International Laser Ranging Service

SLR Global Performance Report Card

July 1, 2002 through June 30, 2003

In addition to the report card are the following graphs. Performance Graphs (.gif) are in the .zip file. 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 (July 2002 - June 2003) by passes, normal points,or minutes of data
• LEO Satellite Data Volume (July 2002 - June 2003) by passes or normal points
• LAGEOS Data Volume (July 2002 - June 2003) by passes or normal points
• High Satellite Data Volume (July 2002 - June 2003) by passes or normal points
• Single Shot RMS's [calibration, LAGEOS, ERS]  (2nd Quarter 2003)
• ERS RMS [calibration, satellite] (2nd Quarter 2003)
• LAGEOS RMS [calibration, satellite] (2nd Quarter 2003)
• LAGEOS Normal Point RMS (2nd Quarter 2003)
• Short Term Bias Stability (2nd Quarter 2003)
• Long Term Bias Stability (July 2002 - June 2003)
• Percentage of Good LAGEOS NP (2nd Quarter 2003)
• Data Latency (2nd Quarter 2003)

The performance report card is divided into two tables for readability. Table 1 contains performance parameters based on data volume, on-site processing statistics and operational compliance issues. Table 2 contains performance parameters based on CSR and MCC orbital analysis results.

Below are the detailed descriptions of each column in Table 1:

• 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 calibration RMS, in millimeters, during the last quarter.
• Column 13 is the average single-shot ERS RMS, in millimeters, during the last quarter.
• Column 14 is the average single-shot LAGEOS RMS, in millimeters, during the last quarter.
• Column 15 is the median data latency, in hours, to the data centers, during the last quarter.
• Column 16 is the ILRS normal point format revision number used within the last quarter.
• Column 17 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 each table is for the performance baseline goal. Note: There are no baseline goals for NP data quantities, single shot RMS's.

Additional Notes: Blanks in any columns implies 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 passes.

