首页> 中文期刊> 《中国科学》 >Relationships of along-the-track local variations of GPS RO impact parameter to strong local vertical gradient of wet refractivity in the tropics

Relationships of along-the-track local variations of GPS RO impact parameter to strong local vertical gradient of wet refractivity in the tropics

         

摘要

Atmospheric refractivity fields are more strongly affected by more water vapor in the tropical lower troposphere than elsewhere.In this study,based on model simulations,we first collocated the radio occultation(RO)data in 2009 from the Constellation Observing System for Meteorology,Ionosphere,and Climate(COSMIC)with CloudSat cloud profiling radar data.We then investigate where and why a RO ray path intersects with other simulated rays of impact heights above and/or below the impact height of the ray.Using the European Centre for Medium-Range Weather Forecasts ERA5 reanalysis as input to a raytracing observation operator,we show that the simulated impact parameters could vary along the ray in the tropical lower troposphere.For brevity,an intersection of a GPS RO ray path with rays above it or below it or both will be called an impact multipath.By overlapping simulated ray trajectories over the vertical and horizontal gradients of refractivity in 2D occultation planes,impact multipath occurrences are vividly illustrated.Statistical results show that the impact multipath is caused mostly by strong local vertical gradients of atmospheric wet refractivity mostly within 300 km horizontal distances from their perigee positions.The impact multipath occurs more frequently below 5-km impact height,with a maximum occurrence around the 3.4 km impact height(about 1.8 km geometric height).It is shown that both the simulated impact multipath phenomena and locally strong vertical gradients of wet refractivity are found in both cloudy and clear-sky conditions,and most frequently in presences of stratocumulus clouds.

著录项

  • 来源
    《中国科学》 |2021年第11期|P.2015-2026|共12页
  • 作者

    Shengpeng YANG; Xiaolei ZOU;

  • 作者单位

    Joint Center of Data Assimilation for Research and Application Nanjing University of Information Science&Technology Nanjing 210044 China;

    Joint Center of Data Assimilation for Research and Application Nanjing University of Information Science&Technology Nanjing 210044 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 数学分析;
  • 关键词

    GPS RO; Multipath; Troposphere;

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