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SLR Global Performance Report Card
Period - January 1, 2001 through December 31, 2001
In addition to the report card are the
following graphs. (Performance Graphs in GIF format
(compressed)). 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 |
3,850 |
1,172 |
1,380 |
6,402 |
65,967 |
14,406 |
10,640 |
91,013 |
103,167 |
10 |
2 |
10 |
2 |
98 |
1 |
1 |
yes |
Monument
Peak |
7110 |
4,586 |
878 |
533 |
5,997 |
74,923 |
9,218 |
4,242 |
88,383 |
64,843 |
9 |
2 |
12 |
4 |
97 |
3 |
1 |
yes |
Greenbelt |
7105 |
4,407 |
961 |
432 |
5,800 |
83,402 |
10,837 |
3,206 |
97,445 |
65,596 |
10 |
2 |
11 |
3 |
98 |
2 |
1 |
yes |
Graz |
7839 |
3,640 |
722 |
636 |
4,998 |
85,763 |
10,633 |
5,538 |
101,934 |
75,352 |
8 |
2 |
11 |
2 |
99 |
5 |
1 |
yes |
Grasse |
7835 |
3,614 |
746 |
106 |
4,466 |
79,572 |
8,505 |
845 |
88,922 |
44,938 |
17 |
2 |
10 |
2 |
99 |
3 |
1 |
yes |
Mt.
Stromlo |
7849 |
3,148 |
870 |
397 |
4,415 |
37,892 |
7,589 |
2,419 |
47,900 |
41,743 |
11 |
3 |
13 |
5 |
99 |
6 |
1 |
yes |
Herstmonceux |
7840 |
2,795 |
985 |
454 |
4,234 |
38,818 |
12,093 |
2,556 |
53,467 |
49,520 |
18 |
2 |
11 |
1 |
99 |
1 |
1 |
yes |
McDonald |
7080 |
2,149 |
714 |
671 |
3,534 |
28,731 |
6,191 |
2,576 |
37,498 |
34,384 |
12 |
3 |
13 |
2 |
99 |
1 |
1 |
yes |
Changchun |
7237 |
2,532 |
509 |
323 |
3,364 |
41,783 |
4,905 |
2,348 |
49,036 |
35,266 |
15 |
6 |
21 |
8 |
98 |
1 |
1 |
yes |
Zimmerwald |
7810 |
2,187 |
685 |
266 |
3,138 |
35,267 |
9,091 |
2,191 |
46,549 |
41,059 |
19 |
3 |
11 |
5 |
99 |
2 |
1 |
yes |
Hartebeesthoek |
7501 |
1,679 |
559 |
329 |
2,567 |
21,756 |
7,265 |
2,783 |
31,804 |
36,434 |
10 |
2 |
13 |
7 |
99 |
3 |
1 |
yes |
Arequipa |
7403 |
1,619 |
257 |
0 |
1,876 |
24,779 |
2,553 |
0 |
27,332 |
13,608 |
7 |
3 |
17 |
5 |
99 |
3 |
1 |
yes |
Riyadh |
7832 |
1,067 |
501 |
178 |
1,746 |
20,380 |
6,889 |
1,511 |
28,780 |
28,318 |
17 |
3 |
18 |
3 |
96 |
5 |
0 |
yes |
Simosato |
7838 |
1,290 |
280 |
107 |
1,677 |
26,348 |
3,243 |
670 |
30,261 |
18,795 |
33 |
6 |
21 |
13 |
95 |
0 |
0 |
yes |
San
Fernando |
7824 |
1,402 |
215 |
0 |
1,617 |
22,477 |
1,341 |
0 |
23,818 |
10,105 |
18 |
4 |
38 |
80 |
24 |
2 |
1 |
yes |
Shanghai |
7837 |
1,201 |
279 |
117 |
1,597 |
17,264 |
2,498 |
750 |
20,512 |
14,623 |
16 |
6 |
29 |
14 |
89 |
2 |
1 |
yes |
Potsdam |
7836 |
1,276 |
252 |
31 |
1,559 |
19,065 |
2,229 |
145 |
21,439 |
10,764 |
17 |
6 |
17 |
8 |
96 |
7 |
1 |
yes |
Haleakala |
7210 |
946 |
280 |
280 |
1,506 |
11,889 |
2,932 |
1,706 |
16,527 |
18,301 |
10 |
5 |
13 |
7 |
97 |
1 |
1 |
yes |
Wettzell |
8834 |
896 |
382 |
138 |
1,416 |
14,822 |
3,853 |
760 |
19,435 |
16,633 |
21 |
3 |
22 |
7 |
100 |
3 |
1 |
yes |
