Comparison of sea-ice extent and ice-edge location estimates from passive microwave and enhanced-resolution scatterometer data

Abstract Passive microwave sea-ice concentration fields provide some of the longest-running and most consistent records of changes in sea ice. Scatterometry-based sea-ice fields are more recently developed data products, but now they provide a record of ice conditions spanning several years. Resolution enhancement techniques applied to scatterometer fields provide much higher effective resolutions (~10 km) than are available from standard scatterometer and passive microwave fields (25–50 km). Here we examine ice-extent fields from both sources and find that there is general agreement between scatterometer data and passive microwave fields, though scatterometer estimates yield substantially lower ice extents during winter. Comparisons with ice-edge locations estimated from AVHRR imagery indicate that enhanced scatterometer data can sometimes provide an improved edge location, but there is substantial variation in the results, depending on the local conditions. A blended product, using both scatterometer and passive microwave data, could yield improved results.

[1]  Donald J. Cavalieri,et al.  Deriving long‐term time series of sea ice cover from satellite passive‐microwave multisensor data sets , 1999 .

[2]  R. L. Balthazor,et al.  Morphology of large-scale traveling atmospheric disturbances in the polar thermosphere , 1999 .

[3]  David G. Long,et al.  Spatial resolution enhancement of SSM/I data , 1998, IEEE Trans. Geosci. Remote. Sens..

[4]  H. J. Zwally,et al.  Concentration gradients and growth/decay characteristics of the seasonal sea ice cover , 1984 .

[5]  Ron Kwok,et al.  Sea ice motion from satellite passive microwave imagery assessed with ERS SAR and buoy motions , 1998 .

[6]  Kim C. Partington,et al.  A data fusion algorithm for mapping sea-ice concentrations from Special Sensor Microwave/Imager data , 2000, IEEE Trans. Geosci. Remote. Sens..

[7]  David G. Long,et al.  Sea ice extent mapping using Ku band scatterometer data , 1999 .

[8]  David G. Long,et al.  Iterative estimation of Antarctic sea ice extent using SeaWinds data , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[9]  T. Markus,et al.  A method to estimate subpixel‐scale coastal polynyas with satellite passive microwave data , 1995 .

[10]  Thorsten Markus,et al.  Assessment of the AMSR-E Sea Ice-Concentration Product at the Ice Edge Using RADARSAT-1 and MODIS Imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.

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

[12]  S. Kern,et al.  Sea-ice concentration retrieval in the Antarctic based on the SSM/ I 85.5 GHz polarization , 2001, Annals of Glaciology.

[13]  Georg Heygster,et al.  Improved determination of the sea ice edge with SSM/I data for small-scale analyses , 1998, IEEE Trans. Geosci. Remote. Sens..

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

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

[16]  David G. Long,et al.  Image reconstruction and enhanced resolution imaging from irregular samples , 2001, IEEE Trans. Geosci. Remote. Sens..

[17]  Walter N. Meier,et al.  Comparison of passive microwave ice concentration algorithm retrievals with AVHRR imagery in arctic peripheral seas , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Donald J. Cavalieri,et al.  Passive microwave algorithms for sea ice concentration: A comparison of two techniques , 1997 .

[19]  David G. Long,et al.  Resolution enhancement of spaceborne scatterometer data , 1993, IEEE Trans. Geosci. Remote. Sens..