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首页> 外文会议>Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International >Time series analysis of SMMR and SSM/I data for climate change detection
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Time series analysis of SMMR and SSM/I data for climate change detection

机译：用于监测气候变化的SMMR和SSM / I数据的时间序列分析

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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.
机译：海冰是气候系统的敏感部件，使北极和南极海冰盖的减少可以指示温室变暖。海冰参数最一致的信息来源是偏光轨道卫星的微波遥感。从1978-87的扫描多通道微波辐射计（SMMR）数据的先前分析显示北极海冰范围显着降低，南极没有变化。作者通过包括来自后续特殊传感器微波成像器（SSM / I）的数据将记录延伸至1994年。这涉及在六周重叠期间互际SMMR-SSM / I数据，使用Norsex算法在海冰浓度水平上实现。时间序列分析1978-94持续海洋冰时间序列揭示北极冰范围和面积持续下降。此外，作者在此期间发现南极冰范围的略微下降。记录的简洁性重申需要更长，连续的微波时间序列来识别长期趋势。

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