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Detection of NearSurface RainSnow Boundaries with a Polarimetric Radar

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Title: Detection of NearSurface RainSnow Boundaries with a Polarimetric Radar


1
  • Detection of Near-Surface Rain-Snow Boundaries
    with a Polarimetric Radar
  • by
  • Aldo Bellon and Isztar Zawadzki

2
  • There is considerable overlap in the polarimetric
    characteristics of rain and of
  • snow in (Z-Zdr) and (Z-?hv) planes.
  • A pixel-by-pixel identification is therefore not
    possible.
  • The polarimetric characteristics of the melting
    layer, whether horizontally
  • stratified as in a regular bright band or
    vertically elongated across a
  • synoptic front, are distinct from stratiform rain
    and from snow.
  • (Lower ?hv and higher Zdr than in rain and snow)
  • Therefore, rain-snow delineation is contingent
    upon the reliable identification
  • of the melting layer (Ryshkov et al. 2005).
  • - Unlike a regular BB, frontal rain-snow
    boundaries are advected across
  • the radar coverage. A 3-D examination (vertical
    profiles) should
  • distinguish the rain from the snow region.

3
X-band Vertically Pointing Radar (Collocated with
the scanning radar)
4
UHF PROFILER (30 km east of the scanning radar)
5
Reflectivity VPR (30 to 50 km) from scanning
radar superimposed with VAD winds
630
530
830
1030
930
730
850
810
730
830
750
430 to 1030
710 to 910
6
809 Z 14-Jan-05
0.7 Refl PPI
0.7 Zdr PPI
0.7 Pid PPI
0.7 RHOhv PPI
7
809 Z 14-Jan-05
Refl
Zdr
Pid
RHOhv
8
818 Z 14-Jan-05
Refl
Zdr
RHOhv
Pid
9
Melting Index (MIX) Function (Zdr, ?hv)
Thresholds for identifying wet-snow pixels
Zdr thresh gt (0.7 to 1.0 db) ?hv thresh lt
(0.90 to 0.95)
Limits Zdr up (2.0 to 3.0) db ?hv low
(0.60 to 0.80)
Zdr range (Zdr up - Zdr thresh) ?hv range
( ?hv thresh ?hv low)
Zdr (contr) (Zdr-Zdr low)/Zdr range(1/p)
?hv (contr) (?hv up -?hv)/?hv range(1/p)
MIX100.0Zdr(contr) ?hv(contr) If measured
Zdr and ?hv are each half way their range,
then MIX25, 50, 63 and 71 for p1, 2, 3 and 4
respectively
10
0.7 Zdr PPI
0.7 Refl PPI
0.7 Mix PPI
0.7 ?hv PPI
11
Zdr RHOhv 0.5 km CAPPIs 0809 Z
12
Zdr RHOhv 0.8 km CAPPIs 0809 Z
13
Zdr RHOhv 1.1 km CAPPIs 0809 Z
14
Zdr RHOhv 1.5 km CAPPIs 0809 Z
15
Zdr RHOhv 2.0 km CAPPIs 0809 Z
16
Zdr RHOhv 2.5 km CAPPIs 0809 Z
17
Zdr RHOhv 3.0 km CAPPIs 0809 Z
18
Zdr RHOhv 3.5 km CAPPIs 0809 Z
19
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35
Rain-Snow Boundary Map Indicator
36
Local VPRs (20 km by 20 deg) every 10 km in
range (Within 60 km, azimuth spacing depends on
range)
37
BB aloft
BB at ground
Zoom of LVPR map
38
Rain and Snow Region Identification from
Reflectivity LVPRs
Rain Detection of a BB signature Reflectivity
peak above the lowest trusted layer followed by
a significant drop both in the snow above and
in the rain below it (Peak and drop
user-selectable and range and intensity
adjusted) Snow a) Reflectivity peak in lowest
(or two lowest) layer (or just above a ground
echo, but lt 1 km) with no BB signature from LVPRs
or from polarimetry. But very strong gradient
declares low BB OR b) Gradient in the
lowest layer must exceed at least 1 or 2 dBZ/km.
(discards constant profiles associated with
rain). Detection of a significant ive
gradient nullifies (a)
39
Rain-Snow Boundary Map Indicator
