Quantifying the Floe Size Distribution in the Marginal Ice Zone from Satellite Imagery for use in Model Development and Validation
Abstract
Several key processes in the Marginal Ice Zone (MIZ) of the Arctic Ocean are related to the size of the ice floes, whose diameters range from meters to tens of kilometers. The floe size distribution (FSD) influences mechanical properties of the ice and thus its response to winds, currents, and waves, which is likely to modify the air-sea momentum transfer. The FSD also influences the air-sea heat transfer and the response of the MIZ ice cover to the thermal forcing. The FSD also has a significant role in lateral melting. No existing sea-ice/ocean models currently simulate the FSD in the MIZ. Significant uncertainties in FSD-related processes hinder model incorporation of the FSD, and model development must heavily depend on observations of the FSD for parameterization, calibration, and validation. To support the development and implementation of the FSD in the Marginal Ice Zone Modeling and Assimilation System (MIZMAS), we have conducted an analysis of the FSD in the Beaufort and Chukchi seas using three sources of satellite imagery: NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites, the Canadian Space Agency's synthetic aperture radar (SAR) on RADARSAT, and declassified National Technical Means imagery from the Global Fiducials Library (GFL) of the U.S. Geological Survey. The MODIS visible and short-wave infrared bands have a pixel size of 250 meters, and are only useful in cloud-free regions. The SAR imagery is unaffected by clouds and darkness, and has a pixel size of 50 meters. The GFL visible imagery, with a pixel size of 1 meter, is only useful in cloud-free regions. The resolution and spatial extent of the various image products allows us to identify ice floes of all sizes from 10 meters to 100 kilometers. The general procedure for identifying ice floes in the imagery is as follows: delineate cloud-free regions (if necessary); choose a threshold to separate ice from water, and create a binary image; apply the morphological erosion operation to separate floes that touch each other; identify contiguous sets of pixels (floes) by a recursive algorithm; and apply the morphological dilation operation to restore (approximately) the floes to their original sizes and shapes. Once the floes in an image have been identified, any number of properties may be calculated: the centroid, length, width, area, perimeter, orientation, convexity, etc. We calculate the mean caliper diameter as a simple, single measure of the size of a floe. We report results on the observed FSD in the Beaufort and Chukchi seas, including its seasonal evolution and spatial variability. We outline how the results will be used in model development and validation of the FSD in the MIZMAS.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2013
- Bibcode:
- 2013AGUFMOS11B1656S
- Keywords:
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- 0750 CRYOSPHERE Sea ice;
- 0758 CRYOSPHERE Remote sensing;
- 0774 CRYOSPHERE Dynamics