SLR Global Performance Report Card

July 1, 1999 through June 30, 2000

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.

Special Note: This report card reflects the "true" pass totals.

Download all the performance graphs in powerpoint.

Below are 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 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 tracking minutes total (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 LAGEOS RMS, in millimeters, during the last quarter.
  • Column 13 is the average LAGEOS normal point RMS, in millimeters, during the last quarter, based on CSR Weekly LAGEOS analysis.
  • Column 14 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 15 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 16 is the percentage of LAGEOS normal points that were accepted in CSR weekly LAGEOS analysis.
  • Column 17 is the average data latency time, in days, to the data centers, during the last quarter.
  • Column 18 is the ILRS normal point format revision number used within the last quarter.
  • Column 19 is a yes/no answer to the question of whether or not configuration files have been provided to the data centers.

The first entry in the table is for the performance baseline goal. Note: There is no baseline goal for NP data quantities, single shot RMS, and normal point RMS.

Additional Notes: Blanks in any columns mean 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.

    Data Volume Data Quality Operational Compliance
Column 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Location Station Number LEO Pass Total LAG Pass Total High Pass Total Pass Total LEO NP Total LAGEOS NP Total High NP Total Total NP Minutes of Track SS RMS NP RMS Short Term Long Term % of good LAGEOS NP Data Latency (Days) Format Revision Conf. Files
Baseline   1000 400 100 1500               20 20 95 1 1 yes
Monument Peak 7110 5226 1233 631 7090 83059 14846 6455 104360 90314 10 2 11 8 98 0 1 yes
Yarragadee 7090 3613 1119 1043 5775 55275 13646 9732 78653 95819 10 2 10 5 98 0 1 yes
Mt. Stromlo 7849 3427 1249 916 5592 37132 11876 5604 54612 66170 11 3 13 8 99 1 1 yes
Greenbelt 7105 3592 804 351 4747 54629 8954 2860 66443 50999 11 2 11 11 98 0 1 yes
Herstmonceux 7840 2927 926 479 4332 36714 11244 2293 50251 46750 18 3 11 7 100 0 1 yes
Graz 7839 2508 655 818 3981 56518 10058 6755 73331 72311 9 2 8 10 99 2 1 yes
San Fernando 7824 2907 543 0 3450 47038 4830 0 51868 25911 37 9 37 34 64 0 1 yes
Grasse 7835 2688 494 34 3216 53828 6139 290 60257 30887 16 2 10 12 100 0 1 yes
Wettzell 8834 1743 728 541 3012 27188 7452 3113 37753 39941 21 5 21 12 97 0 1 yes
McDonald 7080 1844 511 331 2686 25885 4892 1565 32342 25896 13 3 13 6 100 0 1 yes
Changchun 7237 1667 485 406 2558 24085 4997 2843 31925 32727 16 8 20   93 0 1 yes
Zimmerwald 7810 1504 456 213 2173 22647 6154 1824 30625 29520 36 6 11 11 98 0 1 yes
Potsdam 7836 1445 310 59 1814 20048 2996 293 23337 14177 16 5 19 18 93 0 1 yes
Arequipa 7403 1345 146 0 1491 17170 1329 0 18499 8646 10 4 22 15 100 0 1 yes
Shanghai 7837 811 208 321 1340 11595 2065 2022 15682 18357 14 6 22 15 97 0 1 yes
Beijing 7249 973 246 98 1317 13080 1872 542 15494 11083 22 8 14 16 97 0 1 yes
Koganei 7328 790 307 101 1198 9702 3175 537 13414 12602 11 4 24 14 94 0 1 yes
Simosato 7838 960 170 45 1175 17452 1809 354 19615 11478 35 8 18   99 0 0 no
Tateyama 7339 682 286 114 1082 9197 3374 597 13168 13043 16 6 15   100 0 1 yes
Helwan 7831 1036 41 0 1077 12851 220 0 13071 4837 18 7       0 0 yes
Matera 7939 789 251 0 1040 13755 2859 0 16614 10582 144 27 17   22 1 1 yes
Kashima 7335 675 257 74 1006 9319 2507 420 12246 10640 13 4 20 12 97 0 1 yes
Riga 1884 746 205 0 951 15619 2947 0 18566 10560 26 7 39   74 0 1 no
Grasse (LLR) 7845 0 313 591 904 0 5264 3771 9035 29383 24 4 11 11 100 1 1 yes
Borowiec 7811 608 244 37 889 10276 2979 147 13402 10068 28 5 12 22 97 0 1 yes
Miura 7337 551 210 44 805 6862 1971 230 9063 7692 13 4 29   89 0 1 yes
Metsahovi2 7806 540 79 18 637 9316 999 92 10407 5536 27 10 48   67 1 1 yes
Tahiti 7124 447 164 16 627 5982 1693 96 7771 6113 10 3 18   93 0 1 yes
Kunming 7820 332 210 42 584 3855 2206 258 6319 7198 36 9 45   48 0 0 no
Maidanak 2 1864 233 174 144 551 2867 1268 448 4583 5609   9 37   48 2 0 no
Komsomolsk 1868 287 66 83 436 3038 360 200 3598 2877           2 0 no
Mendeleevo 1870 285 0 0 285 2110 0 0 2110 722           2 0 no
Cagliari 7548 188 53 5 246 2980 316 26 3322 1890 37 11 35   40 1 0 no
Wuhan 7231 158 32 42 232 2097 462 264 2823 3041 19 7 21   88 1 0 no
Golosiiv 1824 202 0 0 202 3862 0 0 3862 1193           0 1 yes
Haleakala 7210 83 22 20 125 863 210 177 1250 1610               yes
Katsively 1893 40 39 13 92 689 272 57 1018 1063 50 9 32   92 2 0 no