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.

Total Data Volume (October 2000 - September 2001) by passes, normal points,or minutes of data
LEO Satellite Data Volume (October 2000 - September 2001) by passes or normal points
LAGEOS Data Volume (October 2000 - September 2001) by passes or normal points
High Satellite Data Volume (October 2000 - September 2001) by passes or normal points
LAGEOS Single Shot RMS (2nd Quarter 2001)
LAGEOS Normal Point RMS (2nd Quarter 2001)
Short Term Bias Stability (2nd Quarter 2001)
Long Term Bias Stability (October 2000 - September 2001)
Percentage of Good LAGEOS NP (2nd Quarter 2001)
Data Latency (2nd Quarter 2001)

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	3794	1093	1100	5987	65,003	13,641	9611	88,255	96,063	10	2	13	2	98	2	1	yes
Monument Peak	7110	4453	909	481	5843	72,578	9325	3310	85,213	54,158	10	2	10	3	98	3	1	yes
Greenbelt	7105	4184	920	425	5529	75,560	10,599	2709	88,868	55,829	11	3	10	2	99	3	1	yes
Mt. Stromlo	7849	3552	1075	502	5129	43,528	9988	3032	56,548	51,793	11	4	13	5	99	3	1	yes
Graz	7839	3074	583	567	4224	71,091	8520	4606	84,217	59,078	8	2	10	3	99	5	1	yes
Grasse	7835	3347	691	82	4120	72,826	7766	650	81,242	37,806	24	2	10	5	99	2	1	yes
Herstmonceux	7840	2692	912	469	4073	37,878	11,379	2476	51,733	46,594	16	2	10	1	100	3	1	yes
McDonald	7080	2244	710	637	3591	30,745	6142	2625	39,512	32,516	13	3	13	3	99	2	1	yes
Changchun	7237	2250	491	238	2979	35,630	4405	1682	41,717	27,382	16	7	19	7	97	2	1	yes
Zimmerwald	7810	1971	533	196	2700	30,860	6746	1614	39,220	30,805	22	3	11	6	99	3	1	yes
Hartebeesthoek	7501	1509	516	267	2292	19,358	6603	2453	28,414	32,353	10	2	15	9	98	3	1	yes
Potsdam	7836	1478	311	38	1827	22,031	2845	176	25,052	12,957	16	5	16	7	98	9	1	yes
San Fernando	7824	1577	241	0	1818	26,789	1548	0	28,337	10,398	54	15	54	12	54	2	1	yes
Arequipa	7403	1486	254	0	1740	22,692	2566	0	25,258	12,096	7	2	16	5	97	2	1	yes
Simosato	7838	1240	297	63	1600	24,675	3106	407	28,188	14,940	32	7	20	15	93	1	0	yes
Beijing	7249	1261	244	65	1570	17,078	2047	370	19,495	10,954	18	13	46	37	71	10	1	yes
Shanghai	7837	1057	283	134	1474	14,953	2620	801	18,374	13,299	18	6	27	13	92	12	1	yes
Haleakala	7210	877	251	219	1347	11,174	2577	1509	15,260	15,777	12	4	13	8	97	2	1	yes
Kunming	7820	817	357	137	1311	12,084	3286	822	16,192	13,975						3	0	yes
Riyadh	7832	738	281	113	1132	14,387	3877	984	19,248	16,730	21	4	21	4	92	3	0	yes
Wettzell	8834	571	293	133	997	8166	2809	724	11,699	11,805	24	4	23	9	95	3	1	yes
Tateyama	7339	693	150	71	914	9018	1170	336	10,524	6571	13	3	23	16	74	6	1	yes
Riga	1884	719	138	0	857	14,164	1528	0	15,692	6867	15	6	21	20	98	3	1	yes
Grasse (LLR)	7845	0	334	474	808	0	5466	3001	8467	25,937	24	4	12	7	97	2	1	yes
Borowiec	7811	440	262	14	716	7552	3048	51	10,651	8539	27	7	17	11	93	2	1	yes
Simeiz	1873	450	100	3	553	5208	626	12	5846	2773	68	26	40		37	13	0	yes
Tahiti	7124	373	93	0	466	5339	963	0	6302	3960								yes
Metsahovi2	7806	363	83	15	461	7774	1181	84	9039	4963	27	7	27	7	91	4	1	yes
Golosiiv	1824	308	95	0	403	4508	605	0	5113	2483	80	16	42		32	7	1	yes
Kashima	7335	244	51	23	318	3276	438	105	3819	2470								yes
Katsively	1893	204	82	18	304	3499	699	101	4299	2923	55	11	26	7	67	17	0	yes
Mendeleevo	1870	238	0	0	238	2014	0	0	2014	629						16	1	no
Helwan	7831	170	8	0	178	1803	42	0	1845	618						11	0	yes
MLRO	7941	82	65	17	164	1596	684	102	2382	2447	5	2	12		94	1107	1	yes
Maidanak 2	1864	98	24	24	146	1234	150	78	1462	1052								no
Wuhan	7231	90	29	17	136	1460	310	145	1915	1714	23	14	37		38	3	1	yes
Lhasa (TROS)	7356	62	46	10	118	924	603	46	1573	1749	28	9	31		74	3	1	yes
Beijing (TROS)	7343	66	22	15	103	1197	321	112	1630	1564								yes
Urumqi (TROS)	7355	31	44	2	77	466	606	15	1087	1403								yes
Matera	7939	54	11	0	65	983	115	0	1098	537								yes
Komsomolsk	1868	39	16	6	61	532	104	24	660	477	168	21	61		47	317	1	no
Cagliari	7548	28	4	0	32	483	29	0	512	243	45	8			0	13	0	yes
Maidanak 1	1863	6	8	0	14	93	64	0	157	155					0	120	1	no
Koganei	7328	10	0	0	10	89	0	0	89	23								yes
Totals		48,940	12,910	6575	68,425	802,298	141,147	44,773	988,218	737,403

Responsible Government Official: Carey Noll
NASA's Privacy Policy and Important Notices

Send us your comments