Table 1

Site Information		Data Volume									Data Quality			Operational Compliance
Column 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17
Location	Station Number	LEO Totals	LAGEOS Tot	High Tot	Total passes	LEO NP Total	LAGEOS NP Total	High NP Total	Total NP	Minutes of Track	Cal. RMS	ERS RMS	LAG RMS	Data Latency (hours)	Format Revision	Site logs
Baseline		1000	400	100	1500
Yarragadee	7090	7692	1321	834	9847	144092	15161	6880	166133	107131	3.9	7.6	9.1	3	1	yes
Monument Peak	7110	6082	1065	435	7582	107926	11071	3390	122387	71832	5.2	8.5	8.4	3	1	yes
Graz	7839	5801	882	439	7122	115232	11364	4074	130670	76145	3.4	3.3	8.5	12	1	yes
Greenbelt	7105	4740	578	185	5503	85768	5614	1253	92635	43590	4.3	6.7	9.4	3	1	yes
Herstmonceux	7840	4086	930	442	5458	57497	11602	2206	71305	51528	8.8	11.5	16.6	2	1	yes
Riyadh	7832	3269	912	437	4618	47695	9462	3027	60184	49600	7.8	9.4	13.8	4	0	yes
Zimmerwald	7810	3442	780	272	4494	55320	10756	1973	68049	48427	11.7	12.0	15.1	2	1	yes
Changchun	7237	3331	651	381	4363	50423	6252	2944	59619	42781	12.4	13.3	15.9	4	1	yes
Haleakala	7210	3218	731	358	4307	49521	7102	2487	59110	41607	4.5	8.2	8.5	2	1	yes
Hartebeesthoek	7501	3076	877	299	4252	45229	10292	2885	58406	49873	4.3	7.2	9.3	3	1	yes
McDonald	7080	2467	701	451	3619	29731	5858	1671	37260	29291	9.4	11.7	11.7	2	1	yes
Wettzell (MCP/APD)	8834	2334	662	208	3204	34706	6303	1118	42127	29892	3.9 (14.2)	7.6	10.2 (21.0)	2	1	yes
Mt. Stromlo	7849	1758	403	107	2268	18489	2990	664	22143	15935						yes
San Fernando	7824	1832	310	0	2142	25726	1983	0	27709	12055	7.5	8.1	13.2	2	1	yes
Simosato	7838	1605	239	62	1906	30681	2145	432	33258	16050	19.9	25.6	29.5	1	0	yes
Grasse	7835	1604	222	0	1826	33108	2416	0	35524	13842	5.4	9.0	17.1	9	1	yes
Arequipa	7403	1671	126	0	1797	23218	1064	0	24282	9504	6.4	8.5	8.7	2	1	yes
Shanghai	7837	1509	199	14	1722	20691	1625	77	22393	10168	7.8	12.0	18.7	6	1	yes
Potsdam	7836	1383	192	24	1599	21187	1701	117	23005	9447	8.7	11.1	15.6	6	1	yes
Riga	1884	1325	113	0	1438	28116	1318	0	29434	9600	13.8	9.0	12.0	3	1	yes
Beijing	7249	1294	121	13	1428	18659	566	85	19310	7460	13.5	37.3	23.7	3	1	yes
Tahiti	7124	1023	113	4	1140	15662	982	17	16661	6853	4.6	10.5	10.6	3	1	yes
Matera (MLRO)	7941	622	209	84	915	9340	2358	644	12342	10924	1.6	4.2	6.0	4	1	yes
Chania	7830	811	47	0	858	12948	343	0	13291	4500	6.0	8.5	18.1	15	1	yes
Golosiiv	1824	784	58	0	842	9926	287	0	10213	3409	57.6	76.1	71.8	14	1	yes
Borowiec	7811	688	145	1	834	11343	1626	2	12971	6509	11.7	14.1	20.5	2	1	yes
Metsahovi2	7806	632	80	1	713	10095	525	5	10625	3811	9.6	13.0		2	1	yes
Concepcion (blue/IR)	7405	392	199	64	655	3983	1580	266	5829	6036	6.9 (13.5)	11.4 (58.6)	14.8 (46.3)	16	1	yes
Simeiz	1873	504	58	11	573	5220	341	119	5680	2774		53.1	63.7	14	0	yes
Grasse (LLR)	7845	0	163	295	458	0	2858	2124	4982	16336	7.0		20.2	5	1	yes
Potsdam3	7841	321	76	25	422	6763	1192	234	8189	5194	9.1	6.0	8.7	4	1	yes
Koganei (CRL)	7308	295	84	6	385	3753	639	26	4418	2735	26.2	55.9	57.9	8	1	yes
Urumqi	7355	273	52	10	335	3852	646	48	4546	2707	16.0	24.0	30.0	7	1	yes
Maidanak1	1864	99	143	59	301	1113	1153	236	2502	3853		49.0	73.4	21	1	no
Maidanak2	1863	119	125	17	261	1324	1197	91	2612	3290			46.2	19	1	no
Lviv	1831	172	16	0	188	2552	151	0	2703	1119	15.0	38.1		2	1	yes
Katsively	1893	131	27	5	163	1797	190	16	2003	1043						yes
Ajaccio	7848	152	9	0	161	2292	66	0	2358	805						yes
Mendeleevo	1870	149	0	0	149	1231	0	0	1231	380				16	1	yes
Wuhan	7231	99	24	0	123	1791	272	0	2063	1087	10.9	24.0	19.0	4	1	yes
Kunming	7820	37	0	0	37	439	0	0	439	171						yes
Komsomolsk	1868	11	7	2	20	105	45	11	161	176			71.5	114	1	no

 

 

Below are the detailed descriptions of each column in Table 2:

