites is 24.6 ± 1.2 days, and the estimated mean snow thickness is 14.7 ± 3.0 cm. The overall performance of the model reveals a RMSE of 27.1% and a bias of 1.8%. The methodology shows promise, and it can easily be scaled up to estimate snow thickness on a regional basis. Master Thesis Arctic Nunavut Sea ice PRISM - University of Calgary Digital Repository Arctic Canada Dease Strait ENVELOPE(-107.502,-107.502,68.834,68.834) Nunavut |
institution |
Open Polar |
collection |
PRISM - University of Calgary Digital Repository |
op_collection_id |
ftunivcalgary |
language |
English |
topic |
Physical Geography Remote Sensing Sea ice Modelling Snow Microwave Cryosphere Canadian Arctic |
spellingShingle |
Physical Geography Remote Sensing Sea ice Modelling Snow Microwave Cryosphere Canadian Arctic Zheng, Jiacheng Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling |
topic_facet |
Physical Geography Remote Sensing Sea ice Modelling Snow Microwave Cryosphere Canadian Arctic |
description |
Late-winter snow thickness on first-year sea ice is estimated based on the duration of snowmelt. The study encompasses the late-winter to advanced-melt period. The beginning of snowmelt is detected using space-borne C-band microwave scatterometer measurements, and the end of snowmelt is detected using optical satellite measurements. The snowmelt duration is then used to invert a degree-day snowmelt model based on air temperature, and a melt coefficient is calibrated with in situ observations. The modelled snow thickness estimation is validated with distributed in situ measurements of snow thickness throughout Dease Strait, Nunavut, Canada. The mean snowmelt duration for the study sites is 24.6 ± 1.2 days, and the estimated mean snow thickness is 14.7 ± 3.0 cm. The overall performance of the model reveals a RMSE of 27.1% and a bias of 1.8%. The methodology shows promise, and it can easily be scaled up to estimate snow thickness on a regional basis. |
author2 |
Yackel, John Else, Brent Michael, Sideris |
format |
Master Thesis |
author |
Zheng, Jiacheng |
author_facet |
Zheng, Jiacheng |
author_sort |
Zheng, Jiacheng |
title |
Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling |
title_short |
Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling |
title_full |
Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling |
title_fullStr |
Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling |
title_full_unstemmed |
Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling |
title_sort |
snow thickness estimation on first-year sea ice from microwave and optical remote sensing and melt modelling |
publisher |
Graduate Studies |
publishDate |
2017 |
url |
http://hdl.handle.net/11023/3574 https://doi.org/10.11575/PRISM/27807 |
long_lat |
ENVELOPE(-107.502,-107.502,68.834,68.834) |
geographic |
Arctic Canada Dease Strait Nunavut |
geographic_facet |
Arctic Canada Dease Strait Nunavut |
genre |
Arctic Nunavut Sea ice |
genre_facet |
Arctic Nunavut Sea ice |
op_relation |
Zheng, J. (2017). Snow Thickness Estimation on First-Year Sea Ice from Microwave and Optical Remote Sensing and Melt Modelling (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27807 http://dx.doi.org/10.11575/PRISM/27807 http://hdl.handle.net/11023/3574 |
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/27807 |
_version_ |
1775348667917533184 |