Operational Implementation of Sea Ice Concentration Estimates From the AMSR2 Sensor

Details

• Alternative Title:
  An operational implementation of sea ice concentration estimates from the AMSR2 sensor
• Journal Title:
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Personal Author:
  Meier, Walter N. ; Stewart, J. Scott ; Liu, Yinghui ; Key, Jeffrey ; Miller, Jeffrey A.
• Corporate Authors:
  Goddard Space Flight Center ; University of Colorado Boulder ; Cooperative Institute for Research in Environmental Sciences ; National Snow and Ice Data Center ; Cooperative Institute for Meteorological Satellite Studies ; University of Wisconsin ; NOAA National Environmental Satellite, Data, and Information Service
• NOAA Program & Office:
  NESDIS (National Environmental Satellite, Data, and Information Service) ; CIMSS (Cooperative Institute for Meteorological Satellite Studies)
• Description:
  An 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.
• Content Notes:
  Funding from Fundref ID: 10.13039/100000192 National Oceanic and Atmospheric Administration Joint Polar Satellite System program
  
  Includes Awards from NOAA Oceanic and Atmospheric Research (OAR) Climate Program Office (NOAA OAR Climate Program):
  
  Award no. A10OAR4310088
  
  Includes Awards from NOAA National Marine Fisheries Service (NMFS) NOAA NMFS Northeast Fisheries Science Center (NOAA NEFSC):
  
  EcoMon Plankton 100m3 - Award no. unknown EcoMon Zooplankton NOAA NEFSC
  
  EcoMon Plankton 10m2 - Award no. unknown EcoMon Zooplankton NOAA NEFSC
  
  hydrodata - Award no. unknown Hydrography NOAA NEFSC
  
  
• Keywords:
  Advanced Microwave Scanning Radiometer Air Pollution AMSR2 Bootstrap Algorithm Brightness Temperature Cloud Liquid Water Daily Concentrations Estimation Of Concentration Grid Cells Ice Concentration Ice Cover Ice Edge Implementation Of Algorithm Implementation Performance Infrared Imaging Radiometer Suite Lookup Table Measurement Uncertainty Microwave FET Integrated Circuits Microwave Imaging Microwave Integrated Circuits Microwave Radiometry Mission Performance Passive Microwave Primary Field Production Operations Remote Sensing Root Mean Square Error Sea Ice Sea Ice Concentration Search Window Sea Surface Spatial Interpolation Standard Product Synthetic Aperture Radar

  More +
• Source:
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (9), 3904 - 3911
• DOI:
  https://doi.org/10.1109/jstars.2017.2693120
• ISSN:
  1939-1404 ; 2151-1535
• Format:
  PDF
• Publisher:
  Institute of Electrical and Electronics Engineers (IEEE)
• Document Type:
  Journal Article
• Place as Subject:
  Antarctic ; Arctic ; Northern Hemisphere ; Southern Hemisphere
• Rights Information:
  Accepted Manuscript
• Rights Statement:
  The NOAA IR provides access to this content under the authority of the government's retained license to distribute publications and data resulting from federal funding. While users may legally access this content, the copyright owners retain rights that govern the reproduction, redistribution, and re-use of this work. The user is solely responsible for complying with applicable copyright law.
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:1d1890f217e9ba12295cbddacb38a58b9a6c45a20cff2ccd98be09994139771f8f182d2a850acd911a65478417f6f5899efc173728d3a756ad89ff09c10b4724
• Download URL:
  https://repository.library.noaa.gov/view/noaa/65854/noaa_65854_DS1.pdf
• File Type:
  [PDF - 933.25 KB ]