DocumentCode :
66349
Title :
Mitigation of Sea Ice Contamination in QuikSCAT Wind Retrieval
Author :
Hullinger, Weston J. ; Long, David G.
Author_Institution :
Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT, USA
Volume :
52
Issue :
4
fYear :
2014
fDate :
Apr-14
Firstpage :
2149
Lastpage :
2158
Abstract :
Scatterometers provide frequent estimates of near-surface wind vectors over the Earth´s oceans. However, in the polar oceans, the presence of sea ice in or near the measurement footprint can adversely affect scatterometer measurements, resulting in inaccurate wind estimates. Currently, such ice contamination is mitigated by discarding measurements within 50 km of the detected sea ice. This approach is imperfect and causes loss of coverage. We present a new algorithm that detects ice-contaminated measurements based on a metric called the ice contribution ratio (ICR), which measures the spatial ice contribution for each measurement. Determined by simulation, we threshold the ICR depending on local wind, ice backscatter, and cross-track location. Using ICR processing, wind is retrieved almost 40 km closer to sea ice than has been previously possible, while ensuring wind accuracy. Using ICR processing, retrieved wind distributions more closely resemble uncontaminated distributions than winds retrieved using previous methods. The algorithm is applied to QuikSCAT in this paper, but could be applied to other scatterometers such as the Oceansat-2 scatterometer.
Keywords :
atmospheric measuring apparatus; atmospheric techniques; sea ice; wind; Earth oceans; ICR processing; Oceansat-2 scatterometer; QuikSCAT wind retrieval; cross-track location; ice backscatter; ice contribution ratio; ice-contaminated measurements; local wind; measurement footprint; near-surface wind vectors; polar oceans; scatterometer measurements; sea ice contamination; spatial ice contribution; uncontaminated wind distributions; wind accuracy; wind estimates; QuikCSAT; remote sensing; scatterometry; sea ice; wind; wind retrieval;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2258400
Filename :
6517225
Link To Document :
بازگشت