Error analysis of real-time remotely sensed microwave sea-ice motions in the Western Arctic Ocean
An algorithm used to composite SSM/I 85.5 GHz imagery and derive sea ice motion was adapted for operational testing at Fleet Numerical Meteorology and Oceanography Command (FNMOC). A feature tracking technique was applied to a 6-month period, with data provided by FNMOC and the Naval Research Labora...
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| Format: | Thesis |
| Language: | English |
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Monterey, California. Naval Postgraduate School
2000
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| Online Access: | https://hdl.handle.net/10945/9399 http://handle.dtic.mil/100.2/ADA386446 |
| Summary: | An algorithm used to composite SSM/I 85.5 GHz imagery and derive sea ice motion was adapted for operational testing at Fleet Numerical Meteorology and Oceanography Command (FNMOC). A feature tracking technique was applied to a 6-month period, with data provided by FNMOC and the Naval Research Laboratory (NRL). Ice motions are detectable using the SSM/I motion algorithm, and fields of SSM/I motion vectors are qualitatively consistent with coincident fields of in situ buoy motion vectors. Accuracy of the SSM/I motion vectors relative to buoy motion vectors increase significantly with buoy speed. No correlation between SSM/I and buoy motion vectors is observed for speeds below 3 cm/s and correlation increases significantly above 5 cm/s. The results are very sensitive to compositing techniques used to combine SSM/I passes into a single sea ice representation. FNMOC data was composited using a "drop-in-the-bucket" technique while NRL data was composited by a bilinear interpolation technique. Significantly poorer results were found with ENMOC composited data. Approved for public release; distribution is unlimited. U.S. Navy (U.S.N.) author. http://archive.org/details/errornalysisofre109459399 |
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