The WSR-88D Inanimate Hydrometeor Class

被引:5
|
作者
Kurdzo, James M. [1 ]
Bennett, Betty J. [1 ]
Smalley, David J. [1 ]
Donovan, Michael F. [1 ]
机构
[1] MIT, Lincoln Lab, 244 Wood St, Lexington, MA 02173 USA
关键词
POLARIMETRIC RADAR CHARACTERISTICS; CLASSIFICATION ALGORITHM; POLARIZATION EXPERIMENT; VALIDATION;
D O I
10.1175/JAMC-D-19-0271.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The dual-polarization upgrade to the WSR-88D network of weather radars included the addition of a hydrometeor classification algorithm (HCA) to the Open Radar Product Generator (ORPG). The HCA product categorizes each Level-III radar range-azimuth cell into one of 10 classifications or marks it as "unknown.'' However, not all target types fall under the 10 classification options. For this reason, multiple studies have examined adding new classes to the operational HCA. In this study, a new "inanimate'' class is developed for additional hydrometeor classification in the ORPG and is described in detail. This class encompasses nonweather phenomena such as chaff (the primary motivation of this work), sea clutter, and some types of combustion debris and radio frequency interference. The design process is detailed, including human truthing, data selection, and optimization with a genetic algorithm. Multiple case examples are presented and analyzed, both qualitatively and quantitatively. Quantification is put into perspective with previous studies for a better understanding of the algorithm's performance and impact. A discussion of applications, including subclassing, chaff detection, and implementation as an "aviation'' classification algorithm in the ORPG, is presented.
引用
收藏
页码:841 / 858
页数:18
相关论文
共 50 条
  • [21] Improving WSR-88D hourly rainfall estimates
    Pereira, AJ
    Crawford, KC
    Hartzell, CL
    WEATHER AND FORECASTING, 1998, 13 (04) : 1016 - 1028
  • [22] Mitigation of range/velocity ambiguities in the WSR-88D
    Zrnic, DS
    Sachidananda, M
    Doviak, RJ
    Keeler, J
    Frush, C
    16TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY AND HYDROLOGY, 2000, : 403 - 405
  • [23] Mapping Bragg Scatter with a Polarimetric WSR-88D
    Melnikov, Valery M.
    Doviak, Richard J.
    Zrnic, Dusan S.
    Stensrud, David. J.
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2011, 28 (10) : 1273 - 1285
  • [24] THE WSR-88D SEVERE WEATHER POTENTIAL ALGORITHM
    KITZMILLER, DH
    MCGOVERN, WE
    SAFFLE, RE
    WEATHER AND FORECASTING, 1995, 10 (01) : 141 - 159
  • [25] Reusable applications software components for the WSR-88D
    Istok, MJ
    16TH INTERNATIONAL CONFERENCE ON INTERACTIVE INFORMATION AND PROCESSING SYSTEMS (IIPS) FOR METEOROLOGY, OCEANOGRAPHY AND HYDROLOGY, 2000, : 389 - 390
  • [26] An enhanced hail detection algorithm for the WSR-88D
    Witt, A
    Eilts, MD
    Stumpf, GJ
    Johnson, JT
    Mitchell, ED
    Thomas, KW
    WEATHER AND FORECASTING, 1998, 13 (02) : 286 - 303
  • [27] Prospects of the WSR-88D Radar for Cloud Studies
    Melnikov, Valery M.
    Zrnic, Dusan S.
    Doviak, Richard J.
    Chilson, Phillip B.
    Mechem, David B.
    Kogan, Yefim L.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2011, 50 (04) : 859 - 872
  • [28] WSR-88D Radar Data Processing at NCEP
    Liu, Shun
    DiMego, Geoff
    Guan, Shucai
    Kumar, V. Krishna
    Keyser, Dennis
    Xu, Qin
    Nai, Kang
    Zhang, Pengfei
    Liu, Liping
    Zhang, Jian
    Howard, Kenneth
    Ator, Jeff
    WEATHER AND FORECASTING, 2016, 31 (06) : 2047 - 2055
  • [29] The AP clutter mitigation scheme for the WSR-88D
    Kessinger, C
    Ellis, S
    Van Andel, J
    Yee, J
    31ST CONFERENCE ON RADAR METEOROLOGY, VOLS 1 AND 2, 2003, : 526 - 529
  • [30] Technique for improving WSR-88D detection of tornadoes
    Brown, RA
    Wood, VT
    19TH CONFERENCE ON SEVERE LOCAL STORMS, 1998, : 721 - 724