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SLR Global Performance Report Card

July 1, 1997 through June 30, 1998

Below is the matrix of performance statistics and status information.

Column 1 is the station location name.
Column 2 is the monument marker number.
Column 3 is the LEO pass total.
Column 4 is the LAGEOS pass total.
Column 5 is the high satellite pass total.
Column 6 is the single-shot LAGEOS RMS, in mm.
Column 7 is the LAGEOS normal point RMS, in mm.
Column 8 is the measure of short term bias stability, in mm.
Column 9 is the measure of long term bias stability, in mm.
Column 10 is the average data delivery time, in days, to the data centers.
Column 11 is the CSTG normal point format revision number.
Column 12 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. Blanks in the 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. Stations with no reported data within the last year will be deleted from the table.

column 1 2 3 4 5 6 7 8 9 10 11 12
Station Name Pad# LEO Tot LAG Tot High Tot SS RMS(mm) NP RMS(mm) short term(mm) long term(mm) del days form rev # conf files?
Baseline   1000 400 100     20 20 2 1 yes
Maidanak 2 1864 225 244 262   9 30 14 4 0 no
Komsomolsk 1868 294 106 100   9 34 21 4 0 no
Mendeleevo 1870 252 0 0         6 0 no
Simeiz 1873 120 21 0 55 19     1 0 no
Riga 1884 437 136 30 30 7 45 22 1 1 no
Katsively 1893 63 19 32         2 0 no
Cuba 1953 192 0 0         1 1 no
McDonald 7080 1612 534 464 16 3 12 7 1 1 yes
Yarragadee 7090 3326 1065 1357 9 2 10 4 1 0 yes
Greenbelt 7105 3030 748 454 10 2 9 9 1 0 yes
Monument Peak 7110 4815 1353 1012 11 2 12 5 1 0 yes
Tahiti 7124 270 127 47 14 2 22 9 1 0 yes
Haleakala 7210 1718 585 504 13 3 17 10 2 0 yes
Wuhan 7236 103 35 11 37 93 71 45 1 0 no
Changchun 7237 1990 465 208 15 8 20 15 2 1 yes
Beijing 7249 875 99 29 47 18 111 18 1 0 no
Tokyo 7308 208 42 24         1 1 yes
Arequipa 7403 1806 397 0 8 3 16 8 1 0 yes
Cagliari 7548 147 20 0 66 10 45   2 0 no
TIGO 7594 35 39 0 16 5 13   27 1 no
Metsahovi 7805 513 0 0         1 1 no
Metsahovi2 7806 160 21 0 26 7 5   1 1 no
Zimmerwald 7810 1083 336 36 27 6 9 10 1 1 yes
Borowiec 7811 526 136 11 28 5 20 9 1 1 yes
San Fernando 7824 1199 224 0 52 15 51 28 1 1 yes
Helwan 7831 426 30 0 20 9 18   1 0 yes
Riyadh 7832 95 18 1         1 0 no
Grasse 7835 1399 459 37 10 3 12 7 1 1 yes
Potsdam 7836 1684 308 0 17 4 17 8 1 1 yes
Shanghai 7837 684 197 44 29 8 43 25 1 0 yes
Simosato 7838 338 62 7 65 11 34   1 0 no
Graz 7839 2016 566 172 8 2 12 7 1 1 yes
Herstmonceux 7840 2476 833 419 18 2 9 7 1 1 yes
Orroral 7843 2799 830 689 12 3 23 7 1 1 yes
Matera 7939 995 386 0 162 27 28 15 1 1 yes
Wettzell 8834 1882 599 532 16 4 16 6 1 0 yes