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Validation and Impact of SCATSAT-1 Scatterometer Winds

机译：Scatsat-1散射仪风的验证和影响

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摘要

Scatterometer winds are useful in weather forecasting and cyclone monitoring related activities. The Indian Space Research Organization has launched SCATSAT-1, which is a follow-up mission of the Oceansat-2 scatterometer in September 2016. It operates in the Ku-band frequency and provides wind vector data over oceanic region from sun synchronous polar orbit. SCATSAT-1 wind vector data are validated against buoy observations, other scatterometer observations and numerical weather prediction (NWP) analysis. It is found that SCATSAT observations are of good quality in comparison with other similar types of measurements. Impact of assimilation of these observations in NWP forecasts is investigated using the National Centre for Medium Range Weather Forecasting Global Forecast System (NGFS). The NGFS model employs a three-dimensional variational-ensemble Kalman filter (3D Var-EnKF) hybrid assimilation system with a deterministic model of T-1534 resolution and 80 member ensembles of T-574 resolution. Impact of assimilation of SCATSAT-1 observations in prediction of the Kyant, Nada and Varadha cyclones formed in the Bay of Bengal region and impact on operational forecasts are discussed. Assimilation of SCATSAT observations produced marginal improvement in general NWP forecast statistics and improvement is observed in cyclone track forecasts if observations are available near the cyclone position at analysis time.
机译：散射仪风可用于天气预报和旋风监测相关活动。印度空间研究组织推出了Scatsat-1，这是2016年9月的Oceansat-2散射仪的后续任务。它以Ku波段频率运行，并从太阳同步极性轨道上提供海洋区域的风矢量数据。 Scatsat-1风传染媒介数据针对浮标观测，其他散射仪观察和数值天气预报（NWP）分析验证。结果发现，与其他类似类型的测量相比，Scatsat观察结果很好。使用国家中范围天气预报中心（NGFS）调查了对NWP预测中的这些观察结果的同化的影响。 NGFS模型采用三维变化集合Kalman滤波器（3D VAR-ENKF）混合同化系统，其具有T-1534分辨率的确定性模型和T-574分辨率的80个成员集合。讨论了在孟加拉地区湾形成的Kyant，NADA和varadha旋风中的Scatsat-1观察的影响以及对操作预测的影响。 Scatsat观察的同化在旋风轨道预测中观察到一般NWP预测统计数据的边际改善，如果在分析时间附近的旋风位置，则在旋风轨道预测中观察到改进。

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