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SLR Global Performance Report Card

July 1, 2012 through June 30, 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 11615 1938 4925 18478 192536 24522 28885 245943 254708 6.0 8.2 9.6
Changchun 7237 6590 831 4156 11577 54017 4425 11947 70389 85515 8.2 11.7 15.0
Mount_Stromlo_2 7825 6698 1196 782 8676 94009 9982 4070 108061 72447 4.1 7.2 9.7
Zimmerwald_532 7810 4609 891 2971 8471 72705 12062 12173 96940 107109 4.5 8.6 11.2
Wettzell 8834 4207 786 2344 7337 41551 5413 8464 55428 67614 7.1 11.0 13.6
Matera_MLRO 7941 4328 1181 1309 6818 53561 13676 8917 76154 90583 1.0 3.3 4.6
Graz 7839 3521 545 2400 6466 63519 4487 14944 82950 104470 2.0 3.5 5.0
Greenbelt 7105 4625 673 478 5776 83365 7657 2888 93910 54661 4.7 8.9 10.4
Herstmonceux 7840 2877 637 1484 4998 42803 6960 5306 55069 53518 5.3 9.3 9.4
San_Juan 7406 2690 714 1137 4541 43416 8190 7291 58897 67952 5.9 11.9 7.9
Monument_Peak 7110 3210 566 460 4236 58241 6042 2186 66469 40597 9.9 13.5 15.3
Hartebeesthoek 7501 2853 648 353 3854 43209 7284 3147 53640 44196 5.8 10.7 16.3
Potsdam_3 7841 2910 429 295 3634 50181 4611 2403 57195 36166 7.3 10.7 13.3
Arequipa 7403 2840 333   3173 36057 2531   38588 17610 5.4 11.0 9.7
Grasse_MEO 7845 1109 517 914 2540 38362 6015 3802 48179 40947 8.9 14.8 15.5
Concepcion_847 7405 1356 402 74 1832 13619 3815 466 17900 15426 7.2 15.6 20.3
San_Fernando 7824 2357 95 3 2455 30064 392 8 30464 10421 5.8 12.9 63.9
Haleakala 7119 1912 480   2392 32564 5933   38497 22677 5.2 9.2 13.8
Katzively 1893 1651 212 194 2057 39690 3150 2696 45536 33500 29.6 47.8 30.9
Shanghai_2 7821 1027 186 805 2018 7842 764 2823 11429 18347 7.4 13.4 13.7
Simosato 7838 1292 469 124 1885 23999 8165 884 33048 30112 4.1 6.4 12.9
McDonald 7080 1178 410 232 1820 11626 3519 849 15994 15357 8.1 11.4 12.2
Simeiz 1873 1125 231 37 1393 13908 1719 244 15871 9408   17.1 26.0
Kiev 1824 1035 174 83 1292 8961 848 279 10088 6102 12.9 12.0 12.6
Baikonur 1887 280 414 512 1206 2828 4025 2702 9555 22974   15.4 16.2
Altay 1879 243 156 773 1172 3250 1128 3491 7869 20940   7.2 13.5
Beijing 7249 834 109 193 1136 10760 809 1085 12654 10637 6.9 11.8 16.1
Arkhyz 1886 461 155 392 1008 4518 1022 1845 7385 12959   13.7 19.9
Papeete 7124 565 126 199 890 9172 1378 1306 11856 12440 6.7 7.4 8.2
Badary 1890 660 114 49 823 8274 1010 328 9612 6248   17.4 17.1
Komsomolsk 1868 51 89 501 641 339 524 1655 2518 9479   4.7 16.1
Zelenchukskya 1889 143 113 379 635 1989 1097 1671 4757 11196   15.4 20.4
Koganei 7308 290 93 139 522 3843 708 878 5429 7218 10.8 13.3 16.0
Riga 1884 475 15   490 7508 74   7582 2523 10.1 12.5 11.1
Svetloe 1888 153 64 22 239 1488 495 102 2085 2027   25.0 18.4

 

 


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 104 406 51 33.1
Matera_MLRO 7941 19 47    
McDonald 7080 7 14    

 


 

