南海东北部基于标准经验算法的遥感叶绿素a反演结果比较分析

比较了2000年夏季邻近珠江口的南海东北部海区海洋水色传感器SeaWiFS遥感与走航叶绿素a(Chla)的分布,着重对比在运用Ruddick的浑浊水体大气校正方法的条件下OC2,OC4和OCTSC的3种标准经验算法反演的SeaWiFS遥感Chla与实测Chla偏离的相对程度。结果表明,3种产品都能够反映Chla从近岸向远岸降低的空间分布特征,但从近岸到远岸划分3个子区域分别对遥感与走航Chla求均值比较的结果表明。OC4产品偏离实测Chla分布的程度明显小于其他2种产品。此外3种产品的Chla频率分布差异显著。这一结果可以为选择适用于该海域海洋环境变动研究的SeaWiFS Chla标准产品提供参考。     

Space–time variability of the Plata plume inferred from ocean color

Satellite ocean color and surface salinity data are used to characterize the space–time variability of the Río de la Plata plume. River outflow and satellite wind data are also used to assess their combined effect on the plume spreading over the Southwestern South Atlantic continental shelf. Over the continental shelf satellite-derived surface chlorophyll-a (CSAT) estimated by the OC4v4 SeaWiFS retrieval algorithm is a good indicator of surface salinity. The log (CSAT) distribution over the shelf presents three distinct modes, each associated to: Subantarctic Shelf Water, Subtropical Shelf Water and Plata Plume water. The log (CSAT) 0.4–0.8 range is associated with a sharp surface salinity transition across the offshore edge of the Plata plume from 28.5 to 32.5. Waters of surface salinity <31, derived from mixtures of Plata waters with continental shelf waters, are associated to log (CSAT)>0.5. In austral winter CSAT maxima extend northeastward from the Plata estuary beyond 30°S. In summer the high CSAT waters along the southern Brazil shelf retreat to 32°S and extend south of the estuary to about 37.5°S, only exceeding this latitude during extraordinary events. The seasonal CSAT variations northeast of the estuary are primarily controlled by reversals of the along-shore wind stress and surface currents. Along-shore wind stress and CSAT variations in the inner and mid-shelves are in phase north of the estuary and 180° out of phase south of the estuary. At interannual time scales northernmost Plata plume penetrations in winter (∼1200 km from the estuary) are associated with more intense and persistent northeastward wind stress, which in the period 2000–2003, prevailed over the shelf south of 26°S. In contrast, in winter 1999, 2004 and 2005, characterized by weaker northeastward wind stress, the plume only reached between 650 and 900 km. Intense southwestward plume extensions beyond 38°S are dominated by interannual time scales and appear to be related to the magnitude of the river outflow. The plume response to large river outflow fluctuations observed at interannual time scales is moderate, except offshore from the estuary mouth, where outflow variations lead CSAT variations by about 2 months.     

Variability of chlorophyll-a from ocean color images in the La Plata continental shelf region

Satellite-derived chlorophyll-a fields have been used to investigate temporal and spatial variability of chlorophyll-a concentration over the continental shelf zone (25–40°S and 60–45°W) close to the La Plata River estuary. Ocean color data used in this study were obtained by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and consisted of 368 weekly averaged Standard Mapped Images (SMI), from October 1997 to September 2005. Fourier harmonic and EOF analyses were used to study the variability of log-transformed chlorophyll-a concentration in the region. The harmonic analysis has shown that the annual cycle was the most dominant signal followed by the semi- and quadri-annual cycles, in certain areas. The strong annual cycle is mainly present in latitudes lower than 34°S where relatively high amplitudes (∼1.9 mg m⁻³) in pigment variation are seen over the southern Brazilian continental shelf. The semi-annual cycle is mainly associated with the Brazil–Malvinas frontal zone oscillation while the 4-year signal is related to positive La Plata discharge anomalies influenced by El Niño events. After removing the annual signal from the log-transformed chlorophyll anomalies, the EOF results showed that the first three modes captured 85.1% of the variability associated with the regional mean phytoplankton chlorophyll pattern in our smoothed data set. The first three modes explained, respectively, 63.4%, 14.1% and 7.6%. The EOF results showed that the long-term chlorophyll time/space patterns are associated with both La Plata discharge anomaly (mode 1) and alongshore wind stress (mode 2). A reconstruction of the chlorophyll anomaly fields has been made using the two leading EOF modes over two periods of high La Plata River discharge, during ENSO events. In the first event, the spatial patterns of high chlorophyll anomaly were confined to the southern portion of the region, associated with NE winds, which push the plume near the estuary mouth. The second period revealed an elongated tongue of positive chlorophyll anomalies over the Uruguayan and Brazilian middle continental shelves, associated with favorable SW winds. The analyses performed in this study allowed identification of the main modes of variability in SeaWiFS-derived chlorophyll in the region, which were consistent with modulations of important regional environmental forcing mechanisms.     

