@article{
 title = {Evaluation of front detection methods for satellite-derived SST data using in situ observations},
 type = {article},
 year = {2000},
 identifiers = {[object Object]},
 pages = {1667-1675},
 volume = {17},
 websites = {http://dx.doi.org/10.1175/1520-0426(2000)017<1667:EOFDMF>2.0.CO;2},
 publisher = {American Meteorological Society},
 id = {880d724b-0c24-34ed-8517-ecbd8a43b1de},
 created = {2013-03-13T15:24:37.000Z},
 file_attached = {false},
 profile_id = {e1558f6e-62d1-3c37-86bf-f78fbeac509d},
 group_id = {3addd0f7-d578-34d3-be80-24022cc062a1},
 last_modified = {2017-03-14T12:29:49.371Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Ullman2000},
 source_type = {Journal Article},
 notes = {Journal Article},
 folder_uuids = {41c4e34e-5b36-4ff3-b018-1915546d3dc2},
 private_publication = {false},
 abstract = {Sea surface temperature (SST) fronts detected in Advanced Very High Resolution Radiometer (AVHRR) data using automated edge-detection algorithms were compared to fronts found in continuous measurements of SST made aboard a ship of opportunity. Two histograms (a single-image and a multi-image method) and one gradient algorithm were tested for the occurrence of two types of errors: (a) the detection of false fronts and (b) the failure to detect fronts observed in the in situ data. False front error rates were lower for the histogram methods (27%–28%) than for the gradient method (45%). Considering only AVHRR fronts for which the SST gradient along the ship track was greater than 0.1°C km−1, error rates drop to 14% for the histogram methods and 29% for the gradient method. Missed front error rates were lower using the gradient method (16%) than the histogram methods (30%). This error rate drops significantly for the histogram methods (5%–10%) if fronts associated with small-scale SST features (<10 km) are omitted from the comparison. These results suggest that frontal climatologies developed from the application of automated edge-detection methods to long time series of AVHRR images provide acceptably accurate statistics on front occurrence.},
 bibtype = {article},
 author = {Ullman, D S and Cornillon, P C and Anonymous, undefined},
 journal = {Journal of Atmospheric and Oceanic Technology},
 number = {12}
}

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