International Laser Ranging Service

SLR Monthly Global Performance Report Card

June 1, 2020 through May 31, 2021

The performance report card is divided into three tables for readability. Table 1 contains performance parameters based on data volume, on-site processing statistics and operational compliance issues. Tables L1 and L2 contain information about Lunar Laser Ranging during the past year. Table 2 contains performance parameters based on various Analysis Centers' rapid orbital analysis results.

A blank in any column in any of the tables implies either that there was no data or that there was insufficient data.

Below are the detailed descriptions of each column in Table 1 plots of the columns are linked in this description and 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 and LARES 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 and LARES 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 total tracking minutes (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 Starlette RMS, in millimeters, during the last quarter.
• Column 14 is the average single-shot LAGEOS RMS, in millimeters, during the last quarter.

The first entry in each table is for the performance baseline goal. Note: There are no baseline goals for NP data quantities, single shot RMSs.

Additional Notes: 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: Station performance parameters based on data volume, on-site processing statistics and operational compliance issues

Site Information		Data Volume									Data Quality
Column 1	2	3	4	5	6	7	8	9	10	11	12	13	14
Station Location	Station Number	LEO pass Tot	LAGEOS and LARES pass Tot	High pass Tot	Total passes	LEO NP Total	LAGEOS and LARES NP Total	High NP Total	Total NP	Minutes of Data	Cal. RMS	Star RMS	LAG RMS
Baseline		2300	600	3000	3500
Yarragadee	7090	18382.0	2877.0	7005.0	28264.0	298401.0	27857.0	33065.0	359323.0	286564	3.3	5.1	5.0
Changchun	7237	10280.0	1468.0	6093.0	17841.0	138232.0	11919.0	26317.0	176468.0	188380	6.5	9.1	10.7
Zimmerwald_532	7810	7747.0	1494.0	3227.0	12468.0	121343.0	15251.0	9640.0	146234.0	102634	7.4	10.3	14.2
Mount_Stromlo_2	7825	6992.0	1671.0	1343.0	10006.0	91885.0	13573.0	6022.0	111480.0	80107	3.1	4.6	7.5
Herstmonceux	7840	5652.0	1138.0	2637.0	9427.0	71849.0	13194.0	8470.0	93513.0	83536	3.8	9.2	12.5
Greenbelt	7105	6704.0	1090.0	1085.0	8879.0	123053.0	13983.0	4475.0	141511.0	71646	3.6	9.3	9.3
Potsdam_3	7841	4956.0	996.0	1945.0	7897.0	74383.0	8329.0	6819.0	89531.0	63356	1.5	5.7	8.0
Monument_Peak	7110	6241.0	643.0	583.0	7467.0	97877.0	5814.0	1321.0	105012.0	39121	2.9	6.6	8.4
Graz	7839	3607.0	732.0	3070.0	7409.0	70383.0	6194.0	12579.0	89156.0	91277	2.4	3.6	5.1
