Vol.29, NO.6, 2018
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Article Navigation >  Journal of Applied Meteorological Science  > 2018  >  29(6): 667-679
Liu Xiaoyang, Li Hao, He Ping, et al. Comparison on the precipitation measurement between GPM/DPR and CINRAD radars. J Appl Meteor Sci, 2018, 29(6): 667-679. DOI:  10.11898/1001-7313.20180603.
Citation: Liu Xiaoyang, Li Hao, He Ping, et al. Comparison on the precipitation measurement between GPM/DPR and CINRAD radars. J Appl Meteor Sci, 2018, 29(6): 667-679. DOI:  10.11898/1001-7313.20180603.
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Comparison on the Precipitation Measurement Between GPM/DPR and CINRAD Radars

DOI: 10.11898/1001-7313.20180603
  • 1.

    Department of Atmospheric and Oceanic Sciences, Peking University, Beijing 100871

  • 2.

    Meteorological Observation Center of CMA, Beijing 100081

  • 3.

    Jiangsu Institute of Meteorological Sciences, Nanjing 210008

  • Received Date: 2018-01-26
  • Rev Recd Date: 2018-08-16
  • Publish Date: 2018-11-30
    Abstract
  • It is necessary to find out the difference between space-borne and ground-based radar data for evaluating the possibility of combined use of them. 2 neighboring ground-based radars at Taizhou and Changzhou are first checked for data consistence in full resolution and then compared with the DPR radar respectively. Results from the precipitation case on 30 June 2015 show that 2 radars have 0.94 dB bias of mean reflectivity factor on the profile where distances to both radars are equal.To get high temporal and spatial resolution comparisons between DPR and CINRAD, the geometry-matching algorithm is used in vertical where 1-14 DPR range gates could be included in one sample pairs according to the distance to CINRAD radar site. The further away it's from the radar site, the more DPR gates can be included. The grid-matching algorithm is used in horizontal where total 5×5 grids in 1 km resolution are matched with one single DPR range gate. The DPR and CINRAD volume-averaged values are calculated for all such intersecting DPR range gates and 5×5 CINRAD grids. Statistic results on sample pairs show that the mean reflectivity factor biases of DPR radar are -1.2 dB and -1.6 dB for CINRAD Taizhou and Changzhou radars, respectively, and the mean rain rate converted from Z-R relationship are 0.10 mm·h-1 and 0.13 mm·h-1 lower than CINRAD radars', over the same area where the three radars scanned successively within 6 min. When the distance to CINRAD gets longer, the bias between DPR and CINRAD is larger near the top of echo. And the bias in the bright band area is 122 dB larger than the mean bias as well. But the bias has no obvious relevance with distance and height in the other area if beam filling is enough.Attenuation correction and echo coverage over sample cell are among important factors which affect comparison results. Though there is no suitable surface reference, the attenuation correction algorithm for DPR radar over land works and decreases 0.4 dB in mean bias between DPR and CINRAD Taizhou. The maximum correction is only 1.36 dB due to moderate intensity of radar reflectivity factor.The equivalent radar reflectivity factor must be modified for the application of comparing DPR radar to other wavelength radar when the equivalent radar reflectivity factor is greater than 37 dBZ. For the application of combined multi-wavelength (such as DPR and CINRAD), data quality control and clutter identification and elimination are all among direct acting factors.
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    References(26)

  • Fig. 1  CINRAD Changzhou echo on 30 Jun 2015

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    Fig. 2  Reflectivity factor of matched samples of CINRAD Taizhou and Changzhou on equal distance gates at different elevation angles

    (a)comparison of matched sample means(dots) of CINRAD Taizhou and Changzhou on equal distance gates at all different elevation angles, (b)marginal histogram of matched samples(dots) of CINRAD Taizhou and Changzhou on equal distance gates at three different elevation angles

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    Fig. 3  Reflectivity factor of matched samples of CINRAD Taizhou and Changzhou on equal distance gates at different range section

    (a)comparison of matched sample means(dots) of CINRAD Taizhou and Changzhou on equal distance gates at different range section, (b)marginal histogram of matched samples(dots) of CINRAD Taizhou and Changzhou on equal distance gates at three different range section

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    Fig. 4  Radar reflectivity factor Z profiles(a) and radar reflectivity factor difference profiles(b) of DPR and CINRAD

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    Fig. 5  Distribution of the number of sample pairs(DPR and CINRAD Changzhou) along range

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    Fig. 6  Distribution of Z difference between DPR and CINRAD Changzhou along range

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    Fig. 7  Distribution of Z difference between DPR and CINRAD Changzhou above 5000 m along range

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    Fig. 8  Z profiles of DPR before and after attenuation correction

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    Fig. 9  DPR echo profile cross track(left) and along track(right) over China(zero of the left x axis denotes satellite nadir, the number of the right x axis is latitude of satellite nadir)

    (a)the ray 11 of measured Z along track, (b)the ray 16 of measured Z along track, (c)the ray 16 of processed Z by quality control

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    Fig. 10  Mf vs rain rate at different temperature with μ=0(a) and μ=2(b)

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    Fig. 11  Mf vs equivalent reflectivity factor ZeKu

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    Table  1  Comparison of reflectivity factor and rain rate between DPR and CINRAD

    雷达名称 平均覆盖率/% 平均距离/km Z平均值/dBZ Z最大值/dBZ 平均降水强度/(mm·h-1)
    DPRCZ 94 46.1 23.6 35.5 0.97
    常州 82 46.1 24.8 35.5 1.07
    DPRTZ 91 54.7 23.5 34.1 0.95
    泰州 82 54.7 25.1 39.1 1.08
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    • Received : 2018-01-26
    • Accepted : 2018-08-16
    • Published : 2018-11-30
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