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SLR Global Performance Report Card

June 1, 2012 through May 31, 2013

The performance report card is divided into three tables for readability. Table 1 contains performance parameters based on data volume, on-site processing statistics and operational compliance issues. Table 1 L contains information about Lunar Laser Ranging during the past year. Table 2 contains performance parameters based on various Analysis Centers' rapid orbital analysis results.

Below are the detailed descriptions of each column in Table 1 plots of the columns are linked in this description and in Table 1:

  • Column 1 is the station location name.
  • Column 2 is the monument marker number.
  • Column 3 is the LEO pass total during the past 12 months.
  • Column 4 is the LAGEOS pass total during the past 12 months.
  • Column 5 is the high satellite pass total during the past 12 months.
  • Column 6 is the pass total (i.e., all satellites) during the past 12 months.
  • Column 7 is the LEO NP total during the past 12 months.
  • Column 8 is the LAGEOS NP total during the past 12 months.
  • Column 9 is the high satellite NP total during the past 12 months.
  • Column 10 is the NP total (i.e., all satellites) during the past 12 months.
  • Column 11 is the total tracking minutes (i.e., all satellites) during the past 12 months. This is computed by the summation of the number of normal points multiplied by its bin size in minutes.
  • Column 12 is the average single-shot calibration RMS, in millimeters, during the last quarter.
  • Column 13 is the average single-shot Starlette RMS, in millimeters, during the last quarter.
  • Column 14 is the average single-shot LAGEOS RMS, in millimeters, during the last quarter.

The first entry in each table is for the performance baseline goal. Note: There are no baseline goals for NP data quantities, single shot RMS's.

Additional Notes: Blanks in any columns implies either that there was no data or that there was insufficient data. Only stations that have supplied data within the last year are included in the table. The table is sorted in descending order by total passes.

Table 1

Site Information Data Volume Data Quality
Column 1 2 3 4 5 6 7 8 9 10 11 12 13 14
Location Station
Number
LEO pass
Tot
LAGEOS
pass Tot
High pass
Tot
Total
passes
LEO NP
Total
LAGEOS
NP Total
High NP
Total
Total
NP
Minutes of
Data
Cal.
RMS
Star
RMS
LAG
RMS
Baseline 1000 400 100 1500
Yarragadee 7090 7203 1532 4245 12980 119783 15835 19175 154793 112694 6.3 8.2 9.6
Zimmerwald_532 7810 3881 700 2418 6999 63137 10194 10293 83624 61995 4.5 8.6 11.4
Changchun 7237 3549 396 2225 6170 30312 2177 6976 39465 22338 8.1 11.2 14.6
Mount_Stromlo_2 7825 4472 829 549 5850 67774 7703 2660 78137 63561 4.0 7.1 9.3
Matera_MLRO 7941 3108 1065 1463 5636 39077 10774 7215 57066 56373 1.0 3.3 4.6
Wettzell 8834 2998 582 1249 4829 30262 4274 5363 39899 31383 7.3 11.3 13.6
Graz 7839 2433 384 1503 4320 44912 3284 10075 58271 35825 2.0 3.1 5.0
Greenbelt 7105 3032 459 432 3923 53850 4344 1959 60153 39958 4.2 9.1 10.0
San_Juan 7406 2267 642 926 3835 41429 7709 6306 55444 47020 5.9 12.3 8.0
Herstmonceux 7840 2033 426 951 3410 31482 5125 3595 40202 31379 5.1 14.3 13.2
Hartebeesthoek 7501 2251 580 433 3264 32877 5731 2368 40976 34729 5.8 10.7 17.2
Arequipa 7403 2799 365   3164 36877 2674   39551 29930 5.5 10.4 9.3
Monument_Peak 7110 2081 472 405 2958 36521 3777 1246 41544 29462 9.7 12.5 15.1
Potsdam_3 7841 1942 280 204 2426 33383 2952 1724 38059 25398 7.2 11.1 13.6
Katzively 1893 1477 174 215 1866 36806 2681 3094 42581 29614 29.8 43.1 31.1
Haleakala 7119 1396 436   1832 24199 4399   28598 26793      
San_Fernando 7824 1714 83 3 1800 21827 363 10 22200 12812 5.5 10.5 63.9
Grasse_MEO 7845 701 316 561 1578 24228 3822 2142 30192 20672 8.8 14.9 15.3
Concepcion_847 7405 944 304 81 1329 9939 3435 528 13902 17560 7.6 15.5 21.1
Shanghai_2 7821 710 102 502 1314 5365 459 1827 7651 4655 7.7 12.7 13.5
Simosato 7838 819 297 85 1201 15416 5281 605 21302 26903 4.1 6.5 13.8
Simeiz 1873 946 196 51 1193 11218 1407 314 12939 10756   30.9 33.0
Baikonur 1887 239 425 523 1187 2430 2894 2272 7596 11112   12.3 14.3
McDonald 7080 706 257 147 1110 6816 1906 554 9276 9914 8.2 11.7 11.6
Beijing 7249 595 80 147 822 57697 674 825 59196 23400 7.4 13.1 15.7
Altay 1879 168 112 486 766 2140 802 1535 4477 3908     7.8
Arkhyz 1886 355 128 276 759 3261 733 1280 5274 4481   14.5 20.2
Papeete 7124 399 117 220 736 6092 1013 957 8062 6744 7.0 7.4 8.4
Kiev 1824 525 71 32 628 4587 373 117 5077 3947 12.5 12.0 11.1
Koganei 7308 265 80 148 493 3437 615 839 4891 4048 10.2 13.3 16.0
Zelenchukskya 1889 115 78 291 484 1445 746 1065 3256 3255     19.4
Badary 1890 345 70 36 451 4595 659 236 5490 5064     22.2
Komsomolsk 1868 27 53 189 269 201 334 477 1012 1181     12.3
Riga 1884 232 5   237 3473 22   3495 2082 9.4 11.5  
Svetloe 1888 82 26 1 109 626 99 6 731 725     20.6

