南海叶绿素浓度季节变化及空间分布特征研究

以南海海域1997年10月至2002年9月SeaWiFS卫星遥感叶绿素浓度的资料为基础,分析了多年平均的南海叶绿素浓度的时空分布,初步分析结果表明,冬季南海大部分海域叶绿素浓度普遍较高,春季大部分海域较低;南海各个海区的叶绿素月平均最低浓度基本出现在春季的4月或5月,而最高浓度出现的月份却有不同的特征,在中央海盆区出现在12月,在广东沿岸海区出现在7月,在越南东南部近岸海域在8月和12月有两个最高值;在吕宋海峡的西部区域,尽管叶绿素浓度的最高值也出现在12月,但是叶绿素浓度的最低值却出现在夏季的7月.在空间上近岸区域的叶绿素浓度明显高于中央海盆区,西部海域普遍高于东部海域.南海叶绿素浓度的这一时空分布特征与流场(如上升流等)、海面温度场和风场等的变化有关,也与陆源物质的输入等关系密切.     

南海1998-2002年初级生产力的遥感估算及其时空演化机制

基于SeaWiFS资料得到1998—2002年海洋叶绿素浓度值以及海表温度(SST)数据和其它海洋数据,通过VGPM模型最终反演得到南海1998—2002年逐月初级生产力分布图以及季节分布图,发现在这5年内南海海域初级生产力年平均值变化不大,仅略有差异,1998年的年平均初级生产力要比其它几年的年平均初级生产力小一些;而南海海域初级生产力的季节变化则很明显,冬季要比其它几个季节高得多,而夏季最低。不同季节控制南海海域初级生产力的主导因素各不相同,主要是叶绿素浓度的分布、营养盐的分布、温度条件等,不同海区又略有不同。     

1998年冬季台湾海峡遥测叶绿素分布特征

结合1998年2－3月台湾少峡的SeaWiFS水色数据与现场观测Chla数据，对遥测与实测数据进行了初步的对照分析，同时比较了遥测与实测叶绿素的分布状况，以期利用丰富的水色遥感信息掌握海域时绿素的时空变化，进而进行海域初级生产力的研究，分析结果表明，SeaWiFS水以民现场实测数据的相关性良好（r^2=0.81,n=7)，初步说明，SeaWiFS水色数据能够在相当程度上反映海域的实际Chla含量，另一方面，遥测沿岸水对营养盐的输送，贫瘠的黑潮水自海峡南部的入侵是造成一分布况的主要原因，黑潮水经由澎湖水道进入海峡的现象在SeaViFS图像的得到佐证。     

河口悬浮泥沙浓度Sea WiFS遥感定量模式研究

利用海洋水色卫星 Seastar/SeaWiFS数据和准同步实测表层含沙量资料,建立长江口区悬浮泥沙遥感定量模式.通过“exact closed-form”算法对多时相SeaWiFS数据进行几何定位,并利用大气辐射传输简化理论对其进行大气校正,求得各波段遥感反射率;在完成投影变换和几何精校正之后,建立遥感参数与含沙量相关关系,得到长江口区悬浮泥沙遥感定量模式.     

南海北部初级生产力遥感反演及其环境调控机制

选取VGPM模式对南海北部海域初级生产力进行反演,通过SeaWiFS和AVHRR提供的Chl a,K₄₉₀,PAR和SST等遥感数据产品计算得到了模式所需的各项参数,结合现场实测数据对模式进行了修订和误差分析.在此基础上通过反演计算获得了南海北部海域7 a平均(1998～2004年)初级生产力逐月分布图像.研究结果表明,研究海域初级生产力(C)分布趋势为由沿岸带向陆架以及外海逐渐降低,其中沿岸带区高于400 mg/(m2·d),外海区大致在100～300 mg/(m2·d);初级生产力水平冬季最高[平均为608 mg/(m2·d)]、夏季最低[平均为292 mg/(m2·d)],春、秋季基本持平.控制初级生产力时空分布的因子主要有营养盐、温度、光照,其中又以季风和环流驱动下的营养盐变化对初级生产力的调控最为显著.     

Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters

A practical algorithm of atmospheric correction for turbid coastal and inland waters is provided. The present algorithm uses the property that the water-leaving radiance at 412 nm increases very tittle with the increasing of water turbidity. Thus, in very turbid coastal and inland waters, the radiance at 412 nm can be used to estimate the aerosol scattering radiance at 865 nm. The performance of the new algorithm is validated with simulation for several cases. It is found that the retrieved remotely sensed reflectance is usually with error less than 10% for the first six bands of SeaWiFS. This new algorithm is also tested under various atmospheric conditions in the Changjiang River Estuary and the Hangzhou Bay where the sediment concentration is very high and the standard SeaWiFS atmospheric correction algorithm creates a mask due to atmospheric correction failure. The result proves the efficiency of this simple algorithm in reducing the errors of the water-leaving radiance retrieving using SeaWiFS satellite data.     