Matera_MLRO	7941	4324.0	1499.0	1214.0	7037.0	35753.0	12702.0	7628.0	56083.0	81435	1.1	3.0	3.5
Kunming	7819	2190.0	540.0	2855.0	5585.0	24999.0	2751.0	6941.0	34691.0	47859	5.3	12.4	12.2
Shanghai_2	7821	2233.0	537.0	2546.0	5316.0	17955.0	4694.0	11724.0	34373.0	76008	7.1	8.4	6.8
Beijing	7249	2578.0	545.0	1980.0	5103.0	22029.0	3097.0	6475.0	31601.0	43628	5.8	11.9	15.3
Arequipa	7403	4633.0	180.0	0	4813.0	42350.0	916.0	0	43266.0	13931	4.4	7.2	9.2
Wettzell_SOSW	7827	2106.0	532.0	1603.0	4241.0	17624.0	2884.0	3726.0	24234.0	28084	9.4	15.0	15.2
Wettzell	8834	2104.0	567.0	798.0	3469.0	27278.0	4603.0	3108.0	34989.0	29976	3.0	7.9	9.1
Haleakala	7119	2843.0	591.0	0	3434.0	43101.0	5539.0	0	48640.0	19977	2.5	6.6	8.6
Grasse_MEO	7845	468.0	782.0	1948.0	3198.0	4572.0	8228.0	13262.0	26062.0	89964	8.7	13.9	15.5
Hartebeesthoek_HARL	7501	2096.0	466.0	507.0	3069.0	29083.0	4263.0	2721.0	36067.0	28008	3.6	6.6	8.3
Simeiz	1873	2193.0	413.0	321.0	2927.0	21407.0	2592.0	1402.0	25401.0	15701	15.3	12.4	18.5
Wuhan	7396	1257.0	394.0	1156.0	2807.0	12075.0	2644.0	4701.0	19420.0	31682	7.9	10.0	6.6
Katzively	1893	2216.0	423.0	4.0	2643.0	27823.0	2876.0	21.0	30720.0	11761	25.0	43.8	29.5
Badary	1890	1460.0	487.0	340.0	2287.0	12503.0	2574.0	971.0	16048.0	12202		36.1	32.4
Simosato	7838	1684.0	495.0	24.0	2203.0	15664.0	4491.0	153.0	20308.0	13070	5.6	5.9	13.2
Altay	1879	58.0	334.0	1758.0	2150.0	488.0	2165.0	5495.0	8148.0	31129			28.1
Arkhyz	1886	499.0	358.0	1079.0	1936.0	3287.0	2053.0	4433.0	9773.0	26486		34.4	27.6
Hartebeesthoek_HRTL	7503	1041.0	314.0	497.0	1852.0	9512.0	1631.0	1981.0	13124.0	16215	28.5	25.6	25.9
Svetloe	1888	1144.0	409.0	292.0	1845.0	8843.0	2415.0	763.0	12021.0	10098		23.5	28.6
Irkutsk	1891	884.0	208.0	385.0	1477.0	4914.0	1044.0	851.0	6809.0	7392	38.9	26.9	31.2
Tahiti	7124	1024.0	163.0	71.0	1258.0	14296.0	1378.0	348.0	16022.0	7746	3.0	6.9	7.7
Borowiec	7811	912.0	217.0	32.0	1161.0	13962.0	1961.0	134.0	16057.0	6738	13.9	18.3	17.9
Komsomolsk	1868	14.0	145.0	746.0	905.0	136.0	901.0	2403.0	3440.0	13646			27.5
Kiev	1824	686.0	62.0	0.0	748.0	5314.0	360.0	0.0	5674.0	2069	11.3	29.6	33.1
San_Fernando	7824	628.0	31.0	0.0	659.0	4296.0	118.0	0.0	4414.0	1577	6.4	9.3	14.1
Baikonur	1887	0.0	251.0	400.0	651.0	0.0	1221.0	1059.0	2280.0	7736			29.5
Riga	1884	290.0	105.0	69.0	464.0	4576.0	956.0	371.0	5903.0	4099	5.7	7.5	9.6
Mendeleevo	1874	98.0	94.0	195.0	387.0	1337.0	1280.0	633.0	3250.0	6016	31.0	25.0	25.9
Brasilia	7407	73.0	47.0	202.0	322.0	387.0	193.0	675.0	1255.0	3880	29.4	19.9	24.5
Sejong	7394	215.0	84.0	4.0	303.0	3555.0	951.0	32.0	4538.0	2835	3.8	8.4	11.2
Tanegashima	7358	198.0	19.0	10.0	227.0	1383.0	88.0	40.0	1511.0	804	1.8	3.8	5.1

