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From a long term plot of the sonic "diag" value, I chose two periods where the the values were consistently very small. plot.tilt discards 5 minute wind averages when "diag" is above 0.01, or more than 1% of the data has a non-zero CSAT3 diagnostic value.
date | height | lean | leanaz | w offset (m/s) | elevation residual rms (deg) | offset residual rms (m/s) |
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Mar 2011 | 2m | 4.1 | -1.7 | 0.03 | 2.9 | 0.04 |
| 7m | 5.9 | 8.2 | 0.07 | 5.7 | 0.08 |
| 16m | 5.9 | -0.2 | -0.01 | 3.1 | 0.011 |
| 30m | 4.5 | -2.1 | 0.02 | 2.7 | 0.014 |
| 43m | 4.3 | -5.9 | 0.04 | 3 | 0.02 |
Aug 2011 | 2m |
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dpar(start="2011 2 21 00:25",end="2011 4 4 07:26",coords="instrument") dpar(hts=2) plot.tilt(flag="diag",ellim=10,spdmin=0.5) |