常规信息对遥感海表流场的修正方法

从美国NOAA系列卫星AVHRR资料得到海表温度(SST)图能大面积同步地反映出某一时刻海表面温度分布实况,而海表温度结构反映出一定的海流信息.因此,从有时间序列的SST图的变化规律可定性地看出水团的移动情况.如果借助计算机技术,利用连续SST图就可反演海表流场,得到大面积同步的海表流场图.     

NOAA/AVHRR卫星海表温度在西北太平洋的印证及分析

本文详细分析了TeraScan系统反演NOAA/AVHRR卫星海表温度的过程,解决了反演过程中的海陆匹配问题和云检测过程中的误检、漏检问题,处理得到2002年(5°～45°N)、(105°～150°E)区域内的卫星海表温度数据.利用东北亚地区海洋观测系统NEAR-GOOS提供的现场海表温度数据做比较,印证NOAA/AVHRR海表温度在西北太平洋海域的精度,并分析其误差产生的来源.     

东海陆架表层水温年际变化时空特征分析

结合东海沿岸嵊山(北)和厦门(南)站1960—2001年海表温度(SST)监测数据与东中国海1982—2011年AVHRR水温资料,讨论了台站监测的空间代表范围,分析了东海陆架SST年际变化的时空特征。结果表明,嵊山和厦门站SST变化分别代表内陆架和台湾海峡。东海陆架52年来SST总体呈升温趋势,冬季最为显著;内陆架的升幅远大于台湾海峡。内陆架水温冬季分别在1977年和1995年发生两次跃升,共升温2.34℃;春、夏、秋季均在1994年发生冷暖转折,分别升高1.19℃、1.43℃和1.16℃。台湾海峡水温冬季在1989年跃升0.91℃,夏季在1987年跃升0.38℃,春、秋季则在1996—1997年间分别升温0.80℃和0.58℃。全年水温变化最大处在长江口附近内陆架海区,可能的主导因素是低盐水与外海水混合:随季风、降水、径流变化的沿岸流、长江冲淡水和台湾暖流给该区域带来不同水团,使得热量向下层输运减少,从而导致东海内陆架升温快于其它海区。     

西北太平洋NOAA AVHRR海表温度日变化校正研究

白天,太阳辐射将海面上层加热,会出现海表温度日变化的情况,该变化对海气热交换以及海洋生态等的研究具有重要意义,且在不同海域有着不尽相同的变化规律。文章首先介绍了海表温度日变化经验和数值模型,然后在西北太平洋海域范围内,利用美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration,NOAA)的改进型甚高分辨率辐射计(Advanced Very High Resolution Radiometer,AVHRR)海表温度数据、美国宇航局"水"卫星Aqua上先进微波扫描辐射计(Advanced Microwave Scanning Radiometer for EOS,AMSR-E)的海面风速和经计算得到的太阳辐射强度数据,通过对已有经验模型系数进行重新回归拟合,得到在该海域NOAAAVHRR海表温度数据日变化的经验模型。验证结果显示,重新回归系数后的模型在西北太平洋海域内计算所得的海表温度日变化大小与AVHRR数据本身计算所得结果相比,其平均偏差为0.01℃,标准偏差为0.22℃,可以在该海域内较好地对NOAAAVHRR海表温度数据进行日变化校正。     

黄海海表温度与冷水团年际变化关系的分析研究

基于NOAA提供的1982—2016年日平均OISST.V2数据、大面站观测数据以及FVCOM数值模拟数据,在分析黄海冷水团的年际变化规律以及SST变化特征的基础上,确定了黄海SST和冷水团特征参数,采用相关分析方法,探究黄海SST与冷水团的相关关系。结果表明:黄海冷水团8℃等温线包围面积年际变化幅度最大,9℃等温线次之,10℃等温线包围面积年际变化幅度最小;北黄海冷水团冷中心大小和位置均比南黄海冷水团更稳定;受到地形限制,冷水团冷中心虽然每年位置变化较大,但活动范围较为固定。通过对黄海SST和冷水团特征参数的相关分析,发现冬季9℃等温线到达的纬度与黄海暖流流量和冷水团面积之间均存在较好的相关关系,尤其是冷水团与前一年冬季表层9℃等温线到达纬度相关程度更高,这说明冬季黄海SST不仅能够反映黄海暖流的强弱,也能够反映第二年夏季黄海冷水团的强弱。     