Below are the detailed descriptions of each column in Tables L1 and L2:

• the first column, L1, is the station location name.
• the second column, L2, is the monument marker number.
• the third column, L3, is the wavelength.
• the fourth column, L4, is the number of passes during the past 12 months.
• the fifth column, L5, is the number of Lunar Laser Ranging normal points during the past 12 months
• the sixth, ninth, twelfth, fifteenth, and eighteenth columns, L6, L9, L12, L15, L18, are the number of passes taken, specific to a retroreflector, during the past 12 months in which there were Lunar ranging measurements.
• the seventh, tenth, thirteenth, sixteenth, and nineteenth columns, L7, L10, L13, L16, L19 are the number of normal points taken, specific to a retroreflector, during the past 12 months
• the eighth, eleventh, fourteenth, seventeenth, and twentieth columns, L8, L11, L14, L17, L20 are the average Lunar Laser Ranging normal points rms 12 months in mm for a specific retroreflector

Table L1: Lunar Laser Ranging information during the past year

Last 12 months			All reflectors		Apollo-11			Apollo-14			Apollo-15			Luna-17			Luna-21
Column L1	L2	L3	L4	L5	L6	L7	L8	L9	L10	L11	L12	L13	L14	L15	L16	L17	L18	L19	L20
Station Location	Station number	λ	Passes	NPTs	Passes	NPTs	RMS	Passes	NPTs	RMS	Passes	NPTs	RMS	Passes	NPTs	RMS	Passes	NPTs	RMS
Grasse_MEO	7845	1064.0	59	512	32	77	20.83	27	57	21.00	53	178	34.62	41	113	18.38	35	87	19.06
Grasse_MEO	7845	532.0	3	23	3	9	19.23	1	2	18.50	2	9	43.20	1	3	11.10
Matera_MLRO	7941	532.0	24	60	6	12	42.87	5	6	55.13	16	31	52.06	6	9	46.28	2	2	43.85

Table L2: Lunar Laser Ranging information during the past 3 months

Last 3 months

All reflectors

Apollo-11

Apollo-14

Apollo-15

Luna-17

Luna-21

Column L1

L2

L3

L4

L5

L6

L7

L8

L9

L10

L11

L12

L13

L14

L15

L16

L17

L18

L19

L20

Station Location

Station number

λ

Passes

NPTs

Passes

NPTs

RMS

Passes

NPTs

RMS

Passes

NPTs

RMS

Passes

NPTs

RMS

Passes

NPTs

RMS

Grasse_MEO

7845

1064.0

8

44

4

6

21.80

4

10

20.93

7

18

35.87

4

9

18.50

1

1

19.60

Matera_MLRO

7941

532.0

1

2

1

2

62.50

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

• the first column is the station location name.
• the second column is the monument marker number.
• following columns are in grouped by analysis center with four columns for each
  • the first AC column is the average LAGEOS normal point RMS, in millimeters, during the last 3 months
  • the second AC column is the measure of short term bias stability, in millimeters, during the last 3 months. The short term stability is computed as the standard deviation about the mean of the pass-by-pass range biases (minimum number of passes in the last 3 months is 10)
  • the third AC column is the measure of long term bias stability, in millimeters, during the past year. The long term stability is the standard deviation of the monthly range bias estimates. A station must have tracked LAGEOS (1,2) in at least 8 of the last 12 months in order to compute this metric.
  • the fourth AC column is the percentage of LAGEOS normal points that were accepted in the analysis.

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

Additional Notes: 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: Performance parameters based on various Analysis Centers' rapid orbital analysis results.

