Results for strainmeter B087_00L_1
This analysis was run on Thu Mar 21 16:29:59 MDT 2013
The time interval is 2011 1.000000000 to 2013 59.993055556
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 0.26
ORIGINAL COVARIANCE IN est_noise6ac was SINGULAR!
Model of noise using coarse sampling
Power law index = 2.40
Power law amplitude = 45.5 for coarse samping 0.16666666666666665741 days
Power law amplitude = 36.9575 for full sampling 0.020833333 days
white noise amplitude = 0.26
White noise is 0.26
Calculate a window to average data to estimate offsets
period where power law noise equal white noise is 0.0805195 days
The window length is 0.805194 days
Pressure sensitivity is -4.96773 +/- 0.01143 units-strain/units-pressure
The rate is 1275.7343 +/- 85.0180 NS/yr
The estimated tides using
2011 1.000000000 as reference date
tide K1 0.99726958 days cosine= -2.68 +/- 0.01 sine= 2.78 +/- 0.01
tide O1 1.07580592 days cosine= 0.71 +/- 0.01 sine= 2.64 +/- 0.01
tide P1 1.00274540 days cosine= -1.78 +/- 0.01 sine= 0.87 +/- 0.01
tide Q1 1.11951482 days cosine= -0.41 +/- 0.01 sine= 0.37 +/- 0.01
tide M1 1.03471866 days cosine= -0.24 +/- 0.01 sine= -0.05 +/- 0.01
tide J1 0.96243649 days cosine= 0.13 +/- 0.01 sine= 0.17 +/- 0.01
tide OO1 0.92941977 days cosine= 0.04 +/- 0.01 sine= 0.06 +/- 0.01
tide RHO1 1.11346055 days cosine= 0.07 +/- 0.01 sine= -0.04 +/- 0.01
tide SIG1 1.16034950 days cosine= 0.07 +/- 0.01 sine= 0.04 +/- 0.01
tide PI1 1.00550585 days cosine= -0.26 +/- 0.01 sine= 0.05 +/- 0.01
tide 2Q1 1.16692592 days cosine= -0.05 +/- 0.01 sine= -0.09 +/- 0.01
tide PHI1 0.99185312 days cosine= -0.04 +/- 0.01 sine= -0.19 +/- 0.01
tide M2 0.51752505 days cosine= 0.44 +/- 0.01 sine= 2.55 +/- 0.01
tide S2 0.50000000 days cosine= -1.14 +/- 0.01 sine= 0.65 +/- 0.01
tide N2 0.52743117 days cosine= -0.76 +/- 0.01 sine= 0.49 +/- 0.01
tide K2 0.49863479 days cosine= 0.07 +/- 0.01 sine= -0.12 +/- 0.01
tide NU2 0.52608351 days cosine= 0.02 +/- 0.01 sine= -0.17 +/- 0.01
tide MU2 0.53632321 days cosine= 0.19 +/- 0.01 sine= -0.02 +/- 0.01
tide L2 0.50798416 days cosine= -0.01 +/- 0.01 sine= 0.02 +/- 0.01
tide T2 0.50068539 days cosine= -0.23 +/- 0.01 sine= 0.37 +/- 0.01
tide 2N2 0.53772394 days cosine= -0.15 +/- 0.01 sine= -0.13 +/- 0.01
tide EPS2 0.54696944 days cosine= 0.04 +/- 0.01 sine= 0.05 +/- 0.01
tide LDA2 0.50924058 days cosine= 0.04 +/- 0.01 sine= 0.02 +/- 0.01
tide ETA2 0.48977171 days cosine= -0.01 +/- 0.01 sine= 0.02 +/- 0.01
tide M3 0.34501666 days cosine= 0.01 +/- 0.01 sine= -0.06 +/- 0.01
The estimates of offsets (both tectonic and non-tectonic) are
Based upon 1st differences, the white noise is 0.26
Use least squares to fit power law part of PSD
The final estimate (but not used to estimate offset sizes
Power law index = 0.24005780E+01
Power law amplitude = 202.822 for coarse samping 0.16666666666666665741 days
Power law amplitude = 164.693 for full sampling 0.020833333 days
Power law amplitude for PSD = 4658.89
White noise is 0.26
The outliers are:
year 2011 doy.dec 175.190972222 yearjdoyhrmn 2011j1750435 diff= 4.033 sig= 0.756 s/n= 5.3
year 2011 doy.dec 202.857638889 yearjdoyhrmn 2011j2022035 diff= -9.250 sig= 0.756 s/n= -12.2
year 2011 doy.dec 202.940972222 yearjdoyhrmn 2011j2022235 diff= 5.850 sig= 0.756 s/n= 7.7
year 2011 doy.dec 257.020833333 yearjdoyhrmn 2011j2570030 diff= -3.960 sig= 0.756 s/n= -5.2
year 2011 doy.dec 257.041666667 yearjdoyhrmn 2011j2570100 diff= -5.047 sig= 0.756 s/n= -6.7
year 2012 doy.dec 102.413194444 yearjdoyhrmn 2012j1020955 diff= 5.010 sig= 0.756 s/n= 6.6
year 2012 doy.dec 102.513888889 yearjdoyhrmn 2012j1021220 diff= 3.874 sig= 0.756 s/n= 5.1
year 2012 doy.dec 212.871527778 yearjdoyhrmn 2012j2122055 diff= -6.247 sig= 0.756 s/n= -8.3
year 2012 doy.dec 254.951388889 yearjdoyhrmn 2012j2542250 diff= -23.967 sig= 1.741 s/n= -13.8