## SYNOPSIS

CALL CSA3S (NI, XI, UI, KNOTS, NXO, NYO, NZO, XO, YO, ZO,UO, NWRK, WORK, IER)

## DESCRIPTION

- NI
- (integer,input) The number of input data points. It must be that NI .gt. 3 and, depending on the size of KNOTS below, NI may have to be larger.
- XI
- (real, input) An array containing the X - Y - Z coordinates of the input data points. XI is dimensioned for 3 x NI. XI(1,L) is the X coordinate, XI(2,L) is the Y coordinate, and XI(2,L) is the Z coordinate for the input domain for L=1,NI.
- UI
- (real, input) An array dimensioned for NI containing function values at the input XI values, that is, UI(L) is the value of the input function at XI(L) for L=1,NI.
- KNOTS
- (integer, input) An array dimensioned for 3 containing the number of knots to be used in each coordinate direction for constructing the approximation spline. KNOTS(I) must be at least 4 for I=1,3. The larger the value for KNOTS, the closer the approximated curve will come to passing through the input function values.
- NXO
- (integer, input) The number of X coordinate values in the output grid.
- NYO
- (integer, input) The number of Y coordinate values in the output grid.
- NZO
- (integer, input) The number of Z coordinate values in the output grid.
- XO
- (real, input) An array dimensioned for NXO containing the X coordinates of the output surface.
- YO
- (real, input) An array dimensioned for NYO containing the Y coordinates of the output surface.
- ZO
- (real, input) An array dimensioned for NZO containing the Y coordinates of the output surface.
- UO
- (real, output) An array dimensioned for NXO x NYO x NZO containing the calculated function values for the output function. UO(I,J,K) is the calculated functional value at (XO(I), YO(J), ZO(K)) for I=1,NXO and J=1,NYO and K=1,NZO.
- NWRK
- (integer, input) The size of the WORK array. NWRK must be at least NK * (NK+3) where NK = KNOTS(1) * KNOTS(2) * KNOTS(3).
- WORK
- (real, input) A work array dimensioned for NWRK.
- IER
- (integer, output) An error return value. If IER is returned as 0, then no errors were detected. If IER is non-zero, then refer to the man page for csagrid_errors for details.

## USAGE

CSA3S is called to find an approximating cubic spline for three-dimensional input data. If you want to weight the input data values, calculate derivatives, or handle data sparse areas specially, then you will need to use CSA3S.## ACCESS

To use CSA3XS, load the NCAR Graphics library ngmath.## COPYRIGHT

Copyright (C) 2000University Corporation for Atmospheric Research

The use of this Software is governed by a License Agreement.