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'Ocean Weather' in the Gulf of Mexico: Exploiting Real-Time Satellite Ecological Properties and Circulation Models for Coastal Ocean Monitoring

机译:墨西哥湾的“海洋天气”:利用沿海海洋监测的实时卫星生态特性和循环模型

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The fusion of real-time remote sensing imagery with numerical ocean circulation models provides a unique capability for monitoring the coastal ocean. A real-time ocean monitoring system is currently operating in the Gulf of Mexico. Dynamic changes in the ocean environment occur on scales of hours, days, weeks and years, which influence biological, ecological and physical processes. By monitoring these processes at different spatial resolutions, new enhanced capability is available to coastal managers and researchers for making decisions. Monitoring of physical processes and bio-optical responses are currently being done for the Gulf of Mexico. Open ocean eddies and loop current interact with coastal processes such as river plumes and tides and have significant impact on the biological and ecological processes along our shores. Until now we had no capability to routinely monitor these ocean conditions without insitu sensors and observations. Now the "weather" in the Gulf of Mexico is being monitored daily and provides coastal managers and researchers an edge in tracking or pin-pointing events. This information assists the decision maker in identifying how physical events are influencing the coastal ecosystem. How is this being done? Improved bio-optical algorithms have been developed and applied to ocean color satellite imagery from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) providing estimates of water constituents such as absorption properties from phytoplankton, color dissolved organic matter (CDOM), and detritus and backscattering properties related to sediment concentration. In addition, advances in numerical circulation modeling (Navy Coastal Ocean Model - NCOM) provide nowcasts and forecasts of coastal processes (currents, sea surface height, salinity and temperature). Physical ocean properties of temperature, salinity, and currents from NCOM are combined with daily latest pixel composite products of phytoplankton, CDOM, and detritus absorption, backscattering and sea surface temperature (SST). We demonstrate an advanced environmental monitoring capability available operationally that highlights the fusion of physical (model) and bio-optical properties (satellite). The entire Gulf conditions are demonstrated daily in addition to higher resolution monitoring of coastal conditions. We will focus on Mississippi and Louisiana Coast using high resolution (250 meter resolution) MODIS imagery. We will demonstrate a capability of supporting coastal manager's and researchers integrating satellite bio-optical products, model circulation (current vectors), sea surface height (contours), salinity (contours) and temperature (contours) layers into Google Earth. In addition, we will demonstrate promising new research using satellite optics and numerical models to create surface optical forecast (hourly increments up to 48 hours) and a 3-D optical volume of the ocean derived from a physical (model)/optical (satellite) Gaussian relationship optimized using insitu profiles. By using these methods of fusing the satellite and ocean circulation model it will provide coastal zone managers with a new capability to assess, predict and track Harmful Algal Blooms, Hypoxia, and sediment discharge.
机译:具有数值海洋循环模型的实时遥感图像的融合提供了监控沿海海洋的独特能力。实时海洋监测系统目前在墨西哥湾运营。海洋环境中的动态变化发生在几小时,天,周和年龄,影响生物,生态和物理过程。通过在不同的空间分辨率下监测这些流程,新的增强能力可供沿海经理和研究人员获得决策。目前正在为墨西哥湾进行物理过程监测和生物光学响应。开放的海洋漩涡和环流与沿海流程相互作用,如河流和潮汐,对我们海岸的生物和生态过程产生重大影响。到目前为止,我们没有能力在没有Insitu传感器和观察的情况下经常监控这些海洋情况。现在正在每天监测墨西哥湾的“天气”,并在沿海管理人员提供追踪或针尖事件的边缘。该信息协助决策者确定物理事件如何影响沿海生态系统。这是怎么做的?改进的生物光学算法已经开发并应用于来自美国国家航空航天局的中等分辨率成像光谱仪(MODIS)的海洋卫星图像,提供水成分的估计,例如来自浮游植物,颜色溶解的有机物质(CDOM)的吸收性能,以及滴灌和反向散射性质相关的沉积物浓度。此外,数值循环建模(海军沿海海洋模型 - NCOM)的进步提供了沿海过程(电流,海面高度,盐度和温度)的截图和预测。 NCOM的温度,盐度和电流的物理海洋性质与每日最新的浮游植物,CDOM和DETRITUS吸收,背散射和海表面温度(SST)相结合。我们展示了先进的环境监测能力,可操作地突出显示物理(模型)和生物光学性质(卫星)的融合。除沿海条件的更高分辨率监测外,还在每天展示整个海湾条件。我们将专注于密西西比州和路易斯安那海岸,使用高分辨率(250米分辨率)Modis Imagery。我们将展示支持沿海经理和研究人员集成卫星生物 - 光学产品的研究人员,模型循环(电流向量),海面高度(轮廓),盐度(轮廓)和温度(轮廓)层进入Google地球。此外,我们将使用卫星光学和数值模型来展示有前途的新研究,以创建表面光学预测(每小时增量长达48小时)和来自物理(型号)/光学(卫星)的海洋的3D光学音量高斯关系使用Insitu配置文件进行优化。通过使用这些融合卫星和海洋循环模型的方法,它将提供沿海地区经理,具有评估,预测和跟踪有害藻类,缺氧和沉积物排放的新能力。

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