Beijing |
7249 |
1,130 |
194 |
50 |
1,374 |
15,663 |
1,700 |
300 |
17,663 |
10,219 |
12 |
21 |
37 |
36 |
55 |
8 |
1 |
yes |
Kunming |
7820 |
671 |
258 |
124 |
1,053 |
10,153 |
2,187 |
730 |
13,070 |
11,501 |
36 |
6 |
37 |
29 |
65 |
2 |
0 |
yes |
Grasse
(LLR) |
7845 |
15 |
387 |
574 |
976 |
290 |
6,698 |
3,134 |
10,122 |
29,139 |
22 |
3 |
11 |
8 |
97 |
1 |
1 |
yes |
Riga |
1884 |
769 |
135 |
0 |
904 |
15,935 |
1,524 |
0 |
17,459 |
7,347 |
14 |
5 |
20 |
15 |
91 |
2 |
1 |
yes |
Borowiec |
7811 |
443 |
247 |
19 |
709 |
7,748 |
2,868 |
71 |
10,687 |
8,432 |
28 |
8 |
18 |
13 |
94 |
3 |
1 |
yes |
Tateyama |
7339 |
460 |
79 |
27 |
566 |
5,539 |
517 |
130 |
6,186 |
3,692 |
13 |
3 |
19 |
15 |
91 |
2 |
1 |
yes |
Metsahovi |
7806 |
432 |
97 |
15 |
544 |
9,072 |
1,328 |
88 |
10,488 |
5,694 |
21 |
8 |
23 |
12 |
93 |
2 |
1 |
yes |
Simeiz |
1873 |
435 |
92 |
1 |
528 |
5,073 |
556 |
4 |
5,633 |
2,711 |
71 |
21 |
42 |
|
33 |
15 |
0 |
yes |
Golosiiv |
1824 |
349 |
100 |
0 |
449 |
5,153 |
627 |
0 |
5,780 |
2,856 |
78 |
14 |
88 |
|
32 |
19 |
1 |
yes |
Katsively |
1893 |
230 |
90 |
13 |
333 |
3,939 |
782 |
70 |
4,791 |
3,206 |
65 |
13 |
23 |
|
93 |
17 |
0 |
yes |
Mendeleevo |
1870 |
249 |
0 |
0 |
249 |
2,261 |
0 |
0 |
2,261 |
711 |
|
|
|
|
|
40 |
1 |
no |
Matera
(MLRO) |
7941 |
112 |
107 |
27 |
246 |
2,048 |
1,235 |
172 |
3,455 |
4,079 |
6 |
2 |
14 |
|
99 |
207 |
1 |
yes |
Tahiti |
7124 |
207 |
34 |
0 |
241 |
2,996 |
307 |
0 |
3,303 |
1,728 |
8 |
4 |
15 |
|
94 |
|
1 |
yes |
Lhasa |
7356 |
102 |
117 |
12 |
231 |
1,503 |
1,410 |
51 |
2,964 |
3,610 |
31 |
8 |
24 |
|
85 |
13 |
1 |
yes |
Helwan |
7831 |
140 |
0 |
0 |
140 |
1,384 |
0 |
0 |
1,384 |
457 |
|
|
|
|
|
11 |
0 |
yes |
Komsomolsk |
1868 |
63 |
20 |
14 |
97 |
884 |
130 |
54 |
1,068 |
829 |
142 |
32 |
27 |
|
58 |
156 |
1 |
no |
Kashima |
7335 |
73 |
12 |
6 |
91 |
982 |
130 |
30 |
1,142 |
788 |
|
|
|
|
|
|
|
yes |
Cagliari |
7548 |
74 |
7 |
0 |
81 |
1,205 |
48 |
0 |
1,253 |
572 |
|
|
|
|
|
23 |
0 |
yes |
Urumqi |
7355 |
31 |
44 |
2 |
77 |
466 |
606 |
15 |
1,087 |
1,409 |
|
|
|
|
|
|
|
yes |
Maidanak
2 |
1864 |
12 |
13 |
18 |
43 |
142 |
108 |
60 |
310 |
571 |
91 |
12 |
29 |
|
36 |
60 |
1 |
no |
Maidanak
1 |
1863 |
16 |
15 |
5 |
36 |
202 |
99 |
33 |
334 |
430 |
|
|
|
|
0 |
120 |
1 |
no |
Wuhan |
7231 |
6 |
3 |
0 |
9 |
80 |
34 |
0 |
114 |
101 |
|
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|
|
|
|
|
yes |
Totals |
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50,303 |
13,298 |
7,285 |
70,886 |
843,616 |
149,165 |
49,828 |
1,042,609 |
823,530 |
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Responsible Government Official:
NASA's
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