Browsing Systems Design Engineering by Supervisor "Scott, K. Andrea"
Now showing items 1-5 of 5
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Data-driven Regularization and Uncertainty Estimation to Improve Sea Ice Data Assimilation
(University of Waterloo, 2019-06-20)Accurate estimates of sea ice conditions such as ice thickness and ice concentration in the ice-covered regions are critical for shipping activities, ice operations and weather forecasting. The need for this information ... -
Diagonal Approximations to the Observation Error Covariance Matrix in Sea Ice Thickness Data Assimilation
(University of Waterloo, 2017-03-09)Data assimilation is a statistical technique for combining observations of a physical system with the state of a numerical model of that system. The procedure yields a new and ideally improved state estimate called the ... -
River Ice Segmentation under a Limited Compute and Annotation Budget
(University of Waterloo, 2022-05-05)River ice segmentation, used to differentiate ice and water, can give valuable information regarding ice cover and ice distribution. These are important factors when evaluating flooding risks caused by ice jams that may ... -
Sea ice segmentation in SAR images using Deep Learning
(University of Waterloo, 2020-09-17)Sea ice covers over seven percent of the world's oceans. Due to the effect of global warming, Arctic's ice extent has decreased significantly in the past decades. This reduction in sea ice cover is opening new pathways for ... -
Turbulence in stably stratified boundary layers
(University of Waterloo, 2020-11-26)In this thesis, turbulence dynamics for a stably stratified boundary layer is studied. The processes by which stable boundary layers are formed through strong surface cooling imposed on neutrally stratified wall-bounded ...