| |
|
|
|
SLR Global Performance Report Card
Period
- January 1, 2000 through December 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.
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. 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 |
|
|
|
|
|
|
|
20 |
10 |
95 |
12 |
1 |
yes |
| Mt. Stromlo |
7849 |
3937 |
1460 |
1005 |
6402 |
47387 |
14638 |
6247 |
68272 |
78600 |
10 |
2 |
19 |
3 |
98 |
22 |
1 |
yes |
| Yarragadee |
7090 |
3502 |
1124 |
1438 |
6064 |
56345 |
13888 |
9396 |
79629 |
93673 |
10 |
2 |
11 |
2 |
98 |
2 |
1 |
yes |
| Monument Peak |
7110 |
4326 |
832 |
601 |
5759 |
69578 |
9239 |
4895 |
83712 |
66223 |
8 |
2 |
14 |
2 |
98 |
3 |
1 |
yes |
| Greenbelt |
7105 |
3626 |
713 |
381 |
4720 |
57682 |
7740 |
2635 |
68057 |
48074 |
10 |
2 |
10 |
2 |
98 |
3 |
1 |
yes |
| Herstmonceux |
7840 |
2644 |
829 |
503 |
3976 |
34871 |
9646 |
2556 |
47073 |
43706 |
16 |
3 |
12 |
3 |
100 |
2 |
1 |
yes |
| Graz |
7839 |
2570 |
604 |
712 |
3886 |
58708 |
8682 |
6129 |
73519 |
66508 |
8 |
2 |
11 |
3 |
100 |
18 |
1 |
yes |
| Grasse |
7835 |
3180 |
533 |
50 |
3763 |
66706 |
6513 |
365 |
73584 |
34738 |
16 |
2 |
13 |
3 |
99 |
5 |
1 |
yes |
| San Fernando |
7824 |
2941 |
421 |
0 |
3362 |
51821 |
3639 |
0 |
55460 |
24502 |
45 |
10 |
35 |
28 |
63 |
2 |
1 |
yes |
| McDonald |
7080 |
2053 |
590 |
531 |
3174 |
29353 |
5353 |
2351 |
37057 |
31687 |
13 |
3 |
15 |
3 |
99 |
2 |
1 |
yes |
| Zimmerwald |
7810 |
2007 |
530 |
161 |
2698 |
30509 |
6311 |
1365 |
38185 |
29940 |
25 |
4 |
13 |
3 |
98 |
2 |
1 |
yes |
| Changchun |
7237 |
1909 |
288 |
238 |
2435 |
28923 |
2518 |
1780 |
33221 |
23709 |
16 |
8 |
23 |
8 |
86 |
5 |
1 |
yes |
| Wettzell |
8834 |
1232 |
593 |
416 |
2241 |
17752 |
5707 |
1905 |
25364 |
27039 |
24 |
5 |
28 |
8 |
89 |
20 |
1 |
yes |
| Simosato |
7838 |
1536 |
272 |
76 |
1884 |
29366 |
3035 |
626 |
33027 |
19206 |
33 |
7 |
23 |
9 |
97 |
2 |
0 |
yes |
| Arequipa |
7403 |
1503 |
188 |
0 |
1691 |
20086 |
1750 |
0 |
21836 |
10520 |
7 |
3 |
15 |
5 |
96 |
5 |
1 |
yes |
| Potsdam |
7836 |
1365 |
217 |
45 |
1627 |
19706 |
2097 |
231 |
22034 |
11598 |
16 |
4 |
21 |
8 |
93 |
11 |
1 |
yes |
| Beijing |
7249 |
1119 |
195 |
89 |
1403 |
15020 |
1380 |
518 |
16918 |
10545 |
20 |
8 |
41 |
11 |
54 |
11 |
1 |
yes |
| Shanghai |
7837 |
918 |
201 |
283 |
1402 |
13209 |
1968 |
1813 |
16990 |
17505 |
17 |
6 |
31 |
9 |
85 |
8 |
1 |
yes |
| Grasse (LLR) |
7845 |
0 |
269 |
957 |
1226 |
0 |
3994 |
3352 |
7346 |
24748 |
24 |
4 |
12 |
4 |
98 |
16 |
1 |
yes |
