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融合星载GNSS-R数据和多变量参数全球海洋有效波高深度学习反演法
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作者 布金伟 余科根 +4 位作者 汪秋兰 李玲惠 刘馨雨 左小清 常军 《测绘学报》 EI CSCD 北大核心 2024年第7期1321-1335,共15页
星载GNSS-R作为一种新兴的观测方法,最近被应用于有效波高反演。现有研究通常使用从延迟多普勒图中提取的特征值以构建经验地球物理模型函数反演SWH。然而,使用多个变量参数作为模型输入具有很大挑战。为此,本文提出了一个融合星载GNSS-... 星载GNSS-R作为一种新兴的观测方法,最近被应用于有效波高反演。现有研究通常使用从延迟多普勒图中提取的特征值以构建经验地球物理模型函数反演SWH。然而,使用多个变量参数作为模型输入具有很大挑战。为此,本文提出了一个融合星载GNSS-R数据和多变量参数反演全球海面SWH的深度学习网络模型(GloWH-Net)。为了验证本文模型的性能,ERA5、WaveWatchⅢ和AVISO SWH数据被用作广泛测试的参考数据,以评估GloWH-Net模型和先前模型(即经验模型和机器学习模型)的SWH反演性能。结果表明,当分别使用ERA5、WaveWatchⅢ和AVISO SWH作为参考值时,所提的GloWH-Net模型反演SWH的均方根误差分别为0.330、0.393和0.433 m,相关系数分别为0.91、0.89和0.84。相比基于最小方差估计器的经验组合模型反演SWH的均方根误差分别降低了53.45%、48.06%和40.63%;相比袋装树机器学习模型反演SWH的均方根误差分别降低了21.92%、18.72%和4.47%。表明了本文方法在反演全球海面SWH方面具有显著优势。 展开更多
关键词 GNSS-R 延迟多普勒图 海洋有效波高 经验模型 深度学习模型
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Decadal Variability of Global Ocean Significant Wave Height 被引量:1
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作者 ZHENG Chongwei ZHOU Lin +2 位作者 SHI Weilai LI Xin HUANG Chaofan 《Journal of Ocean University of China》 SCIE CAS 2015年第5期778-782,共5页
This paper presents the long-term climate changes of significant wave height(Hs) in 1958–2001 over the entire global ocean using the 45-year European Centre for Medium-Range Weather Forecasts(ECMWF) Reanalysis(ERA-40... This paper presents the long-term climate changes of significant wave height(Hs) in 1958–2001 over the entire global ocean using the 45-year European Centre for Medium-Range Weather Forecasts(ECMWF) Reanalysis(ERA-40) wave data. The linear trends in Hs and regional and seasonal differences of the linear trends for Hs were calculated. Results show that the Hs exhibits a significant increasing trend of about 4.6 cm decade-1 in the global ocean as a whole over the last 44 years. The Hs changes slowly during the periods 1958–1974 and 1980–1991, while it increases consistently during the periods 1975–1980 and 1995–1998. The Hs reaches its lowest magnitude in 1975, with annual average wave height about 2 m. In 1992, the Hs has the maximum value of nearly 2.60 m. The Hs in most ocean waters has a significant increasing trend of 2–14 cm decade-1 over the last 44 years. The linear trend exhibits great regional differences. Areas with strong increasing trend of Hs are mainly distributed in the westerlies of the southern Hemisphere and the northern Hemisphere. Only some small areas show obvious decreasing in Hs. The long-term trend of Hs in DJF(December, January, February) and MAM(March, April, May) is much more stronger than that in JJA(June, July, August) and SON(September, October, November). The linear trends of the Hs in different areas are different in different seasons; for instance, the increasing trend of Hs in the westerlies of the Pacific Ocean mainly appears in MAM and DJF. 展开更多
关键词 global ocean significant wave height long-term trend regional differences seasonal differences dominant season
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