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A Virtual Mission to Estimate Discharge Using Assimilation of High-resolution Simulated SWOT Data: Initial Results Over the Ohio River

机译:使用高分辨率模拟SWOT数据进行估算的虚拟任务:俄亥俄州河上的初步结果

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In this paper we present a framework for a virtual mission (VM) that 1) models the basin-wide physical and hydraulic processes of a chosen study region, namely the Ohio river basin, 2) samples those processes with a high fidelity SWOT simulation to deliver realistic high-resolution temporally subsampled, spatially dense interferograms, 3) reconstructs the water surface elevation from the synthetic interferometric measurement. This is part of an ongoing effort where the elevation measurements, as during the SWOT mission, will be integrated into a data assimilation framework to estimate discharge. We present results from the key elements of the VM Ohio basin configuration including the study region extent and hydrodynamics model setup. Furthermore, an example of georeferenced reconstructed heights derived from the SWOT instrument simulator over the Ohio modeled region is given. These results illustrate the effects of random (thermal and fading/speckle) noise of the height estimates as well as explicitly evaluating the effects of topographic layover. In the near future the hydrodynamic modeling and synthetic SWOT acquisitions over the region will be run for several "virtual" months to provide data to support the discharge estimation algorithm development in preparation for SWOT.
机译:在本文中,我们为虚拟任务(VM)提供了一个框架,该框架1)对所选研究区域(即俄亥俄河流域)的整个盆地的物理和水力过程进行建模,2)使用高保真度SWOT模拟对这些过程进行采样,提供逼真的高分辨率的时间上二次采样的,空间密集的干涉图; 3)从合成干涉测量法重建水面高程。这是正在进行的工作的一部分,在该工作中,如SWOT任务期间的海拔测量将被集成到数据同化框架中以估算流量。我们从VM俄亥俄盆地构造的关键要素(包括研究区域范围和流体动力学模型设置)中得出当前的结果。此外,给出了从俄亥俄模型区域上的SWOT仪器模拟器导出的地理参考重建高度的示例。这些结果说明了高度估计的随机(热和衰落/斑点)噪声的影响,以及明确评估了地形停留的影响。在不久的将来,该地区的水动力模型和合成SWOT采集将运行数个“虚拟”月份,以提供数据来支持为SWOT做准备的流量估算算法的开发。

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