Arctic-wide operational sea ice drift from enhanced-resolution QuikScat/SeaWinds scatterometry and its validation

The near-real-time enhanced-resolution QuikScat/SeaWinds (QS) scatterometry composite data are used for daily automatic 48-h sea ice tracking by maximum cross-correlation over the entire Arctic. A correlation window of 61 /spl times/ 61 pixels is used for best performance. Both QS polarizations, vertical (VV) and horizontal (HH), are used independently, which permits to filter the final results for erroneous vectors by comparing the two drift vectors, u/spl I.oarr//sub VV/ and u/spl I.oarr//sub HH/, respectively. Additional filtering is performed by setting a minimum correlation coefficient and by considering the spatial consistency of the motion field. The algorithm has been validated with winter 2002/2003 buoy data from the International Arctic Buoy Program showing error standard deviations in the 48-h displacement of 3.1 and 3.2 km in the latitude and longitude direction, respectively. This corresponds to an error standard deviation in ice drift speed of just 2.6 cm/s. Errors are largest in dynamic regions with lower ice concentrations as for example the southern Fram Strait. The enhanced-resolution data improve previous drift results by about 25%, but are still blurred by the necessary 36-h period to produce the composites.

[1]  David G. Long,et al.  Standard BYU QuikSCAT/SeaWinds Land/Ice Image Products , 2000 .

[2]  Tom Hirose,et al.  Estimation of Large-Scale Sea-Ice Motion from SSM/I 85.5 GHz Imagery , 1997 .

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

[4]  William J. Emery,et al.  Automated extraction of pack ice motion from advanced very high resolution radiometer imagery , 1986 .

[5]  Fridtjof Nansen,et al.  Northern Waters: Captain Roald Amundsen's Oceanographic Observations In The Arctic Seas In 1901 , 2008 .

[6]  Ron Kwok,et al.  Determination of the age distribution of sea ice from lagrangian observations of ice motion , 1995 .

[7]  R. Kwok,et al.  Seasonal ice area and volume production of the Arctic Ocean: November 1996 through April 1997 , 2002 .

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

[9]  Jörg Haarpaintner SEA ICE CLASSIFICATION OF ERS-2 SAR IMAGES BASED ON A NESTED-CORRELATION ICE-TRACKING ALGORITHM , 2002 .

[10]  David G. Long,et al.  Automatic detection and validity of the sea-ice edge: an application of enhanced-resolution QuikScat/SeaWinds data , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Ron Kwok,et al.  Fram Strait sea ice outflow , 2004 .

[12]  R. Colony,et al.  Sea ice motion in response to geostrophic winds , 1982 .

[13]  David G. Long,et al.  Validation of sea ice motion from QuikSCAT with those from SSM/I and buoy , 2001, IEEE Trans. Geosci. Remote. Sens..

[14]  Ronald Kwok,et al.  Determination of the age distribution of sea ice from lagrangian observations of ice motion , 1995, IEEE Transactions on Geoscience and Remote Sensing.