diff --git a/.github/workflows/tests+pypi.yml b/.github/workflows/tests+pypi.yml
index afa57efe..c7ce45f2 100644
--- a/.github/workflows/tests+pypi.yml
+++ b/.github/workflows/tests+pypi.yml
@@ -236,6 +236,7 @@ jobs:
         run: |
           mkdir -p /home/runner/work/_temp/_github_home/figures
           mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/fig_4.svg /home/runner/work/_temp/_github_home/figures
+          mv /tmp/pytest-of-runner/pytest-current/test_run_notebooks_examples_*/advection_diffusion.gif /home/runner/work/_temp/_github_home/figures
         
       - if: ${{ github.ref == 'refs/heads/main' && matrix.platform == 'ubuntu-latest' && matrix.python-version == '3.11'}}
         uses: eine/tip@master
diff --git a/examples/PyMPDATA_examples/__init__.py b/examples/PyMPDATA_examples/__init__.py
index 68e7940f..4e88a725 100644
--- a/examples/PyMPDATA_examples/__init__.py
+++ b/examples/PyMPDATA_examples/__init__.py
@@ -1,6 +1,8 @@
 """
 PyMPDATA_examples package includes common Python modules used in PyMPDATA smoke tests
-and in example notebooks (but the package wheels do not include the notebooks)
+and in example notebooks (but the package wheels do not include the notebooks).
+![adv_diff](https://github.com/open-atmos/PyMPDATA/releases/download/tip/advection_diffusion.gif)
+
 """
 
 from importlib.metadata import PackageNotFoundError, version
diff --git a/examples/PyMPDATA_examples/advection_diffusion_2d/__init__.py b/examples/PyMPDATA_examples/advection_diffusion_2d/__init__.py
new file mode 100644
index 00000000..8412e802
--- /dev/null
+++ b/examples/PyMPDATA_examples/advection_diffusion_2d/__init__.py
@@ -0,0 +1,3 @@
+"""
+PyMPDATA 2D advection-diffusion example with gif creation.
+"""
diff --git a/examples/PyMPDATA_examples/advection_diffusion_2d/advection-diffusion-2d.ipynb b/examples/PyMPDATA_examples/advection_diffusion_2d/advection-diffusion-2d.ipynb
new file mode 100644
index 00000000..67cc62dd
--- /dev/null
+++ b/examples/PyMPDATA_examples/advection_diffusion_2d/advection-diffusion-2d.ipynb
@@ -0,0 +1,418 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e333839d",
+   "metadata": {},
+   "source": [
+    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/open-atmos/PyMPDATA.git/main?urlpath=lab/tree/examples/PyMPDATA_examples/advection_diffusion_2d/advection-diffusion-2d.ipynb)\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-atmos/examples/blob/main/examples/PyMPDATA_examples/advection_diffusion_2d/advection-diffusion-2d.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "43d2893d-f472-43ac-ad5b-bf342a3783b9",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:26.426280Z",
+     "start_time": "2024-09-06T09:33:25.835433Z"
+    }
+   },
+   "source": [
+    "from open_atmos_jupyter_utils import show_plot"
+   ],
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:26.710248Z",
+     "start_time": "2024-09-06T09:33:26.426280Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import os\n",
+    "import numpy as np\n",
+    "import imageio\n",
+    "from IPython.display import display\n",
+    "from ipywidgets import FloatProgress\n",
+    "import matplotlib.pyplot as plt\n",
+    "from PyMPDATA import Solver, ScalarField, VectorField, Stepper, Options\n",
+    "from PyMPDATA.boundary_conditions import Periodic"
+   ],
+   "id": "9aaadc4a5234804a",
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:26.714536Z",
+     "start_time": "2024-09-06T09:33:26.710248Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "mu = 0.0005 # diffusion coefficient\n",
+    "dt = 0.025\n",
+    "tmax = 5.0\n",
+    "nt = int(tmax / dt)\n",
+    "\n",
+    "nx = 32\n",
+    "ny = 32\n",
+    "ux  = 0.25\n",
+    "uy = 0.25\n",
+    "\n",
+    "omega = np.pi\n",
+    "\n",
+    "min_x, min_y = -1, -1\n",
+    "max_x, max_y = 1, 1\n",
+    "dx = (max_x - min_x) / nx\n",
+    "dy = (max_y - min_y) / ny\n",
+    "Cx = ux * dt / dx\n",
