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Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation

机译:用Cygnss卫星星座确定热带旋风表面风速结构和强度

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The Cyclone Global Navigation Satellite System (CYGNSS) consists of a constellation of eight microsatellites that provide observations of surface wind speed in all precipitating conditions. A method for estimating tropical cyclone (TC) metrics-maximum surface wind speed V-MAX, radius of maximum surface wind speed R-MAX, and wind radii (R-64, R-50, and R-34)-from CYGNSS observations is developed and tested using simulated CYGNSS observations with realistic measurement errors. Using two inputs, 1) CYGNSS observations and 2) the storm center location, estimates of TC metrics are possible through the use of a parametric wind model algorithm that effectively interpolates between the available observations as a constraint on the assumed wind speed distribution. This methodology has a promising performance as evaluated from the simulations presented. In particular, after quality-control filters based on sampling properties are applied to the population of test cases, the standard deviation of retrieval error for V-MAX is 4.3 m s(-1) (where 1 m s(-1) = 1.94 kt), for R-MAX is 17.4 km, for R-64 is 16.8 km, for R-50 is 21.6 km, and for R-34 is 41.3 km (where 1 km = 0.54 n mi). These TC data products will be available for the 2017 Atlantic Ocean hurricane season using on-orbit CYGNSS observations, but near-real-time operations are the subject of future work. Future work will also include calibration and validation of the algorithm once real CYGNSS data are available.
机译:旋风全球导航卫星系统(Cygnss)由八个微卫星的星座组成,可在所有沉淀条件下提供表面风速的观察。一种估算热带气旋(TC)度量最大表面风速V-MAX,最大表面风速R-MAX半径的方法,以及风径(R-64,R-50和R-34) - 从Cygnss观察中使用具有现实测量误差的模拟cygnss观察来开发和测试。使用两个输入,1)Cygnss观察和2)通过使用参数风模型算法,通过使用参数化风模型算法,可以在可用的观测之间用作假设风速分布的约束来实现TC度量的估计。该方法具有从呈现的模拟评估的有希望的性能。特别是,在基于采样属性的质量控制过滤器应用于测试用例的群体之后,V-MAX的检索误差的标准偏差为4.3ms(-1)(其中1ms(-1)= 1.94 kt)例如,对于R-Max是17.4公里,对于R-64,R-50是21.6公里,而R-34是41.3公里(其中1公里= 0.54英里)。这些TC数据产品将可用于2017年大西洋飓风季节,使用轨道轨道观测,但近实时操作是未来工作的主题。未来的工作还将包括算法校准和验证一旦真实的Cygnss数据可用。

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