DocumentCode
298891
Title
Time series analysis of SMMR and SSM/I data for climate change detection
Author
Johannessen, O.M. ; Miles, M.W. ; Bjorgo, E.
Author_Institution
Nansen Environ. & Remote Sensing Center, Bergen, Norway
Volume
1
fYear
34881
fDate
10-14 Jul1995
Firstpage
625
Abstract
Sea ice is a sensitive component of the climate system, such that reductions in the Arctic and Antarctic sea ice covers could be indicative of greenhouse warming. The most consistent source of information on sea ice parameters is microwave remote sensing from polar-orbiting satellites. Previous analyses of Scanning Multichannel Microwave Radiometer (SMMR) data from 1978-87 revealed a significant decrease in Arctic sea ice extent with no changes in the Antarctic. The authors extend the record to 1994 by including data from the subsequent Special Sensor Microwave Imager (SSM/I). This involves intercalibrating the SMMR-SSM/I data during their six-week overlap period, achieved at the sea ice concentration level using the NORSEX algorithm. Time series analysis of the merged 1978-94 continuous sea ice time series reveals continued decreases in Arctic ice extent and area. Moreover, the authors find a slight decrease in Antarctic ice extent during the period. The brevity of the records reiterates the need for longer, continuous microwave time series to identify long-term trends
Keywords
microwave measurement; millimetre wave measurement; oceanographic regions; radiometry; remote sensing; sea ice; AD 1978 to 1994; Antarctic sea ice cover; Arctic Ocean; SMMR; SSM/I; Southern Ocean; area; climate change; extent; long-term trend; microwave radiometry; microwave remote sensing; ocean; polar region; sea ice; sea surface; spatial distribution; Antarctica; Arctic; Electromagnetic heating; Image sensors; Information resources; Microwave radiometry; Remote sensing; Satellite broadcasting; Sea ice; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location
Firenze
Print_ISBN
0-7803-2567-2
Type
conf
DOI
10.1109/IGARSS.1995.520475
Filename
520475
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