+    "Cy = uy * dt / dy"
+   ],
+   "id": "a563a769a256feba",
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:27.142393Z",
+     "start_time": "2024-09-06T09:33:27.139022Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "opt = Options(n_iters=3, non_zero_mu_coeff=True)\n",
+    "boundary_conditions = (Periodic(), Periodic())"
+   ],
+   "id": "9a0f60b51e32ce3e",
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:27.463192Z",
+     "start_time": "2024-09-06T09:33:27.459668Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "def analytic_solution(x, y, t):\n",
+    "    return np.sin(omega*(x-ux*t+y-uy*t))*np.exp(-2*mu*t*omega**2) + 1"
+   ],
+   "id": "cab790be5c425ea5",
+   "outputs": [],
+   "execution_count": 5
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:27.696725Z",
+     "start_time": "2024-09-06T09:33:27.687964Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "def z(t):\n",
+    "    return np.array(\n",
+    "    [\n",
+    "        analytic_solution(x, y, t=t) for x in np.linspace(min_x, max_x, nx)\n",
+    "        for y in np.linspace(min_y, max_y, ny)\n",
+    "    ],\n",
+    "    dtype=float\n",
+    ").reshape((nx, ny))\n",
+    "\n",
+    "advectee = ScalarField(data=z(t=0), halo=opt.n_halo, boundary_conditions=boundary_conditions)"
+   ],
+   "id": "b454a74473b8f900",
+   "outputs": [],
+   "execution_count": 6
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:28.441977Z",
+     "start_time": "2024-09-06T09:33:28.437960Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "field_x = np.full((nx+1, ny), Cx, dtype=opt.dtype)\n",
+    "field_y = np.full((nx, ny+1), Cy, dtype=opt.dtype)\n",
+    "\n",
+    "advector = VectorField(\n",
+    "    data=(field_x, field_y),\n",
+    "    halo=opt.n_halo,\n",
+    "    boundary_conditions=(boundary_conditions[0], Periodic())\n",
+    ")"
+   ],
+   "id": "fb28f958a4920cd",
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:29.248347Z",
+     "start_time": "2024-09-06T09:33:28.925906Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "stepper = Stepper(options=opt, n_dims=2)\n",
+    "solver = Solver(stepper=stepper, advector=advector, advectee=advectee)"
+   ],
+   "id": "45c8ea60d8490cd4",
+   "outputs": [],
+   "execution_count": 8
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:29.252473Z",
+     "start_time": "2024-09-06T09:33:29.249364Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "vmin = np.min(solver.advectee.get())\n",
+    "vmax = np.max(solver.advectee.get())"
+   ],
+   "id": "bd4722c47297508c",
+   "outputs": [],
+   "execution_count": 9
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:33:30.257084Z",
+     "start_time": "2024-09-06T09:33:29.523763Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "plt.imshow(solver.advectee.get().copy(), cmap='viridis', vmin=vmin, vmax=vmax)\n",
+    "plt.colorbar()\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.title('Initial condition')\n",
+    "show_plot()"
+   ],
+   "id": "d7a5cd43651621e6",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ],
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"374.34235pt\" height=\"325.986375pt\" viewBox=\"0 0 374.34235 325.986375\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2024-09-06T11:33:30.205644</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.9.0, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: 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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "HBox(children=(HTML(value=\"<a href='.\\\\tmpticf40e0.pdf' target='_blank'>.\\\\tmpticf40e0.pdf</a><br>\"), HTML(val…"
+      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "136af6436ac24094b27677f8ddff7aad"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 10
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:34:10.460749Z",