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 3.6 17.3 3.5 100.0 2.0 7.2 2.4 100.0 2.9 12.1 3.9 99.9 2.4 17.5 2.7 98.8 1.8 12.5 2.7 92.4
Changchun 7237 6.2 28.8 8.3 99.3 4.3 23.7 8.4 99.8 2.8 25.4 8.7 94.8 3.6 30.4 14.1 93.1 1.6 33.3 9.2 78.4
Mount_Stromlo_2 7825 4.3 15.3 3.9 100.0 3.4 8.5 1.9 100.0 3.0 13.2 3.5 98.7 3.9 13.0 4.2 95.5 2.8 13.2 3.0 94.8
Zimmerwald_532 7810 2.5 11.1 7.7 99.6 1.2 6.1 2.8 99.8 1.9 10.6 7.7 99.3 1.9 10.7 3.4 97.6 1.4 10.9 3.0 95.0
Wettzell 8834 3.6 14.7 4.3 100.0 2.4 9.3 2.6 100.0 2.9 12.7 4.3 100.0 2.6 14.1 4.4 97.5 1.7 13.2 5.1 93.8
Matera_MLRO 7941 2.7 13.6 6.1 100.0 1.4 7.1 3.6 100.0 2.0 13.8 5.5 99.9 1.9 13.0 3.3 99.7 1.9 29.2 4.9 97.9
Graz 7839 2.4 13.6 4.6 100.0 1.0 5.7 2.1 100.0 1.4 12.0 4.1 92.2 2.0 11.0 3.2 97.6 0.9 11.6 3.1 95.6
Greenbelt 7105 3.9 13.0 4.2 100.0 2.0 9.5 1.6 99.9 2.8 10.3 3.2 99.8 2.4 14.3 6.2 98.2 1.8 12.5 1.7 92.0
Herstmonceux 7840 3.0 10.3 3.4 100.0 1.7 5.6 1.1 100.0 1.9 10.6 3.0 100.0 2.5 9.9 2.2 98.3 1.4 10.5 2.3 96.0
San_Juan 7406 14.7 34.5 8.8 97.9 5.2 28.7 10.2 96.6 6.8 29.8 8.1 85.0 180.0 23.0 7.9 94.3 8.1 23.0 7.1 92.7
Monument_Peak 7110 5.7 21.5 6.1 99.8 3.5 12.3 2.2 99.4 3.9 18.5 5.1 84.3 3.5 19.9 4.3 97.7 3.0 15.9 4.5 89.7
Hartebeesthoek 7501 4.9 18.8 5.2 99.1 2.7 10.0 4.2 99.3 3.2 15.2 5.9 98.3 3.4 21.5 7.1 96.9 2.7 17.4 6.1 91.9
Potsdam_3 7841 3.9 9.3 5.2 99.9 2.1 7.4 3.2 99.8 2.7 10.9 5.2 98.8 2.5 9.5 3.0 95.3        
Arequipa 7403 4.9 25.3 9.5 99.8 2.6 24.2 19.4 99.6 3.6 23.4 20.4 99.6 3.0 19.4 6.2 97.9 1.7 19.7 14.3 87.2
Grasse_MEO 7845 3.9 11.8 4.1 100.0 2.5 10.3 3.3 100.0 3.2 12.4 3.8 100.0 2.9 9.9 4.6 97.7 2.0 12.3 3.1 94.5
Concepcion_847 7405 9.9 63.1 9.1 100.0 2.0 56.1 11.4 100.0         2.0 44.2 13.6 100.0        
Haleakala 7119 6.8 24.7 7.2 99.4 3.5 11.1 3.4 99.1 4.7 10.4 3.8 98.1 4.8 30.0 12.4 97.9        
Katzively 1893 17.0 15.4 5.9 100.0 10.5 17.5 3.5 97.7 6.2 13.6 6.6 80.0 10.8 18.5 9.4 82.5 10.8 25.6 10.0 93.4
Shanghai_2 7821 3.5 31.1 18.4 98.1 2.1 31.7 15.3 100.0 2.5 31.5 20.3 94.3 3.8 20.4 23.6 100.0 0.7 20.1 9.9 84.9
Simosato 7838 7.1 21.3 4.8 100.0 3.7 12.5 3.4 99.9 5.6 15.8 5.3 98.2 5.5 13.6 5.6 99.0 4.9 12.5 3.3 91.3
McDonald 7080 4.7 18.8 4.5 99.9 3.1 9.6 6.4 100.0 4.0 13.3 3.3 100.0 3.1 18.8 3.0 95.1 2.5 14.2 4.2 95.5
Simeiz 1873         47.3 58.3 23.6 97.4         29.9 57.3 31.2 81.7 25.8 34.6 13.9 66.5
Kiev 1824 21.7 42.5 30.5 86.5 14.4 40.5 32.3 91.3 4.7 23.4 18.8 56.8 24.2 39.0 33.6 88.0        
Baikonur 1887 11.9 25.3 20.2 99.4 8.4 27.7   99.8 6.8 28.6 16.5 84.0 7.8 20.8 14.4 91.1        
Altay 1879 22.4 50.6 22.2 98.8                 4.9 20.6 10.7 97.5        
Beijing 7249 9.2 17.1 12.6 100.0         4.9 13.7 14.8 98.6 9.3 32.4 14.5 97.0        
Arkhyz 1886 10.5 26.8 13.8 100.0 7.9 33.9 14.8 100.0 7.4 30.9 10.6 92.9 6.7 35.4 21.7 89.7        
Papeete 7124 4.3 18.2 9.1 100.0 2.1 9.7 4.2 100.0 3.1 13.5 3.6 99.7 3.1 20.9 8.6 99.7 6.5 17.9 7.3 95.8
Badary 1890 10.8 16.4   98.4 7.0 15.6   99.0                        
Komsomolsk 1868 9.7 35.6 35.8 87.2 6.5 46.5 27.6 100.0         6.7 39.9 22.2 98.6        
Zelenchukskya 1889 7.3 13.2   100.0 5.3 8.3   100.0         5.5 19.4 11.5 100.0