grdfft man page
grdfft — Do mathematical operations on grids in the wavenumber (or frequency) domain
Synopsis
grdfft ingrid [ ingrid2 ] [ Goutfiletable ] [ Aazimuth ] [ Czlevel ] [ D[scaleg] ] [ E[rxy][w[k]][n] ] [ F[rxy]params ] [ I[scaleg] ] [ Nparams ] [ Sscale ] [ V[level] ] [ fg ]
Note: No space is allowed between the option flag and the associated arguments.
Description
grdfft will take the 2D forward Fast Fourier Transform and perform one or more mathematical operations in the frequency domain before transforming back to the space domain. An option is provided to scale the data before writing the new values to an output file. The horizontal dimensions of the grid are assumed to be in meters. Geographical grids may be used by specifying the fg option that scales degrees to meters. If you have grids with dimensions in km, you could change this to meters using grdedit or scale the output with grdmath.
Required Arguments
 ingrid
2D binary grid file to be operated on. (See Grid File Formats below). For crossspectral operations, also give the second grid file ingrd2.
 Goutfile
Specify the name of the output grid file or the 1D spectrum table (see E). (See Grid File Formats below).
Optional Arguments
 Aazimuth
Take the directional derivative in the azimuth direction measured in degrees CW from north.
 Czlevel
Upward (for zlevel > 0) or downward (for zlevel < 0) continue the field zlevel meters.
 D[scaleg]
Differentiate the field, i.e., take d(field)/dz. This is equivalent to multiplying by kr in the frequency domain (kr is radial wave number). Append a scale to multiply by (kr * scale) instead. Alternatively, append g to indicate that your data are geoid heights in meters and output should be gravity anomalies in mGal. [Default is no scale].
 E[rxy][w[k]][n]
Estimate power spectrum in the radial direction [r]. Place x or y immediately after E to compute the spectrum in the x or y direction instead. No grid file is created. If one grid is given then f (i.e., frequency or wave number), power[f], and 1 standard deviation in power[f] are written to the file set by G [stdout]. If two grids are given we write f and 8 quantities: Xpower[f], Ypower[f], coherent power[f], noise power[f], phase[f], admittance[f], gain[f], coherency[f]. Each quantity is followed by its own 1std dev error estimate, hence the output is 17 columns wide. Append w to write wavelength instead of frequency. If your grid is geographic you may further append k to scale wavelengths from meter [Default] to km. Finally, the spectrum is obtained by summing over several frequencies. Append n to normalize so that the mean spectral values per frequency are reported instead.
 F[rxy]params

Filter the data. Place x or y immediately after F to filter x or y direction only; default is isotropic [r]. Choose between a cosinetapered bandpass, a Gaussian bandpass filter, or a Butterworth bandpass filter.
 Cosinetaper:
Specify four wavelengths lc/lp/hp/hc in correct units (see fg) to design a bandpass filter: wavelengths greater than lc or less than hc will be cut, wavelengths greater than lp and less than hp will be passed, and wavelengths in between will be cosinetapered. E.g., F1000000/250000/50000/10000 fg will bandpass, cutting wavelengths > 1000 km and < 10 km, passing wavelengths between 250 km and 50 km. To make a highpass or lowpass filter, give hyphens () for hp/hc or lc/lp. E.g., Fx//50/10 will lowpass x, passing wavelengths > 50 and rejecting wavelengths < 10. Fy1000/250// will highpass y, passing wavelengths < 250 and rejecting wavelengths > 1000.
 Gaussian bandpass:
Append lo/hi, the two wavelengths in correct units (see fg) to design a bandpass filter. At the given wavelengths the Gaussian filter weights will be 0.5. To make a highpass or lowpass filter, give a hyphen () for the hi or lo wavelength, respectively. E.g., F/30 will lowpass the data using a Gaussian filter with halfweight at 30, while F400/ will highpass the data.
 Butterworth bandpass:
Append lo/hi/order, the two wavelengths in correct units (see fg) and the filter order (an integer) to design a bandpass filter. At the given cutoff wavelengths the Butterworth filter weights will be 0.707 (i.e., the power spectrum will therefore be reduced by 0.5). To make a highpass or lowpass filter, give a hyphen () for the hi or lo wavelength, respectively. E.g., F/30/2 will lowpass the data using a 2ndorder Butterworth filter, with halfweight at 30, while F400//2 will highpass the data.
 Goutfiletable
Filename for output netCDF grid file OR 1D data table (see E). This is optional for E (spectrum written to stdout) but mandatory for all other options that require a grid output.
 I[scaleg]
Integrate the field, i.e., compute integral_over_z (field * dz). This is equivalent to divide by kr in the frequency domain (kr is radial wave number). Append a scale to divide by (kr * scale) instead. Alternatively, append g to indicate that your data set is gravity anomalies in mGal and output should be geoid heights in meters. [Default is no scale].