A retrospective analysis of nutrients and phytoplankton productivity in the Mississippi River plume

Long-term patterns in riverine nutrient flux in the lower Mississippi River were examined in relationship to spatial and temporal patterns in surface nutrient concentrations, chlorophyll, and primary productivity in the outflow region in the northern Gulf of Mexico. A retrospective analysis of dissolved inorganic nutrient fluxes based on USGS water quality data and US Army Corps of Engineers discharge data from the 1950s to mid-2004 showed an increase in river-borne dissolved inorganic nitrogen (DIN) flux after 1967. Flux of DIN peaked in the early 1980s and has since fluctuated and shown a general decreasing trend since the early 1990s. Records for total phosphorus (total P) fluxes beginning in mid-1974 exhibited a variable but slight increasing trend up to 2004. The increase in fluxes during the 1970s and into the 1980s can be attributed to increases in both nutrient concentrations and river discharge. DIN concentrations since the 1980s have shown a decreasing trend. Total P concentrations exhibited large fluctuations, with no consistent long-term trend. Dissolved organic nitrogen (DON) concentrations and orthophosphate (Ortho P) peaked in the 1980s, declined relative to DIN and remained relatively low. DIN:Ortho P ratios were consistently well above the Redfield N:P ratio of 16:1. DIN:Total P ratios were variable and lower, fluctuating around the Redfield 16:1 value. Both DIN:Ortho P and DIN:Total P ratios were weakly, but significantly, correlated with river discharge and fluctuations were largely a reflection of higher DIN concentrations during high-discharge events. DIN:Ortho P ratios in surface waters of the outflow region adjacent to the birdfoot delta were higher in spring, consistent with seasonal variation in riverine DIN:Ortho P ratios. The seasonal signal diminished with increasing distance to the west of the delta, indicating a selective removal of DIN or source of Ortho P along the shelf. DIN fluxes and SeaWiFS satellite-derived chlorophyll showed seasonally elevated values during the first half of the year followed by generally lower values in late summer and fall. This seasonal signal diminished from east to west. The observed relationship between DIN flux and chlorophyll was consistent with ship-based observations of a linkage between riverine nutrient inputs and productivity. Long-term trends in river discharge were correlated with the Multivariate ENSO (El Niño Southern Oscillation) Index (MEI) (r=−0.281, p<0.0001), evidence that river discharge was influenced by global climatic trends.     

A spectral response approach for detecting dominant phytoplankton size class from satellite remote sensing

An important goal in ocean colour remote sensing is to accurately detect different phytoplank- ton groups with the potential uses including the validation of multi-phytoplankton carbon cycle models; synoptically monitoring the health of our oceans, and improving our understanding of the bio-geochemical interactions between phytoplankton and their environment. In this paper a new algorithm is developed for detecting three dominant phytoplankton size classes based on distinct differences in their optical signatures. The technique is validated against an independent cou- pled satellite reflectance and in situ pigment dataset and run on the 10-year NASA Sea viewing Wide Field of view Sensor (SeaWiFS) data series. Results indicate that on average 3.6% of the global oceanic surface layer is dominated by microplankton, 18.0% by nanoplankton and 78.4% by picoplankton. Results, however, are seen to vary depending on season and ocean basin.     

SeaWiFS与HY-1卫星COCTS的系统交叉辐射校正

海洋一号(HY-1)卫星是中国第一颗海洋环境遥感卫星。由于卫星上没有太阳定标装置,而且其上搭载的水色水温扫描仪(COCTS)一直存在漂移的问题,所以必须不断对其进行辐射校正,所述内容就是其辐射校正方法之一。美国宽视场水色扫描仪(SeaW iFS)提供了高精度的水色数据,如一类水体上的离水辐亮度及叶绿素浓度等被国际水色遥感界作为参照的基准。以SeaW iFS反演的归一化离水辐亮度和气溶胶参数对COCTS遥感器的辐射校正系数进行了系统校正。该方法可以对COCTS的定标系数进行长期监测。结果表明,校正后的COCTS水色数据产品精度得到了很大的提高。     

SeaWiFS和MODIS叶绿素浓度数据及其融合数据的全球可利用率

对2001年Sea WiFS和MODIS叶绿素浓度数据的全球可利用率进行了定量分析,二者在全球范围的变化趋势一致,年平均可利用率分别为12．4％和13．6％,其中MODIS叶绿素浓度的可利用率略高于SeaWiFS。利用小波变换方法对二者进行数据融合,经分析：SeaWiFS／MODIS叶绿素浓度融合数据相对于单一传感器数据提高了全球可利用率,其年平均为20．50％;融合数据保持了较高空间分辨率MODIS数据的海洋特征;融合数据与实测值比较,差值的均值和标准偏差分别为0．16mg／m^3和1．07mg／m0（SeaWiFS：0．46mg／m^3和2．22mg／m^3,MODIS：0．13mg／m^3和0．82mg／m^3）。与MODIS和Sea WiFS相比。融合数据接近MODIS优于SeaWiFS。结果表明小波变换方法用于SeaWiFS和MODIS叶绿素浓度数据融合的有效性。     

“百合”台风对海表温度及水色环境影响的遥感分析

利用SeaWiFS及NOAA卫星资料,基于均值合成算法,分析了"百合"台风对海表温度(SST)、海表叶绿素a浓度及海水透明度的影响,结果表明,整个研究海域(22°～30°N、121°～131°E)的平均SST从台风前的25.48℃下降到22.45℃,平均下降幅度为12.95%.在台风盘旋的中心区域(26°～28°N、123°～127°E),SST平均下降了5.40℃,下降幅度达21.20%,SST下降最大的是9月14日,整个研究海域平均SST仅为13.48℃.整个研究海域海表叶绿素a浓度在台风期间有较大的增加,从台风前的0.425 mg/m3(平均值)上升到0.537 mg/m3,平均增长26.35%.除浙江近海外,台风核心区域海表叶绿素a浓度增幅最大,达1.695倍,表明台风风力越强,台风停留时间越长,对海表叶绿素a浓度增加的贡献就越大.这一增加有利于海洋生物的生长,有利于提高初级生产力和改善海洋生态环境.在"百合"台风期间,海水透明度却有一定程度的降低,从台风前的16.84 m(平均值)下降至台风后的12.67 m,平均降幅为24.76%,降幅最大的是24°～26°N、125°～127°E区块,平均下降了7.96 m,降幅高达47.6%;总体上台风核心区域南部的海水透明度降幅大于区域北部,台风核心区域东南部的海表叶绿素a浓度增幅大于区域东北部.同时,对整个研究海域分割成2°×2°大小的区块,以每个区块的海表叶绿素a浓度、SST和海水透明度的均值代表该区块的值,对台风前、后海表叶绿素a浓度、SST和海水透明度的变化进行相关性分析,发现海表叶绿素a浓度的变化与SST和海水透明度均呈负相关性,且台风期间海表叶绿素a浓度增加的百分比与相应区块海水透明度下降的百分比之间的相关系数达0.821.     

Satellite-derived measurements of spatial and temporal chlorophyll-a variability in Funka Bay, southwestern Hokkaido, Japan

Chlorophyll-a (chl-a) concentration has an important economic effect in coastal and marine environments on fisheries resources and marine aquaculture development. Monthly climatologies the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) derived chl-a from February 1998 to August 2004 around Funka Bay were used to investigate the spatial and temporal variability of chl-a concentrations. SeaWiFS-derived suspended sediment, MODIS derived sea surface temperature (SST), solar radiation and wind data were also analyzed. Results showed two distinct chlorophyll blooms in spring and autumn. Chl-a concentrations were relatively low (<0.3 mg m⁻³) in the bay during summer, with high concentrations occurring along the coast, particularly near Yakumo and Shiraoi. In spring, chl-a concentrations increased, and a large (>2 mg m⁻³) phytoplankton bloom occurred. The spatial and temporal patterns were further confirmed by empirical orthogonal function (EOF) analysis. About 83.94% of the variability could be explained by the first three modes. The first chl-a mode (77.93% of the total variance) explained the general seasonal cycle and quantified interannual variability in the bay. The spring condition was explained by the second mode (3.89% of the total variance), while the third mode (2.12% of the total variance) was associated with autumn condition. Local forcing such as the timing of intrusion of Oyashio water, wind condition and surface heating are the mechanisms that controlled the spatial and temporal variations of chlorophyll concentrations. Moreover, the variation of chlorophyll concentration along the coast seemed to be influenced by suspended sediment caused by resuspension or river discharge.     

Satellite-measured temporal and spatial variability of the Tokachi River plume

River plumes have important effects on marine ecosystems. Variation in the extent and dispersal of river plumes is often associated with river discharge, wind characteristics and ocean circulation. The objectives of this study were to identify the Tokachi River plume by satellite, determine its relationship with river discharge and clarify its temporal and spatial dynamics. SeaWiFS multispectral satellite data (normalized water-leaving radiance: nL_w) with 1.1 km spatial resolution were used to determine the spatial and temporal variability of the plume during 1998–2002. Supervised maximum likelihood classification using six channels of nL_w at 412, 443, 490, 510, 555 and 670 nm with each band's spectral signature statistic was used to define classes of surface water and to estimate the plume area. Supervised maximum likelihood classification separated three to four classes of coastal water based on optical characteristics as a result of wind stress events. The satellite-observed plume area was correlated with the amount of river discharge from April to October. The plume distribution patterns were influenced by wind direction and magnitude, the occurrences of a near-shore eddy field and surface currents. Empirical orthogonal function (EOF) was used to express the spatial and temporal variability of the plume using anomalies of nL_w(555) monthly averaged images. The first mode (44% of variance) showed the turbid plume distribution resulting from re-suspension by strong wind mixing along the coast during winter. This mode also showed the plume was distributed along-shelf direction in spring to early autumn. The second mode (17% of variance) showed spring pattern across-shelf direction. EOF analysis also explained the interannual variability of the plume signature, which might have been affected by the flow of the Oyashio Current and the occurrence of a near-shore eddy field.