Results for strainmeter B084_00L_2
This analysis was run on Fri Mar 29 15:36:53 MDT 2013
The time interval is 2011 1.000000000 to 2013 59.989583333
Using est_noise6ac adjustments to data and the PSD to estimate the noise
The estimated tides using
2011 1.000000000 as reference date
Based upon 1st differences, the white noise is 0.15
Model of noise using coarse sampling
Power law index = 2.01
Power law amplitude = 28.7 for coarse samping 0.16666666666666665741 days
Power law amplitude = 28.5512 for full sampling 0.020833333 days
white noise amplitude = 0.15
White noise is 0.15
Calculate a window to average data to estimate offsets
period where power law noise equal white noise is 0.0925802 days
The window length is 0.925802 days
Pressure sensitivity is -1.73966 +/- 0.01079 units-strain/units-pressure
The rate is -1029.2271 +/- 19.9744 NS/yr
The estimated tides using
2011 1.000000000 as reference date
tide K1 0.99726958 days cosine= 0.42 +/- 0.01 sine= 3.26 +/- 0.01
tide O1 1.07580592 days cosine= 2.08 +/- 0.01 sine= 1.75 +/- 0.01
tide P1 1.00274540 days cosine= -0.65 +/- 0.01 sine= 1.38 +/- 0.01
tide Q1 1.11951482 days cosine= -0.14 +/- 0.01 sine= 0.46 +/- 0.01
tide M1 1.03471866 days cosine= -0.23 +/- 0.01 sine= 0.12 +/- 0.01
tide J1 0.96243649 days cosine= 0.32 +/- 0.01 sine= 0.13 +/- 0.01
tide OO1 0.92941977 days cosine= 0.16 +/- 0.01 sine= -0.06 +/- 0.01
tide RHO1 1.11346055 days cosine= 0.01 +/- 0.01 sine= -0.09 +/- 0.01
tide SIG1 1.16034950 days cosine= 0.02 +/- 0.01 sine= -0.03 +/- 0.01
tide PI1 1.00550585 days cosine= -0.17 +/- 0.01 sine= 0.16 +/- 0.01
tide 2Q1 1.16692592 days cosine= -0.06 +/- 0.01 sine= -0.04 +/- 0.01
tide PHI1 0.99185312 days cosine= 0.01 +/- 0.01 sine= -0.22 +/- 0.01
tide M2 0.51752505 days cosine= -14.60 +/- 0.01 sine= 10.23 +/- 0.01
tide S2 0.50000000 days cosine= -5.16 +/- 0.01 sine= -7.00 +/- 0.01
tide N2 0.52743117 days cosine= -3.49 +/- 0.01 sine= -2.08 +/- 0.01
tide K2 0.49863479 days cosine= 2.16 +/- 0.01 sine= 0.73 +/- 0.01
tide NU2 0.52608351 days cosine= 0.75 +/- 0.01 sine= -0.09 +/- 0.01
tide MU2 0.53632321 days cosine= 0.55 +/- 0.01 sine= 0.51 +/- 0.01
tide L2 0.50798416 days cosine= -0.12 +/- 0.01 sine= -0.51 +/- 0.01
tide T2 0.50068539 days cosine= -0.52 +/- 0.01 sine= -0.28 +/- 0.01
tide 2N2 0.53772394 days cosine= -0.05 +/- 0.01 sine= -0.63 +/- 0.01
tide EPS2 0.54696944 days cosine= -0.03 +/- 0.01 sine= 0.19 +/- 0.01
tide LDA2 0.50924058 days cosine= -0.04 +/- 0.01 sine= 0.10 +/- 0.01
tide ETA2 0.48977171 days cosine= 0.09 +/- 0.01 sine= -0.08 +/- 0.01
tide M3 0.34501666 days cosine= 0.08 +/- 0.01 sine= 0.00 +/- 0.01
The estimates of offsets (both tectonic and non-tectonic) are
Based upon 1st differences, the white noise is 0.15
Use least squares to fit power law part of PSD
The final estimate (but not used to estimate offset sizes
Power law index = 0.20070622E+01
Power law amplitude = 28.7453 for coarse samping 0.16666666666666665741 days