基于变分理论的AVHRR海表温度反演应用及效果评估

基于变分理论算法实现了METOP-A卫星AVHRR传感器探测数据的海洋表面温度变分反演，进行了连续1个月的海表温度反演试验，并分别从全球、分纬度带和天气系统活跃区域3个方面，将变分反演结果（VAR SST）与利用统计回归方法反演相同卫星得到的海表温度产品（GBL SST）、其他海温融合产品（OISST）及实际浮标观测数据等进行一系列评估。从全球评估指标看出，以OISST为参照，VAR SST要优于GBL SST；以浮标观测为参照，VAR SST略逊于GBL SST，而且VAR SST还改进了GBL SST随时间波动大的缺点；从分纬度带对比看出，在与OISST对比时，VAR SST在低纬度地区和北半球中纬度地区的质量要优于GBL SST，海温反演精度较高。研究还表明，由于变分方法考虑了大气状态的变化，能够更加有效订正卫星遥感过程中大气的削弱作用，从而反演出精度更高的海表温度，尤其在天气系统较为复杂的区域效果明显。     

黄海表面水温场的准周期变化分析

本文用能谱方法分析了黄海的海表面水温(SST)场的准周期变化。由分析结果清楚地看出,SST具有高频准周期变化:黄海北部以2.6—3.2,1.4—1.7,3.6—3.8和6.7个月的准周期为主;3.3—3.6,5,1.3—2.3及6.7个月在黄海南部占优势。同时,两个海域都有6.7和3.3年的明显的准周期变化。     

利用南极走航观测评估卫星遥感海表面温度

利用1989-2005年间南极走航观测的海表面温度,对目前3个主要的卫星反演的SST产品AVHRR(Advanced Very High Resolution Radiometer),TMI(TRMM Microwave Imager)和AMSR-E(Advanced Microwave Scanning Radiometer for the Earth Observing System)进行了较为系统的评估,并着重检验了它们在南大洋的准确性.结果表明,AVHRR SST比观测数据偏冷,白天的偏差为-0.12℃,夜晚的偏差为-0.04℃,而且南大洋的冷偏差更为显著.TMI SST比观测数据明显偏暖,白天的偏差为0.48℃,夜晚的偏差为0.57℃,其温差ΔT受37GHz风速影响,在强风速(>6m/s)下这种影响仍然存在.AMSR-ESST比观测数据偏暖,白天的偏差为0.34℃,夜晚的偏差为0.27℃,而且南大洋的暖偏差相对较大.AMSR-E SST温差受水汽影响,并在南大洋随着水汽的增加而增加.通过进一步比较微波(AMSR-E和TMI)和红外(AVHRR)遥感的SST在2004年北半球冬季(即南半球夏季)的差别,发现微波遥感在热带(15°S-15°N)和南大洋区域(45°S以南)比红外遥感偏暖,而且在南大洋区域的偏差相对较大,相反在北半球中纬度区域(15°~40°N)偏冷.AMSR-E与AVHRR SST的温差,从白天到夜晚有减小的趋势,而TMI与AVHRR SST的温差无明显的变化.     

海表水温变动对东、黄海鲐鱼栖息地分布的影响

海表水温(SST)通常是表征鱼类栖息地分布的主要指标。本文根据1999—2007年我国大型灯光围网的鲐鱼生产统计数据,结合海洋遥感获得的SST,分析了渔汛期间鲐鱼栖息地的适宜SST范围,探讨了SST变动情况下鲐鱼栖息地的变化趋势。研究结果表明,东、黄海鲐鱼7—12月的适宜SST范围为15~30℃。根据政府气候变化专门委员会(IPCC)第四份评估报告,本文拟定4种SST上升的情况,即(1)每月平均SST+0.5℃;(2)每月平均SST+1℃;(3)每月平均SST+2℃;(4)每月平均SST+4℃。结果显示,东、黄海鲐鱼的潜在栖息有明显向北移动的趋势,并且栖息地面积逐渐减小。研究认为,全球气候变化引起的SST上升,可能会对近海鲐鱼栖息地造成严重的影响。     

VIIRS和AVHRR海表温度场空间精细度估算

对上层海洋次中尺度过程研究至关重要的卫星海表温度(Sea Surface Temperature, SST)场的空间精细度一直未受到足够重视。由于卫星SST产品反演噪声的影响和实测数据的缺乏等原因,目前对卫星SST场空间精细度的研究受到较大限制。本研究开发了一套估算卫星SST场空间精细度的方法,将Suomi National Polar-orbiting Partnership卫星Visible Infrared Imager Radiometer Suite(Suomi-NPP/VIIRS)和NOAA-15卫星Advanced Very High Resolution Radiometer(NOAA-15/AVHRR)Level-2 SST场的空间能量谱与长时间在同一航线反复观测的高空间分辨率实测海温数据的空间能量谱进行了比较。研究发现VIIRS SST场夜间沿扫描方向在1.5～50 km尺度对海表温度空间能量的分布特征和变化趋势描述准确,日变化导致VIIRS白天场次中尺度空间谱能量相对夜晚有所增加。AVHRR SST场空间谱能量在次中尺度相比VIIRS有较大升高。     

