Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation
The ice cover in the perennial region of the Arctic Circle has reduced signi cantly in recent years. Various models are available to predict the spatial and temporal evolution of the ice cover.Predictions from these models can be improved by incorporating satellite observations by the technique of d...
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2015
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ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/9308 2023-05-15T15:10:24+02:00 Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation Janjua, Harveen 2015-04-30 http://hdl.handle.net/10012/9308 en eng University of Waterloo http://hdl.handle.net/10012/9308 Data assimilation sea ice thickness background error covariance observation operator ship routing System Design Engineering Master Thesis 2015 ftunivwaterloo 2022-06-18T23:00:23Z The ice cover in the perennial region of the Arctic Circle has reduced signi cantly in recent years. Various models are available to predict the spatial and temporal evolution of the ice cover.Predictions from these models can be improved by incorporating satellite observations by the technique of data assimilation. In this thesis, ice thickness observations from Advanced Microwave Sensing Radiometer Earth (AMSR-E) and Moderate Resolution Imaging Spectro-Radiometer (MODIS) remote sensors are fused with that from an ice-ocean model using an optimal interpolation technique. It is assumed that the background error covariance matrix is static and the spatial correlations are modelled using a di usion operator. The observation error covariance matrix is diagonal and the observation operator is saturated to a threshold of 0.2 m for ice thickness observations from AMSR-E because ice thickness is negatively correlated to the polarization ratio for thin ice up to 0.2 m only. It is observed that when more observations are available the analysis from data fusion is closer to ice charts produced by Canadian Ice Services (CIS). One possible application of the system developed is in areas where ships need to be safely routed through ice infested water. This thesis presents a small example that tries to nd the path for a ship through thick ice. The impact of fusing perturbed observations with ice thickness data inferred from a satellite image on the ice thickness traversed and distance travelled is investigated. Master Thesis Arctic Sea ice University of Waterloo, Canada: Institutional Repository Arctic |
institution |
Open Polar |
collection |
University of Waterloo, Canada: Institutional Repository |
op_collection_id |
ftunivwaterloo |
language |
English |
topic |
Data assimilation sea ice thickness background error covariance observation operator ship routing System Design Engineering |
spellingShingle |
Data assimilation sea ice thickness background error covariance observation operator ship routing System Design Engineering Janjua, Harveen Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
topic_facet |
Data assimilation sea ice thickness background error covariance observation operator ship routing System Design Engineering |
description |
The ice cover in the perennial region of the Arctic Circle has reduced signi cantly in recent years. Various models are available to predict the spatial and temporal evolution of the ice cover.Predictions from these models can be improved by incorporating satellite observations by the technique of data assimilation. In this thesis, ice thickness observations from Advanced Microwave Sensing Radiometer Earth (AMSR-E) and Moderate Resolution Imaging Spectro-Radiometer (MODIS) remote sensors are fused with that from an ice-ocean model using an optimal interpolation technique. It is assumed that the background error covariance matrix is static and the spatial correlations are modelled using a di usion operator. The observation error covariance matrix is diagonal and the observation operator is saturated to a threshold of 0.2 m for ice thickness observations from AMSR-E because ice thickness is negatively correlated to the polarization ratio for thin ice up to 0.2 m only. It is observed that when more observations are available the analysis from data fusion is closer to ice charts produced by Canadian Ice Services (CIS). One possible application of the system developed is in areas where ships need to be safely routed through ice infested water. This thesis presents a small example that tries to nd the path for a ship through thick ice. The impact of fusing perturbed observations with ice thickness data inferred from a satellite image on the ice thickness traversed and distance travelled is investigated. |
format |
Master Thesis |
author |
Janjua, Harveen |
author_facet |
Janjua, Harveen |
author_sort |
Janjua, Harveen |
title |
Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
title_short |
Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
title_full |
Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
title_fullStr |
Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
title_full_unstemmed |
Fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
title_sort |
fusion of ice thickness from passive microwave data and ice ocean model for improved estimation |
publisher |
University of Waterloo |
publishDate |
2015 |
url |
http://hdl.handle.net/10012/9308 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
http://hdl.handle.net/10012/9308 |
_version_ |
1766341444995383296 |