scientimate.swanvectorvarspconst#

swanvectorvariable = scientimate.swanvectorvarspconst(Vx, Vy, savedata='no', outfilename='swanwind.wnd', outfilelocation=None)

Description#

Generate SWAN file for spatially constant vector variable

Inputs#

Vx: Variable in x direction (x component of input variable)

If size of Vx>1, then it is considered as a time series

1st element is 1st time step, 2nd element is 2nd time step, …
Vy: Variable in y direction (y component of input variable)

Should have a same size as Vx
savedata=’no’: Define if save data in a file or not

‘no’: does not save

‘yes’: save data as ascii file
outfilename=’swanwind.wnd’: Name of output file between ‘ ‘ mark, example: ‘swanwind.wnd’

outfilename should have proper name and extension
outfilelocation=pwd: Location of output file between ‘ ‘ mark, example: ‘C:' in MATLAB, or ‘C:/’ in Python

Outputs#

swanvectorvariable: Spatially constant vector variable formated for SWAN

Note: Vector variable at each time step is assigned into 4 points,

assuming the vector variable domain is defined by 4 points, one at each corner

Examples#

import scientimate as sm

windvelx=[10.5,10.6,10.55] #Data for 3 time steps
windvely=[2.5,2.6,2.55] #Data for 3 time steps
savedata='no'
outfilename='swanwind.wnd'
outfilelocation=None
swanvectorvariable=sm.swanvectorvarspconst(windvelx,windvely,savedata,outfilename,outfilelocation)

References#

Booij, N. R. R. C., Ris, R. C., & Holthuijsen, L. H. (1999). A third‐generation wave model for coastal regions: 1. Model description and validation. Journal of geophysical research: Oceans, 104(C4), 7649-7666.

SWAN Team. (2007). S WAN user manual. Delft University of Technology. The Netherlands.

scientimate.swanvectorvarspconst

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