Results for strainmeter B084_00L_3 This analysis was run on Fri Mar 29 15:40:41 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 0.13 Model of noise using coarse sampling Power law index = 2.22 Power law amplitude = 36.0 for coarse samping 0.16666666666666665741 days Power law amplitude = 32.1094 for full sampling 0.020833333 days white noise amplitude = 0.13 White noise is 0.13 Calculate a window to average data to estimate offsets period where power law noise equal white noise is 0.121297 days The window length is 1.21297 days Pressure sensitivity is -2.25446 +/- 0.00962 units-strain/units-pressure The rate is -1444.0289 +/- 39.0111 NS/yr The estimated tides using 2011 1.000000000 as reference date tide K1 0.99726958 days cosine= -3.72 +/- 0.01 sine= 5.64 +/- 0.01 tide O1 1.07580592 days cosine= 2.10 +/- 0.01 sine= 4.96 +/- 0.01 tide P1 1.00274540 days cosine= -2.34 +/- 0.01 sine= 1.58 +/- 0.01 tide Q1 1.11951482 days cosine= -0.66 +/- 0.01 sine= 0.77 +/- 0.01 tide M1 1.03471866 days cosine= -0.47 +/- 0.01 sine= -0.03 +/- 0.01 tide J1 0.96243649 days cosine= 0.28 +/- 0.01 sine= 0.30 +/- 0.01 tide OO1 0.92941977 days cosine= 0.20 +/- 0.01 sine= -0.02 +/- 0.01 tide RHO1 1.11346055 days cosine= 0.07 +/- 0.01 sine= -0.20 +/- 0.01 tide SIG1 1.16034950 days cosine= 0.14 +/- 0.01 sine= -0.05 +/- 0.01 tide PI1 1.00550585 days cosine= -0.20 +/- 0.01 sine= 0.12 +/- 0.01 tide 2Q1 1.16692592 days cosine= -0.10 +/- 0.01 sine= -0.06 +/- 0.01 tide PHI1 0.99185312 days cosine= 0.05 +/- 0.01 sine= -0.23 +/- 0.01 tide M2 0.51752505 days cosine= -1.73 +/- 0.01 sine= 4.20 +/- 0.01 tide S2 0.50000000 days cosine= -1.06 +/- 0.01 sine= -0.71 +/- 0.01 tide N2 0.52743117 days cosine= -1.11 +/- 0.01 sine= 0.30 +/- 0.01 tide K2 0.49863479 days cosine= 0.33 +/- 0.01 sine= 0.03 +/- 0.01 tide NU2 0.52608351 days cosine= 0.13 +/- 0.01 sine= -0.17 +/- 0.01 tide MU2 0.53632321 days cosine= 0.18 +/- 0.01 sine= -0.02 +/- 0.01 tide L2 0.50798416 days cosine= -0.05 +/- 0.01 sine= -0.11 +/- 0.01 tide T2 0.50068539 days cosine= -0.20 +/- 0.01 sine= 0.07 +/- 0.01 tide 2N2 0.53772394 days cosine= -0.14 +/- 0.01 sine= -0.10 +/- 0.01 tide EPS2 0.54696944 days cosine= 0.03 +/- 0.01 sine= 0.03 +/- 0.01 tide LDA2 0.50924058 days cosine= 0.01 +/- 0.01 sine= 0.03 +/- 0.01 tide ETA2 0.48977171 days cosine= 0.01 +/- 0.01 sine= -0.01 +/- 0.01 tide M3 0.34501666 days cosine= 0.01 +/- 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 0.13 Use least squares to fit power law part of PSD The final estimate (but not used to estimate offset sizes Power law index = 0.22178137E+01 Power law amplitude = 36.0316 for coarse samping 0.16666666666666665741 days Power law