schismCheck (input visualization)

  • one can find the location of schismcheck by executing the following code. Then, running it in your schism run directory
    python -c "from pylib import *; print(path_scripts+'/schismcheck')". For ealier pylibs versions, use
    python -c "from pylib import *; print(mylib.__file__[:-16]+'Scripts/schismcheck')"

  • schismcheck is still under development/testing mode (please report bugs either on SCHISM maillist or to wzhengui@gmail.com), but it is now able to view most of SCHISM inputs in different ways. It is a good way of sanity check for your model inputs. So far, 5 types of inputs are supported (see figures below).

  • dimension operations
    the following dimension opertations are provided for the data. schismcheck can only plot 1D or 2D data, which will plot as time series, 2D contour plot, or scatter plot.

    1. all: extract all data along dimension
    2. mean: compute mean value along dimension
    3. min: compute minimum value along dimension
    4. max: compute maximum value along dimension
    5. sum: compute sum of value along dimension
    6. number (0-n): extract data slice along dimension
      note: all operation will add an one dimension to your data to be plotted.

  • *.gr3, hgrid.ll, *.ic, *.prop: Plot value as contour. SCHISM grid and boundary can be superposed.

    '1'

  • *_nu.nc, *_th.nc: After data (1D or 2D) is extracted, it will be plotted as time series or 2D contour. For nudge 1D data, it can also be plotted on schism grid.

    '2'

  • hotstart.nc: data will be plotted as time series or 2D contour; For 1D data with dimension=node or elem, it will be plotted as contours on schism grid.

    '3'

  • source.nc or source_input (source_sink.in, vsource, msource, vsink): data will be plotted as time series or 2D contour; For 1D data with dimension=source_number, it can be plotted as scatter points on schsim grid.

    '4'

  • *.th: data will be plotted as time series (1D data) or 2D contour (2D data)

    '5'