Considerations for Oversampling in Azimuth on the Phased Array Weather Radar

被引:4
|
作者
Borowska, Lesya [1 ]
Zhang, Guifu [1 ,2 ,3 ]
Zrnic, Dusan S. [4 ]
机构
[1] Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73072 USA
[2] Univ Oklahoma, Sch Meteorol, Norman, OK 73072 USA
[3] Univ Oklahoma, Sch Elect & Comp Engn, Norman, OK 73072 USA
[4] Natl Severe Storms Lab, Norman, OK 73069 USA
关键词
WSR-88D;
D O I
10.1175/JTECH-D-15-0018.1
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
When spectral moments in the azimuth are spaced by less than a beamwidth, it is called oversampling. Superresolution is a type of oversampling that refers to sampling at half a beamwidth on the national network of Doppler weather radars [Weather Surveillance Radar-1988 Doppler (WSR-88D)]. Such close spacing is desirable because it extends the range at which small severe weather features, such as tornadoes or microbursts, can be resolved. This study examines oversampling for phased array radars. The goal of the study is to preserve the same effective beamwidth as on the WSR-88D while obtaining smaller spectral moment estimate errors at the same or faster volume update times. To that effect, a weighted average of autocorrelations of radar signals from three consecutive radials is proposed. Errors in three spectral moments obtained from these autocorrelations are evaluated theoretically. Methodologies on how to choose weights that preserve the desirable effective beamwidth are presented. The results are demonstrated on the fields of spectral moments obtained with the National Weather Radar Testbed (NWRT), a phased array weather radar at NOAA's National Severe Storms Laboratory (NSSL).
引用
收藏
页码:1614 / 1629
页数:16
相关论文
共 50 条
  • [41] A Neural-Network-Based Beamformer for Phased Array Weather Radar
    Sallam, Tarek
    Abdel-Rahman, Adel B.
    Alghoniemy, Masoud
    Kawasaki, Zen
    Ushio, Tomoo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (09): : 5095 - 5104
  • [42] Phased array weather radar for heavy precipitation measurements with high resolution
    Ushio T.
    IEEJ Transactions on Power and Energy, 2020, 140 (10) : 705 - 708
  • [43] Weather radar equation correction for frequency agile and phased array radars
    Knorr, Jeffrey B.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (03) : 1220 - 1227
  • [44] Cylindrical Polarimetric Phased Array Radar: Beamforming and Calibration for Weather Applications
    Fulton, Caleb
    Salazar, Jorge L.
    Zhang, Yan
    Zhang, Guifu
    Kelly, Redmond
    Meier, John
    McCord, Matt
    Schmidt, Damon
    Byrd, Andrew D.
    Bhowmik, Lal Mohan
    Karimkashi, Shaya
    Zrnic, Dusan S.
    Doviak, Richard J.
    Zahrai, Allen
    Yeary, Mark
    Palmer, Robert D.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (05): : 2827 - 2841
  • [45] Phase and Amplitude Correction for Adaptive Beamforming of Phased Array Weather Radar
    Wada, Yuuki
    Kikuchi, Hiroshi
    Yoshikawa, Eiichi
    Kitahara, Daichi
    Ushio, Tomoo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [46] Front-X Phased Array Weather Radar test bed
    George, J.
    Chandrasekar, V.
    2016 IEEE INTERNATIONAL SYMPOSIUM ON PHASED ARRAY SYSTEMS AND TECHNOLOGY (PAST), 2016,
  • [47] Adaptive Nullforming to Mitigate Ground Clutter on the National Weather Radar Testbed Phased Array Radar
    Curtis, Christopher D.
    Yeary, Mark
    Lake, John L.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (03): : 1282 - 1291
  • [48] Compressive Sensing to Reduce the Number of Elements in a Linear Antenna Array With a Phased Array Weather Radar
    Kikuchi, Hiroshi
    Hobara, Yasuhide
    Ushio, Tomoo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [49] MMSE Beam Forming on Fast-Scanning Phased Array Weather Radar
    Yoshikawa, Eiichi
    Ushio, Tomoo
    Kawasaki, Zen
    Yoshida, Satoru
    Morimoto, Takeshi
    Mizutani, Fumihiko
    Wada, Masakazu
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (05): : 3077 - 3088
  • [50] Phased Array Radar Polarimetry for Weather Sensing: A Theoretical Formulation for Bias Corrections
    Zhang, Guifu
    Doviak, Richard J.
    Zrnic, Dusan S.
    Crain, Jerry
    Staiman, David
    Al-Rashid, Yasser
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (11): : 3679 - 3689