National Center for Atmospheric Research
ATD... Determination of Bias in Zdr

S-Pol MAP Italy, 1999


Importance of Bias Determination

Differential Reflectivity (Zdr) is a residual of two large quantities of limited absolute accuracy. The accuracies of the larger quantitiies (the H and V polarized system-derived reflectivities) is a function of system calibration and signal statistics. If the H and V reflectivity calibrations are stable, there is likely to be a bias in Zdr due to the inaccuracies of those reflectivity calibrations; under such circumstances, it is possible to apply a bias correction to Zdr, even if there is a relatively large uncertainty in the calibration of the H and V subsystems.

Note that high accuracy in Zdr is desired when Zdr is applied to precipitation accumulation estimates. For precipitation estimates, a change of 0.3 dB in Zdr will result in a 17% change in estimated accumulation.

Since S-Pol is a research radar system, particular attention is given to ensuring the accuracy of all parameters. Every effort is made to minimize the error in Zdr, with the goal of obtaining accuracies of .2 dB, or better.

For MAP, analysis indicates that a bias correction must be applied to raw S-Pol Zdr values. This correction will be applied to all data prior to distribution.

Technique

To estimate Zdr bias, we require a well-characterized, non-biased, system-independent data set for analysis. Such a data set can be obtained from viewing rainfall at vertical incidence.

For purposes of Zdr bias estimation, there is no consistent axial asymmetry in raindrop shape when viewed from directly below. In the case of a strongly sheared environment, there might arguably be preferential orientation of a collection of hydrometeors. Fortunately, preferential orientation effects can be reliably removed by rotating the vertically pointing antenna in azimuth and averaging results over several rotations. It may also be surmised that snow crystals can serve for bias determination, however, experience with frozen hydrometeors shows somewhat greater variablility in results, and there was one particular problem during MAP that reduces the utility of frozen hydrometeors for bias determination.

Practical Considerations

During any S-Pol field project, radar operators and scientists must be aware of the high priority assigned to collecting appropriate vertical pointing data sets. A case is considered appropriate if it meets the following (subjective) criteria:

During data collection, the radar is operated in the following way:

Every attempt is made to process appropriate cases in a very consistent way. Vertical-pointing scans are transferred to a data processing system. A script is used to drive the SOLO analysis package, performing parameter thresholding and general data selection, through production of a histogram of Zdr values for qualifying data. The only operator interaction is in the definition of a broad boundary to time-window the data and to eliminate obvious artifacts.

Table 1 summarizes the automatic thresholding criteria applied to vertical pointing data.

TABLE 1. Vertical Pointing for Zdr Bias Determination: threshold criteria
Description Relation Reason
eliminate data when received power is too high DM > -45.0 dBm avoid regions of non-linear receiver response
eliminate data in regions of weak reflectivity DZ < ~0 dBZ
(flexible criteria)
avoid refractive index scattering or any other low-reflectivity oddities
eliminate bright band and regions of wet hydrometeors LDR > -13.0 dB Zdr can have a very wide distribution in these regions
avoid regions close to radar range < 1.2 km eliminates regions of TR tube recovery, and selects data in far-field, only
remove data above the atmosphere range > 14.0 km also eliminates inadvertant inclusion of test pulse

Analysis

For MAP, twenty-one separate events of vertical pointing were logged. Of these, about one-third were considered to be ultimately unsuitable. Within the 21 events, subsets were deliniated and processed separately. These subsets provide an indicator of the short-term consistency of the procedure and results. All events are listed in Table 2. Each independent event is separated by a horizontal line; within each event, any subsets are shown on their own line. For determination of gross conclusions, subsets are first combined to provide a single set of event values. Within the table, links are provided to either an image of the data (time section of received power, DM, and thresholded Zdr, TZDR), or the histogram produced in the analysis. Futhermore, events and their subsets have been subjected to multiple analysis in an attempt to separate the characteristics based on hydrometeor type (ice or liquid; upper or lower layer).

The Results Section follows Table 2.