| Tateyama |
7339 |
769 |
318 |
119 |
1206 |
10814 |
3179 |
626 |
14619 |
13388 |
13 |
3 |
23 |
8 |
82 |
7 |
1 |
no |
| Tahiti |
7124 |
803 |
279 |
0 |
1082 |
12180 |
3085 |
0 |
15265 |
10697 |
10 |
2 |
24 |
5 |
93 |
3 |
1 |
yes |
| Riga |
1884 |
914 |
117 |
0 |
1031 |
18008 |
1551 |
0 |
19559 |
8091 |
24 |
8 |
29 |
32 |
83 |
5 |
1 |
yes |
| Kunming |
7820 |
613 |
269 |
71 |
953 |
7854 |
2727 |
453 |
11034 |
10585 |
42 |
10 |
57 |
60 |
57 |
12 |
0 |
yes |
| Kashima |
7335 |
633 |
237 |
57 |
927 |
8707 |
2195 |
321 |
11223 |
9274 |
17 |
5 |
27 |
13 |
92 |
6 |
1 |
no |
| Borowiec |
7811 |
633 |
138 |
26 |
797 |
11078 |
1762 |
108 |
12948 |
7619 |
29 |
7 |
20 |
11 |
91 |
2 |
1 |
yes |
| Koganei |
7328 |
544 |
140 |
52 |
736 |
6460 |
1459 |
292 |
8211 |
6762 |
|
|
|
|
|
|
1 |
yes |
| Wuhan |
7231 |
483 |
116 |
134 |
733 |
7143 |
1421 |
932 |
9496 |
9966 |
23 |
7 |
26 |
|
86 |
2 |
1 |
yes |
| Matera |
7939 |
569 |
70 |
0 |
639 |
10674 |
792 |
0 |
11466 |
5280 |
154 |
35 |
52 |
21 |
42 |
4 |
1 |
no |
| Maidanak 2 |
1864 |
361 |
122 |
104 |
587 |
4590 |
831 |
320 |
5741 |
4814 |
|
10 |
42 |
29 |
75 |
42 |
0 |
no |
| Miura |
7337 |
373 |
156 |
37 |
566 |
4786 |
1429 |
192 |
6407 |
5667 |
|
|
|
|
|
|
|
no |
| Metsahovi2 |
7806 |
474 |
52 |
11 |
537 |
8671 |
766 |
61 |
9498 |
4372 |
24 |
6 |
25 |
|
73 |
11 |
1 |
yes |
| Helwan |
7831 |
411 |
15 |
0 |
426 |
4828 |
75 |
0 |
4903 |
1804 |
19 |
24 |
36 |
|
50 |
7 |
0 |
yes |
| Hartebeesthoek |
7501 |
243 |
78 |
26 |
347 |
3026 |
773 |
163 |
3962 |
3514 |
10 |
2 |
31 |
|
91 |
4 |
1 |
yes |
| Beijing (TROS) |
7343 |
250 |
42 |
39 |
331 |
3879 |
535 |
257 |
4671 |
3622 |
26 |
10 |
57 |
|
29 |
11 |
1 |
yes |
| Golosiiv |
1824 |
277 |
0 |
0 |
277 |
4964 |
0 |
0 |
4964 |
1437 |
|
|
|
|
|
|
1 |
yes |
| Haleakala |
7210 |
179 |
34 |
10 |
223 |
2094 |
253 |
68 |
2415 |
1556 |
12 |
6 |
15 |
|
99 |
17 |
1 |
yes |
| Komsomolsk |
1868 |
167 |
15 |
26 |
208 |
1969 |
76 |
67 |
2112 |
1195 |
|
|
|
|
|
|
0 |
no |
| Katsively |
1893 |
140 |
46 |
20 |
206 |
2097 |
357 |
106 |
2560 |
1936 |
51 |
6 |
26 |
|
69 |
64 |
0 |
yes |
| Mendeleevo |
1870 |
183 |
0 |
0 |
183 |
1260 |
0 |
0 |
1260 |
395 |
|
|
|
|
|
19 |
0 |
no |
| Simeiz |
1873 |
100 |
26 |
4 |
130 |
1136 |
204 |
26 |
1366 |
926 |
73 |
48 |
48 |
|
18 |
15 |
0 |
no |
| Cagliari |
7548 |
60 |
18 |
0 |
78 |
935 |
90 |
0 |
1025 |
568 |
|
|
|
|
|
|
|
yes |
| Riyadh |
7832 |
3 |
0 |
0 |
3 |
83 |
0 |
0 |
83 |
27 |
|
|
|
|
|
|
0 |
yes |
Responsible Government Official:
NASA's
| |