 N[fsnx/ny][+a[+dhl][+enm][+twidth][+v][+w[suffix]][+z[p]]

Choose or inquire about suitable grid dimensions for FFT and set optional parameters. Control the FFT dimension:
Nf will force the FFT to use the actual dimensions of the data.
Ns will present a list of optional dimensions, then exit.
Nnx/ny will do FFT on array size nx/ny (must be >= grid file size). Default chooses dimensions >= data which optimize speed and accuracy of FFT. If FFT dimensions > grid file dimensions, data are extended and tapered to zero.
Control detrending of data: Append modifiers for removing a linear trend:
+d: Detrend data, i.e. remove bestfitting linear trend [Default].
+a: Only remove mean value.
+h: Only remove mid value, i.e. 0.5 * (max + min).
+l: Leave data alone.
Control extension and tapering of data: Use modifiers to control how the extension and tapering are to be performed:
+e extends the grid by imposing edgepoint symmetry [Default],
+m extends the grid by imposing edge mirror symmetry
+n turns off data extension.
Tapering is performed from the data edge to the FFT grid edge [100%]. Change this percentage via +twidth. When +n is in effect, the tapering is applied instead to the data margins as no extension is available [0%].
Control messages being reported: +v will report suitable dimensions during processing.
Control writing of temporary results: For detailed investigation you can write the intermediate grid being passed to the forward FFT; this is likely to have been detrended, extended by pointsymmetry along all edges, and tapered. Append +w[suffix] from which output file name(s) will be created (i.e., ingrid_prefix.ext) [tapered], where ext is your file extension. Finally, you may save the complex grid produced by the forward FFT by appending +z. By default we write the real and imaginary components to ingrid_real.ext and ingrid_imag.ext. Append p to save instead the polar form of magnitude and phase to files ingrid_mag.ext and ingrid_phase.ext.
 Sscale
Multiply each element by scale in the space domain (after the frequency domain operations). [Default is 1.0].
 V[level] (more ...)
Select verbosity level [c].
 fg
Geographic grids (dimensions of longitude, latitude) will be converted to meters via a "Flat Earth" approximation using the current ellipsoid parameters.
 ^ or just 
Print a short message about the syntax of the command, then exits (NOTE: on Windows just use ).
 + or just +
Print an extensive usage (help) message, including the explanation of any modulespecific option (but not the GMT common options), then exits.
 ? or no arguments
Print a complete usage (help) message, including the explanation of all options, then exits.
Grid File Formats
By default GMT writes out grid as single precision floats in a COARDScomplaint netCDF file format. However, GMT is able to produce grid files in many other commonly used grid file formats and also facilitates so called "packing" of grids, writing out floating point data as 1 or 2byte integers. (more ...)
Grid Distance Units
If the grid does not have meter as the horizontal unit, append +uunit to the input file name to convert from the specified unit to meter. If your grid is geographic, convert distances to meters by supplying fg instead.
Considerations
netCDF COARDS grids will automatically be recognized as geographic. For other grids geographical grids were you want to convert degrees into meters, select fg. If the data are close to either pole, you should consider projecting the grid file onto a rectangular coordinate system using grdproject
Normalization of Spectrum
By default, the power spectrum returned by E simply sums the contributions from frequencies that are part of the output frequency. For x or yspectra this means summing the power across the other frequency dimension, while for the radial spectrum it means summing up power within each annulus of width delta_q, the radial frequency (q) spacing. A consequence of this summing is that the radial spectrum of a white noise process will give a linear radial power spectrum that is proportional to q. Appending n will instead compute the mean power per output frequency and in this case the white noise process will have a white radial spectrum as well.
Examples
To upward continue the sealevel magnetic anomalies in the file mag_0.nc to a level 800 m above sealevel:
gmt grdfft mag_0.nc C800 V Gmag_800.nc
To transform geoid heights in m (geoid.nc) on a geographical grid to freeair gravity anomalies in mGal:
gmt grdfft geoid.nc Dg V Ggrav.nc
To transform gravity anomalies in mGal (faa.nc) to deflections of the vertical (in microradians) in the 038 direction, we must first integrate gravity to get geoid, then take the directional derivative, and finally scale radians to microradians:
gmt grdfft faa.nc Ig A38 S1e6 V Gdefl_38.nc
Second vertical derivatives of gravity anomalies are related to the curvature of the field. We can compute these as mGal/m^2 by differentiating twice:
To compute crossspectral estimates for coregistered bathymetry and gravity grids, and report result as functions of wavelengths in km, try
To examine the preFFT grid after detrending, pointsymmetry reflection, and tapering has been applied, as well as saving the real and imaginary components of the raw spectrum of the data in topo.nc, try
You can now make plots of the data in topo_taper.nc, topo_real.nc, and topo_imag.nc.
See Also
gmt, grdedit, grdfilter, grdmath, grdproject, gravfft
Copyright
2017, P. Wessel, W. H. F. Smith, R. Scharroo, J. Luis, and F. Wobbe