二次电泳法分离管藻目绿藻PSI亚复合物研究

通过PAGE分离管藻目绿藻刺松藻和假根羽藻的PSI复合物CPIa，和CPI，二次电泳分析得到了多种亚复合物组分，其中包括PSI捕光复合物LHCI和不含LHCI的核心复合物CCI等。该方法研究为进一步研究管藻目PSI复合物的结构打下了基础。     

The Harvest Experiment: Monitoring Jason-1 and TOPEX/POSEIDON from a California Offshore Platform

We present calibration results from Jason-1 (2001-) and TOPEX/POSEIDON (1992-) overflights of a California offshore oil platform (Harvest). Data from Harvest indicate that current Jason-1 sea-surface height (SSH) measurements are high by 138 ± 18 mm. Excepting the bias, the high accuracy of the Jason-1 measurements is in evidence from the overflights. In orbit for over 10 years, the T/P measurement system is well calibrated, and the SSH bias is statistically indistinguishable from zero. Also reviewed are over 10 years of geodetic results from the Harvest experiment.     

基于反相C8色谱柱的海洋浮游藻色素高效液相色谱分析方法有效性验证

对一种海洋浮游藻色素高效液相色谱分析方法进行了有效性验证。该方法使用反相C8色谱柱,以甲醇、乙腈和丙酮为流动相,并在流动相中添加吡啶/醋酸溶液作为修饰剂改善色素峰的分离效果。结果表明,4种色素标准在一定的浓度范围内线性关系良好,叶绿素a的线性范围为189.6~18 960μg/L,叶绿素b为89.2~8 920μg/L,β,β-胡萝卜素为7.77~777.2μg/L,叶黄素为15.28~1 528μg/L。除β,β-胡萝卜素外各色素标准的回收率在不同浓度下均在90%以上,相对标准偏差也普遍低于5%。在4个参考藻种和123个胶州湾现场样品中共检测出37种色素,一些关键的特征色素均获得了良好的分离效果。该方法操作简便,具有分离度好、灵敏度高、重复性好、回收率高等优点,适用于培养的藻种和现场样品中的海洋浮游藻色素分析。     

Ocean color products retrieval and validation around China coast with MODIS

Waters along China coast are very turbid with high concentrations of suspended sediment nearly all the time,especially at the Hangzhou Bay,the Changjiang (Yangtze) River Estuary and the shoal along Jiangsu Province.In these turbid and optically complex waters,the standard MODIS ocean color products tend to have invalid values.Because the water-leaving radiances in the near-infrared (NIR) are significant resulting from the strong scattering of suspended particles,the standard MODIS atmospheric correction algorithm often gets no results or produces significant errors.And because of the complex water optical properties,the OC3 model used in the standard MODIS data processing tends to get extremely high chlorophyll-a (Chl-a) concentrations.In this paper,we present an atmospheric correction approach using MODIS short wave infrared (SWIR) bands based on the fact that water-leaving radiances are negligible in the SWIR region because of the extreme strong absorption of water even in turbid waters.A regional Chl-a concentration estimation model is also constructed for MODIS from in situ data.These algorithms are applied to MODIS Aqua data processing in the China coastal regions.In situ data collected in the Yellow Sea and the East China Sea in spring and autumn,2003 are used to validate the performance.Reasonably good results have been obtained.It is noted that water-leaving reflectance in the NIR bands are significant in waters along the China coast with high sediment loadings.The satellite derived and in-situ reflectance spectra can match in the turbid waters along China coast,and there is relatively good linear relationship between satellite derived and in-situ reflectance.The RMSE value of Rrs(λ) is 0.0031 sr ?1 for all the nine ocean color bands (412 to 869 nm).The satellite-derived Chl-a value is in the reasonable range and the root mean square percentage difference is 46.1%.     