• Column 1 is the station location name.
• Column 2 is the monument marker number.
• Column 3 is the average LAGEOS normal point RMS, in millimeters, during the last quarter, based on CSR Weekly LAGEOS analysis.
• Column 4 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. (minimum number of passes in quarter is 10)
• Column 5 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 6 is the percentage of LAGEOS normal points that were accepted in CSR weekly LAGEOS analysis.
• Column 7 is the average LAGEOS normal point RMS, in millimeters, during the last quarter, based on MCC Weekly LAGEOS analysis.
• Column 8 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 MCC Weekly LAGEOS analysis. (minimum number of passes in quarter is 10)
• Column 9 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 MCC 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 10 is the percentage of LAGEOS normal points that were accepted in MCC weekly LAGEOS analysis.
• Column 11 is the average LAGEOS normal point RMS, in millimeters, during the last quarter, based on Delft Weekly LAGEOS analysis.
• Column 12 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 Delft Weekly LAGEOS analysis. (minimum number of passes in quarter is 10)
• Column 13 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 Delft 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 14 is the percentage of LAGEOS normal points that were accepted in Delft weekly LAGEOS analysis.
• Column 15 is the average LAGEOS normal point RMS, in millimeters, during the last quarter, based on CRL Weekly LAGEOS analysis.
• Column 16 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 CRL Weekly LAGEOS analysis. (minimum number of passes in quarter is 10)
• Column 17 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 CRL 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 18 is the percentage of LAGEOS normal points that were accepted in CRL weekly LAGEOS analysis.

The first entry in each table is for the performance baseline goal.

Additional Notes: Blanks in any columns implies 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.

 

