首页> 外文会议>OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges >“Ocean weather” in the Gulf of Mexico: Exploiting real-time satellite ecological properties and circulation models for coastal ocean monitoring
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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”:利用实时卫星生态特性和环流模型进行沿海海洋监测

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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 absorpt-ion, 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:实时遥感影像与数值海洋环流模型的融合为监测沿海海洋提供了独特的功能。墨西哥湾目前正在使用实时海洋监测系统。海洋环境的动态变化发生在数小时,数天,数周和数年的规模上,影响生物,生态和物理过程。通过以不同的空间分辨率监视这些过程,沿海管理人员和研究人员可以使用新的增强功能来进行决策。目前正在对墨西哥湾进行物理过程和生物光学响应的​​监控。开放的海洋涡流和环流与诸如河流羽流和潮汐之类的沿海过程相互作用,并对我们沿岸的生物和生态过程产生重大影响。到现在为止,如果没有原位传感器和观测器,我们将无法例行监视这些海洋状况。现在,天气如何?墨西哥湾每天都会受到监控,它为沿海管理人员和研究人员提供了追踪或查明事件的优势。这些信息有助于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?已经开发出了改进的生物光学算法,并将其应用于NASA中分辨率成像光谱仪(MODIS)的海洋彩色卫星图像,该图像提供了水成分的估算值,例如浮游植物的吸收特性,颜色溶解的有机物(CDOM)以及与碎屑和背向散射相关的特性沉积物浓度。另外,数值环流模型的发展(海军沿海海洋模型-NCOM)提供了对沿海过程(洋流,海面高度,盐度和温度)的临近预报和预报。 NCOM的温度,盐度和洋流的物理海洋特性与浮游植物,CDOM和碎屑吸收的每日最新像素复合产品相结合。 离子,背向散射和海面温度(SST)。我们展示了可操作使用的高级环境监控功能,该功能强调了物理(模型)和生物光学特性(卫星)的融合。除了对海岸情况进行更高分辨率的监测外,每天还演示整个海湾地区的情况。我们将使用高分辨率(250米分辨率)MODIS图像专注于密西西比州和路易斯安那州海岸。我们将展示一种支持沿海管理人员和研究人员将卫星生物光学产品,模型循环(电流矢量),海面高度(轮廓),盐度(轮廓)和温度(轮廓)层集成到Google Earth中的能力。此外,我们将展示有前途的新研究,利用卫星光学和数值模型创建地表光学预报(每小时递增至48小时),以及从物理(模型)/光学(卫星)获得的3-D海洋光学体积高斯关系使用原位剖面进行了优化。通过使用这些融合卫星和海洋环流模型的方法,它将为沿海地区管理人员提供评估,预测和跟踪有害藻华,低氧和沉积物排放的新功能。

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