wipp30

Observed water levels and barometric pressure from
well WIPP30 (WIPP: Waste Isolation Pilot Plant)

datasets

Produces power spectral density estimates through iterative
refinement of the optimal number of sine-tapers at each frequency. This
optimization procedure is based on the method of Riedel and Sidorenko
(1995), which minimizes the Mean Square Error (sum of variance and bias)
at each frequency, but modified for computational stability. The same
procedure can now be used to calculate the cross spectrum (multivariate
analyses).

Andrew Barbour

Adaptive, Sine-Multitaper Power Spectral Density and Cross
Spectrum Estimation

Jonathan Kennel

wipp30 function

A matrix with 13413 rows following 4 variables.
<dl>
<dt><code>time</code></dt>
<dd>Time (hours)</dd><dt><code>wl</code></dt>
<dd>Water levels (psi)</dd><dt><code>baro</code></dt>
<dd>Barometric pressure (psi)</dd><dt><code>et</code></dt>
<dd>Earth tide gravity potential (nanometers/second^2)</dd>
</dl>

Format

Water levels from borehole WIPP30 — wipp30

A matrix with 13413 rows following 4 variables.
<dl>
<dt><code>time</code></dt>
<dd>Time (hours)</dd>

<dt><code>wl</code></dt>
<dd>Water levels (psi)</dd>

<dt><code>baro</code></dt>
<dd>Barometric pressure (psi)</dd>

<dt><code>et</code></dt>
<dd>Earth tide gravity potential (nanometers/second^2)</dd>


</dl>

wipp30: Water levels from borehole WIPP30

Description

Arguments

Format

Details

References

See Also

Examples