International Laser Ranging Service

SLR Global Performance Report Card

October 1, 2001 through September 30, 2002

Revised December 18, 2002 to fix some bookkeeping errors

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.

• Total Data Volume (October 2001 - September 2002) by passes, normal points,or minutes of data
• LEO Satellite Data Volume (October 2001 - September 2002) by passes or normal points
• LAGEOS Data Volume (October 2001 - September 2002) by passes or normal points
• High Satellite Data Volume (October 2001 - September 2002) by passes or normal points
• Single Shot RMS's [calibration, LAGEOS, ERS]  (3rd Quarter 2002)
• ERS RMS [calibration, satellite] (3rd Quarter 2002)
• LAGEOS RMS [calibration, satellite] (3rd Quarter 2002)
• LAGEOS Normal Point RMS (3rd Quarter 2002)
• Short Term Bias Stability (3rd Quarter 2002)
• Long Term Bias Stability (October 2001 - September 2002)
• Percentage of Good LAGEOS NP (3rd Quarter 2002)
• Data Latency (3rd Quarter 2002)

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

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 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.

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									12	1	yes
Yarragadee	7090	5591	1416	1003	8010	96696	16525	9304	122525	105617	4.1	7.5	9.6	2	1	yes
Monument Peak	7110	5824	975	540	7339	96389	10299	4405	111093	73746	5.0	7.0	7.5	3	1	yes
Greenbelt	7105	5377	824	270	6471	97664	8916	2385	108965	61306	4.9	8.8	10.4	3	1	yes
Graz	7839	4740	838	404	5982	93099	11452	3393	107944	68314	3.3	3.8	8.4	13	1	yes
Herstmonceux	7840	3833	1010	444	5287	49918	12760	2374	65052	53135	8.9	11.2	16.4	2	1	yes
Zimmerwald	7810	2999	869	284	4152	44637	11496	2222	58355	49127	21.4	20.9	25.2	1	1	yes
Hartebeesthoek	7501	2532	762	313	3607	34939	9245	3084	47268	46091	4.5	7.0	9.4	3	1	yes
Mt. Stromlo	7849	2473	726	306	3505	28491	6296	1689	36476	31791	3.5	4.8	10.8	3	1	yes
Changchun	7237	2747	482	209	3438	41811	4885	1633	48329	31725	12.6	13.2	16.0	3	1	yes
McDonald	7080	2007	643	454	3104	23607	5058	1677	30342	26052	9.9	12.7	11.6	1	1	yes
Grasse	7835	2657	380	57	3094	56815	4578	414	61807	27828	6.2	8.7	16.9	2	1	yes
Riyadh	7832	1926	744	268	2938	30412	9208	1960	41580	38672	9.3	9.9	14.7	13	0	yes
Wettzell	8834	2181	578	174	2933	30246	4869	756	35871	24055	4.6	11.8	21.3	2	1	yes
San Fernando	7824	2404	349	0	2753	32647	2067	0	34714	14440	7.2	16.4	18.7	2	1	yes
Arequipa	7403	1826	190	0	2016	25955	1715	0	27670	12030	5.3	7.6	7.5	2	1	yes
Haleakala	7210	1339	296	145	1780	16259	2810	1037	20106	16012	5.2	7.7	8.8	2	1	yes
Simosato	7838	1447	218	99	1764	28949	2793	666	32408	18785	17.0	29.3	27.4	1	0	yes
Ajaccio	7848	1549	85		1634	22646	659	0	23305	8444	5.9	9.0	18.9	16	1	yes
Riga	1884	1359	179	0	1538	28420	2256	0	30676	11952	8.8	10.4	12.1	2	1	yes
Potsdam	7836	1262	196	24	1482	18753	1910	105	20768	9653	9.4	11.8	15.2	4	1	yes
Shanghai	7837	1233	144	54	1431	17515	1194	348	19057	9917	10.4	13.1	17.7	2	1	yes
Beijing	7249	1081	124	9	1214	14900	868	61	15829	7044	15.1	118.1	22.5	4	1	yes
Tahiti	7124	658	151	0	809	10274	1632	0	11906	6781	4.4	7.6	10.1	3	1	yes
Metsahovi2	7806	637	102	6	745	12722	1043	21	13786	5787	8.6	14.4	17.9	2	1	yes
Kunming	7820	505	132	55	692	6996	979	272	8247	5808				12	0	yes
Simeiz	1873	555	59	0	614	6424	361	0	6785	2528		54.6		11	0	yes
Grasse (LLR)	7845	0	167	347	514	0	2854	5650	8504	18093	7.2		19.4	1	1	yes
Matera (MLRO)	7941	205	137	57	399	2718	1587	341	4646	5832	1.9		4.6	29	1	yes
Katsively	1893	261	72	10	343	4081	537	46	4664	2669	46.1	52.4	53.0	5	0	yes
Borowiec	7811	232	93	8	333	3522	972	34	4528	3262	13.2	16.9	20.4	1	1	yes
Maidanak 2	1864	120	94	45	259	1222	653	161	2036	2564			84.5	61	1	no
Tateyama	7339	221	13	0	234	660	107	0	767	469						yes
Mendeleevo	1870	221	0	0	221	2124	0	0	2124	687		289.9		18	1	yes
Concepcion	7405	106	79	33	218	1294	683	165	2142	2692	11.4	17.7	23.2	5	1	yes
Maidanak 1	1863	129	69	9	207	1190	519	43	1752	1703			56.1	48	1	no
Lhasa	7356	120	71	2	193	579	807	0	1386	1809						yes
Golosiiv	1824	157	18	0	175	2247	91	0	2338	924	73.9	108.1	127.8	15	1	yes
Cagliari	7548	133	13	0	146	2100	66	0	2166	972						yes
Komsomolsk	1868	95	24	14	133	1194	168	43	1405	967				49	1	no
Lviv	1831	0	14	0	14	0	165	0	165	330	14.2		40.3		1	yes

