Plotting streamlines of the velocity field within an ice sheet

[verhaegenyoni]

Hi all,

I have a flow field with horizontal (realxh) and vertical (realzh) coordinates and ice flow velocities (vertical (wi) and horizontal (ui)), and I want to plot 2D velocity vectors within the ice sheet. I can do it with quiver:

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fig, ax = plt.subplots() ax.quiver(realxh[0:nz,0:nx-1], realzh[0:nz,0:nx-1], ui[0:nz,0:nx-1], wi[0:nz,0:nx-1]*(domainsize/(np.max(sur)-np.min(bed))),color='b') ax.set_title('Ice sheet 2D flow field') plt.ylabel('Elevation (m)') plt.xlabel('Distance (m)') plt.show()

which results in the plot in attachment. I think it looks okay, but the vectors at the right are quite big (so big they go out the ice sheet outlines) and at the bottom they are quite small. I therefore wanted to try streamlines instead of quiver (which should plot continuous lines of the ice flow instead of vectors), to make it look more aesthetic/realistic:

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fig, ax = plt.subplots() ax.streamplot(realxh[0:nz,0:nx-1], realzh[0:nz,0:nx-1], ui[0:nz,0:nx-1], wi[0:nz,0:nx-1]*(domainsize/(np.max(sur)-np.min(bed))),color='b') ax.set_title('Ice sheet 2D flow field') plt.ylabel('Elevation (m)') plt.xlabel('Distance (m)') plt.show()

But it results in the following error:

Error:
Traceback (most recent call last):
  File "/Users/yv/PycharmProjects/icesheet/main.py", line 382, in <module>
    ax.streamplot(realxh[0:nz,0:nx-1], realzh[0:nz,0:nx-1], ui[0:nz,0:nx-1], wi[0:nz,0:nx-1]*(domainsize/(np.max(sur)-np.min(bed))),color='b')
  File "/Users/yv/PycharmProjects/icesheet/.venv/lib/python3.12/site-packages/matplotlib/streamplot.py", line 342, in __init__
    raise ValueError("The columns of 'y' must be equal")
ValueError: The columns of 'y' must be equal

Does anyone know how to resolve this? Apparently the shape of my coordinate files are not valid in this case. I have looked online for hours but did not find the answer. It works fine for quiver, but not for streamlines. I put the .mat files of the matrices in attachment (zip) so you can test it out (can be done by from scipy.io import loadmat). You can put nx= 31, nz = 15, and domainsize/(np.max(sur)-np.min(bed)) = 175. The latter scale factor is done to scale the y-axis with the size of the x-axis (the vertical ice thickness and its discretization scheme is lots thinner than the ice sheet horizontal extent).

Larz60+ write Mar-21-2024, 10:31 AM:
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[verhaegenyoni]

Nobody?:(