4DVAR Data Assimilation with the Regional Ocean Modeling System (ROMS): Impact on the Water Mass Distributions in the Yellow Sea

In this study, we evaluate the performance of the recently developed incremental strong constraint 4-dimensional variational (4DVAR) data assimilation applied to the Yellow Sea (YS) using the Regional Ocean Modeling System (ROMS). Two assimilation experiments are compared: assimilating remote-sensed sea surface temperature (SST) and both the SST and in-situ profiles measured by shipboard CTD casts into a regional ocean modeling from January to December of 2011. By comparing the two assimilation experiments against a free-run without data assimilation, we investigate how the assimilation affects the hydrographic structures in the YS. Results indicate that the SST assimilation notably improves the model behavior at the surface when compared to the non-assimilative free-run. The SST assimilation also has an impact on the subsurface water structure in the eastern YS; however, the improvement is seasonally dependent, that is, the correction becomes more effective in winter than in summer. This is due to a strong stratification in summer that prevents the assimilation of SST from affecting the subsurface temperature. A significant improvement to the subsurface temperature is made when the in-situ profiles of temperature and salinity are assimilated, forming a tongue-shaped YS bottom cold water from the YS toward the southwestern seas of Jeju Island.     

渤、黄、东海海表面温度年际变化特征分析

将渤、黄、东海海表面温度作为一个整体场,研究其年际变化特征,并进一步探讨其与东亚季风场年际变化特征的关系.利用美国NOAA极轨卫星中的高级甚高分辨率辐射计(AVHRR)反演的海表面温度资料,采用EOF方法分冬夏两季对渤、黄、东海SST的年际变化做了初步分析,发现渤、黄、东海SST存在显著的年际变化周期,冬季存在5 a的显著变化周期,夏季存在4 a的显著变化周期,并研究了东亚季风场的年际变化对SST变化产生的影响.发现冬季日Nin0年东亚寒潮活动弱于La Nina年,El Nino年SST较La Nina年偏高;夏季El Nino.年东亚夏季风活动弱于La Nina年,El Nino年SST较La Nina年偏低,但是趋势不如冬季明显.     

Generation of high resolution sea surface temperature using multi-satellite data for operational oceanography

In the present article, we introduce a high resolution sea surface temperature(SST) product generated daily by Korea Institute of Ocean Science and Technology(KIOST). The SST product is comprised of four sets of data including eight-hour and daily average SST data of 1 km resolution, and is based on the four infrared(IR) satellite SST data acquired by advanced very high resolution radiometer(AVHRR), Moderate Resolution Imaging Spectroradiometer(MODIS), Multifunctional Transport Satellites-2(MTSAT-2) Imager and Meteorological Imager(MI), two microwave radiometer SSTs acquired by Advanced Microwave Scanning Radiometer 2(AMSR2), and Wind SAT with in-situ temperature data. These input satellite and in-situ SST data are merged by using the optimal interpolation(OI) algorithm. The root-mean-square-errors(RMSEs) of satellite and in-situ data are used as a weighting value in the OI algorithm. As a pilot product, four SST data sets were generated daily from January to December 2013. In the comparison between the SSTs measured by moored buoys and the daily mean KIOST SSTs, the estimated RMSE was 0.71°C and the bias value was –0.08°C. The largest RMSE and bias were 0.86 and –0.26°C respectively, observed at a buoy site in the boundary region of warm and cold waters with increased physical variability in the Sea of Japan/East Sea. Other site near the coasts shows a lower RMSE value of 0.60°C than those at the open waters. To investigate the spatial distributions of SST, the Group for High Resolution Sea Surface Temperature(GHRSST) product was used in the comparison of temperature gradients, and it was shown that the KIOST SST product represents well the water mass structures around the Korean Peninsula. The KIOST SST product generated from both satellite and buoy data is expected to make substantial contribution to the Korea Operational Oceanographic System(KOOS) as an input parameter for data assimilation.     

Remotely sensed variability of temperature and chlorophyll in the southern Benguela: upwelling frequency and phytoplankton response

