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Evaluation of cygnss in understanding the convective winds in the weak December 2011 MJO event captured by the dynamo field experiment

机译:cygnss在了解由发电机野外实验捕获的2011年12月弱MJO事件中对流风的评估

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摘要

The Cyclone Global Navigation Satellite System (CYGNSS), a constellation satellite system set to launch in late 2016, is designed so that it will measure ocean surface wind speeds with high spatial and temporal resolution across the Tropics. As a dominant planetary circulation in the Tropics, a Madden-Julian Oscillation (MJO) event was analyzed within a CYGNSS simulator in order to evaluate the data that will retrieved by the satellite prior to launch. The MJO is defined by the slow eastward propagation of enhanced convection across the equatorial region and is known to affect tropical cyclones, monsoon rainfall, ENSO, and other atmospheric and oceanic phenomena. The convective signal of the MJO exists across the data void regions of the Indian and Pacific Oceans. To overcome sparse datasets within the Tropics, CYGNSS will capture ocean surface winds across the tropics via bi-static scatterometry, even through regions of precipitation. This study examines the ability of CYGNSS to effectively observe the small scale wind features associated with the MJO and associated convective storm activity. Data from the weak December 2011 MJO event that occurred during the DYNAMO campaign are assimilated in WRF. Those forecasts are ingested into the CYGNSS end-to end-simulator for analysis of wind data as expected from CYGNSS.
机译:旋风全球导航卫星系统(CYGNSS)是一种定于2016年末发射的星座卫星系统,其设计目的是以热带地区的高时空分辨率测量海面风速。作为热带地区占主导地位的行星环流,在CYGNSS模拟器中对Madden-Julian振荡(MJO)事件进行了分析,以便评估卫星在发射前将检索到的数据。 MJO是由对流在赤道区域内向东缓慢传播所定义的,已知会影响热带气旋,季风降雨,ENSO以及其他大气和海洋现象。 MJO的对流信号存在于印度洋和太平洋的数据无效区域。为了克服热带地区内稀疏的数据集,CYGNSS将通过双静态散射法甚至穿越降水区域来捕获整个热带的海面风。这项研究检验了CYGNSS有效观测与MJO和对流风暴活动有关的小规模风特征的能力。在WRF中吸收了DYNAMO活动期间发生的2011年12月MJO弱事件的数据。这些预测被摄入到CYGNSS端到端仿真器中,以便按照CYGNSS的预期分析风数据。

著录项

  • 作者

    Hoover, Kacie E.;

  • 作者单位

    The University of Alabama in Huntsville.;

  • 授予单位 The University of Alabama in Huntsville.;
  • 学科 Atmospheric sciences.;Meteorology.
  • 学位 M.S.
  • 年度 2016
  • 页码 120 p.
  • 总页数 120
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TS97-4;
  • 关键词

  • 入库时间 2022-08-17 11:46:47

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