期刊文献+

基于MODIS数据与数值模式的云垂直结构估计 被引量:1

Estimation of cloud vertical structure based on MODIS data and numerical model
下载PDF
导出
摘要 为了利用MODIS数据与数值模式估测云的垂直结构,通过运行PSU/NCAR MM5非静力数值模式,以模式输出的温湿廓线与MOD06云顶气压产品插值得到云顶高度,并利用WR95探空分析算法判定云底高度;以CloudSat/CPR主动遥感数据为真值进行云垂直结构的对比试验。初步结果表明:结合MODIS云产品与中尺度数值模式输出的诊断分析产品估测云的垂直结构是可行的,这为不依赖云雷达主动遥感体系获得云的垂直结构提供了一种新的方法。 To evaluate the cloud vertical structure with MODIS data and the numerical model,the cloud top height was interpolated from MOD06 cloud top pressure product and the temperature humidity profiles by running the PSU/NCAR MM5 model.The location of the cloud-layer base was determined by WR95 algorithm.Lastly,CloudSat/CPR products taken as the true cloud vertical structure were compared with the results derived from the two methods.The preliminary results show that MODIS cloud products combined with the mesoscale model output data is feasible to estimate the cloud vertical structure,which is a new way not relaying on CloudSat/CPR initiative remote sensing system to estimate cloud vertical structure.
出处 《解放军理工大学学报(自然科学版)》 EI 北大核心 2011年第2期200-204,共5页 Journal of PLA University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(40575001 40775002)
关键词 MODIS WR95算法 MM5模式 云垂直结构 CloudSat/CPR MODIS WR95 algorithm MM5 model cloud vertical structure CloudSat/CPR
  • 相关文献

参考文献10

  • 1PRADELLE P, VIBERG M. Radioactive and microphysical interactions between marine stratocumulus clouds and Saharan dust 1[J]. Remote Sensing Observations, 2002,19 (3): 4403-4412.
  • 2马占山,刘奇俊,秦琰琰,谌芸.云探测卫星CloudSat[J].气象,2008,34(8):104-111. 被引量:39
  • 3WANG J, ROSSOW W B, ZHANG Y. Cloud vertical structure and its variations from a 20-yr global rawinsonde dataset [J]. Journal of Climate, 2000, 13 (2) : 3041-3056.
  • 4WANG J, COLE H L. Corrections of humidity measurement errors from the vaisala RS80-A radiosonde application to TOGA-COARE data[J]. Atmosphere Oceanic Technology, 2002,38(7) : 1132-1143.
  • 5SUZANNE W. Modis atmospheric profile retrieval algorithm theoretical basis document[R]. Madison: Cooperative Institute for Meteorological Satellite Studies University of Wisconsin, 2002.
  • 6POORE K, WANG J. Cloud layer thicknesses from a combination of surface and upper-air observations[J]. Climate, 1995,34(8) : 550-568.
  • 7杨汉乐 严卫 周兴旺.CloudSat卫星及其数据产品应用.气象水文装备,2007,18(4):28-34.
  • 8WYLIE D P, MENZEL W P. Two years of cloud cover statistics using VAS[J].Journal of Climate Application, 1989,46 (2) : 380-392.
  • 9林琳,黄思训,杜华栋.MODIS数据的云顶高度反演[J].地球信息科学,2006,8(2):106-109. 被引量:12
  • 10ZENG Jian. Remote sensing of cloud properties[D]. Huntsville :The University of Alabama, 2005.

二级参考文献17

  • 1杨文霞,牛生杰,魏俊国,孙玉稳.河北省层状云降水系统微物理结构的飞机观测研究[J].高原气象,2005,24(1):84-90. 被引量:67
  • 2程也.从太空用雷达探测云:气象与气候研究的里程碑[J].气象科技,2006,34(4):497-497. 被引量:1
  • 3刘朝顺,吕达仁,杜秉玉.地基遥感大气水汽总量和云液态水总量的研究[J].南京气象学院学报,2006,29(5):606-612. 被引量:26
  • 4汤琦,毛节泰,李成才.利用MODIS资料对中国西部地区的云检测[J].高原气象,2006,25(6):990-1000. 被引量:17
  • 5廖国男著.周诗健译.大气辐射导论.北京:气象出版社,1985:250-254.
  • 6Richard A Frey, Bryan A Baum, W Paul Menzel, Steven A Ackerman, Christopher C Moeller, James D Spinhirne.A comparison of cloud top heights computed from airborne lidar and MAS radiance data using slicing, Journal of Geophysical Research, 1999,104, 547-555.
  • 7Platnick S, M D King, S A Ackerman, W P Menzel, B A Baum, J C Riedi, R A Frey. The MODIS cloud products:Algorithms and examples from Terra. IEEE Trans. Geosci.Remote Sens., 2003, 41: 459-473.
  • 8M D King, W P Menzel, Y J Kaufman, D tanre, B-C Gao,S Platnick, S A Ackerman, L A Remer, R Pincus, P A Hubanks. Cloud and aerosol and properties, pre-cipitable water, and profile of temperature and water vapor from MODIS. IEEE Trans. Geosci. Remote Sens,2003, 41:442-458.
  • 9W P Menzel, W L Smith, T R Stewart. Improved cloud motionwind vector and altitude assignment using VAS. J.Appl. Meteorol, 1983, 22: 377-384.
  • 10D P Wylie, W P Menzel. Eight years of high cloud statistics using HIRS. J. Climate, 1999,12: 170-184.

共引文献48

同被引文献8

引证文献1

二级引证文献8

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