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您的检索式：作者名="SHAO LianJun"
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| 1 | First China ocean reflection experiment using coastal GNSS-R显示文摘It is a new way for oceanographic remote sensing using the GNSS-Reflection technique. Sea waves, tides and sea surface wind can be obtained by analyzing the direct and reflected GPS signals from sea surface. It has become an advanced field concerned by many researchers. In this paper the first China Ocean Reflection Experiment (CORE) with the coastal GNSS-R in the southeast is reported and the method to retrieve oceanographic parameters with the direct and reflected GPS signals is studied. The primary retrievals of Significant Wave Height (SWH) are presented and also compared with the meas-urements from Ultrasonic Wave Gauge (UWG) in situ. | WANG Xin SUN Qiang ZHANG XunXie LU DaRen SHAO LianJun HU Xiong RUFFINI Giulio DUNNE Stephen FRANCOIS Soulat | 2008 | Chinese Science Bulletin2008，53，7： | 15 |
| 2 | Automatic detection of oceanic eddies in reanalyzed SST images and its application in the East China Sea显示文摘Oceanic eddies may cause local sea surface temperature(SST), height, and salinity anomalies in remote sensing(RS) images. Remote sensed SST imagery has proven to be an effective technique in oceanic eddy detection, because of its high temporal and spatial resolution. Various techniques have been used to identify eddies from SST images. However, mainly owing to the strong morphological variation of oceanic eddies, there is arguably no uniquely correct eddy detection method. A scheme of algorithm based on quasi-contour tracing and clustering of eddy detection from SST dataset is presented. The method does not impose fixed restrictions or limitations during the course of 'suspected' eddy detection, and any eddy-like structures can be detected as 'suspected' eddies. Then, 'true' eddies can be identified based on the combination of intensity and spatial/temporal scale criteria. This approach has been applied to detect eddies in the East China Sea by using Operational SST & Sea Ice Analysis(OSTIA) dataset. Experiments proved that oceanic eddies ranging in diameter from tens to hundreds of kilometers can be detected. Through investigation of the 2007–2011 OSTIA daily SST dataset from the Kuroshio region in the East China Sea, we found that the most active regions for oceanic eddies are those along the Kuroshio path, northeast of Taiwan Island, the Yangtze Estuary and the Ryukyu Islands. About 86% of the cyclonic eddies and 87% of the anticyclonic eddies have the size of 50–100 km in diameter. Only 25% of the anticyclonic eddy and 26% of the cyclonic eddy have the strength more than 0.4°C in the sea surface layer. | ZHANG ChunHua LI HongLin LIU SongTao SHAO LianJun ZHAO Zhao LIU HongWei | 2015 | Science China Earth Sciences2015，58，12： | 8 |
| 3 | A mesoscale eddy detection method of specific intensity and scale from SSH image in the South China Sea and the Northwest Pacific显示文摘Mesoscale eddies exist almost everywhere in the ocean and play important roles in the ocean circulation of the world. These eddies may cause sound spread singular regions and bring great influences to the upwater ship and underwater aircraft. Due to the lack of hydrographic survey datasets, study of mesoscale eddies has been greatly restricted. Fortunately, satellite altimeter provided an effective way to study mesoscale eddies. An automatic detection algorithm is introduced to detect mesoscale eddies of specific intensity and spatial/temporal scale based on satellite sea surface height(SSH) data and the algorithm is applied in a strong eddy activity region: the South China Sea and the Northwest Pacific. The algorithm includes four steps. The first step is preprocessing of the SSH image, which includes elimination of error SSH data and interpolation. The second step is to detect suspected mesoscale eddies from preprocessed SSH images by dynamic threshold adjustment and morphological method, and the suspected mesoscale eddy detection includes two procedures: suspected mesoscale eddy core region detection and suspected mesoscale eddy brim extraction. The third step is to pick out mesoscale eddies satisfied with specified criteria from suspected mesoscale eddies. The criteria include three items, that is, intensity criterion, spatial scale, criterion and temporal scale criterion. The last step is algorithm performance analysis and verification. The algorithm has the capability of adaptive parameter adjustment, and can extract mesoscale eddies of interested intensity and spatial/temporal scale. The paper can provide a basis for analyzing space-time characteristics of mesoscale eddy in the South China Sea and the Northwest Pacific. | ZHANG ChunHua XI XiaoLiang LIU SongTao SHAO LianJun HU XiaoHua | 2014 | Science China Earth Sciences2014，57，8： | 8 |
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