 

 


Below are the detailed descriptions of each column in Table 1 L:

  • the first column, L1, is the station location name.
  • the second column, L2, is the monument marker number.
  • the third column, L3, is the number of nights during the past 12 months in which there were Lunar ranging measurements
  • the fourth column, L4, is the number of Lunar Laser Ranging normal points during the past 12 months
  • the fifth column, L5, is the number of Lunar Laser Ranging normal points during the past 3 months
  • the sixth column, L6, is the average Lunar Laser Ranging normal points rms 3 months in mm

 

Table 1 L

Site Information
Data Information
Column L1 L2 L3 L4 L5 L6
Location Station
Number
num nights tracking
last 12 mon
num npt
last 12 mon
num npts
last 3 mon
ave npt rms
last 3 mon
Grasse_MEO 7845 6 32 32 34.7
Matera_MLRO 7941 16 31    
McDonald 7080 5 11    

 


 

Below are the detailed descriptions of each column in Table 2:

  • the first column is the station location name.
  • the second column is the monument marker number.
  • following columns are in grouped by analysis center with four columns for each
    • the first AC column is the average LAGEOS normal point RMS, in millimeters, during the last quarter
    • the second AC column is the measure of short term bias stability, in millimeters, during the last quarter. The short term stability is computed as the standard deviation about the mean of the pass-by-pass range biases (minimum number of passes in quarter is 10)
    • the third AC column is the measure of long term bias stability, in millimeters, during the past year. The long term stability is the standard deviation of the monthly range bias estimates. A station must have tracked LAGEOS (1,2) in at least 8 of the last 12 months in order to compute this metric.
    • the fourth AC column is the percentage of LAGEOS normal points that were accepted in the analysis.

The first entry in each table is for the performance baseline goal.

Additional Notes: Blanks in any columns implies either that there was no data or that there was insufficient data. Only stations that have supplied data within the last year are included in the table. The table is sorted in descending order by total data volume.

 