Quality evaluation and calibration of the SWIM significant wave height product with buoy data

The significant wave height (SWH) is one of the main parameters that describe wave characteristics and is widely used in wave research fields. Wave parameters measured by radar are influenced by the offshore distance and sea state. Validation and calibration are of great significance for radar data applications. The nadir beam of surface wave investigation and monitoring (SWIM) detects the global-ocean-surface SWH. To determine the product quality of SWIM SWH, this paper carried out time-space matching between SWIM and buoy data. The data qualities were evaluated under different offshore distances and sea states. An improved calibration method was proposed based on sea state segmentation, which considered the distribution of the point collocation numbers in various sea states. The results indicate that (1) the SWIM SWH accuracy at offshore distances greater than 50 km is higher than that at distances less than 50 km, with an root mean squared error (RMSE) of 0.244 4 m, scatter index (SI) of 0.115 6 and relative error (RE) of 9.97% at distances greater than 50 km and those of 0.446 0 m, 0.223 0 and 18.66% at distances less than 50 km. (2) SWIM SWH qualities are better in moderate and rough sea states with RMSEs of 0.284 8 m and 0.316 9 m but are worse in slight and very rough sea states. (3) The effect of the improved calibration method is superior to the traditional method in each sea state and overall data, and the RMSE of SWIM SWH is reduced from the raw 0.313 5 m to 0.285 9 m by the traditional method and 0.198 2 m by the improved method. The influence of spatiotemporal window selection on data quality evaluation was analyzed in this paper. This paper provides references for SWIM SWH product applications.     

南海西北部半日内潮参量次谐频不稳定生成的近惯性波研究

为了研究非临界纬度上参量次谐频不稳定(parametric subharmonic instability,PSI)过程生成的近惯性波(near-inertial wave,NIW),本文基于国家重点研发项目的 准实时传输深海潜标资料,对内波速度谱、近惯性流速和动能、D2-f(半日频减惯性频)流速和动能、半日内潮流速和...     

基于Shepard和OI方法对雨量计逐时资料的分析

引入地形影响效应的日降水量气候分析场,分别运用Shepard和最优插值(OI)两种插值方法对广东和广西2007年5月20日—8月30日汛期小时雨量计降水量进行插值,得到0.125°×0.125°分辨率的规范化网格资料。结果表明:无论是直接插值还是用降水比率(地形影响效应的日降水量气候分析场)插值,两种方法均能很好地体现广东和广西雨量计站点观测降水的季内变化和日变化特征。虽然用直接插值方法比用降水比率插值方法得到的降水空间分布更为平滑,但估值精度没有用降水比率插值方法高。通过交叉检验进一步表明,总体上OI方法优于Shepard方法,而考虑地形影响效应的降水比率OI方法为最优,能有效提高相关性,并减少均方根误差和系统误差。     

WindSat近海岸风场与美国沿岸浮标对比分析

利用美国近海岸2004-2014年的固定浮标数据,本文对比分析了WindSat的近海岸风速产品。匹配时空窗口分别为30分钟和25公里。对比分析结果表明：WindSat反演的美国近海岸风速产品的均方根误差优于1.44 m/s,并且东海岸风速反演结果优于西海岸。WindSat下降轨道的风速反演结果优于上升轨道的结果。通过浮标相互间的对比分析发现,WindSat近海岸的风速反演结果与近岸海水深度、经度及距岸距离等因素并无明显的相关性。此外,利用2007-2008年的固定浮标数据,本文还对比分析了WindSat和QuikSCAT的近海岸风速反演结果,结果表明：相对于浮标数据,WindSat的风速反演值偏低,而QuikSCAT的风速反演值偏高;总体上来看,WindSat的近岸风速反演结果略优于QuikSCAT的近海岸风速反演结果。以上风速反演的精度均达到了传感器设定的指标,其为进一步的科学研究提供了良好的数据支撑。     

无线射频干扰对SMOS卫星盐度数据产品准确度的影响研究

SMOS卫星数据发布以来,相关学者针对海表盐度数据开展了大量的真实性检验工作,但是在受无线射频干扰（RFI）影响海域开展的相关工作很少。本文以西太平洋海域为研究区域,选择合理的时空匹配窗口,将WOD13实测海表盐度数据与SMOS卫星单轨海表盐度数据进行数据匹配,采用统计学方法开展SMOS卫星数据真实性检验,并分析RFI对SMOS卫星数据的影响。结果表明,SMOS卫星受分布在西太平洋沿岸射频干扰源的影响,RFI污染高风险区单轨L2数据准确度相对较低,最优仅为3.45,RFI污染低风险区的卫星数据准确度最优为1.07,可见,RFI对单轨卫星数据准确度的影响很大,最终导致西太平洋海域西部大面积海域数据缺失,尤其是中国近海海域,如何检测和减缓RFI对卫星数据的影响是亟待解决的问题。