Optimizing an observable for ocean wind speed retrieval from calibrated GNSS-R delay-Doppler maps

N. Rodriguez-Alvarez, J. Garrison, C. Ruf, M. Clarizia
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引用次数: 1

Abstract

The fundamental measurement produced by Global Navigation Satellite System Reflectometry (GNSS-R) is the cross-correlation between the scattered signal and a local copy of the GNSS code and carrier, producing a bivariate function defined as the delay-Doppler map (DDM). The shape of the DDM is sensitive to the roughness of the scattering surface and, through various empirical models, the ocean surface winds. Ocean winds can be retrieved by fitting a scattering model to DDM observations, or identifying an observable, such as trailing edge slope or DDM area exceeding a threshold. A variety of such methods have been demonstrated with airborne experiments. With the selection of the CYGNSS mission by NASA, there is now a need to extend these methods to spaceborne measurements.
优化从校准的GNSS-R延迟多普勒地图检索海洋风速的观测值
全球导航卫星系统反射测量(GNSS- r)产生的基本测量是散射信号与GNSS代码和载波的本地副本之间的相互关联,产生定义为延迟多普勒图(DDM)的二元函数。DDM的形状对散射表面的粗糙度很敏感,通过各种经验模型,对海面风也很敏感。通过将散射模式拟合到DDM观测值,或确定一个可观测值,例如后缘坡度或DDM面积超过阈值,可以检索到海风。各种这样的方法已经用空中实验证明了。随着美国宇航局选择CYGNSS任务,现在有必要将这些方法扩展到星载测量。
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