.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/ftle/plot_qge_ftle.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_ftle_plot_qge_ftle.py: Quasi-geostrophic FTLE ====================== Compute the FTLE field for the QGE. .. GENERATED FROM PYTHON SOURCE LINES 8-19 .. code-block:: Python # Author: ajarvis # Data: We thank Changhong Mou and Traian Iliescu for providing us with this dataset # and allowing it to be used here. import numpy as np from math import copysign import matplotlib.pyplot as plt from numbacs.flows import get_interp_arrays_2D, get_flow_2D from numbacs.integration import flowmap_grid_2D from numbacs.diagnostics import ftle_grid_2D .. GENERATED FROM PYTHON SOURCE LINES 20-24 Get flow data -------------- Load velocity data, set up domain, set the integration span and direction, create interpolant of velocity data and retrieve necessary arrays. .. GENERATED FROM PYTHON SOURCE LINES 24-48 .. code-block:: Python # load in qge velocity data u = np.load("../data/qge/qge_u.npy") v = np.load("../data/qge/qge_v.npy") # set up domain nt, nx, ny = u.shape x = np.linspace(0, 1, nx) y = np.linspace(0, 2, ny) t = np.linspace(0, 1, nt) dx = x[1] - x[0] dy = y[1] - y[0] # set integration span and integration direction t0 = 0.0 T = 0.1 params = np.array([copysign(1, T)]) # important this is an array of type float # get interpolant arrays of velocity field grid_vel, C_eval_u, C_eval_v = get_interp_arrays_2D(t, x, y, u, v) # get flow to be integrated funcptr = get_flow_2D(grid_vel, C_eval_u, C_eval_v, extrap_mode="linear") .. GENERATED FROM PYTHON SOURCE LINES 49-52 Integrate --------- Integrate grid of particles and return final positions. .. GENERATED FROM PYTHON SOURCE LINES 52-54 .. code-block:: Python flowmap = flowmap_grid_2D(funcptr, t0, T, x, y, params) .. GENERATED FROM PYTHON SOURCE LINES 55-58 FTLE ---- Compute FTLE field from final particle positions. .. GENERATED FROM PYTHON SOURCE LINES 58-60 .. code-block:: Python ftle = ftle_grid_2D(flowmap, T, dx, dy) .. GENERATED FROM PYTHON SOURCE LINES 61-64 Plot ---- Plot the results. .. GENERATED FROM PYTHON SOURCE LINES 64-68 .. code-block:: Python fig, ax = plt.subplots(dpi=200) ax.contourf(x, y, ftle.T, levels=100) ax.set_aspect("equal") plt.show() .. image-sg:: /auto_examples/ftle/images/sphx_glr_plot_qge_ftle_001.png :alt: plot qge ftle :srcset: /auto_examples/ftle/images/sphx_glr_plot_qge_ftle_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 4.375 seconds) .. _sphx_glr_download_auto_examples_ftle_plot_qge_ftle.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_qge_ftle.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_qge_ftle.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_qge_ftle.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_