Site Information		DGFI Orbital Analysis				Hitotsubashi Univ. Orbital Analysis				JCET Orbital Analysis				MCC Orbital Analysis				SHAO Orbital Analysis
Station Location	Station Number	LAG NP RMS (mm)	short term (mm)	long term (mm)	% good LAG. NP	LAG NP RMS (mm)	short term (mm)	long term (mm)	% good LAG. NP	LAG NP RMS (mm)	short term (mm)	long term (mm)	% good LAG. NP	LAG NP RMS (mm)	short term (mm)	long term (mm)	% good LAG. NP	LAG NP RMS (mm)	short term (mm)	long term (mm)	% good LAG. NP
Baseline		10.0	20.0	10.0	95	10.0	20.0	10.0	95	10.0	20.0	10.0	95	10.0	20.0	10.0	95	10.0	20.0	10.0	95
Kiev	1824					20.6				6.0				10.0				4.2
Komsomolsk	1868					4.9	13.8	15.7	100	3.7	15.9	20.8	96	4.8	23.8	10.7	97	2.8	15.5	14.8	91
Simeiz	1873					22.7	44.5	18.6	97	4.5	51.0	16.0	57	19.2	44.1	15.9	85	6.9	35.5	24.9	63
Mendeleevo	1874					5.0	13.7	8.7	100	4.7	20.2	10.4	90	6.4	9.7	4.7	97	5.4	17.8	10.3	96
Altay	1879					2.9	18.7	19.3	100	2.3	14.6	25.1	99	2.4	13.5	15.8	99	1.8	16.8	15.0	95
Riga	1884					5.5	26.8	25.4	100	4.9	20.3	20.6	81	9.5		25.1	95	6.1	29.0	26.0	96
Arkhyz	1886					4.9	23.1	12.1	100	4.2	21.5	14.7	94	4.2	25.9	8.7	98	3.5	20.9	11.7	97
Baikonur	1887					7.6	13.9	12.4	100	3.6	19.0	22.4	91	7.7	17.7	10.8	97	5.9	22.1	20.6	95
Svetloe	1888					2.2	8.4	3.1	100	1.9	13.0	6.9	95	2.9	10.3	5.3	98	0.7	21.1	6.8	94
Badary	1890					6.0	11.5	7.5	100	4.1	18.2	10.0	95	6.3	16.4	8.6	97	3.6	23.4	8.0	95
Irkutsk	1891					5.2	17.0	9.9	100	3.8	22.2	9.5	92	6.1	20.4	9.8	95
Katzively	1893					16.5	22.4	6.3	97	4.2	27.3	8.0	75	13.3	23.8	5.5	89	10.5	24.1	6.2	93
Yarragadee	7090					1.4	5.7	0.9	100	1.9	12.1	2.6	100	2.9	18.8	2.0	99	1.0	11.8	1.1	95
Greenbelt	7105					1.5	6.4	1.6	100	2.1	12.8	3.1	99	2.1	13.0	1.7	98	1.8	14.2	2.2	95
Monument_Peak	7110					1.9	5.2	2.1	100	2.2	13.0	5.7	98	2.3	11.9	3.3	98	1.3	14.3	4.7	95
Haleakala	7119					2.1	8.8	2.6	100	2.2	18.9	5.4	98	6.9	19.0	3.9	99	1.8	18.8	9.8	94
Tahiti	7124					1.8	3.6	10.2	100	2.2	12.1	6.0	99	3.4	13.3	7.9	99	1.5	13.7	17.6	95
Changchun	7237					4.1	17.7	6.9	100	3.6	19.9	11.2	97	5.1	18.3	6.2	98	2.7	19.3	9.0	96
Beijing	7249					7.4	13.2	6.1	100	4.2	18.3	12.1	91	6.4	24.1	4.5	97	4.1	23.0	11.1	93
Tanegashima	7358					1.0				1.4				5.0
Sejong	7394					1.7	10.3	7.2	100	1.6	18.5	12.8	100	1.8	15.2	9.4	100
Wuhan	7396					2.9	16.2	8.7	100	1.9	19.0	11.0	97	2.6	21.4	12.5	96	0.0	0.0	3.1	1
Arequipa	7403					4.0		7.5	98	3.2		13.4	98	6.0		18.2	98	1.0		38.1	76
Hartebeesthoek_HARL	7501					1.6	8.2	4.8	100	2.1	16.9	7.1	99	3.5	16.4	8.5	98	1.1	22.1	7.1	97
Hartebeesthoek_HRTL	7503					4.8	14.9	6.9	100	2.8	17.9	10.5	93	15.1	25.5	15.5	100
Zimmerwald_532	7810					2.0	9.9	1.1	100	2.2	15.4	3.0	99	3.4	17.8	1.6	95	1.8	15.0	1.5	95
Borowiec	7811					4.0	9.6	10.7	100	4.3	14.7	11.7	98	4.6	9.0	8.4	99	3.5	11.1	11.6	94
Kunming	7819					4.4	22.9	12.4	99	3.9	21.6	9.2	97	4.2	32.2	8.2	99
Shanghai_2	7821					1.6	9.4	4.3	100	1.5	10.4	9.2	99	2.0	13.3	5.6	99	1.0	13.3	7.5	95
San Fernando	7824					2.0								7.8				0.0
Mount_Stromlo_2	7825					2.4	6.0	1.4	100	2.5	14.0	1.5	100	3.4	16.8	2.7	98	1.4	11.3	2.5	95
Simosato	7838					6.3	13.1	8.0	100	4.3	19.8	10.0	93	6.3	17.9	6.9	98	5.6	29.0	10.6	95
Graz	7839					1.0	4.4	1.0	100	1.1	7.9	2.6	100	2.9	9.2	2.3	97	0.4	9.0	2.1	96
Herstmonceux	7840					0.7	4.5	0.4	100	1.1	7.9	2.0	100	1.6	7.5	1.2	99	0.7	7.6	1.4	97
Potsdam_3	7841					1.5	6.7	3.8	100	1.3	10.8	4.9	100	1.4	11.9	3.7	98	0.6	15.9	4.8	97
Grasse_MEO	7845					2.8	9.5	1.4	100	2.8	13.6	2.6	99	3.2	14.1	2.2	97	1.9	17.3	2.7	95
Matera_MLRO	7941					1.1	8.3	1.1	100	1.3	11.2	3.2	100	1.7	14.7	2.5	100	0.7	17.9	4.0	97
Wettzell	8834					1.4	5.2			1.4	10.9			10.2	46.0			0.7	13.9