40
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Rain-Snow Map Indicator
45
Rain-Snow Map Indicator
46
Rain-Snow Map Indicator
47
Rain-Snow Map Indicator
48
Rain-Snow Map Indicator
49
Rain-Snow Map Indicator
50
Rain-Snow Map Indicator
51
Rain-Snow Map Indicator
52
Rain-Snow Map Indicator
53
BB Bottom
BB Top
BB Thickness
BB characteristics from 3-D polarization
measurements
54
BB Thickness
BB Bottom
704 Z
55
BB Thickness
BB Bottom
724 Z
56
BB Thickness
BB Bottom
744 Z
57
BB Thickness
BB Bottom
804 Z
58
BB Thickness
BB Bottom
824 Z
59
BB Thickness
BB Bottom
844 Z
60
BB Thickness
BB Bottom
904 Z
61
BB Thickness
BB Bottom
924 Z
62
BB Thickness
BB Bottom
944 Z
63
Zdr LVPR
RHOhv LVPR
704 Z
64
Zdr LVPR
RHOhv LVPR
754 Z
65
Zdr LVPR
RHOhv LVPR
844 Z
66
Zdr LVPR
RHOhv LVPR
929 Z
67
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68
Rain-Snow Map Indicator
69
Rain-Snow Map Indicator
70
Rain-Snow Map Indicator
71
Rain-Snow Map Indicator
72
Rain-Snow Map Indicator
73
Rain-Snow Map Indicator
74
Rain-Snow Map Indicator
75
Rain-Snow Map Indicator
76
Rain-Snow Map Indicator
77
Rain-Snow Map Indicator
78
Rain-Snow Map Indicator
79
Rain-Snow Map Indicator
80
Rain-Snow Map Indicator
81
Rain-Snow Map Indicator
82
Rain-Snow Map Indicator
83
Rain-Snow Map Indicator
84
Rain-Snow Map Indicator
85
Rain-Snow Map Indicator
86
Rain-Snow Map Indicator
87
Rain-Snow Map Indicator
88
Rain-Snow Map Indicator
89
Rain-Snow Map Indicator
90
Rain-Snow Map Indicator
91
UHF DATA for 23-DEC-2004 NOT AVAILABLE
92
Rain-Snow Map Indicator
93
Rain-Snow Map Indicator
94
Rain-Snow Map Indicator
95
Rain-Snow Map Indicator
96
Rain-Snow Map Indicator
97
Rain-Snow Map Indicator
98
Rain-Snow Map Indicator
99
Rain-Snow Map Indicator
100
Rain-Snow Map Indicator
101
Rain-Snow Map Indicator
102
Rain-Snow Map Indicator
103
1830
1630
2230
2030
104
Rain-Snow Map Indicator
105
Rain-Snow Map Indicator
106
Rain-Snow Map Indicator
107
Rain-Snow Map Indicator
108
Rain-Snow Map Indicator
109
Rain-Snow Map Indicator
110
Rain-Snow Map Indicator
111
Rain-Snow Map Indicator
112
Rain-Snow Map Indicator
113
Rain-Snow Map Indicator
114
Rain-Snow Map Indicator
115
Rain-Snow Map Indicator
116
Rain-Snow Map Indicator
117
Rain-Snow Map Indicator
118
Rain-Snow Map Indicator
119
CONCLUSIONS
  • Near-surface rain-snow boundaries have been
    detected and seen to advect
  • over considerable distances ( gt 100 km) and/or
    over several hours.
  • The identification of the rain/snow regions can
    be made with moderate success
  • - the rain region is easier to confirm because
    of the presence of a BB
  • aloft (from polarimetry and/or LVPRs)
  • - the confirmation of a snow region from the
    reflectivity gradient
  • typically associated with snow profiles is
    more problematical.
  • - General trends are observed in the polarimetric
    variables before and after a
  • frontal passage (ie., in the rain and snow
    regions), but a more robust
  • and automatic distinction is limited by
    considerable overlap.
  • The numerous parameters for identification of a
    melting region from
  • polarimetry, or from reflectivity LVPRs, and of
    the snow region
  • from reflectivity gradients are to be optimized.
  • -Validation with surface observations/disdrometic
    data needs to be done.
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