| 星载微波ERS-1和多通道SSM/I观测海洋的相关性和随机粗糙面复合模型的数值模拟 |
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| 引用本文： | 金亚秋,张南雄,黄润恒,王毅.星载微波ERS-1和多通道SSM/I观测海洋的相关性和随机粗糙面复合模型的数值模拟[J].地球物理学报,1999,42(4):452-459. |
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| 作者姓名： | 金亚秋 张南雄 黄润恒 王毅 |
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| 作者单位： | 1. 复旦大学波散射和遥感中心与电子工程系,上海,200433
2. 国家海洋局海洋环境预报中心,北京,100081 |
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| 基金项目： | 国家自然科学基金!49831060,49685005,69771007，国家863-818-06-05项目，国家教育部博士点基金，上海市科技研究发展基金 |
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| 摘 要： | 欧洲遥感卫星（ERS）和美国防卫气象卫星计划（DMSP）空对地微波遥感是当今研究全球大气地表微波散射辐射和反演地球物理与水文参数的主要数据来源．本文研究了ERS－1散射计和SSM／I多通道辐射计在中国海域观测到的后向散射和热辐射数据，论证了同一地区同一时间段内ERS主动散射计和SSM／I被动辐射计观测数据的相关性．用海域主、被动遥感数据的比较，阐述了主、被动联合多通道分析方法有利于监视和分析复杂地表和海面在时间和空间尺度上的变化．用带泡沫散射层的双尺度随机粗糙面的复合模型计算后向散射和热发射，用以数值模拟ERS和SSM／I数据．并讨论了后向散射与热辐射数值模拟结果的相关性，以及与星载微波遥感器实际观测结果的比较．
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| 关 键 词： | 海面遥感 ERS和SSM/I 模拟和观测 相关性 |
| 修稿时间： | 1999年1月10日 |
CORRELATED OBSERVATIONS BY THE ERS-1 AND MULTI-CHANNEL SSM/I OVER OCEAN AND NUMERICAL SIMULATION OF A COMPOSITE MODEL OF ROUGH SEA SURFACE |
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| JIN YA-QIU, ZHANG NAN-XIONG.CORRELATED OBSERVATIONS BY THE ERS-1 AND MULTI-CHANNEL SSM/I OVER OCEAN AND NUMERICAL SIMULATION OF A COMPOSITE MODEL OF ROUGH SEA SURFACE[J].Chinese Journal of Geophysics,1999,42(4):452-459. |
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| Authors: | JIN YA-QIU ZHANG NAN-XIONG |
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| Abstract: | Back-scattering measured by ERS-1 scatterometer and emission observed by multi-channel SSM/I radiometers over China sea are studied. Correlation ofobservations by achve ERS and passive SSM/I sensors on the same area and at the same bine Period is discussed. It is demonstfthed that multi-channel analysis by both active and passive sensors is greatly helpful for monitoring temporal and spatial variahon of terrain and sea surfaces. Rough sea surface with foam covers driven by winds is modeled as a two-scale randomly rough surface covered by a layer of Rayleigh particles. Radiahve transfer equahon from this modeling is solved by iterative approach. The bistahc and back-scattering, and thermal emissivity with funchonal dependence on sea surface wind speed and direction can be numerically simulated and be compared with the ERS and SSM/I data. Correlated observations by achve ERS and passive SSM/I are discussed by both simulahons and measurements |
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| Keywords: | Oceanic remote sensing ERS and SSM/I Simulation and observation correlation |
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