首页> 外文会议>Coastal Ocean Remote Sensing; Proceedings of SPIE-The International Society for Optical Engineering; vol.6680 >Forecasting Coastal Optical Properties using Ocean Color and Coastal Circulation Models
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Forecasting Coastal Optical Properties using Ocean Color and Coastal Circulation Models

机译:使用海洋颜色和海岸环流模型预测海岸光学特性

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Coupling the 3-d ocean optical imagery with 3-d circulation models provides a new capability to understand coastal processes. Particle distribution derived from ocean color optical properties were coupled with numerical circulation models to determine a 24 hour forecast of particle concentrations. A 3-d particle concentration field for the coastal ocean was created by extending the surface satellite bio-optical properties vertically by parameterzing an expediential Gaussian depth profile. The shape of the vertical particle profile was constrained by 1) the depth of the 1% light level 2) the mixed layer depth 3) the intensity of the layer stratification 4) and subsurface current field and the surface bio-optical properties. These properties were obtained from MODIS ocean optical products (phytoplankton absorption and backscattering) and the Intra-America Sea Nowcast Forecast System - Naval Coastal Ocean Model. The 3-d particle distribution was imbedded into a 3-d circulation model and the particles advected hourly using forecast model 3-d current. The particles were diffused, dispersed and differentially settled during the advection processes. Following the 24 hour advection, the resultant particle distribution were accumulated into 1 km spatial grid and vertically to a 1 attenuation length (satellite penetration depth) and the forecast ocean color backscattering image determined. The forecast image was compared with the next day ocean color backscattering image to define the error budget. The ocean color particle tracking, defines fine spatial scales processes such as local upwelling and downwelling, which are essential in understanding the coupling of physical and bio-optical processes. The methods provide new capability for characterizing how subsurface particles layers change in response to cross and along shelf exchange processes. Results show methods to forecast satellite optical properties in coastal areas and examine how sequential MODIS imagery of the particle scattering is related to particle transport and physical processes.
机译:将3维海洋光学影像与3维循环模型耦合起来,提供了一种了解沿海过程的新功能。将源自海洋颜色光学特性的粒子分布与数值环流模型相结合,以确定对粒子浓度的24小时预报。通过参数化指数高斯深度剖面垂直扩展表面卫星的生物光学特性,创建了沿海海洋的3-d粒子浓度场。垂直粒子轮廓的形状受到以下限制:1)1%光照水平的深度2)混合层深度3)层分层的强度4)和地下电流场以及表面生物光学特性。这些属性是从MODIS海洋光学产品(浮游植物吸收和反向散射)和美洲海临近预报系统-海军沿海海洋模型获得的。将3-d粒子分布嵌入到3-d循环模型中,并使用预测模型3-d当前每小时对流一次。在对流过程中,颗粒扩散,分散并不同程度地沉降。对流24小时后,所得颗粒分布累积到1 km空间网格中,并垂直累积到1衰减长度(卫星穿透深度),并确定了预测的海洋颜色反向散射图像。将预测图像与第二天的海洋颜色反向散射图像进行比较,以定义误差预算。海洋颜色粒子跟踪定义了精细的空间尺度过程,例如局部上涌和下涌,这对于理解物理和生物光学过程的耦合至关重要。该方法提供了表征地下颗粒层如何响应交叉交换和沿架子交换过程变化的新功能。结果显示了预测沿海地区卫星光学特性并检查粒子散射的顺序MODIS图像如何与粒子传输和物理过程相关的方法。

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