SLR Global Performance Report Card

April 1, 2000 through March 31, 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 10 95 12 1 yes
Yarragadee 7090 3658 1089 1499 6246 60964 13564 10293 84821 98502 10 2 13 2 98 2 1 yes
Mt. Stromlo 7849 3739 1343 829 5911 45503 13447 5301 64251 70756 10 3 15 4 97 3 1 yes
Monument Peak 7110 4217 855 499 5571 68837 9267 4343 82447 63327 11 3 12 3 98 3 1 yes
Greenbelt 7105 3603 738 333 4674 60779 8335 2175 71289 48012 10 2 11 2 98 3 1 yes
Herstmonceux 7840 2489 796 490 3775 33116 9424 2433 44973 41931 17 3 11 3 99 1 1 yes
Graz 7839 2448 530 614 3592 56526 7707 5093 69326 58351 8 2 9 3 98 15 1 yes
Grasse 7835 2821 495 35 3351 60050 5947 249 66246 30862 17 2 11 3 99 2 1 yes
McDonald 7080 2048 612 566 3226 29229 5461 2509 37199 32664 14 3 12 4 97 2 1 yes
San Fernando 7824 2518 408 0 2926 44926 3254 0 48180 21350 43 10 28 29 83 1 1 yes
Changchun 7237 2054 360 266 2680 31855 3105 1924 36884 26482 19 8 19 9 94 2 1 yes
Zimmerwald 7810 1793 493 148 2434 27242 5956 1274 34472 27544 22 3 15 4 98 3 1 yes
Simosato 7838 1500 298 83 1881 29422 3192 600 33214 19374 25 7 25 9 96 2 0 yes
Potsdam 7836 1458 271 52 1781 21356 2567 259 24182 13022 16 4 24 7 97 8 1 yes
Wettzell 8834 955 479 294 1728 12613 4521 1316 18450 19958 25 5 21 6 100 2 1 yes
Arequipa 7403 1512 192 0 1704 20368 1781 0 22149 10669 7 4 21 6 87 4 1 yes
Shanghai 7837 1018 243 265 1526 14530 2296 1679 18505 17927 18 6 34 6 87 9 1 yes
Beijing 7249 1056 174 64 1294 14615 1342 344 16301 9369 24 16 32 30 34 12 1 yes
Kunming 7820 773 364 124 1261 11164 3431 763 15358 14499 40 7 38   67 15 0 yes
Tahiti 7124 847 269 0 1116 12908 3063 0 15971 10948 9 2 13 5 95 4 1 yes
Riga 1884 951 138 0 1089 18741 1759 0 20500 8596 25 10 50 25 75 4 1 yes
Grasse (LLR) 7845 0 270 769 1039 0 4028 3301 7329 24561 25 4 14 3 95 1 1 yes
Borowiec 7811 650 208 26 884 11123 2593 108 13824 9307 30 6 18 10 96 3 1 yes
Hartebeesthoek 7501 557 172 57 786 6412 1693 357 8462 7601 9 2 22 9 93 3 1 yes
Tateyama 7339 544 158 67 769 7442 1404 327 9173 7177 13 3 27 10 80 4 1 yes
Wuhan 7231 483 116 134 733 7143 1421 932 9496 9966       8       yes
Metsahovi2 7806 483 76 12 571 9598 1189 58 10845 5426 22 8 19   96 11 1 yes
Kashima 7335 421 107 32 560 5471 977 143 6591 4732 19 6 23 14 92 4 1 yes
Haleakala 7210 370 97 46 513 4638 835 227 5700 4376 16 6 13   98 11 1 yes
Maidanak 2 1864 346 96 64 506 4368 684 200 5252 3867       32     0 no
Matera 7939 434 56 0 490 8236 633 0 8869 4088             1 yes
Helwan 7831 426 13 0 439 5104 64 0 5168 1861           2 0 yes
Beijing (TROS) 7343 250 42 39 331 3879 535 257 4671 3622             1 yes
Golosiiv 1824 290 23 0 313 4995 166 0 5161 1818 182 22 50   44 10 1 yes
Koganei 7328 225 25 5 255 2346 198 27 2571 1411             1 yes
Riyadh 7832 130 72 45 247 2878 1097 414 4389 5256 30 5 19   92 5 0 yes
Mendeleevo 1870 222 0 0 222 1532 0 0 1532 482           55 1 no
Katsively 1893 140 46 21 207 2097 357 111 2565 1961       22       yes
Simeiz 1873 117 35 4 156 1294 268 26 1588 1098 78 14 42   22 33 0 yes
Komsomolsk 1868 102 2 9 113 1388 11 29 1428 676         0 61   no
Miura 7337 82 8 2 92 918 57 9 984 565               yes
Cagliari 7548 60 18 0 78 935 90 0 1025 568               yes