SLR Global Performance Report Card

July 1, 2000 through June 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 10 95 12 1 yes
Yarragadee 7090 3717 1068 1180 5965 63194 13257 9549 86000 94518 10 2 11 2 99 2 1 yes
Mt. Stromlo 7849 3701 1243 679 5623 45191 11990 4140 61321 61878 11 3 14 5 98 5 1 yes
Monument Peak 7110 4183 809 459 5451 68842 8197 3385 80424 56254 10 2 10 3 98 3 1 yes
Greenbelt 7105 3938 840 412 5190 69637 9501 2602 81740 55412 11 3 12 2 99 3 1 yes
Herstmonceux 7840 2720 872 539 4131 37225 10762 2799 50786 47469 17 2 10 2 100 2 1 yes
Graz 7839 2777 562 597 3936 65258 8115 4738 78111 60038 8 2 8 3 99 15 1 yes
Grasse 7835 3187 567 68 3822 69620 6483 529 76632 35927 17 2 10 6 99 3 1 yes
McDonald 7080 2276 695 559 3530 32200 6116 2419 40735 34504 13 3 12 3 99 2 1 yes
Changchun 7237 2137 367 235 2739 33584 2962 1723 38269 25584 17 8 19 9 99 4 1 yes
Zimmerwald 7810 1901 513 136 2550 29631 6020 1179 36830 27911 22 3 9 5 99 3 1 yes
San Fernando 7824 2194 325 0 2519 38737 2357 0 41094 17304 56 12 27 28 86 3 1 yes
Potsdam 7836 1482 263 51 1796 22085 2467 247 24799 12751 16 6 21 9 96 7 1 yes
Arequipa 7403 1471 269 0 1740 20564 2724 0 23288 12562 8 2 16 4 98 5 1 yes
Simosato 7838 1381 287 64 1732 27172 3039 466 30677 17617 24 9 10 18 81 2 0 yes
Hartebeesthoek 7501 1030 327 143 1500 12711 3849 1026 17586 17625 10 2 16 9 95 4 1 yes
Shanghai 7837 1056 236 205 1497 15223 2181 1291 18695 15987 16 6 27 10 67 9 1 yes
Beijing 7249 1134 175 61 1370 15978 1358 322 17658 9750 21 13 25 35 72 5 1 yes
Kunming 7820 834 362 137 1333 12308 3322 822 16452 14950 38 7 35 26 84 6 0 yes
Wettzell 8834 740 347 204 1291 9634 3039 835 13508 13539 24 4 19 7 95 2 1 yes
Riga 1884 887 123 0 1010 17881 1330 0 19211 7357 14 5 29 25 91 5 1 yes
Tahiti 7124 717 210 0 927 10680 2315 0 12995 8604 9 2 16 5 84 3 1 yes
Haleakala 7210 599 137 136 872 7531 1191 919 9641 9460 11 5 23 9 99 2 1 yes
Borowiec 7811 615 224 14 853 11040 2661 52 13753 8982 29 6 24 12 96 2 1 yes
Grasse (LLR) 7845 0 277 481 758 0 4090 2900 6990 22680 27 4 10 5 97 3 1 yes
Tateyama 7339 531 157 68 756 7291 1346 331 8968 6949 12 3 16 15 68 7 1 yes
Metsahovi2 7806 499 86 18 603 10719 1346 101 12166 6174 24 5 19   98 12 1 yes
Wuhan 7231 326 82 95 503 5052 943 705 6700 7098             1 yes
Riyadh 7832 305 141 54 500 6440 2053 480 8973 8729 26 6 19   92 3 1 yes
Kashima 7335 327 83 27 437 4303 740 119 5162 3685               yes
Matera 7939 350 40 0 390 6664 443 0 7107 3140               yes
Helwan 7831 362 9 0 371 4163 46 0 4209 1472             0 yes
Golosiiv 1824 284 55 0 339 4185 345 0 4530 1995 72 11 48   41 9 1 yes
Beijing (TROS) 7343 250 42 39 331 3879 535 257 4671 3622             1 yes
Maidanak 2 1864 241 46 36 323 3045 292 121 3458 2245             0 no
Simeiz 1873 241 45 5 291 2575 328 30 2933 1674         2 14 0 yes
Katsively 1893 196 62 22 280 3107 531 123 3761 2707 59 12 29 21 79 15 0 yes
Mendeleevo 1870 220 0 0 220 1622 0 0 1622 507             1 no
Koganei 7328 123 9 0 132 1249 60 0 1309 578               yes
Komsomolsk 1868 76 8 6 90 1084 51 24 1159 568             1 no
Urumqi (TROS) 7355 31 42 2 75 466 584 15 1065 1365 28 8 34   36 9 1 yes
Cagliari 7548 13 2 0 15 182 9 0 191 99             0 yes