Power law amplitude = 28.64 for full sampling 0.020833333 days
Power law amplitude for PSD = 42.4584
White noise is 0.15
The outliers are:
year 2011 doy.dec 47.184027778 yearjdoyhrmn 2011j0470425 diff= 1.941 sig= 0.368 s/n= 5.3
year 2011 doy.dec 70.621527778 yearjdoyhrmn 2011j0701455 diff= -1.928 sig= 0.368 s/n= -5.2
year 2011 doy.dec 79.777777778 yearjdoyhrmn 2011j0791840 diff= 2.015 sig= 0.368 s/n= 5.5
year 2011 doy.dec 169.878472222 yearjdoyhrmn 2011j1692105 diff= 3.535 sig= 0.368 s/n= 9.6
year 2011 doy.dec 218.517361111 yearjdoyhrmn 2011j2181225 diff= 2.507 sig= 0.368 s/n= 6.8
year 2011 doy.dec 231.361111111 yearjdoyhrmn 2011j2310840 diff= 2.395 sig= 0.368 s/n= 6.5
year 2011 doy.dec 353.111111111 yearjdoyhrmn 2011j3530240 diff= 3.489 sig= 0.368 s/n= 9.5
year 2012 doy.dec 36.343750000 yearjdoyhrmn 2012j0360815 diff= 4.097 sig= 0.674 s/n= 6.1
year 2012 doy.dec 54.343750000 yearjdoyhrmn 2012j0540815 diff= 2.122 sig= 0.368 s/n= 5.8
year 2012 doy.dec 57.916666667 yearjdoyhrmn 2012j0572200 diff= 2.948 sig= 0.563 s/n= 5.2
year 2012 doy.dec 102.402777778 yearjdoyhrmn 2012j1020940 diff= -2.577 sig= 0.368 s/n= -7.0
year 2012 doy.dec 102.423611111 yearjdoyhrmn 2012j1021010 diff= 3.040 sig= 0.368 s/n= 8.3
year 2012 doy.dec 102.506944444 yearjdoyhrmn 2012j1021210 diff= -3.499 sig= 0.368 s/n= -9.5
year 2012 doy.dec 102.548611111 yearjdoyhrmn 2012j1021310 diff= 2.575 sig= 0.368 s/n= 7.0
year 2012 doy.dec 117.256944444 yearjdoyhrmn 2012j1170610 diff= 2.018 sig= 0.368 s/n= 5.5
year 2012 doy.dec 145.916666667 yearjdoyhrmn 2012j1452200 diff= 3.130 sig= 0.615 s/n= 5.1
year 2012 doy.dec 157.857638889 yearjdoyhrmn 2012j1572035 diff= 2.828 sig= 0.491 s/n= 5.8
year 2012 doy.dec 179.503472222 yearjdoyhrmn 2012j1791205 diff= 2.203 sig= 0.368 s/n= 6.0
year 2012 doy.dec 195.982638889 yearjdoyhrmn 2012j1952335 diff= -6.468 sig= 0.368 s/n= -17.6
year 2012 doy.dec 243.777777778 yearjdoyhrmn 2012j2431840 diff= 3.042 sig= 0.491 s/n= 6.2
year 2012 doy.dec 265.434027778 yearjdoyhrmn 2012j2651025 diff= 2.017 sig= 0.368 s/n= 5.5
year 2012 doy.dec 290.305555556 yearjdoyhrmn 2012j2900720 diff= 2.970 sig= 0.536 s/n= 5.5
year 2012 doy.dec 296.649305556 yearjdoyhrmn 2012j2961535 diff= 3.586 sig= 0.674 s/n= 5.3
year 2012 doy.dec 315.190972222 yearjdoyhrmn 2012j3150435 diff= 3.575 sig= 0.476 s/n= 7.5
year 2012 doy.dec 335.368055556 yearjdoyhrmn 2012j3350850 diff= 2.807 sig= 0.368 s/n= 7.6
year 2012 doy.dec 341.555555556 yearjdoyhrmn 2012j3411320 diff= 4.284 sig= 0.639 s/n= 6.7
year 2012 doy.dec 362.312500000 yearjdoyhrmn 2012j3620730 diff= 4.794 sig= 0.407 s/n= 11.8
year 2013 doy.dec 11.302083333 yearjdoyhrmn 2013j0110715 diff= 5.818 sig= 0.627 s/n= 9.3
year 2013 doy.dec 14.552083333 yearjdoyhrmn 2013j0141315 diff= 2.537 sig= 0.368 s/n= 6.9
year 2013 doy.dec 51.027777778 yearjdoyhrmn 2013j0510040 diff= 1.848 sig= 0.368 s/n= 5.0
year 2013 doy.dec 57.302083333 yearjdoyhrmn 2013j0570715 diff= 4.917 sig= 0.459 s/n= 10.7