amplitude = 32.1741 for full sampling 0.020833333 days Power law amplitude for PSD = 101.862 White noise is 0.13 The outliers are: year 2011 doy.dec 66.673611111 yearjdoyhrmn 2011j0661610 diff= -1.844 sig= 0.273 s/n= -6.8 year 2011 doy.dec 66.694444444 yearjdoyhrmn 2011j0661640 diff= 2.126 sig= 0.273 s/n= 7.8 year 2011 doy.dec 66.715277778 yearjdoyhrmn 2011j0661710 diff= -1.568 sig= 0.273 s/n= -5.7 year 2011 doy.dec 80.381944444 yearjdoyhrmn 2011j0800910 diff= 1.448 sig= 0.273 s/n= 5.3 year 2011 doy.dec 80.402777778 yearjdoyhrmn 2011j0800940 diff= -1.390 sig= 0.273 s/n= -5.1 year 2011 doy.dec 169.878472222 yearjdoyhrmn 2011j1692105 diff= 2.109 sig= 0.273 s/n= 7.7 year 2011 doy.dec 218.517361111 yearjdoyhrmn 2011j2181225 diff= 1.487 sig= 0.273 s/n= 5.4 year 2011 doy.dec 231.361111111 yearjdoyhrmn 2011j2310840 diff= 1.789 sig= 0.273 s/n= 6.6 year 2011 doy.dec 233.010416667 yearjdoyhrmn 2011j2330015 diff= 1.599 sig= 0.273 s/n= 5.9 year 2011 doy.dec 256.763888889 yearjdoyhrmn 2011j2561820 diff= -1.402 sig= 0.273 s/n= -5.1 year 2011 doy.dec 353.111111111 yearjdoyhrmn 2011j3530240 diff= 2.712 sig= 0.273 s/n= 9.9 year 2012 doy.dec 102.319444444 yearjdoyhrmn 2012j1020740 diff= 2.357 sig= 0.273 s/n= 8.6 year 2012 doy.dec 102.340277778 yearjdoyhrmn 2012j1020810 diff= -1.889 sig= 0.273 s/n= -6.9 year 2012 doy.dec 102.361111111 yearjdoyhrmn 2012j1020840 diff= 1.540 sig= 0.273 s/n= 5.6 year 2012 doy.dec 102.423611111 yearjdoyhrmn 2012j1021010 diff= -4.015 sig= 0.273 s/n= -14.7 year 2012 doy.dec 102.506944444 yearjdoyhrmn 2012j1021210 diff= 3.593 sig= 0.273 s/n= 13.2 year 2012 doy.dec 102.673611111 yearjdoyhrmn 2012j1021610 diff= -1.495 sig= 0.273 s/n= -5.5 year 2012 doy.dec 102.694444444 yearjdoyhrmn 2012j1021640 diff= 2.334 sig= 0.273 s/n= 8.5 year 2012 doy.dec 104.881944444 yearjdoyhrmn 2012j1042110 diff= -1.399 sig= 0.273 s/n= -5.1 year 2012 doy.dec 117.256944444 yearjdoyhrmn 2012j1170610 diff= 1.818 sig= 0.273 s/n= 6.7 year 2012 doy.dec 171.420138889 yearjdoyhrmn 2012j1711005 diff= 2.235 sig= 0.273 s/n= 8.2 year 2012 doy.dec 171.440972222 yearjdoyhrmn 2012j1711035 diff= -2.559 sig= 0.273 s/n= -9.4 year 2012 doy.dec 195.982638889 yearjdoyhrmn 2012j1952335 diff= -6.480 sig= 0.273 s/n= -23.7 year 2012 doy.dec 338.243055556 yearjdoyhrmn 2012j3380550 diff= 1.449 sig= 0.273 s/n= 5.3 year 2012 doy.dec 351.326388889 yearjdoyhrmn 2012j3510750 diff= 1.423 sig= 0.273 s/n= 5.2 year 2012 doy.dec 362.312500000 yearjdoyhrmn 2012j3620730 diff= 3.246 sig= 0.300 s/n= 10.8 year 2013 doy.dec 11.302083333 yearjdoyhrmn 2013j0110715 diff= 2.899 sig= 0.463 s/n= 6.3 year 2013 doy.dec 57.302083333 yearjdoyhrmn 2013j0570715 diff= 2.557 sig= 0.337 s/n= 7.6