-->

SLR Global Performance Report Card

October 1, 1998 through September 30, 1999

In addition to the report card are the following graphs. Note: Click on the hyperlinks below to go the appropriate graph. Please don't forget to change your printer page format to landscape if you want to print the charts.

Below is the detailed descriptions of each column in the performance report card:

  • 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 segment 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 average single-shot LAGEOS RMS, in millimeters, during the last quarter.
  • Column 8 is the average LAGEOS normal point RMS, in millimeters, during the last quarter, based on CSR Weekly LAGEOS analysis.
  • Column 9 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 from the CSR Weekly LAGEOS analysis.
  • Column 10 is the measure of long term bias stability, in millimeter, during the past year. A station must have tracked LAGEOS-1 in at least 8 of the last 12 months for a valid measurement. The long term stability is the standard deviation about the mean of the 15 day LAGEOS-1 range biases from CSR LAGEOS-1 long arc analysis.
  • Column 11 is the percentage of LAGEOS normal points that were accepted in CSR weekly LAGEOS analysis.
  • Column 12 is the average data delivery time, in days, to the data centers, during the last quarter.
  • Column 13 is the CSTG normal point format revision number used within the last quarter.
  • Column 14 is a yes/no answer to the question of whether or not configuration files have been provided to the data centers.
  • Column 15 is a yes/no answer to the question of whether a station normal points comply with the ILRS Bin Size recommendations on all satellites.

The first entry in the table is for the performance baseline goal. Note: There is no baseline goal for single shot RMS, normal point RMS, or percentage of accepted LAGEOS NP.

Additional Notes: Blanks in any columns mean either that there was no data or that there was insufficient data. A blank in the last column means that the system has been deactivated with no plans for operations in the foreseeable future. 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.

column 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Station Name Pad# LEO
Total		 Lageos
Total		 High
Total		 Total SS RMS
(mm)		 NP RMS
(mm)		 Short
term
(mm)
Long
term
(mm)
 % of accepted Lageos NP Delivery
(days)		 Format
revision
number		 Config.
files?		 Bin Size
Comp.?
Baseline   1000 400 100 1500     20 20 95 1 1 yes yes
Monument Peak 7110 5132 1445 1717 8294 8 2 10 5 98 1 1 yes yes
Yarragadee 7090 3610 1102 2034 6746 10 2 9 5 99 1 1 yes yes
Mt. Stromlo 7849 3306 1125 1071 5502 11 2 10 6 100 1 1 yes yes
Graz 7839 2745 698 1198 4641 9 2 8 9 100 1 1 yes yes
Herstmonceux 7840 2823 884 849 4556 18 3 10 7 99 1 1 yes yes
Greenbelt 7105 2873 720 549 4142 10 2 9 7 99 1 1 yes yes
Wettzell 8834 1643 608 1037 3288 23 5 21 12 97 1 1 yes yes
McDonald 7080 1772 567 645 2984 14 3 9 11 99 1 1 yes yes
Grasse 7835 2167 326 1 2494 11 2 9 14 100 1 1 yes yes
Changchun 7237 1522 254 630 2406 15 7 19 14 96 1 1 yes yes
Potsdam 7836 1704 286 163 2153 16 4 16 18 99 1 1 yes no
San Fernando 7824 1699 284 0 1983 54 11 23   83 1 1 yes yes
Zimmerwald 7810 1080 356 374 1810 30 4 9 8 98 1 1 yes yes
Matera 7939 1212 377 0 1589 150 36 41 8 50 1 1 yes yes
Grasse (LLR) 7845 0 203 1378 1581 26 5 10 11 98 1 1 yes yes
Tahiti 7124 995 275 77 1347 9 2 25 9 94 1 1 yes yes
Haleakala 7210 747 247 324 1318 13 4 12 12 98 1 0 yes yes
Shanghai 7837 718 206 391 1315 21 8 26 20 96 1 1 yes yes
Helwan 7831 1195 62 0 1257 14 11 18   83 1 0 yes yes
Arequipa 7403 1045 196 0 1241 8 3 16 15 99 1 1 yes yes
Borowiec 7811 730 236 57 1023 31 6 15 18 88 1 1 yes yes
Simosato 7838 692 129 43 864 79 11 35 28 90 1 0 no yes
Riga 1884 544 212 3 759 28 8 37 17 59 1 1 yes yes
Beijing 7249 530 71 78 679 20 8 43   92 1 1 yes yes
Maidanak 2 1864 184 194 234 612   8 21 19 96 1 0 no yes
Metsahovi2 7806 547 40 2 589 34 7 23   93 1 1 yes yes
Orroral 7843 293 78 181 552           1   yes  
Komsomolsk 1868 376 81 86 543         71 2 0 no no
Koganei 7328 358 111 27 496 12 3 20 13 100 1 1 yes yes
Cagliari 7548 362 77 6 445 65 20 42   19 1 0 no yes
Mendeleevo 1870 442 0 0 442           1 0 no no
Tateyama 7339 280 113 24 417       14 100 1 1 yes yes
Kashima 7335 274 63 38 375 13 3 25 15 100 1 1 yes yes
Kunming 7820 94 128 49 271         0 3 0 no yes
Miura 7337 177 40 4 221       17 100 1 1 yes yes
Wuhan 7236 32 31 66 129           1 0 no no
Simeiz 1873 11 7 2 20             0 no  
Katsively 1893 2 9 3 14 82 12 67   54 2 0 no yes