Table 2

Site Information		CSR Orbital Analysis				MCC Orbital Analysis				Delft Orbital Analysis				CRL Orbital Analysis
Column 1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18
Location	Station Number	NP RMS	Short Term (mm)	Long Term (mm)	% of good LAGEOS NP	NP RMS	Short Term (mm)	Long Term (mm)	% of good LAGEOS NP	NP RMS	Short Term (mm)	Long Term (mm)	% of good LAGEOS NP	NP RMS	Short Term (mm)	Long Term (mm)	% of good LAGEOS NP
Baseline		10.0	20.0	20.0	95.0	10.0	20.0	20.0	95.0	10.0	20.0	20.0	95.0	10.0	20.0	20.0	95.0
Yarragadee	7090	2.1	13.2	1.6	95.4	2.4	11.7	1.4	93.2	2.4	14.8	2.7	94.2	1.7	14.0	3.1	92.0
Monument Peak	7110	2.0	11.9	3.5	97.7	2.0	12.3	4.0	91.1	2.3	14.7	3.2	97.1	1.7	16.3	1.8	94.1
Graz	7839	1.8	10.7	3.7	99.1	2.0	7.2	2.8	93.8	1.9	11.0	2.5	99.1	1.6	9.3	2.7	99.1
Greenbelt	7105	3.1	11.9	5.6	97.1	2.8	10.6	4.4	91.7	3.0	12.1	5.0	94.5	2.9	17.7	4.3	93.1
Herstmonceux	7840	2.2	10.5	2.4	99.7	2.3	6.4	1.4	92.4	2.5	11.1	2.8	98.9	1.9	9.1	2.2	99.1
Riyadh	7832	2.0	20.7	4.4	96.8	2.2	12.2	4.4	92.7	2.4	14.5	0.9	99.6	1.8	19.4	6.5	99.5
Zimmerwald	7810	2.2	10.9	2.4	99.3	3.0	10.6	3.8	89.0	2.6	14.4	3.6	98.8	1.9	11.1	3.6	99.1
Changchun	7237	7.2	17.0	5.5	90.0	4.5	17.5	21.2	76.0	8.2	15.0	5.4	89.6	7.3	19.2	5.7	91.3
Haleakala	7210	3.3	16.5	5.3	97.6	3.2	13.7	4.5	89.4	3.6	20.5	6.0	96.3	2.9	18.6	4.0	93.8
Hartebeesthoek	7501	1.7	14.8	3.9	98.1	1.9	14.6	2.7	93.7	1.7	14.2	7.0	97.7	1.4	19.7	7.0	91.7
McDonald	7080	1.9	13.1	2.7	98.3	2.0	10.1	1.8	95.2	1.8	15.1	3.9	94.3	1.8	15.7	3.0	94.2
Wettzell	8834	3.5	21.5	6.1	95.3	3.4	15.3	4.4	89.6	4.2	20.7	6.4	95.4	2.8	19.3	6.5	94.4
San Fernando	7824	2.5	21.5	14.5	88.9	2.6	19.0	13.8	91.7	2.7	21.2	12.2	77.8	2.2	22.8	15.5	81.3
Simosato	7838	6.7	15.2	11.9	100.0	3.7	24.3	10.6	78.8	7.2	18.6	15.0	100.0	7.3	24.2	25.0	100.0
Grasse	7835	1.9	10.1	5.8	93.9	2.2	9.2	3.8	97.5	2.1	11.9	6.1	93.9	2.2	8.8	4.0	93.8
Arequipa	7403	3.0	29.3		87.7	3.0	14.1		87.1	2.8	18.0		95.2	2.7	27.0		90.4
Shanghai	7837	7.5	16.3	10.7	92.8	4.4	14.9	8.6	85.6	8.2	15.6	7.5	93.8	8.5	18.6	6.0	90.7
Potsdam	7836	4.7	20.8	11.3	93.7	3.1	12.6	3.3	83.6	5.7	12.1	5.0	92.0	5.7	10.0	5.2	93.7
Riga	1884	3.9	23.1	13.3	97.4	4.0	15.4	10.3	87.9	5.0	16.8	11.0	98.5	3.7	12.3	13.8	98.5
Beijing	7249	9.3	32.5	14.6	27.3	8.0	40.9	13.4	70.3	13.6	21.4	5.5	83.3	9.7	18.0	39.7	62.5
Tahiti	7124	3.0	23.2		94.9	2.1	17.7		85.8	2.5	17.6		84.4	3.2	20.0		83.9
Matera (MLRO)	7941	1.9	12.4		96.5	1.8	10.3		94.3	2.1	13.5		95.6	2.1	14.9		94.4
Chania	7830									5.9	13.4		88.3
Golosiiv	1824	6.0	57.6		27.2					26.7	9.2		14.1				0.0
Borowiec	7811	4.8	13.1	24.2	100.0	3.5	9.2	15.5	86.9	5.3	11.4	19.5	98.8	4.6	7.3	19.3	98.8
Metsahovi2	7806	6.0	11.8		98.8	3.9	10.5		91.4	5.8	13.9		69.4	6.1	14.6		70.2
Concepcion	7405	2.1	23.5	11.4	72.9					2.2	14.6	4.0	71.0	2.1	21.5	10.2	89.0
Simeiz	1873				5.4	41.3	45.1		83.4				10.7				8.0
Grasse (LLR)	7845	3.2	10.0	4.5	95.8	3.4	13.2	5.6	91.3	5.0	14.0	2.3	99.4	3.4	10.9	4.1	97.6
Potsdam3	7841	2.6	14.6		98.7	2.3	7.5		93.7	3.5	6.7		100.0	2.0	10.9		100.0
Koganei (CRL)	7308	7.2	34.6		65.0					8.5	24.6		100.0	11.5	42.4		100.0
Urumqi	7355	8.5	19.2		86.9					9.5	16.2		85.6	9.8	29.4		91.6
Maidanak1	1864	9.7	38.7	44.2	7.4	10.0	23.1	35.2	74.0	15.3	20.5	22.9	86.4	12.9	28.3	41.9	91.4
Maidanak2	1863	8.3	12.2	19.6	100.0	5.9	16.7	28.7	82.3	9.1	14.8	2.7	100.0	8.1	16.1	8.1	100.0
Wuhan	7231				34.2	3.0	29.2		78.7				34.2				34.2