It involves application of the asynoptic form of the space-time transform,
followed by an application of the synoptic form of the inverse space-time
transform (Salby, 1982c). This procedure, in effect, unravels the mixed,
space-time dependence of asynoptic measurements , while preserving, fully,
the information content of the combined data.
2. Synoptic Retrieval Theorem
Consider an evolving field, y containing no spectral contribution
outside the regions allowed by both asynoptic sampling and equivalent (same
number of nodes), twice-daily synoptic sampling. Then given combined,
asynoptic observations of y over an integer number of days, its space-time
spectrum, y, can be uniquely constructed (Salby, 1982c). The resolvable
wavenumbers and frequencies where Y is determinable, overlap with those
corresponding to twice-daily, synoptic observations. A two-dimensional
extension of the Sampling Theorem (see B4th, 1974) uniquely relates the
space-time spectrum to the uniformly incremented synoptic series. Therefore,
the synoptic sequence (x.t) follows from the asynoptic sequence "uniquely."
Theorem
Let y(A,t) contain no spectral contribution outside the region
permitted by both combined asynoptic and equivalent, twice-daily synoptic
sampling. Then, corresponding to a combined asynoptic sequence of observations
of y, over an integer number of days, there exists one, and only one,
twice-daily, synoptic sequence of alias-free maps.
The proof may be found in Salby (1982b).
3. Fast Fourier Synoptic Mapping
The uniqueness between alias-free asynoptic measurements and
synoptic sequences, established in the Synoptic Retrieval Theorem, follows
from their one-to-one correspondence with their common space-time spectra.
In particular, the synoptic behavior and space-time spectra are uniquely
related by the Sampling Theorem. This holds regardless of how the space-
time spectrum is obtained. Therefore, once the space-time spectrum is
constructed, e.g. by the asynoptic form of the space-time transform (Salby,
1982a,c), the synoptic evolution may be recovered by inverting the space-
time transform synoptically. Some components resolvable in asynoptic data,
however, are not resolvable in twice-daily, synoptic observations, and vice
versa (see Fig. 1). Consequently, some features resolvable in comb i ned
asynoptic data, cannot be retrieved in a twice-daily synoptic sequence.
Fast Fourier Synoptic Mapping (FFSM), in short, involves two FFT's
of the asynoptic data: one of the ascending sequence and one of the de-
scending sequence. Space-time spectra then follow analytically via the
Asynoptic Sampling Theorem (Salby, 1982a). Finally, the synoptic behavior
is recovered by a double FFT along wavenumber and frequency over the spectra
permitted in both types of data (see Fig. 1). The reader is referred to
Salby (1982b) for the details.
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