Applications of QC and Merged Doppler Spectral Density Data from Ka-Band Cloud Radar to Microphysics Retrieval and Comparison with Airplane in Situ Observation

被引:12
|
作者
Liu, Liping [1 ]
Ding, Han [1 ]
Dong, Xiaobo [2 ]
Cao, Junwu [3 ]
Su, Tao [3 ]
机构
[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100086, Peoples R China
[2] Hebei Weather Modificat Ctr, Shijiazhuang 610225, Hebei, Peoples R China
[3] Anhui Sun Create Elect Ltd Co, Hefei 81660085, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Doppler spectral density; attenuation correction; DSD and air vertical speed retrieval; VERTICAL AIR MOTIONS; SIZE DISTRIBUTIONS; RAIN; MIE;
D O I
10.3390/rs11131595
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The new Chinese Ka-band solid-state transmitter cloud radar (CR) uses four operational modes with different pulse widths and coherent integration and non-coherent integration numbers to meet long-term cloud measurement requirements. The CR and an instrument-equipped aircraft were used to observe clouds and precipitation on the east side of Taihang Mountain in Hebei Province in 2018. To resolve the data quality problems caused by attenuation in the precipitation area; we focused on developing an algorithm for attenuation correction based on rain drop size distribution (DSD) retrieved from the merged Doppler spectral density data of the four operational modes following data quality control (QC). After dealiasing Doppler velocity and removal of range sidelobe artifacts; we merged the four types of Doppler spectral density data. Vertical air speed and DSD are retrieved from the merged Doppler spectral density data. Finally, we conducted attenuation correction of Doppler spectral density data and recalculated Doppler moments such as reflectivity; radial velocity; and spectral width. We evaluated the consistencies of reflectivity spectra from the four operational modes and DSD retrieval performance using airborne in situ observation. We drew three conclusions: First, the four operational modes observed similar reflectivity and velocity for clouds and low-velocity solid hydrometeors; however; three times of coherent integration underestimated Doppler reflectivity spectra for velocities greater than 2 m s(-1). Reflectivity spectra were also underestimated for low signal-to-noise ratios in the low-sensitivity operational mode. Second, QC successfully dealiased Doppler velocity and removed range sidelobe artifacts; and merging of the reflectivity spectra mitigated the effects of coherent integration and pulse compression on radar data. Lastly, the CR observed similar DSD and liquid water content vertical profiles to airborne in situ observations. Comparing CR and aircraft data yielded uncertainty due to differences in observation space and temporal and spatial resolutions of the data.
引用
收藏
页数:18
相关论文
共 8 条
  • [1] Algorithms for Doppler Spectral Density Data Quality Control and Merging for the Ka-Band Solid-State Transmitter Cloud Radar
    Liu, Liping
    Zheng, Jiafeng
    REMOTE SENSING, 2019, 11 (02)
  • [2] Preliminary Analysis of Data Quality and Cloud Statistics from Ka-Band Cloud Radar
    Ye, Bo-Young
    Lee, GyuWon
    Kwon, Soohyun
    Lee, Ho-Woo
    Ha, Jong-Chul
    Kim, Yeon-Hee
    ATMOSPHERE-KOREA, 2015, 25 (01): : 19 - 30
  • [3] Comparing and Merging Observation Data from Ka-Band Cloud Radar, C-Band Frequency-Modulated Continuous Wave Radar and Ceilometer Systems
    Liu, Liping
    Ruan, Zheng
    Zheng, Jiafeng
    Gao, Wenhua
    REMOTE SENSING, 2017, 9 (12):
  • [4] Slope Variance Retrieval from the Doppler Spectrum Measured by Ka-band Radar at Near Nadir Incidence Angles
    Panfilova, Maria
    Ryabkova, Maria
    Karaev, Vladimir
    OCEANS 2019 - MARSEILLE, 2019,
  • [5] X-Band Polarimetric and Ka-Band Doppler Spectral Radar Observations of a Graupel-Producing Arctic Mixed-Phase Cloud
    Oue, Mariko
    Kumjian, Matthew R.
    Lu, Yinghui
    Jiang, Zhiyuan
    Clothiaux, Eugene E.
    Verlinde, Johannes
    Aydin, Kultegin
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2015, 54 (06) : 1335 - 1351
  • [6] Comparison of the cloud top heights retrieved from MODIS and AHI satellite data with ground-based Ka-band radar
    Huo, Juan
    Lu, Daren
    Duan, Shu
    Bi, Yongheng
    Liu, Bo
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (01) : 1 - 11
  • [7] Analysis of snowfall's microphysical process from Doppler spectrum using Ka-band millimeter-wave cloud radar
    Li Yu-Lian
    Sun Xue-Jin
    Zhao Shi-Jun
    Ji Wen-Ming
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2019, 38 (02) : 245 - 253
  • [8] Transition Process from Non-Precipitating Cumuli to Precipitating Convective Clouds over Mountains: Observation by Ka-band Doppler Radar and Stereo Photogrammetry
    Misumi, Ryohei
    Sakurai, Namiko
    Maesaka, Takeshi
    Suzuki, Shin-ichi
    Shimizu, Shingo
    Iwanami, Koyuru
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2018, 96A : 51 - 66