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 6652 1452 3922 12026 110055 14426 17324 141805 103039 6.3 8.2 9.6
Changchun 7237 3465 380 2159 6004 29615 2095 6691 38401 21737 8.1 11.2 14.6
Zimmerwald_532 7810 3312 607 2082 6001 54009 8832 8767 71608 53165 4.5 8.6 11.4
Mount_Stromlo_2 7825 3979 729 479 5187 60300 6818 2360 69478 56473 4.0 7.1 9.3
Matera_MLRO 7941 2532 898 1146 4576 31951 8812 5373 46136 46197 1.0 3.3 4.6
Wettzell 8834 2629 524 1125 4278 26732 3948 4719 35399 28252 7.3 11.3 13.6
Graz 7839 2143 337 1362 3842 39997 2957 9411 52365 31713 2.0 3.1 5.0
Herstmonceux 7840 1868 397 887 3152 29472 4779 3411 37662 29237 5.1 14.3 13.2
San_Juan 7406 1773 542 781 3096 31842 6407 5308 43557 38503 5.9 12.3 8.0
Greenbelt 7105 2385 375 327 3087 42924 3528 1454 47906 31881 4.2 9.1 10.0
Hartebeesthoek 7501 1935 500 374 2809 28251 5056 2108 35415 30393 5.8 10.7 17.2
Arequipa 7403 2317 299   2616 30146 2146   32292 24601 5.5 10.4 9.3
Monument_Peak 7110 1770 406 368 2544 30779 3299 1126 35204 24934 9.7 12.5 15.1
Potsdam_3 7841 1790 253 184 2227 31002 2715 1537 35254 23580 7.2 11.1 13.6
Katzively 1893 1290 149 181 1620 32432 2319 2614 37365 26159 29.8 43.1 31.1
Haleakala 7119 1206 384   1590 20931 3906   24837 23415      
San_Fernando 7824 1477 70 2 1549 19135 314 8 19457 11216 5.5 10.5 63.9
Grasse_MEO 7845 598 257 467 1322 21153 3040 1778 25971 17163 8.8 14.9 15.3
Shanghai_2 7821 691 100 496 1287 5261 453 1806 7520 4562 7.7 12.7 13.5
Concepcion_847 7405 892 278 70 1240 9471 3192 461 13124 16526 7.6 15.5 21.1
Simosato 7838 800 292 83 1175 15173 5220 591 20984 26499 4.1 6.5 13.8
Baikonur 1887 222 405 523 1150 2295 2720 2272 7287 10455   12.3 14.3
McDonald 7080 665 246 140 1051 6525 1821 523 8869 9442 8.2 11.7 11.6
Simeiz 1873 808 161 25 994 9639 1188 166 10993 9216   30.9 33.0
Arkhyz 1886 354 127 276 757 3257 731 1280 5268 4474   14.5 20.2
Beijing 7249 534 71 133 738 57196 581 762 58539 22741 7.4 13.1 15.7
Altay 1879 160 92 452 704 2083 690 1437 4210 3534     7.8
Papeete 7124 349 94 176 619 5307 809 759 6875 5749 7.0 7.4 8.4
Kiev 1824 468 64 32 564 4215 351 117 4683 3639 12.5 12.0 11.1
Koganei 7308 252 75 137 464 3284 576 778 4638 3830 10.2 13.3 16.0
Zelenchukskya 1889 100 64 249 413 1280 661 928 2869 2887     19.4
Badary 1890 322 63 26 411 4284 581 194 5059 4621     22.2
Komsomolsk 1868 27 47 180 254 201 303 453 957 1088     12.3
Riga 1884 220 5   225 3385 22   3407 2046 9.4 11.5  
Svetloe 1888 81 23 1 105 624 84 6 714 678     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 15 30    
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 3.6 17.3 3.5 100.0 2.0 7.1 2.4 100.0 2.9 12.1 3.9 99.9 2.4 17.5 2.7 98.8 1.9 11.7 2.3 92.5
