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Operational Implementation of Sea Ice Concentration Estimates from the AMSR2 SensorAn operation implementation of a passive microwave sea ice concentration algorithm to support NOAA's operational mission is presented. The NASA team 2 algorithm, previously developed for the NASA advanced microwave scanning radiometer for the Earth observing system (AMSR-E) product suite, is adapted for operational use with the JAXA AMSR2 sensor through several enhancements. First, the algorithm is modified to process individual swaths and provide concentration from the most recent swaths instead of a 24-hour average. A latency (time since observation) field and a 24-hour concentration range (maximum-minimum) are included to provide indications of data timeliness and variability. Concentration from the Bootstrap algorithm is a secondary field to provide complementary sea ice information. A quality flag is implemented to provide information on interpolation, filtering, and other quality control steps. The AMSR2 concentration fields are compared with a different AMSR2 passive microwave product, and then validated via comparison with sea ice concentration from the Suomi visible and infrared imaging radiometer suite. This validation indicates the AMSR2 concentrations have a bias of 3.9% and an RMSE of 11.0% in the Arctic, and a bias of 4.45% and RMSE of 8.8% in the Antarctic. In most cases, the NOAA operational requirements for accuracy are met. However, in low-concentration regimes, such as during melt and near the ice edge, errors are higher because of the limitations of passive microwave sensors and the algorithm retrieval.
Document ID
20170005809
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Meier, Walter N.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Stewart, J. Scott
(National Snow and Ice Data Center (NSIDC) Boulder, CO, United States)
Liu, Yinghui
(Wisconsin Univ. Madison, WI, United States)
Key, Jeffrey
(National Oceanic and Atmospheric Administration Madison, WI, United States)
Miller, Jeffrey A.
(Wyle Information Systems, LLC Greenbelt, MD, United States)
Date Acquired
June 28, 2017
Publication Date
May 2, 2017
Publication Information
Publication: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publisher: IEEE
Volume: PP
Issue: 99
ISSN: 1939-1404
e-ISSN: 2151-1535
Subject Category
Earth Resources And Remote Sensing
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN43563
Funding Number(s)
CONTRACT_GRANT: NNG12PL17C
Distribution Limits
Public
Copyright
Other
Keywords
Arctic
sea ice
AMSR2
passive microwave
remote sensing
Antarctic

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