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Greetings! Getting my hands on the data made this much easier to track down. The problem is an issue with numpy broadcasting--how it matches up arrays of different dimensions to do calculations. The solution, in addition to making sure you've included np.array() when creating levs, u, v, is to change the call to `mc.potential_vorticity_baroclinic` to: pv = mc.potential_vorticity_baroclinic(pot_temp, levs[:, None, None], u, v, dx=dx[None], dy=dy[None], latitude=lats) What the additional indexing in that line does is add dummy dimensions in the correct spot to make all of the arrays 3-dimensional, so that everything lines up properly. For more information on broadcasting in NumPy, checkout these pages: https://numpy.org/doc/stable/user/basics.broadcasting.html https://numpy.org/doc/stable/user/theory.broadcasting.html#array-broadcasting-in-numpy Cheers! Ryan > Hi Ryan, > > Great! Here is the location of the file on > cheyenne: . Please let me know if you > run into any issues. Ticket Details =================== Ticket ID: PHR-160601 Department: Support Python Priority: Low Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.