TABLE 2. Determined values of Zdr Bias, by event.
Date UTC
Default
mean sdev #pts
Ice/Upper
mean sdev #pts
Liquid/Lower
mean sdev #pts
Zdr Test
Pulse,dBm
Comment
990904
1039
1042
0.12 0.37 40859
0.09 0.35 54194
0.07 0.36 28147
0.08 0.37 31465
0.25 0.14 3069
0.21 0.24 3878
unkwn  
990906
1215
      -.77 not usable
990913
0800
        not usable
990913
1310
        not usable
990916
0737
0740
0743
0746
0755
   
0.03 0.12 1782
0.02 0.14 5940
0.02 0.15 10738
-0.01 0.16 9130
-0.04 0.21 3834
-1.00 assume liquid
990917
2111
2114
2117
2120
-0.01 0.18 73582
0.00 0.19 105701
0.01 0.20 103268
0.01 0.21 96329
-0.04 0.15 44473
-0.03 0.18 50629
-0.02 0.20 44647
-0.02 0.21 30431
0.08 0.19 17648
0.05 0.19 28834
0.06 0.20 30631
0.06 0.20 32570
-.92  
990918
0719
0722
 
-0.01 0.29 37035
-0.01 0.28 25682
  -.92  
990925
1806
0.10 0.26 19751
0.05 0.30 9729
0.15 0.20 10250
-.90  
990930
0815
0819
0.19 0.12 3579
0.21 0.11 3983
    -.88  
991003
0135
0139
0143
0.18 0.28 21151
0.14 0.29 12330
0.18 0.21 27754
0.15 0.30 14494
     
0.13 0.23 16332
0.26 0.20 4601
     
0.28 0.16 9155
-.86 weak ice/liq distinction
991003
2104
2108
0.19 0.35 26358
0.21 0.33 11848
0.11 0.37 10194
0.11 0.35 4042
0.29 0.24 5225
0.27 0.22 6024
-.88 weak ice/liq distinction

Feedhorn changed out after ops of 991003
 
991013
1219
1223
1237
     
     
0.16 0.43 22119
0.01 0.48 18860
0.03 0.43 21237
0.08 0.35 6249
     
     
0.19 0.45 15957
-1.09
v little liq
v little liq
poor distinc.
991017
1120
1123
1136
0.19 0.27 5037
0.31 0.24 293
    14
   
-1.11
-0.96
-1.05
OK
very poor
not usable
991018
1448
1451
 
0.02 0.45 30707
0.02 0.45 32026
  -1.04
probably ice
probably ice
991020
1757
0.19 0.44 33570
0.16 0.43 27149
0.37 0.45 4081
-.83  
991020
1854
1857
0.27 0.40 16935
0.29 0.43 15219
0.21 0.41 10909
0.22 0.43 9134
0.39 0.24 2229
0.47 0.25 1768
-.83 liquid distribution is poor
991020
2055
0.20 0.44 30468
0.15 0.40 21515
0.36 0.27 2748
-.85  
991021
1656
0.19 0.43 36142
0.15 0.46 28100
0.32 0.19 6747
-.87  
991023
1209
0.48 0.25 271
    -.88 a poor case
991103
1010
1015
1020
1025
0.33 0.42 42369
0.33 0.42 39223
0.33 0.42 41039
0.32 0.41 38531
0.27 0.47 30038
0.27 0.46 27086
0.28 0.46 28309
0.27 0.44 26564
0.48 0.17 7628
0.48 0.18 7511
0.48 0.19 7931
0.45 0.25 10819
-.78  
991104
0801
0805
0.34 0.39 17717
0.35 0.39 17062
0.27 0.43 10978
0.25 0.43 9213
0.46 0.17 4791
0.48 0.25 6753
-0.77  

Results: Zdr Bias for MAP

Unfortunately, there were/are several problems in determining Zdr bias for MAP. All results are based upon analysis of raw, uncorrected S-Pol data.

Other items of note (complete supporting information is not provided):


Document Maintenance: Bob Rilling, / NCAR Atmospheric Technology Division
Created: 28-Feb-2000
Last Modified: 28-Feb-2000