首页> 外文会议>International Conference on Remote Sensing for Marine and Coastal Environments >REALIZATION OF A DEDICATED SYNERGISTIC STUDY OF THE WHITE SEA BASED ON SPACEBORNE, SHIPBORNE AND ECOLOGICAL MODELING MEANS*
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REALIZATION OF A DEDICATED SYNERGISTIC STUDY OF THE WHITE SEA BASED ON SPACEBORNE, SHIPBORNE AND ECOLOGICAL MODELING MEANS*

机译:基于星载,船载和生态建模的白海专用协同研究*

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A new satellite-nonspecific algorithm for a simultaneous retrieval of content of such water quality proxies as phytoplankton chlorophyll, suspended minerals and dissolved organics has been developed and applied for the surveillance of spatial and temporal dynamic in the water quality and productivity in Onega Bay of the White Sea. Infrared and microwave data were used to investigate, respectively, the spatial and temporal distribution of water surface temperature and expressions of some hydrodynamic dynamic phenomena (river-related fronts, internal waves, etc). The spaceborne data were backed up by in situ data collected from a R/V as well as by hydrodynamic and chemical and biological numerical modeling. The model takes into account all major specific features of the White Sea, viz. water temperature and salinity horizontal and vertical variations, tidal motions, water exchange between the White and Barents Seas, river water and nutrients discharge, freezing, ice thickness and concentration dynamics. The collected remote sensing, in situ and numerical modeling data related to the Onega Bay hydrodynamics and water chemistry and biology proved to be mutually highly consistent concertedly enriching the portrait of this water body. As a result, the properly concatenated and conjointly analyzed multifaceted data constituted a veritably synergistic approach providing a considerably more adequate insight into a variety of in-water processes inherent in such semi-enclosed water bodies as the White Sea that experience a spectrum of impacts generated by multiple external forces.
机译:一种新的卫星非特异性算法,用于同时检索这种水质代理的含量叶绿素,悬浮的矿物质和溶解有机物的含量,并应用了在Onega湾水质和生产率的空间和时间动态监测白海。红外和微波数据用于分别研究水面温度的空间和时间分布,以及一些流体动力动态现象(河流相关前锋,内部波等)的表达。通过从R / V的原位数据以及流体动力学和化学和生物学模型来备份星载数据。该模型考虑了白海,viz的所有主要特定功能。水温和盐度水平和垂直变化,潮汐动作,白银海洋之间的水交换,河水和养分排放,冷冻,冰厚度和浓度动力学。收集的遥感,原位和与onega湾流体动力学和水化学和生物学相关的数值建模数据证明是相互高度一致的,响应富集该水体的肖像。结果,适当的连接和结合分析的多方面数据构成了一种可靠的协同方法,提供了相当更充分的洞察力,该方法可容纳了这种半封闭水体内固有的各种内部水的过程,作为经历产生的影响的频谱由多个外力。

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