Atmospheric Correction of Sea Ice Concentration Retrieval for 89 GHz AMSR-E Observations

An improved sea ice concentration (SIC) retrieval algorithm named ASI2 that uses weather corrected polarization difference (PD) of brightness temperatures (TBs) at 89 GHz measured by AMSR-E/2 is developed. Effects of wind, total water vapor, liquid water path, and surface temperature on the TBs are evaluated through a radiative transfer model. TBs of open ocean yield higher sensitivity to the atmospheric water due to its low emissivity, whereas that of sea ice is more influenced by the surface conditions such as temperature and ice type. The weather effects are corrected by simulating changes in TBs caused by the atmospheric water absorption/emission and wind roughened ocean surface using numerical weather prediction reanalysis data fields as atmospheric profiles. ASI2 is validated on a collection of AMSR-E observations over open water and 100% SIC. The correction significantly reduces the standard deviation and bias of SIC over open water, yet yields little change over 100% SIC. Combined with an improved weather filter based on the corrected TBs at lower frequencies, ASI2 allows retrieval of low ice concentration and resolves a more exact ice concentration gradient across the ice edge compared to the original ASI algorithm.

[1]  D. M. Smith Extraction of winter total sea-ice concentration in the Greenland and Barents Seas from SSM/I data , 1996 .

[2]  Thorsten Markus,et al.  An enhancement of the NASA Team sea ice algorithm , 2000, IEEE Trans. Geosci. Remote. Sens..

[3]  S. Kern,et al.  Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations , 2015 .

[4]  Thorsten Markus,et al.  Sea ice concentration, ice temperature, and snow depth using AMSR-E data , 2003, IEEE Trans. Geosci. Remote. Sens..

[5]  Axel Schweiger,et al.  Evaluation of Seven Different Atmospheric Reanalysis Products in the Arctic , 2014 .

[6]  Takashi Maeda,et al.  GCOM-W1 AMSR2 Level 1R Product: Dataset of Brightness Temperature Modified Using the Antenna Pattern Matching Technique , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[7]  David G. Barber,et al.  Field observations of the electromagnetic properties of first-year sea ice , 1998, IEEE Trans. Geosci. Remote. Sens..

[8]  Natalia Ivanova,et al.  Response of passive microwave sea ice concentration algorithms to thin ice , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[9]  Thomas Meissner,et al.  The complex dielectric constant of pure and sea water from microwave satellite observations , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[10]  L. Kaleschke,et al.  Sea ice remote sensing using AMSR‐E 89‐GHz channels , 2008 .

[11]  Rasmus T. Tonboe,et al.  Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using numerical weather prediction model fields: An intercomparison of nine algorithms , 2006 .

[12]  J. Haarpaintner,et al.  SSM/I Sea Ice Remote Sensing for Mesoscale Ocean-Atmosphere Interaction Analysis , 2001 .

[13]  Thomas Meissner,et al.  AMSR Ocean Algorithm , 2000 .

[14]  W. Campbell,et al.  Determination of sea ice parameters with the NIMBUS 7 SMMR , 1984 .

[15]  Georg Heygster,et al.  Comparison of the ASI Ice Concentration Algorithm With Landsat-7 ETM+ and SAR Imagery , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[16]  E. Svendsen,et al.  A model for retrieving total sea ice concentration from a spaceborne dual-polarized passive microwave instrument operating near 90 GHz , 1987 .

[17]  Nizy Mathew,et al.  Surface Emissivity of the Arctic Sea Ice at AMSR-E Frequencies , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[18]  C. Swift,et al.  An improved model for the dielectric constant of sea water at microwave frequencies , 1977, IEEE Journal of Oceanic Engineering.

[19]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[20]  F. Wentz A well‐calibrated ocean algorithm for special sensor microwave / imager , 1997 .

[21]  Keiji Imaoka,et al.  Intercalibration of Advanced Microwave Scanning Radiometer-2 (AMSR2) Brightness Temperature , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[22]  K. Germain,et al.  Reduction of weather effects in the calculation of sea-ice concentration with the DMSP SSM/I , 1995 .

[23]  Lars Kaleschke,et al.  Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea , 2014, Remote. Sens..

[24]  S. Kern,et al.  A new method for medium-resolution sea ice analysis using weather-influence corrected Special Sensor Microwave/Imager 85 GHz data , 2004 .

[25]  E. Svendsen,et al.  Evolution of microwave sea ice signatures during early summer and midsummer in the marginal ice zone , 1987 .

[26]  Donald J. Cavalieri,et al.  Reduction of weather effects in the calculation of sea ice concentration from microwave radiances , 1986 .