+     "start_time": "2024-09-06T09:33:30.258075Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "progbar = FloatProgress(value=0, min=0, max=1)\n",
+    "display(progbar)\n",
+    "\n",
+    "states_history = [solver.advectee.get().copy()]\n",
+    "for i in range(nt//10):\n",
+    "    solver.advance(n_steps=10, mu_coeff=(mu, mu))\n",
+    "    states_history.append(solver.advectee.get().copy())\n",
+    "    progbar.value = (i + 1.) / (nt//10)"
+   ],
+   "id": "2b279996b00be430",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "FloatProgress(value=0.0, max=1.0)"
+      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "379bd59874384a0ebacd89b564e39953"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 11
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:34:10.906429Z",
+     "start_time": "2024-09-06T09:34:10.461745Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "plt.imshow(solver.advectee.get().copy(), cmap='viridis', vmin=vmin, vmax=vmax)\n",
+    "plt.colorbar()\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.title('Final condition')\n",
+    "show_plot()"
+   ],
+   "id": "2576fcdbfa20c032",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ],
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+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "HBox(children=(HTML(value=\"<a href='.\\\\tmp28jhi9uc.pdf' target='_blank'>.\\\\tmp28jhi9uc.pdf</a><br>\"), HTML(val…"
+      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "f0b819655ca540aca67b724163621470"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 12
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:34:45.486389Z",
+     "start_time": "2024-09-06T09:34:45.479218Z"
+    }
+   },
+   "cell_type": "code",
+   "source": "assert np.allclose(solver.advectee.get(), z(t=nt*dt), atol=0.25)",
+   "id": "556684f5a2e2483d",
+   "outputs": [],
+   "execution_count": 19
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:34:18.324878Z",
+     "start_time": "2024-09-06T09:34:16.129557Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "os.makedirs(\"animation\", exist_ok=True)\n",
+    "for i, state in enumerate(states_history):\n",
+    "    state = np.flipud(state)\n",
+    "    plt.imshow(state, cmap='viridis')\n",
+    "    plt.axis('off')\n",
+    "    plt.tight_layout()\n",
+    "    plt.colorbar()\n",
+    "    plt.savefig(f\"animation/frame_{i:03d}.png\")\n",
+    "    plt.close()"
+   ],
+   "id": "cc07e0075e5b9857",
+   "outputs": [],
+   "execution_count": 14
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:34:19.600400Z",
+     "start_time": "2024-09-06T09:34:19.595140Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "def merge_images_into_gif(image_folder, gif_name, duration=0.01):\n",
+    "    with imageio.get_writer(gif_name, mode='I', duration=duration) as writer:\n",
+    "        for filename in sorted(os.listdir(image_folder)):\n",
+    "            image = imageio.v3.imread(os.path.join(image_folder, filename))\n",
+    "            writer.append_data(image)"
+   ],
+   "id": "1888a38e39bf2395",
+   "outputs": [],
+   "execution_count": 15
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-09-06T09:34:20.915947Z",
+     "start_time": "2024-09-06T09:34:20.179615Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "merge_images_into_gif(\"animation\", \"advection_diffusion.gif\", duration=0.01)"
+   ],
+   "id": "52bc22d60805baa6",
+   "outputs": [],
+   "execution_count": 16
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "source": "",
+   "id": "5403105d000206da",
+   "outputs": [],
+   "execution_count": null
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/setup.py b/examples/setup.py
index 602c2cd3..9b8678d7 100644
--- a/examples/setup.py
+++ b/examples/setup.py
@@ -34,6 +34,7 @@ def get_long_description():
         "pint",
         "joblib",
         "sympy",
+        "imageio",
     ],
     author="https://github.com/open-atmos/PyMPDATA/graphs/contributors",
     license="GPL-3.0",