Deriving long-term time series of sea ice cover from satellite passive-microwave multisensor data sets
We have generated consistent sea ice extent and area data records spanning 18.2 years from passive‐microwave radiances obtained with the Nimbus 7 scanning multichannel microwave radiometer and with the Defense Meteorological Satellite Program F8, F11, and F13 special sensor microwave/imagers. The go...
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Published in: | Journal of Geophysical Research, Washington, DC Vol. 104; no. C7; pp. 15803 - 15814 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Washington, DC
Blackwell Publishing Ltd
15-07-1999
American Geophysical Union |
Subjects: | |
Online Access: | Get full text |
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Summary: | We have generated consistent sea ice extent and area data records spanning 18.2 years from passive‐microwave radiances obtained with the Nimbus 7 scanning multichannel microwave radiometer and with the Defense Meteorological Satellite Program F8, F11, and F13 special sensor microwave/imagers. The goal in the creation of these data was to produce a long‐term, consistent set of sea ice extents and areas that provides the means for reliably determining sea ice variability over the 18.2‐year period and also serves as a baseline for future measurements. We describe the method used to match the sea ice extents and areas from these four multichannel sensors and summarize the problems encountered when working with radiances from sensors having different frequencies, different footprint sizes, different visit times, and different calibrations. A major obstacle to adjusting for these differences is the lack of a complete year of overlapping data from sequential sensors. Nonetheless, our procedure reduced ice extent differences during periods of sensor overlap to less than 0.05% and ice area differences to 0.6% or less. |
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Bibliography: | istex:C15AD91AB9E38CE1E666D144AE50D9064C8DE229 ark:/67375/WNG-R6L2QSGQ-9 ArticleID:1999JC900081 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0148-0227 2169-9275 2156-2202 2169-9291 |
DOI: | 10.1029/1999JC900081 |