Table 2

Site Information DGFI Orbital Analysis Hitotsubashi Univ.
Orbital Analysis
JCET
Orbital Analysis
MCC Orbital Analysis SHAO Orbital Analysis
Station
Location
Station
Number
LAG
NP
RMS
(mm)
short
term
(mm)
long
term
(mm)
%
good
LAG.
NP
LAG
NP
RMS
(mm)
short
term
(mm)
long
term
(mm)
%
good
LAG.
NP
LAG
NP
RMS
(mm)
short
term
(mm)
long
term
(mm)
%
good
LAG.
NP
LAG
NP
RMS
(mm)
short
term
(mm)
long
term
(mm)
%
good
LAG.
NP
LAG
NP
RMS
(mm)
short
term
(mm)
long
term
(mm)
%
good
LAG.
NP
Baseline 10.0 20.0 10.0 95 10.0 20.0 10.0 95 10.0 20.0 10.0 95 10.0 20.0 10.0 95 10.0 20.0 10.0 95
Yarragadee 7090 3.5 16.2 3.5 100.0 1.9 6.8 2.9 100.0 2.7 14.0 4.4 99.8 2.3 16.5 2.9 98.7 1.8 11.3 2.3 92.2
Zimmerwald_532 7810 2.7 11.8 7.7 99.7 1.3 6.1 2.8 99.8 1.9 10.6 7.8 99.1 2.1 10.6 2.1 98.2 1.3 12.3 2.6 94.3
Changchun 7237 5.3 26.0 7.5 99.6 3.7 22.2 10.1 99.8 2.6 23.9 9.8 96.3 3.3 29.2 15.1 95.5 2.5 31.1 19.3 87.2
Mount_Stromlo_2 7825 4.5 15.4 3.8 100.0 3.5 8.5 1.8 100.0 3.2 13.9 3.5 98.7 4.0 14.2 4.2 94.7 2.9 11.3 4.0 94.1
Matera_MLRO 7941 2.7 11.6 6.4 100.0 1.5 6.5 3.8 100.0 2.2 12.8 5.6 99.9 2.1 12.9 3.4 99.5 2.3 30.7 3.1 98.1
Wettzell 8834 3.4 13.6 4.6 100.0 2.3 8.6 2.7 100.0 2.8 12.7 4.3 100.0 2.5 14.1 4.5 97.9 2.0 11.6 4.8 92.9
Graz 7839 2.3 11.8 4.5 100.0 1.0 4.7 1.6 100.0 1.3 11.8 4.0 93.7 1.8 9.7 3.2 96.6 0.9 9.9 2.4 95.8
Greenbelt 7105 3.7 15.0 4.2 99.9 1.8 10.1 2.0 99.8 2.7 10.8 3.1 99.6 2.4 15.6 5.9 98.1 1.5 9.4 3.3 91.8
San_Juan 7406 12.0 34.0 8.9 99.5 4.6 27.8 9.4 97.2 6.4 34.4 7.9 86.4 182.2 24.4 8.0 95.5 5.7 22.1 7.3 90.8
Herstmonceux 7840 3.0 10.2 3.3 100.0 1.7 5.5 1.1 100.0 1.9 10.6 3.2 100.0 2.6 8.8 2.1 98.3 1.3 10.5 2.8 96.0
Hartebeesthoek 7501 5.2 18.9 5.1 98.8 2.8 10.3 4.0 99.1 3.3 17.3 5.6 98.6 3.3 22.3 7.1 96.0 2.9 15.4 6.4 90.3
Arequipa 7403 4.9 25.4 11.5 99.8 2.6 22.8 20.3 99.6 3.5 22.7 20.5 99.6 3.0 20.0 6.5 97.8 1.4 18.0   89.8
Monument_Peak 7110 5.5 21.6 6.3 99.9 2.9 12.7 2.9 99.9 4.4 18.5 5.2 98.2 2.9 16.1 3.3 97.6 2.5 15.0 6.4 88.8
Potsdam_3 7841 4.0 10.5 5.5 99.8 2.1 7.7 3.1 99.9 3.1 12.0 5.3 99.4 2.5 10.5 3.0 96.6        
Katzively 1893 15.4 14.7 5.9 100.0 10.3 16.3 4.2 98.3 6.4 14.3 6.4 81.0 9.3 18.2 9.5 83.7 10.2 26.8 11.3 94.2
Haleakala 7119 6.0 23.6 5.7 99.4 3.2 8.4 3.3 99.4 3.9 10.4 3.5 98.2 3.7 30.9 10.8 97.6        
Grasse_MEO 7845 4.3 11.4 5.6 100.0 2.5 10.2 3.4 100.0 3.5 12.8 3.7 99.7 2.8 12.4 4.6 97.0 2.3 14.3 4.6 93.2
Concepcion_847 7405 9.9 63.1 9.1 100.0 2.0 56.1 11.4 100.0         2.0 44.2 14.9 100.0        
Shanghai_2 7821 4.0 32.4 18.3 98.7 3.8 36.6 14.0 100.0 3.3 39.3 19.4 95.0 5.3 26.0 23.7 100.0 1.9 19.5 20.2 82.2
Simosato 7838 6.8 26.1 4.7 100.0 3.5 14.7 3.6 99.8 5.1 18.6 5.2 97.8 5.2 14.1 5.2 98.5 4.3 14.2 5.3 90.9
Simeiz 1873         58.5 57.9 23.6 97.3         32.7 53.9 32.6 78.9 32.7 34.1   69.3
Baikonur 1887 12.2 24.5 20.8 99.2 8.6 26.5   99.5 6.5 28.7 16.1 83.6 8.3 21.3 14.6 90.7        
McDonald 7080 5.0 16.3 4.4 100.0 3.3 13.0 6.1 100.0 4.3 14.2 3.4 99.8 3.2 20.3 3.1 95.2 2.2 12.8 6.6 94.4
Beijing 7249 7.8 15.1 14.8 100.0         4.7 13.4 15.3 99.1 8.0 28.4 16.1 95.1        
Altay 1879 20.7 48.1 24.3 99.4                 4.8 17.7 12.5 97.0        
Arkhyz 1886 9.8 28.2 20.6 100.0 7.5 32.2 11.8 100.0 6.5 26.2 8.9 91.4 7.0 35.7 21.6 88.9        
Papeete 7124 4.2 20.3 8.9 100.0 2.3 6.9 2.9 100.0 3.4 11.6 3.3 99.4 2.6 13.4 6.1 99.6 6.8 11.6 29.0 95.0
Kiev 1824 20.9 39.9 30.9 88.9 14.6 38.0 32.3 92.6 5.1 25.3 18.8 58.9 18.0 35.0 35.2 86.8        
Koganei 7308                         4.8 17.6 30.1 98.9        
Zelenchukskya 1889 7.0 16.3   100.0 5.1 9.7   100.0         5.0 18.6 8.6 100.0        
Badary 1890 11.9 18.9   100.0 7.9 17.6   99.3                        
Komsomolsk 1868 10.1 41.8 51.2 96.0 6.7 46.6 25.7 100.0         7.3 29.6 14.4 97.7        
Riga 1884 16.1 49.2   98.1 14.5 51.3   94.2 6.9 55.3   62.7                
Svetloe 1888 7.1 8.8   100.0 5.6 13.2   100.0