Changchun 7237 6.2 28.6 8.3 99.3 4.3 24.2 8.5 99.8 2.8 25.4 8.7 94.8 3.6 30.4 14.1 93.1 1.9 31.4 18.7 82.2
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 11.9 2.5 95.0
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 2.7 11.7 3.9 94.7
Matera_MLRO 7941 2.8 13.9 6.1 99.7 1.4 7.0 3.6 100.0 2.0 13.8 5.5 99.9 1.9 13.0 3.3 99.7 2.0 31.7 3.1 98.3
Wettzell 8834 3.6 14.5 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 12.4 4.6 93.6
Graz 7839 2.4 13.6 4.5 99.7 1.0 5.7 2.1 100.0 1.4 12.0 4.1 92.2 2.0 11.0 3.2 97.6 0.6 9.1 2.4 95.3
Herstmonceux 7840 3.0 10.2 3.4 100.0 1.7 5.7 1.1 100.0 1.9 10.6 3.0 100.0 2.5 9.9 2.2 98.3 1.3 10.5 2.7 96.4
San_Juan 7406 14.2 34.0 8.9 97.8 5.3 28.8 9.9 96.1 6.8 29.8 8.1 85.0 180.0 23.0 7.9 94.3 7.5 24.3 9.8 90.9
Greenbelt 7105 3.8 13.4 4.3 100.0 2.0 9.5 1.6 99.9 2.8 10.3 3.2 99.8 2.4 14.3 6.2 98.2 1.4 8.7 3.2 91.1
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 16.1 6.2 90.9
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 1.4 17.8 5.8 89.5
Monument_Peak 7110 5.4 23.1 5.9 94.0 3.5 12.7 2.2 99.5 3.9 18.5 5.1 84.3 3.5 19.9 4.3 97.7 2.7 16.0 6.2 89.5
Potsdam_3 7841 3.9 9.4 5.2 99.9 2.1 7.4 3.1 99.8 2.7 10.9 5.2 98.8 2.5 9.5 3.0 95.3        
Katzively 1893 17.0 15.6 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 8.9 23.6 13.5 92.6
Haleakala 7119 6.8 24.0 7.1 99.4 3.5 10.8 3.4 99.0 4.7 10.4 3.8 98.1 4.8 30.0 12.4 97.9        
Grasse_MEO 7845 3.9 12.0 4.1 99.9 2.5 10.5 3.1 100.0 3.2 12.4 3.8 100.0 2.9 9.9 4.6 97.7 2.1 13.6 4.4 93.3
Shanghai_2 7821 3.5 31.1 18.2 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        
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        
Simosato 7838 7.0 21.4 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 4.0 12.4 5.1 90.4
Baikonur 1887 11.9 25.2 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        
McDonald 7080 4.7 18.2 4.2 99.8 3.1 9.6 6.4 100.0 4.0 13.3 3.3 100.0 3.1 18.8 3.0 95.1 2.4 12.4 6.4 95.1
Simeiz 1873         45.0 57.0 23.6 97.6         29.9 57.3 31.2 81.7 26.8 34.3 15.1 74.3
Arkhyz 1886 10.5 26.8 13.8 100.0 7.9 33.6 14.7 100.0 7.4 30.9 10.6 92.9 6.7 35.4 21.7 89.7        
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        
Altay 1879 22.4 51.9 22.3 98.8                 4.9 20.6 10.7 97.5        
Papeete 7124 4.3 18.3 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 7.6 15.9 27.4 96.4
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        
Zelenchukskya 1889 7.3 13.2   100.0 5.3 8.3   100.0         5.5 19.4 11.5 100.0        
Badary 1890 10.8 16.4   98.4 7.0 15.6   99.0                        
Komsomolsk 1868 9.7 35.6 35.8 87.2 6.7 45.9 24.4 100.0         6.7 39.9 22.2 98.6