科技报告详细信息
Assessment of Ku- and Ka-Band Dual-Frequency Radar for Retrieval of Snow Properties
Liao, Liang ; Meneghini, Robert ; Tokay, Ali ; Kim, Hyokyung
关键词: SNOW;    SCATTERING;    BACKSCATTERING;    PARTICLE SIZE DISTRIBUTION;    PARTICLE MASS;    DATA BASES;    DATA RETRIEVAL;    MULTISPECTRAL RADAR;    EXTREMELY HIGH FREQUENCIES;    SUPERHIGH FREQUENCIES;   
RP-ID  :  GSFC-E-DAA-TN75819
学科分类:大气科学
美国|英语
来源: NASA Technical Reports Server
PDF
【 摘 要 】

Current scattering look-up tables for snow assume a constant mass density along with a Gamma particle size distribution (PSD). The first assumption is tested against scattering parameters from simulated particle models generated by Dr. Kwo-Sen Kuo at GSFC and Dr. Guosheng Liu at FSU. Good agreement of the scattering parameters is found with the FSU results if the mass is taken to be the same as the mass of the simulated particle and the mass density is taken to be 0.2 g/cm cu. For the GSFC data base, good agreement is found if the mass density is taken to be between 0.1 and 0.2 g/cm cu. The second assumption of a Gamma PSD is tested against measured PSD's along with a m-d (mass-dimension) relationship. The degree of agreement depends on the value of, the 'shape' parameter in the Gamma distribution but to a lesser degree on the m-d relationship (of the three that were examined). A shortcoming of the simulated snow particle data bases is the lack of large particles. As a consequence, larger values of DFR (dual-frequency ratio) that are commonly seen in airborne and spaceborne measurements cannot be reproduced from the tables. This situation is expected to improve as scattering parameters from larger particles are included in the databases.

【 预 览 】
附件列表
Files Size Format View
20190033351.pdf 4798KB PDF download
  文献评价指标  
  下载次数:16次 浏览次数:18次