 

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.

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

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.

 

Table 2

Site Information		CSR Orbital Analysis				MCC Orbital Analysis
Column 1	2	3	4	5	6	7	8	9	10
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
Baseline		10.0	20.0	20.0	95.0	10.0	20.0	20.0	95.0
Yarragadee	7090	2.1	10.2	2.2	99.2	2.4	10.8	2.0	97.8
Monument Peak	7110	2.0	12.5	3.2	99.2	2.1	11.9	2.3	97.5
Greenbelt	7105	2.3	10.2	4.4	98.7	2.4	11.1	2.4	96.8
Graz	7839	1.8	9.6	2.0	99.5	2.3	8.1	2.0	98.8
Herstmonceux	7840	2.2	10.4	2.6	99.6	2.8	7.6	1.9	97.8
Grasse	7835	2.0	12.3	3.0	97.7	2.4	10.3	1.8	97.0
Zimmerwald	7810	3.9	8.3	3.0	99.4	4.0	11.4	2.3	89.2
Mt. Stromlo	7849	2.9	12.3	4.8	99.7	2.9	9.8	3.0	97.1
Hartebeesthoek	7501	1.7	14.1	3.5	98.2	2.2	14.9	1.8	98.8
McDonald	7080	2.2	13.3	3.9	99.6	2.4	10.7	3.4	98.6
Changchun	7237	8.2	21.1	12.3	92.9	5.1	27.9	12.4	76.0
Wettzell	8834	3.8	20.0	4.5	96.6	3.6	16.0	5.5	93.0
Riyadh	7832	2.3	15.6	2.1	98.7	2.6	9.2	6.4	98.7
San Fernando	7824	3.8	18.2	6.7	86.4	3.7	19.5	7.8	94.3
Arequipa	7403	2.3	15.7	5.3	92.2	2.4	17.5		98.8
Simosato	7838	5.7	32.1	15.0	66.1	4.3	29.4	11.2	82.9
Haleakala	7210	3.2	15.2	5.6	98.5	3.3	15.1	9.0	94.6
Potsdam	7836	5.0	19.9	9.8	96.2	4.0	9.7	5.3	89.3
Ajaccio	7848	3.6	8.5		98.5	4.5	11.2		97.0
Shanghai	7837	6.7	22.2	8.8	97.5	5.6	13.7	10.0	83.6
Beijing	7249	6.7	24.9	18.4	56.4	4.0	39.6	25.1	79.2
Riga	1884	3.1	23.3	15.9	96.9	3.6	14.1	11.5	96.2
Metsahovi2	7806	5.8	10.9	15.7	96.0	4.8	11.3	10.3	82.0
Tahiti	7124	2.5	12.0	5.7	99.1	2.3	12.0	4.2	97.5
Grasse (LLR)	7845	2.8	10.2	4.8	99.4	3.3	9.4	4.9	96.9
Matera	7941	1.2		3.6
Borowiec	7811	5.1	14.0	21.6	48.1	4.2	17.3	11.3	88.3
Katsively	1893	12.6	33.5		82.1	7.4	27.5		73.4
Maidanak 2	1864	13.3	27.4		46.3	8.4	28.4		77.5
Concepcion	7405	2.8	15.0		99.1
Maidanak 1	1863	13.0	19.1		91.9	10.1	46.9		76.9