Author Topic: Recovered: 'Station Performance 2017-2018 (Canberra Workshop Replay)'  (Read 1270 times)

June 14, 2019, 02:14:54 PM

Matt Wilkinson

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Dear Laser Tracking Colleagues,

G'Day from Tokyo.

In the 21st International Workshop on Laser Ranging (conference site: http://www.iwlr2018.serc.org.au/, proceedings site: https://cddis.nasa.gov/lw21/Program/index.html, I presented station-by-station performance charts (printed on 1-metre-long sheets) during the Clinic Session 3 co-hosted with Jose Rodriguez.  Here are the short summary of the analysis and the links to the charts.

Period: July 2017 to June 2018.
Satellites: LAGEOS-1, LAGEOS-2, AJISAI, STARLETTE, STELLA and LARES.
29 Stations with > 200 LAGEOS passes in the 1 year span.
More details about the analysis: See http://geo.science.hit-u.ac.jp/slr/bias/2018sp/Clinic_Booth3.pdf

Unlike the previous years' ones, this year's charts are organised PER STATION.  Matrix charts are also provided (printed on the reservse side) to help investigate the cause.

The first part contains:
  Residual wrt Range rate (negative in ascending (first) half, and positive in descending (second) half of a pass)
  Residual wrt Local time (defined by the station longitude, slightly different from the local standard time)
  Residual wrt Range rate (as specified in normal point data)
  Residual wrt Single-shot RMS (as specified in normal point data)
  Residual wrt Skew (as specified in normal point data)
  Residual wrt Kurtosis (as specified in normal point data)
  Residual wrt System delay (1), (2),.. (per system delay 'group')
  System delay (all sat) (including calibration data for other satellites not included in this analysis)
  System delay (A), (B), ... (vertical scale magnified as above)
  Calibration interval (cumulative) (typical calbration interval is at median (50%))

The matrix chart (second  part) labels, top-to-botumn = left-toright,  mean:
  Mon 17: Months from January 2017 (13 for January 2018)
  Hour: Local time
  # ret: Number of returns per NP bin
  Return rate
  RMS: Single-shot RMS
  Skew
  Kurt: Kurtosis
  Range rate
  System delay (1), (2), ...
  O-C: POD residuals
 
7090 (Yarragadee) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7090.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7090-a.png
7941 (Matera)  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7941.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7941-a.png
7825 (Mt Strolmo)  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7825.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7825-a.png
7237 (Changchun) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7237.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7237-a.png
7105 (Greenbelt) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7105.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7105-a.png
7810 (Zimmerwald) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7810.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7810-a.png
7840 (Herstmonceux) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7840.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7840-a.png
7110 (Monument Peak) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7110.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7110-a.png
7501 (Hartebeesthoek) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7501.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7501-a.png
7841 (Potsdam) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7841.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7841-a.png
7821 (Shanghai) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7821.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7821-a.png
8834 (Wettzell) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/8834.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c8834-a.png
7839 (Graz) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7839.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7839-a.png
7119 (Haleakala) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7119.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7119-a.png
7819 (Kunming) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7819.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7819-a.png
1887 (Baikonur) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1887.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1887-a.png
7838 (Shimosato) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7838.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7838-a.png
7249 (Beijing) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7249.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7249-a.png
7827 (Wettzell) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7827.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7827-a.png
7407 (Brasilia) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7407.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7407-a.png
1873 (Simeiz) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1873.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1873-a.png
1879 (Altay) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1879.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1879-a.png
7845 (Grasse) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7845.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7845-a.png
1893 (Katzively) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1893.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1893-a.png
1891 (Irkutsk) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1891.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1891-a.png
1868 (Komsomolsk-na-Amure) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1868.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1868-a.png
1889 (Zelenchukskya) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1889.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1889-a.png
1886 (Arkhyz) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/1886.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c1886-a.png
7811 (Borowiec) http://geo.science.hit-u.ac.jp/slr/bias/2018sp/7811.png,  http://geo.science.hit-u.ac.jp/slr/bias/2018sp/c7811-a.png

Best Regards,
Toshi

February 24, 2020, 03:39:07 PMReply #1

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