Results for strainmeter B084_00L_4 This analysis was run on Fri Mar 29 15:44:31 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 0.16 Model of noise using coarse sampling Power law index = 2.20 Power law amplitude = 42.6 for coarse samping 0.16666666666666665741 days Power law amplitude = 38.3933 for full sampling 0.020833333 days white noise amplitude = 0.16 White noise is 0.16 Calculate a window to average data to estimate offsets period where power law noise equal white noise is 0.117796 days The window length is 1.17796 days Pressure sensitivity is -2.91783 +/- 0.01182 units-strain/units-pressure The rate is -1303.0194 +/- 44.7386 NS/yr The estimated tides using 2011 1.000000000 as reference date tide K1 0.99726958 days cosine= -2.17 +/- 0.01 sine= 5.65 +/- 0.01 tide O1 1.07580592 days cosine= 3.63 +/- 0.01 sine= 4.25 +/- 0.01 tide P1 1.00274540 days cosine= -1.88 +/- 0.01 sine= 1.94 +/- 0.01 tide Q1 1.11951482 days cosine= -0.38 +/- 0.01 sine= 1.06 +/- 0.01 tide M1 1.03471866 days cosine= -0.43 +/- 0.01 sine= 0.09 +/- 0.01 tide J1 0.96243649 days cosine= 0.22 +/- 0.01 sine= 0.22 +/- 0.01 tide OO1 0.92941977 days cosine= 0.10 +/- 0.01 sine= -0.01 +/- 0.01 tide RHO1 1.11346055 days cosine= -0.03 +/- 0.01 sine= -0.19 +/- 0.01 tide SIG1 1.16034950 days cosine= 0.10 +/- 0.01 sine= -0.11 +/- 0.01 tide PI1 1.00550585 days cosine= -0.12 +/- 0.01 sine= 0.10 +/- 0.01 tide 2Q1 1.16692592 days cosine= -0.10 +/- 0.01 sine= -0.02 +/- 0.01 tide PHI1 0.99185312 days cosine= 0.03 +/- 0.01 sine= -0.25 +/- 0.01 tide M2 0.51752505 days cosine= 5.23 +/- 0.01 sine= 1.11 +/- 0.01 tide S2 0.50000000 days cosine= -0.42 +/- 0.01 sine= 2.43 +/- 0.01 tide N2 0.52743117 days cosine= 0.99 +/- 0.01 sine= 1.51 +/- 0.01 tide K2 0.49863479 days cosine= -0.42 +/- 0.01 sine= -0.49 +/- 0.01 tide NU2 0.52608351 days cosine= -0.29 +/- 0.01 sine= -0.15 +/- 0.01 tide MU2 0.53632321 days cosine= -0.28 +/- 0.01 sine= -0.25 +/- 0.01 tide L2 0.50798416 days cosine= 0.07 +/- 0.01 sine= 0.02 +/- 0.01 tide T2 0.50068539 days cosine= -0.10 +/- 0.01 sine= 0.37 +/- 0.01 tide 2N2 0.53772394 days cosine= 0.00 +/- 0.01 sine= 0.30 +/- 0.01 tide EPS2 0.54696944 days cosine= -0.03 +/- 0.01 sine= -0.10 +/- 0.01 tide LDA2 0.50924058 days cosine= 0.03 +/- 0.01 sine= 0.01 +/- 0.01 tide ETA2 0.48977171 days cosine= -0.05 +/- 0.01 sine= -0.03 +/- 0.01 tide M3 0.34501666 days cosine= 0.01 +/- 0.01 sine= 0.05 +/- 0.01 The estimates of offsets (both tectonic and non-tectonic) are Based upon 1st differences, the white noise is 0.16 Use least squares to fit power law part of PSD The final estimate (but not used to estimate offset sizes Power law index = 0.21937416E+01 Power law amplitude = 42.6503 for coarse samping 0.16666666666666665741 days Power law amplitude = 38.5639 for full sampling 0.020833333 days Power law amplitude for PSD = 135.986 White noise is 0.16 The outliers are: year 2011 doy.dec 53.607638889 yearjdoyhrmn 2011j0531435 diff= 1.731 sig= 0.342 s/n= 5.1 year 2011 doy.dec 66.673611111 yearjdoyhrmn 2011j0661610 diff= -3.144 sig= 0.342 s/n= -9.2 year 2011 doy.dec 66.694444444 yearjdoyhrmn 2011j0661640 diff= 3.207 sig= 0.342 s/n= 9.4 year 2011 doy.dec 66.715277778 yearjdoyhrmn 2011j0661710 diff= -1.869 sig= 0.342 s/n= -5.5 year 2011 doy.dec 70.538194444 yearjdoyhrmn 2011j0701255 diff= -1.838 sig= 0.342 s/n= -5.4 year 2011 doy.dec 70.725694444 yearjdoyhrmn 2011j0701725 diff= -1.728 sig= 0.342 s/n= -5.1 year 2011 doy.dec 114.920138889 yearjdoyhrmn 2011j1142205 diff= 1.982 sig= 0.342 s/n= 5.8 year 2011 doy.dec 122.239583333 yearjdoyhrmn 2011j1220545 diff= 1.784 sig= 0.342 s/n= 5.2 year 2011 doy.dec 301.364583333 yearjdoyhrmn 2011j3010845 diff= 1.807 sig= 0.342 s/n= 5.3 year 2012 doy.dec 86.364583333 yearjdoyhrmn 2012j0860845 diff= 1.791 sig= 0.342 s/n= 5.2 year 2012 doy.dec 102.319444444 yearjdoyhrmn 2012j1020740 diff= 3.114 sig= 0.342 s/n= 9.1 year 2012 doy.dec 102.340277778 yearjdoyhrmn 2012j1020810 diff= -2.523 sig= 0.342 s/n= -7.4 year 2012 doy.dec 102.486111111 yearjdoyhrmn 2012j1021140 diff= -3.890 sig= 0.520 s/n= -7.5 year 2012 doy.dec 102.506944444 yearjdoyhrmn 2012j1021210 diff= 4.927 sig= 0.342 s/n= 14.4 year 2012 doy.dec 102.694444444 yearjdoyhrmn 2012j1021640 diff= 1.733 sig= 0.342 s/n= 5.1 year 2012 doy.dec 117.256944444 yearjdoyhrmn 2012j1170610 diff= 2.256 sig= 0.342 s/n= 6.6 year 2012 doy.dec 171.420138889 yearjdoyhrmn 2012j1711005 diff= 3.046 sig= 0.342 s/n= 8.9 year 2012 doy.dec 171.440972222 yearjdoyhrmn 2012j1711035 diff= -3.219 sig= 0.342 s/n= -9.4 year 2012 doy.dec 195.982638889 yearjdoyhrmn 2012j1952335 diff= -7.078 sig= 0.342 s/n= -20.7 year 2012 doy.dec 232.100694444 yearjdoyhrmn 2012j2320225 diff= 1.738 sig= 0.342 s/n= 5.1 year 2012 doy.dec 264.100694444 yearjdoyhrmn 2012j2640225 diff= -1.901 sig= 0.342 s/n= -5.6 year 2012 doy.dec 276.350694444 yearjdoyhrmn 2012j2760825 diff= -2.364 sig= 0.342 s/n= -6.9 year 2012 doy.dec 338.243055556 yearjdoyhrmn 2012j3380550 diff= 1.745 sig= 0.342 s/n= 5.1