Results for strainmeter  B084_00L_1
 
 This analysis was run on  Fri Mar 29 15:33:04 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  0.36
 Model of noise using coarse sampling
 Power law index =  1.56
 Power law amplitude = 37.5 for coarse samping 0.16666666666666665741 days
 Power law amplitude =  47.138  for full sampling  0.020833333  days
 white noise amplitude = 0.36
White noise is  0.36
   Calculate a window to average data to estimate offsets
    period where power law noise equal white noise is  0.0330845  days
    The window length is  0.6666  days
  Pressure sensitivity is  -2.43623 +/- 0.02739  units-strain/units-pressure
 The rate is  -1199.4553 +/- 10.0773  NS/yr
 
 
 The estimated tides using 
      2011 1.000000000  as reference date
   tide  K1 0.99726958 days   cosine= 1.62 +/- 0.04   sine= 3.48 +/- 0.04
   tide  O1 1.07580592 days   cosine= 4.23 +/- 0.04   sine= 1.64 +/- 0.04
   tide  P1 1.00274540 days   cosine= -1.03 +/- 0.04   sine= 1.54 +/- 0.04
   tide  Q1 1.11951482 days   cosine= 0.14 +/- 0.04   sine= 1.09 +/- 0.04
   tide  M1 1.03471866 days   cosine= -0.23 +/- 0.04   sine= 0.34 +/- 0.04
   tide  J1 0.96243649 days   cosine= 0.14 +/- 0.04   sine= 0.08 +/- 0.04
   tide  OO1 0.92941977 days   cosine= 0.06 +/- 0.04   sine= -0.13 +/- 0.04
   tide  RHO1 1.11346055 days   cosine= -0.10 +/- 0.04   sine= -0.25 +/- 0.04
   tide  SIG1 1.16034950 days   cosine= 0.01 +/- 0.04   sine= -0.11 +/- 0.04
   tide  PI1 1.00550585 days   cosine= 0.25 +/- 0.04   sine= 0.11 +/- 0.04
   tide  2Q1 1.16692592 days   cosine= -0.07 +/- 0.04   sine= -0.06 +/- 0.04
   tide  PHI1 0.99185312 days   cosine= 0.03 +/- 0.04   sine= -0.07 +/- 0.04
   tide  M2 0.51752505 days   cosine= 0.27 +/- 0.03   sine= 3.19 +/- 0.03
   tide  S2 0.50000000 days   cosine= -2.55 +/- 0.03   sine= -0.03 +/- 0.03
   tide  N2 0.52743117 days   cosine= 0.47 +/- 0.03   sine= 0.52 +/- 0.03
   tide  K2 0.49863479 days   cosine= 0.37 +/- 0.03   sine= -0.20 +/- 0.03
   tide  NU2 0.52608351 days   cosine= -0.07 +/- 0.03   sine= -0.07 +/- 0.03
   tide  MU2 0.53632321 days   cosine= -0.25 +/- 0.03   sine= -0.03 +/- 0.03
   tide  L2 0.50798416 days   cosine= 0.11 +/- 0.03   sine= -0.08 +/- 0.03
   tide  T2 0.50068539 days   cosine= -0.18 +/- 0.03   sine= 0.11 +/- 0.03
   tide  2N2 0.53772394 days   cosine= 0.17 +/- 0.03   sine= 0.16 +/- 0.03
   tide  EPS2 0.54696944 days   cosine= -0.12 +/- 0.03   sine= -0.04 +/- 0.03
   tide  LDA2 0.50924058 days   cosine= 0.01 +/- 0.03   sine= -0.04 +/- 0.03
   tide  ETA2 0.48977171 days   cosine= -0.02 +/- 0.03   sine= -0.03 +/- 0.03
   tide  M3 0.34501666 days   cosine= -0.00 +/- 0.02   sine= 0.09 +/- 0.02
 
 
The  estimates of offsets (both tectonic and non-tectonic) are
 
 Based upon 1st differences, the white noise is  0.36
 
 Use least squares to fit power law part of PSD
  The final estimate (but not used to estimate offset sizes
 Power law index =  0.15593308E+01
 Power law amplitude = 37.5258 for coarse samping 0.16666666666666665741 days
 Power law amplitude =  47.1869  for full sampling  0.020833333  days
 Power law amplitude for PSD =  29.4431
 White noise is  0.36
 
 The outliers are: