NASA will be performing network maintenance on Wednesday, November 20, 2024, between 11:00 AM EST and 1:00 PM EST (16:00 to 18:00 UTC). There will be two periods of about five minutes of disruption. During these peroids, the ILRS website will be unavailable during the outages. If you experience problems outside this window, contact support-cddis@nasa.gov.

close window

SLR Global Performance Report Card

May 1, 2014 through April 30, 2015

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 12877 2507 6696 22080 230270 21487 22420 274177 165268 5.9 7.8 9.6
Changchun 7237 9618 1252 6300 17170 82917 7298 17864 108079 57565 9.9 13.1 17.0
Mount_Stromlo_2 7825 7310 1472 4023 12805 105772 14184 15510 135466 99344 3.5 5.3 8.5
Greenbelt 7105 5266 1009 1447 7722 104396 9771 4793 118960 72037 4.3 8.2 11.3
Herstmonceux 7840 3748 795 2688 7231 49055 7476 8480 65011 43526 3.4 9.2 13.0
Monument_Peak 7110 4804 904 1382 7090 87805 8138 3883 99826 62594 4.4 7.4 8.7
Graz 7839 3530 575 2851 6956 65250 3830 14307 83387 44463 2.1 4.0 5.0
Matera_MLRO 7941 2935 1171 2396 6502 33219 9432 8935 51586 49588 1.1 3.1 3.9
Zimmerwald_532 7810 3319 622 2272 6213 53029 8500 17071 78600 51108      
Wettzell 8834 2826 422 2090 5338 26425 2969 7798 37192 24156 7.4 10.3 13.5
Hartebeesthoek 7501 2687 875 741 4303 43031 8749 4597 56377 49390 7.8 13.9 16.5
Shanghai_2 7821 1821 373 1592 3786 14271 2281 6791 23343 14539 6.9 7.9 7.5
Badary 1890 2652 313 401 3366 30090 1900 1245 33235 19346   34.0 36.6
Potsdam_3 7841 2630 289 241 3160 44251 2941 1779 48971 29206 7.3 10.6 11.9
Arequipa 7403 2652 258   2910 29088 1641   30729 22341 5.6 9.2 8.0
San_Juan 7406 1667 427 387 2481 28653 4788 2559 36000 29442      
Altay 1879 297 253 1916 2466 2863 1434 8143 12440 6414   27.1 28.9
Beijing 7249 1236 281 899 2416 13517 2110 3998 19625 13503 5.4 11.1 14.7
Svetloe 1888 1142 544 491 2177 11864 4619 1668 18151 21710   26.1 32.1
Arkhyz 1886 567 298 1109 1974 3343 1271 4039 8653 6037   33.7 35.4
Komsomolsk 1868 106 158 1602 1866 1177 909 6415 8501 3625   33.8 32.9
Katzively 1893 1550 217 8 1775 14764 1271 43 16078 11885 28.6 10.7 15.1
McDonald 7080 952 343 425 1720 9161 2936 1390 13487 14350 8.8 9.9 11.3
Grasse_MEO 7845 439 406 859 1704 18136 5244 2780 26160 21902 10.0   16.3
Zelenchukskya 1889 576 271 837 1684 5898 2376 2427 10701 10444   23.3 28.5
Haleakala 7119 1291 382   1673 17453 4324   21777 22370 6.2 8.8 11.9
Kiev 1824 1391 255 7 1653 9474 1153 22 10649 8715 15.2 22.9 20.9
Papeete 7124 751 190 475 1416 11839 1688 1931 15458 11343 7.2 7.9 9.3
San_Fernando 7824 1164 136 4 1304 13830 663 16 14509 8684 5.9 12.3 22.6
Baikonur 1887 71 431 676 1178 533 2742 2293 5568 8723     30.2
Simeiz 1873 863 202 101 1166 10537 1338 465 12340 9350   9.9 11.1
Simosato 7838 846 241 44 1131 15687 3856 330 19873 21896 5.7 9.8 14.9
Brasilia 7407 6 171 370 547 48 1165 1580 2793 3504 6.8   25.8
Mendeleevo 1874 116 91 326 533 1909 1191 1109 4209 4508   27.6 34.7
Daedoek 7359 312 60 67 439 4264 565 459 5288 4905      
Irkutsk 1891 5 145 241 391 44 1460 841 2345 4424     31.6
Kunming 7820 155 36   191 2148 184   2332 1830      
Greenbelt 7125 5 5 4 14 67 28 15 110 116      
Concepcion_847 7405 2     2 16     16 16      

 

 


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 125 512 71 34.9
Matera_MLRO 7941 4 11 6 47.0
McDonald 7080 1 2 2 47.7

 


 

