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SLR Global Performance Report Card

October 1, 2000 through September 30, 2001

In addition to the report card are the following graphs. (Performance Graphs in powerpoint). 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 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. The long term stability is the standard deviation of the monthly range bias estimates from the CSR Weekly LAGEOS analysis. A station must have tracked LAGEOS (1,2) in at least 8 of the last 12 months in order to compute this metric.
  • Column 16 is the percentage of LAGEOS normal points that were accepted in CSR weekly LAGEOS analysis.
  • Column 17 is the median data latency, in hours, 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 a site log has been provided to the central bureau. Site logs will be a replacement for the configuration files.

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 (hours) Format Revision Site logs
Baseline   1000 400 100 1500             10 20 20 95 12 1 yes
Yarragadee 7090 3794 1093 1100 5987 65,003 13,641 9611 88,255 96,063 10 2 13 2 98 2 1 yes
Monument Peak 7110 4453 909 481 5843 72,578 9325 3310 85,213 54,158 10 2 10 3 98 3 1 yes
Greenbelt 7105 4184 920 425 5529 75,560 10,599 2709 88,868 55,829 11 3 10 2 99 3 1 yes
Mt. Stromlo 7849 3552 1075 502 5129 43,528 9988 3032 56,548 51,793 11 4 13 5 99 3 1 yes
Graz 7839 3074 583 567 4224 71,091 8520 4606 84,217 59,078 8 2 10 3 99 5 1 yes
Grasse 7835 3347 691 82 4120 72,826 7766 650 81,242 37,806 24 2 10 5 99 2 1 yes
Herstmonceux 7840 2692 912 469 4073 37,878 11,379 2476 51,733 46,594 16 2 10 1 100 3 1 yes
McDonald 7080 2244 710 637 3591 30,745 6142 2625 39,512 32,516 13 3 13 3 99 2 1 yes
Changchun 7237 2250 491 238 2979 35,630 4405 1682 41,717 27,382 16 7 19 7 97 2 1 yes
Zimmerwald 7810 1971 533 196 2700 30,860 6746 1614 39,220 30,805 22 3 11 6 99 3 1 yes
Hartebeesthoek 7501 1509 516 267 2292 19,358 6603 2453 28,414 32,353 10 2 15 9 98 3 1 yes
Potsdam 7836 1478 311 38 1827 22,031 2845 176 25,052 12,957 16 5 16 7 98 9 1 yes
San Fernando 7824 1577 241 0 1818 26,789 1548 0 28,337 10,398 54 15 54 12 54 2 1 yes
Arequipa 7403 1486 254 0 1740 22,692 2566 0 25,258 12,096 7 2 16 5 97 2 1 yes
Simosato 7838 1240 297 63 1600 24,675 3106 407 28,188 14,940 32 7 20 15 93 1 0 yes
Beijing 7249 1261 244 65 1570 17,078 2047 370 19,495 10,954 18 13 46 37 71 10 1 yes
Shanghai 7837 1057 283 134 1474 14,953 2620 801 18,374 13,299 18 6 27 13 92 12 1 yes
Haleakala 7210 877 251 219 1347 11,174 2577 1509 15,260 15,777 12 4 13 8 97 2 1 yes
Kunming 7820 817 357 137 1311 12,084 3286 822 16,192 13,975           3 0 yes
Riyadh 7832 738 281 113 1132 14,387 3877 984 19,248 16,730 21 4 21 4 92 3 0 yes
Wettzell 8834 571 293 133 997 8166 2809 724 11,699 11,805 24 4 23 9 95 3 1 yes
Tateyama 7339 693 150 71 914 9018 1170 336 10,524 6571 13 3 23 16 74 6 1 yes
Riga 1884 719 138 0 857 14,164 1528 0 15,692 6867 15 6 21 20 98 3 1 yes
Grasse (LLR) 7845 0 334 474 808 0 5466 3001 8467 25,937 24 4 12 7 97 2 1 yes
Borowiec 7811 440 262 14 716 7552 3048 51 10,651 8539 27 7 17 11 93 2 1 yes
Simeiz 1873 450 100 3 553 5208 626 12 5846 2773 68 26 40   37 13 0 yes
Tahiti 7124 373 93 0 466 5339 963 0 6302 3960               yes
Metsahovi2 7806 363 83 15 461 7774 1181 84 9039 4963 27 7 27 7 91 4 1 yes
Golosiiv 1824 308 95 0 403 4508 605 0 5113 2483 80 16 42   32 7 1 yes
Kashima 7335 244 51 23 318 3276 438 105 3819 2470               yes
Katsively 1893 204 82 18 304 3499 699 101 4299 2923 55 11 26 7 67 17 0 yes
Mendeleevo 1870 238 0 0 238 2014 0 0 2014 629           16 1 no
Helwan 7831 170 8 0 178 1803 42 0 1845 618           11 0 yes
MLRO 7941 82 65 17 164 1596 684 102 2382 2447 5 2 12   94 1107 1 yes
Maidanak 2 1864 98 24 24 146 1234 150 78 1462 1052               no
Wuhan 7231 90 29 17 136 1460 310 145 1915 1714 23 14 37   38 3 1 yes
Lhasa (TROS) 7356 62 46 10 118 924 603 46 1573 1749 28 9 31   74 3 1 yes
Beijing (TROS) 7343 66 22 15 103 1197 321 112 1630 1564               yes
Urumqi (TROS) 7355 31 44 2 77 466 606 15 1087 1403               yes
Matera 7939 54 11 0 65 983 115 0 1098 537               yes
Komsomolsk 1868 39 16 6 61 532 104 24 660 477 168 21 61   47 317 1 no
Cagliari 7548 28 4 0 32 483 29 0 512 243 45 8     0 13 0 yes
Maidanak 1 1863 6 8 0 14 93 64 0 157 155         0 120 1 no
Koganei 7328 10 0 0 10 89 0 0 89 23               yes
Totals   48,940 12,910 6575 68,425 802,298 141,147 44,773 988,218 737,403