1 / 21

Euler predicted free nutation of the rotating Earth in 1755 Discovered by Chandler in 1891

Rotating solid. Euler predicted free nutation of the rotating Earth in 1755 Discovered by Chandler in 1891 Data from International Latitude Observatories setup in 1899 . Monthly data,  t = 1 month. Work with complex-values, Z(t) = X(t) + iY (t).

lynna
Download Presentation

Euler predicted free nutation of the rotating Earth in 1755 Discovered by Chandler in 1891

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Rotating solid Euler predicted free nutation of the rotating Earth in 1755 Discovered by Chandler in 1891 Data from International Latitude Observatories setup in 1899

  2. Monthly data, t = 1 month. Work with complex-values, Z(t) = X(t) + iY(t). Compute the location differences, Z(t), and then the finite FT dZT() = t=0T-1exp {-it}[Z(t+1)-Z(t)] Periodogram IZZT() = (2T)-1|dZT()|2

  3. variance

  4. Appendix C. Spectral Domain Theory

  5. 4.3 Spectral distribution function Cp. rv’s

  6. fis non-negative, symmetric(, periodic) White noise. (h) = cov{xt+h,xt} = w2 h=0 and otherwise = 0 f() = w2

  7. dF()/d = f() if differentiable dF() = f()d

  8. Dirac delta function, () a generalized function simplifies many t.s. manipulations r.v. X Prob{X = 0} = 1 P(x) = Prob{X  x} = 1 if x  0 = 0 if x < 0 = H(x) Heavyside E{g(X)} = g(0) =  g(x) dP(x) =  g(x) (x) dx (x)  density function = dH(x)/dx

  9. Approximant X  N(0,2 ) (x/)/ with  small E{g(X)}  g(0) cov{dZ(1),dZ(2)} = (1 – 2) f(1) d 1 d 2 Means 0 cov{X,Y} = E{X conjg(Y)} var{X} = E{|X|2}

  10. Example. Bay of Fundy

  11. flattened

  12. Periodogram “sample spectral density” Mean“correction”

  13. Non parametric spectral estimation. L = 2m+1

More Related