High-resolution (1km) satellite data from the NOAA AVHRR (Advanced Very High Resolution Radiometer) and OrbView-2 SeaWiFS (Sea-viewing Wide Field-of-view Sensor) are used to investigate the upper layer dynamics of the southern Benguela ecosystem in more detailed space and time scales than previously undertaken. A consistent time-series of daily sea surface temperature (SST) and chlorophyll a concentration images is generated for the period July 1998–June 2003, and a quantitative analysis undertaken. The variability in SST, upwelling and phytoplankton biomass is explored for selected biogeographic regions, with particular focus on intra-seasonal time scales. The location and emergence of upwelling cells are clearly identified along the length of the southern Benguela, being distinct on the narrow inner and the mid-continental shelves. Most notable is the rapidly pulsating nature of the upwelling, with intense warm/cold events clearly distinguished. The phytoplankton response to this physical forcing is described. Chlorophyll concentration on the inner shelf largely mirrors the pattern of SST variability, similarly dominated by event-scale processes. Over the mid-shelf, higher chlorophyll is observed throughout all seasons, although low biomass occurs during winter. The variability of the offshore extent of SST and chlorophyll is identified at locations of differing shelf width. Cooler upwelled water is confined primarily to the narrow inner-shelf, with event-scale pulses extending considerable distances offshore. Agulhas Current influences are readily observed, even on the Cape Peninsula inner-shelf. Chlorophyll concentrations vary considerably between the locations of differing shelf width. SST, upwelling and phytoplankton indices are derived for selected locations to quantify the intra-seasonal variations. The SST indices show marked temperature changes associated with rapid pulsation on the event scale. No strong seasonal signal is evident. In contrast, the upwelling indices display a strong seasonal signal, with most intense upwelling occurring in spring/summer in the south. The phytoplankton response to the seasonal upwelling index differs between the selected locations. This study concludes that, although low-resolution SST and chlorophyll data may be useful for investigating general patterns over large scales, higher resolution data are necessary to identify finer scale spatial and temporal variability, especially in the inshore coastal zones.     

Diurnal SST warming in the Bay of Biscay: satellite measurements and model prediction

INTRODUCTIONIt has long been recognized that a diurnal thermal cycle occurs in the upper layer of the ocean(Stommel et al., 1969; Price and Weller, 1986). Interest in the subject has revived in recentyears due to the importance of resolving the diurnal cycle for correctly coupling the ocean and atmosphere (Lukas, 1991 ). While the study of the diurnal cycle is of intrinsic scientific interest, italso offers the benefit to remote sensing scientists of identifying the bias caused by the di…     

闽南-台湾浅滩渔场海表温度对鲐鲹鱼类群聚资源年际变动的影响初探

利用闽南-台湾浅滩渔场1986-1997年遥感海表温度资料与同期灯光围网渔业信息船的渔捞日志,对该渔场海表温度与鲐鲹鱼类群聚资源年际变动之间的关系进行了初步的探讨.结果表明,沿着25.5℃等温线形成一个中心渔场,空间位置的年际摆动范围在纬向上小于0.5°;海表温度距平(SSTA)与鲐鲹鱼类资源指数的变动在年际尺度上没有关联,但在年代际尺度上存在一定关联,1988年起SSTA摆动的频度和幅度在正值态大于负值态,而资源指数则呈现逐步上升的趋势.     

北白令海夏季冷水团的分布及其年际变化研究

利用1982-2008年间的高分辨率CTD数据,对夏季位于北白令海陆架底层的冷水团性质及其多年变化进行了研究.结果表明,依据该区域水体在温盐性质上的差异可以分为4类:陆架冷水团(BSW_C),白令海陆坡流水(BSCW),混合变性水(MW),陆架表层暖水(BSW_S).以-1℃,2℃和4℃温度等值线指示水团边界,清楚地将...     

Detection of cyclonic eddy generated by looping tropical cyclone in the northern South China Sea:a case study

A case study on the cyclonic eddy generated by the tropical cyclone looping over the northern South China Sea (NSCS) is presented, using TOPEX/POSEIDON altimeter data and AVHRR sea surface temperature (SST) data.Three cases relating to the tropical cyclone events (Typhoon Kai-Tak in July 2000, Tropical Storm Russ in June 1994and Tropical Storm Maria in August-September 2000) over the NSCS have been analyzed. For each looping tropical cyclone case, the cyclonic eddy with an obvious sea level depression appears in the sea area where the tropical cyclone takes a loop form, and lasts for about 2 weeks with a slight variation in location. The cold core with the SST difference greater than 2 ℃ against its surrounding areas is also observed by the satellite-derived SST data.     

2016年苏北近海风场和波浪场多时间尺度变化的数值模拟研究

利用高分辨率的大气和波浪数值模式,模拟了2016年苏北近海的风场和波浪场,并与卫星高度计资料、散射计风场、再分析资料以及实测浮标资料进行了比较,验证了模式的准确性。基于这套模式结果,系统地分析了江苏近海的风场和波浪场的多时间尺度变化:季节变化、日变化以及季节内变化(台风、寒潮)。分析结果表明:苏北近海海域的风速、有效波高和涌浪在冬季和秋季较大、春季和夏季较小;冬季盛行西北风,常浪向为西北向,夏季盛行东南风,常浪向为东南向。风场和波浪场还具有显著的日变化特征,且日变化存在季节变化规律,离岸越近海域日变化特征越明显。同时,江苏近海还会经历季节内尺度的强天气过程的影响,比如台风和寒潮。