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Iceberg size and orientation estimation using SeaWinds
Abstract SeaWinds scatterometer data from 1999 to 2009 has been used to detect and track large Antarctic icebergs on a daily basis. Here, we develop two estimation algorithms to supplement iceberg position reports with estimates of the iceberg's major-axis length, minor-axis length, and angle of rotational orientation. The first algorithm is an image-based approach while the second is based on raw SeaWinds measurements. Maximum-likelihood objective functions that relate SeaWinds backscatter observations to model predictions are developed. The utility of both estimation approaches is analyzed in simulation and with actual data via a case study of iceberg A22a. The image-based approach is found to outperform the measurement-based technique. Results are validated using high-resolution imagery. Estimates are also compared with reports compiled by the United States National Ice Center.
Highlights ► We develop a model to characterize the physical size and shape of tabular icebergs. ► Using satellite data, we develop two algorithms to estimate iceberg size and shape. ► Both methods perform well in simulation and case study. ► These algorithms enable daily iceberg estimates. ► These estimates may be used to supplement other modeling processes.
Iceberg size and orientation estimation using SeaWinds
Abstract SeaWinds scatterometer data from 1999 to 2009 has been used to detect and track large Antarctic icebergs on a daily basis. Here, we develop two estimation algorithms to supplement iceberg position reports with estimates of the iceberg's major-axis length, minor-axis length, and angle of rotational orientation. The first algorithm is an image-based approach while the second is based on raw SeaWinds measurements. Maximum-likelihood objective functions that relate SeaWinds backscatter observations to model predictions are developed. The utility of both estimation approaches is analyzed in simulation and with actual data via a case study of iceberg A22a. The image-based approach is found to outperform the measurement-based technique. Results are validated using high-resolution imagery. Estimates are also compared with reports compiled by the United States National Ice Center.
Highlights ► We develop a model to characterize the physical size and shape of tabular icebergs. ► Using satellite data, we develop two algorithms to estimate iceberg size and shape. ► Both methods perform well in simulation and case study. ► These algorithms enable daily iceberg estimates. ► These estimates may be used to supplement other modeling processes.
Iceberg size and orientation estimation using SeaWinds
Stuart, K.M. (author) / Long, D.G. (author)
Cold Regions, Science and Technology ; 69 ; 39-51
2011-07-16
13 pages
Article (Journal)
Electronic Resource
English
Iceberg size and orientation estimation using SeaWinds
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