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 4.3 23.7 2.4 100.0 2.3 9.7 1.5 100.0 2.6 19.2 2.2 99.2 2.4 22.5 2.7 97.4 3.2 16.4 2.1 90.4
Changchun 7237 5.2 24.6 3.4 99.6 3.7 23.8 5.1 99.8 1.8 28.8 4.7 98.0 3.2 16.8 4.8 96.1 1.6 30.1 23.5 92.7
Mount_Stromlo_2 7825 4.3 20.8 1.9 99.8 2.7 14.0 2.0 99.7 2.5 20.7 3.7 97.6 2.9 15.4 6.0 95.9 1.8 11.3 2.8 95.5
Greenbelt 7105 3.5 16.3 3.1 99.9 2.1 8.7 1.7 99.9 2.2 15.8 3.4 99.4 2.3 16.0 6.2 97.9 1.7 15.5 4.8 90.8
Herstmonceux 7840 2.3 14.5 3.6 100.0 1.2 6.7 1.7 100.0 0.9 15.9 2.1 100.0 2.5 11.0 3.0 98.7 1.2 11.6 4.6 96.9
Monument_Peak 7110 4.1 18.8 3.6 99.8 1.9 10.3 2.3 99.7 2.3 17.2 3.7 99.2 3.7 17.5 3.1 98.5 1.9 15.2 4.3 91.6
Graz 7839 2.4 16.6 3.7 100.0 1.3 6.8 2.7 100.0 0.8 13.3 4.4 98.6 2.8 14.6 3.5 95.7 0.8 11.9 6.6 96.1
Matera_MLRO 7941 2.4 17.3 4.0 99.9 1.3 8.2 2.6 100.0 1.5 14.7 3.9 99.8 1.9 14.4 3.2 99.5 1.0 19.5 3.1 95.8
Wettzell 8834 3.1 10.9 4.7 100.0 2.9 7.1 2.8 100.0 2.0 9.8 3.2 100.0 3.0 11.7 3.5 94.5        
Hartebeesthoek 7501 5.2 21.0 7.6 99.7 3.4 9.2 3.2 99.7 3.2 16.1 5.3 98.3 3.5 24.3 6.7 94.8        
Shanghai_2 7821 2.6 20.5 15.3 98.5 1.1 18.0 9.4 100.0 0.7 17.4 16.4 99.1 2.4 24.5 11.6 100.0 0.5 24.5 14.7 94.7
Badary 1890 8.7 14.7 5.1 99.8 6.8 11.3 5.1 99.9 5.8 29.1 9.1 93.6 6.0 15.7 7.9 94.8 6.6 16.0 14.5 94.7
Potsdam_3 7841 3.5 17.4 3.3 98.4 2.4 10.6 2.3 99.5 2.2 15.4 3.1 98.2 2.7 9.1 3.1 98.1 1.7 12.0 4.4 93.9
Arequipa 7403 3.4 36.0 25.3 100.0 1.9 41.6 21.8 100.0 1.9 38.0 17.7 100.0 2.7 22.1 7.7 100.0        
Altay 1879 5.4 26.3 16.6 100.0 3.6 26.4 14.6 100.0 3.3 28.8 14.0 99.1 3.6 22.2 13.4 100.0 2.3 23.8 15.2 96.7
Beijing 7249 6.3 15.9 8.5 99.5 5.8 17.2 5.7 100.0 4.2 20.4 9.9 97.3 5.1 22.7 15.0 95.4 3.7 17.8 9.5 92.3
Svetloe 1888 8.5 20.5 5.6 100.0 6.0 18.6 6.3 100.0 5.6 27.3 13.5 96.1 5.4 16.6 9.5 95.6 7.1 20.5 11.5 97.5
Arkhyz 1886 10.8 29.4 17.0 100.0 8.6 26.4 13.5 100.0 6.6 46.8 19.5 98.8 11.2 26.6 12.6 93.7        
Komsomolsk 1868 15.1 51.7 16.2 100.0 5.4 48.9 19.4 100.0 5.5 45.1 31.0 98.8 4.9 32.1 24.5 98.5        
Katzively 1893 19.5 21.7 8.5 98.1 12.2 19.4 7.8 94.3 5.7 34.6 9.3 76.8 10.4 30.7 15.5 83.9        
McDonald 7080 4.6 25.5 8.4 100.0 3.2 15.4 4.7 100.0 2.8 16.1 6.6 97.7 3.0 23.6 12.2 96.3 2.4 10.9 11.8 96.2
Grasse_MEO 7845 4.4 15.0 5.6 100.0 2.7 14.7 8.2 100.0 3.1 17.8 5.7 99.6 3.2 9.9 9.6 97.2 2.4 15.9 7.4 93.5
Zelenchukskya 1889 6.3 20.3 11.4 100.0 4.0 22.0 6.8 100.0 4.3 19.4 6.9 99.0 5.2 21.9 8.6 98.6 4.1 20.5 10.7 95.9
Haleakala 7119 4.9 30.1 3.8 99.8 2.3 8.7 2.8 99.8 2.3 14.1 2.6 98.9 5.2 28.2 6.1 99.5        
Kiev 1824 21.8 44.6 34.5 92.8 13.3 41.7 34.2 88.0 4.1 35.7 31.2 64.5 30.3 42.6 33.9 78.2 16.6 29.8   94.7
Papeete 7124 4.3 18.0 3.8 100.0 2.4 10.1 4.6 100.0 2.7 15.4 7.5 99.2 3.3 30.8 16.5 100.0        
San_Fernando 7824 6.4 24.8 39.7 99.7 5.3 13.9 32.3 100.0 3.2 19.2 28.3 97.6 5.3 10.9   98.3        
Baikonur 1887 11.0 22.3 13.0 100.0 9.7 19.6 11.5 100.0 5.8 32.8 9.5 88.1 9.4 24.4 9.9 93.1 7.5 23.8 18.2 93.3
Simeiz 1873 25.2 45.7 19.3 89.4 23.5 45.6 12.3 96.4 4.5 46.8 11.2 57.7 23.3 40.9 13.1 90.6        
Simosato 7838 5.2 15.9 5.5 100.0 3.3 14.4 5.6 100.0 3.5 13.6 4.2 99.1 4.6 20.1 11.4 98.5 3.9 13.0 6.3 93.7
Brasilia 7407 5.4 26.2 4.3 100.0 5.0 21.9 15.8 100.0         8.4 20.6 12.3 100.0        
Mendeleevo 1874 6.6 15.2   99.8                 5.5 11.3 11.8 98.5        
Kunming 7820 8.4 24.6 38.9 98.4 9.6 53.2 30.8 99.4