期刊文献+

COSMIC掩星数据与L波段探空数据的对比分析 被引量:23

Comparison Between the COSMIC and the L Band Radiosonde Data
下载PDF
导出
摘要 COSMIC(Constellation Observation System for Meteorology,Ionosphere and Climate)每天可以提供全球2000~3000条从40 km高空到近地面的大气温、压、湿的廓线资料,有效地弥补了常规探空资料在时间和空间上分辨率的不足。通过对2008年5月20日至2008年11月26日COSMIC资料与L波段探空秒数据进行比对,结果表明,在10 km高度以下,COSMIC反演的湿廓线资料与L波段探空数据偏差较小,温度偏差为-0.5℃,均方根误差为1.5℃;折射率偏差为1.4N,均方根误差为5.9N;气压偏差为2.0 hPa,均方根误差为4.7 hPa;水汽压偏差为0.1 hPa,均方根误差为1.1 hPa。COSMIC干廓线资料与L波段探空相比,在10~30 km高度内,温度偏差为-0.3℃,均方根误差为1.9℃;折射率偏差为0.4N,均方根误差为0.9N;气压偏差为1.4 hPa,均方根误差为2.6 hPa。表明COSMIC资料既具有较高的时空分辨率,又具有较好的精度,在数值模式中具有重要的潜在应用。 COSMIC(Constellation Observation System for Meteorology,Ionosphere and Climate),a spacebased GPS constellation observing system of six low-earth-orbit satellites,provides approximately 2000 to 3000 profiles of atmospheric temperature,pressure,humidity from 40 km to the ground each day,and greatly enhances the atmospheric observation in spatial and temporal resolution.To evaluate the accuracy, the COSMIC observations were compared with the L band radiosonde from May 20 to November 26,2008. The comparison of the wet profiles below 10 km showed that the deviation is -0.5℃for temperature, 1.4N for refractivity index,2.0 hPa for pressure,0.1 hPa for vapor pressure;while their root mean square errors(RMS) are 1.5℃,5.9N,4.7 hPa,1.1 hPa,respectively.As for the dry profiles,between 10 km and 30 km,the deviations are -0.3℃in temperature,0.4N in refractivity index,1.4 hPa in vapor pressure,while the RMSs are 1.9℃,0.9N and 2.6 hPa,respectively,which implies their potential applications in numerical weather prediction owing to the high spatial and temporal resolution and high accuracy.
出处 《气象》 CSCD 北大核心 2010年第9期14-20,共7页 Meteorological Monthly
基金 国家气象中心"面向业务数值预报的重点资料关键应用技术研究(GYHY200806003)" 气象探测中心"地基遥感与雷达定量测量降水实验"资助
关键词 COSMIC 探空 误差分析 同化 COSMIC L band radiosonde error analysis assimilation
  • 相关文献

参考文献15

  • 1宋连春,李伟.综合气象观测系统的发展[J].气象,2008,34(3):3-9. 被引量:98
  • 2李伟,邢毅,马舒庆.国产GTS1探空仪与VAISALA公司RS92探空仪对比分析[J].气象,2009,35(10):97-102. 被引量:44
  • 3杜晓勇,毛节泰.GPS-LEO掩星探测现状和展望[J].高原气象,2008,27(4):918-931. 被引量:8
  • 4Zou X, Zhen Zeng. A quality contral procedure for GPS radio calculation data[J]. Journal of Geophysical Research, 111,D02112,doi:10.1029/2005JD005846,2006.
  • 5曹云昌,方宗义,夏青.地空基GPS探测应用研究进展[J].南京气象学院学报,2004,27(4):565-572. 被引量:25
  • 6Christian Rocken, Ying-Hwa Kuo, Sergey Sokolovskiy, et al. The ROCSAT 3/COSMIC Mission and Applications of GPS Radio Occultation Data to Weather and Climate Remote Sensing Applications of the Global Positioning System, 2004, 5661: 1-12.
  • 7Kuo Y H, Sokolovskiy S, Anthes R A, et al. Assimilation of GPS radio occultation data for numerical weather prediction[J].Special issue of Terrestrial, Atmospheric and Oceanic Science, 11(1) : 157-186, March 2000.
  • 8Syndergaard S. Retrieval Analysis and Methodologies in Atmospheric Limb Sounding Using the GNSS Occultation Technique[R]. DMI Scientie Report, Danish Meteorological Institute, Copenhagen, Denmark, 1996(6) :49-52.
  • 9Syndergaard S. Modeling of the effect of the Earth's oblateness on the retrieval of temperature and pressure profile from limb sounding [J].J Atmos Solar-Terr Phys, 1998,60: 171- 180.
  • 10陶士伟,郝民,薛纪善,窦以文.数值预报同化系统中观测资料误差分析[J].气象,2008,34(7):34-40. 被引量:9

二级参考文献161

共引文献201

同被引文献303

引证文献23

二级引证文献132

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部