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from IPython.display import Image

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Image('/home/vdo/Pictures/SC-before29dec17.png')

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number of standard constituents used: 29
Points used: 4175 of 4176
percent of var residual after lsqfit/var original: 0.91 %
Greenwich phase computed with nodal corrections applied to amplitude and phase relative to center time
Using nonlinear bootstrapped error estimates
Generating prediction with nodal corrections, SNR is 2.000000
percent of var residual after synthesis/var original: 0.94 %
date: 19-Jan-2018
nobs = 4176, ngood = 4175, record length (days) = 29.00
start time: 30-Nov-2017
rayleigh criterion = 1.0
Greenwich phase computed with nodal corrections applied to amplitude \n and phase relative to center time
x0= 3.05, x trend= 0
var(x)= 1.1468 var(xp)= 1.1363 var(xres)= 0.010758
percent var predicted/var original= 99.1 %

tidal amplitude and phase with 95% CI estimates

tide	freq	amp	amp_err	pha	pha_err	snr
*MSF	0.0028219	0.1049	0.066	306.89	36.80	2.5
2Q1	0.0357064	0.0159	0.016	289.95	64.29	0.95
*Q1	0.0372185	0.1027	0.017	263.32	10.10	37
*O1	0.0387307	0.4753	0.020	264.02	2.28	5.8e+02
NO1	0.0402686	0.0501	0.044	30.45	49.75	1.3
*K1	0.0417807	1.1527	0.016	279.05	0.87	5.4e+03
*J1	0.0432929	0.0597	0.017	251.81	15.83	12
*OO1	0.0448308	0.0717	0.034	270.84	26.10	4.5
UPS1	0.0463430	0.0246	0.028	236.75	64.60	0.77
*N2	0.0789992	0.2333	0.041	8.25	9.38	33
*M2	0.0805114	0.9194	0.041	28.71	2.54	5e+02
*S2	0.0833333	0.2104	0.038	46.91	12.20	30
ETA2	0.0850736	0.0059	0.033	140.44	244.48	0.032
MO3	0.1192421	0.0010	0.001	41.84	94.51	0.52
*M3	0.1207671	0.0035	0.001	127.77	22.56	6.3
*MK3	0.1222921	0.0065	0.002	161.38	13.34	17
*SK3	0.1251141	0.0035	0.002	178.27	22.61	5.5
*MN4	0.1595106	0.0032	0.001	208.29	25.23	5.1
*M4	0.1610228	0.0065	0.001	258.24	12.13	20
*MS4	0.1638447	0.0057	0.001	265.40	15.57	15
S4	0.1666667	0.0013	0.001	270.31	64.68	0.97
*2MK5	0.2028035	0.0077	0.004	290.28	32.18	3.6
2SK5	0.2084474	0.0010	0.002	265.91	158.09	0.16
*2MN6	0.2400221	0.0051	0.003	1.76	30.55	4.1
*M6	0.2415342	0.0080	0.003	35.09	20.40	9.7
*2MS6	0.2443561	0.0079	0.003	59.74	17.15	8.2
2SM6	0.2471781	0.0020	0.002	37.82	82.84	0.75
3MK7	0.2833149	0.0016	0.002	49.62	63.76	0.85
*M8	0.3220456	0.0014	0.001	279.83	41.33	2.6

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