SeaWiFS遥感资料分析中国海域气溶胶光学厚度的季节变化和分布特征

通过与地基气溶胶观测数据的对比,确认了SeaWiFS气溶胶光学厚度产品用于研究中国海域气溶胶分布和变化特征的有效性。在此基础上,分析了中国海域气溶胶光学厚度的季节变化和地理分布特征。研究结果表明,中国东部海域平均气溶胶光学厚度存在以中纬度为中心的纬向分布;受沙尘、季风气候的影响,中国海域气溶胶光学厚度存在季节变化,不同海区有不同的季节变化和分布特征。渤海、黄海及东海有类似的变化特征,春季都受到沙尘气溶胶的影响,使中国东部海域气溶胶光学厚度普遍高于0.160,且对东海的影响最大;夏、秋季逐渐减小,冬季有所回升。南海气溶胶光学厚度均值为0.150,随时间变化不明显,但地理分布变化显著;受季风气候的影响,从春季到冬季,气溶胶光学厚度高值中心从高纬海域向低纬海域转移,范围也逐渐扩大。冬季南海大部分海域气溶胶光学厚度都达到0.160以上,是整个中国海域冬季气溶胶光学厚度最大的海区。气溶胶光学厚度的季节变化和地理分布特征为研究中国海区域气候变化和海洋生态提供了依据。     

Variation in Lake Baikal's phytoplankton distribution and fluvial input assessed by SeaWiFS satellite data

The current behaviour of selected climate proxies in Lake Baikal was assessed by remote sensing analyses of ‘Sea viewing Wide Field of view Sensor’ (SeaWiFS) satellite data. Suitable proxies include optically visible water constituents such as phytoplankton, suspended terrigenous matter and yellow substance. These limnological parameters reflect the present-day climate bioproductivity and the river discharge in the catchment area.A biological and geochemical ground truth data set for Lake Baikal was established with the help of members of the paleoclimate project ‘high-resolution CONTINENTal paleoclimate record in Lake Baikal’ (CONTINENT). For processing the SeaWiFS satellite data, the atmospheric correction was adapted to the case of Lake Baikal. Chlorophyll as a proxy for phytoplankton was quantified using global NASA ocean colour algorithms OC2 and OC4. In cases of no optical interferences by terrigenous input, the calculated chlorophyll concentrations in clear pelagic waters were within ±30% accuracy with the CONTINENT cruise data during the summers of 2001 and 2002. Within this range of accuracy, the SeaWiFS time series will be able to show the seasonal variations of chlorophyll of specified bio-optical provinces of Lake Baikal and of CONTINENT sites. In this study, the suspended matter as a proxy for the terrigenous input was calculated according to an empirical algorithm using ground truth data in the time frame of flooding events in summer 2001. The approach chosen correlates the suspended matter concentration with the remotely sensed parameter of ‘attenuation coefficient’ to account for the organic-rich terrigenous input that originates from the swampy watersheds.Seasonal and spatial information that is provided by the analyses of the SeaWiFS satellite data will assist paleoclimate researchers to interpret the autochthonous and allochthonous influences at the CONTINENT coring sites.     

Implications of ocean color in the upper water thermal structure at NINO3.4 region: a sensitivity study for optical algorithms and ocean color variabilities

Chlorophyll a (Chl-a) has been the most commonly used biomass metric in biological oceanographic processes. Although limited to two-dimensional surfaces, remote-sensing tools have been successfully providing the most recent state of marine phytoplankton biomass to better understand bottom-up processes initiating daily marine material cycles. In this exercise, ocean color products with various time-scales, derived from Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), were used to investigate how their bio-optical properties affect the upper-ocean thermal structure in a global ocean modeling framework. This study used a ¼-degree Hybrid Coordinate Ocean Model forced by hourly atmospheric fluxes from the Climate Forecast System Reanalysis at National Oceanic Atmospheric Administration. Three numerical experiments were prepared by combining two ocean color products – downwelling diffuse attenuation coefficients (K_dPAR) and chlorophyll a (Chl-a) – and two shortwave radiant flux algorithms. These three runs are: (1) KparCLM, based on a 13-year long-term climatological K_dPAR derived from SeaWiFS; (2) ChlaCLM, based on a 13-year long-term Chl-a derived from SeaWiFS; and (3) ChlaID, which uses the inter-annual time-series of monthly-mean SeaWiFS Chl-a product. The KparCLM experiment uses a Jerlov-like two-band scheme; whereas, both ChlaCLM and ChlaID use a two-band scheme that considers inherent (absorption (a) and backscattering (b_b) coefficients) and apparent optical properties (downwelling attenuation coefficient (K_d) and solar zenith angle (θ, varying 0–60°)). It is found that algorithmic differences in optical parameterizations have a bigger impact on the simulated temperatures in the upper-100 m of the eastern equatorial Pacific, NINO3.4 region, than other parts of the ocean. Overall, the K_dPAR-based approach estimated relatively low surface temperatures compared to those estimated from the chlorophyll-based method. In specific, this cold bias, pronounced in the upper 20–30 m, is speculated to be due to optical characteristics of the algorithm and K_dPAR products, or due to nonlinear hydrodynamical processes involving displacement of mixed-layer depth. Comparisons between each experiment against Global Ocean Data Assimilation System (GODAS; Behringer and Xue 2004) analyses find that KparCLM-based simulations have lower mean differences and variabilities with higher cross-correlation coefficients compared to ChlaCLM- and ChlaID-based experiments.     

1998年冬季台湾海峡的暖水入侵及其生态响应

就1998年2－3月台湾海峡AVHRR表层水温和SeaWiFS叶绿素数据以及当年2月20日至3月8日在台湾海峡北部海区所实施的多学科现场调查资料进行综合分析，着重探讨暖水入侵的过程及其生态响应。结果表明，1998年冬季由澎湖水道北上进入台湾海峡的高温高盐黑潮入侵水强度大于往年，在2月8日－3月13日期间不断增强，直至侵占整个海峡东侧海域，迫使低温低盐且富含营养盐的闽浙沿岸水主流顺大陆沿岸南下。这一过程向海峡西侧海域输入营养盐并使之达到适宜的水温，极可能是西侧海域出现叶绿素高值区、呈现出与往年相反的叶绿素分布态势的主控机制。分析这一现象与1997－1998年的E1 Nino事件可能存在着某种关联。