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"# Dfs2 - Snow Compare\n",
"\n",
"## Using This Notebook\n",
"\n",
"- Provides a simple differencing tool to compare two Dfs2 files, in\n",
" this case MIKE SHE and MODIS snow cover\n",
"- Due to the ipywidgets controls which dynamically query Dfs2 files,\n",
" this notebook requires local execution\n",
"- Modify the inputs section cell to provide file paths and then\n",
" execute all cells\n",
"- Use the horizontal slider controls in the Analysis section to move\n",
" back and forth in time for each Dfs2. A simple grid calculation will\n",
" be performed showing which cells have lower, similar, or higher\n",
" values, allowing you to identify areas of concern for further\n",
" investigation\n",
"\n",
"## Environment Setup\n",
"\n",
"- The following packages were used at the time of development, and you\n",
" may be able to use more recent versions:\n",
" - ipykernel 6.29.0\n",
" - mikeio 1.6.3\n",
" - matplotlib 3.8.2\n",
" - ipywidgets 8.1.5"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "943e114a",
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"source": [
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import mikeio\n",
"import ipywidgets as widgets"
]
},
{
"cell_type": "markdown",
"id": "fcbeda79-97d1-4679-b5a7-5870d1caf282",
"metadata": {},
"source": [
"## Inputs Section"
]
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"id": "9199d0a6",
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"mikeSheSnowDfs2Path = \"../tests/testdata/MikeSheExtract.dfs2\"\n",
"modisSnowDfs2Path = \"../tests/testdata/ModisExtract.dfs2\"\n",
"\n",
"mikeSheSnowDfs2 = mikeio.read(mikeSheSnowDfs2Path)\n",
"modisSnowDfs2 = mikeio.read(modisSnowDfs2Path)"
]
},
{
"cell_type": "markdown",
"id": "e0649263-9291-45f3-b692-46b864503d83",
"metadata": {},
"source": [
"## Functions Section"
]
},
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"def sliders_changed(msheSlider, modisSlider):\n",
" modisItemName = 'Snow Cover'\n",
" msheItemName = 'Fraction of cell area covered by Snow'\n",
"\n",
" timeIndex = modisSnowDfs2[modisItemName].time.get_loc(modisSlider)\n",
" modisSingleTimestep = modisSnowDfs2[modisItemName].isel(\n",
" time=timeIndex) / 100.0\n",
"\n",
" timeIndex = mikeSheSnowDfs2[msheItemName].time.get_loc(msheSlider)\n",
" mikeSheSingleTimestep = mikeSheSnowDfs2[msheItemName].isel(time=timeIndex)\n",
"\n",
" # use nans in MSHE to set nans in MODIS to mask out catchment\n",
" modisSingleTimestep.values = np.where(np.isnan(\n",
" mikeSheSingleTimestep.values), mikeSheSingleTimestep.values, modisSingleTimestep.values)\n",
" modisSingleDataArray = modisSingleTimestep.to_xarray()\n",
" modisSingleDataArray.attrs['units'] = 'Fraction'\n",
"\n",
" # 3 column layout\n",
" fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(21, 5))\n",
" modisSingleDataArray.plot.pcolormesh(\n",
" ax=ax1, vmin=0.0, vmax=1.0, cmap=\"jet\")\n",
" ax1.set_title('MODIS')\n",
"\n",
" mikeSheSingleDataArray = mikeSheSingleTimestep.to_xarray()\n",
" mikeSheSingleDataArray.attrs['units'] = 'Fraction'\n",
" mikeSheSingleDataArray.plot.pcolormesh(\n",
" ax=ax2, vmin=0.0, vmax=1.0, cmap=\"jet\")\n",
" ax2.set_title('MIKE SHE')\n",
"\n",
" diff = modisSingleTimestep.copy()\n",
" diff.values = modisSingleTimestep.values - mikeSheSingleTimestep.values\n",
"\n",
" categories = ['MSHE Higher', 'Similar', 'Similar', 'MODIS Higher']\n",
" colors = ['yellow', 'green', 'red']\n",
" boundaries = [-1.0, -0.1, 0.1, 1.0]\n",
"\n",
" cmap = mpl.colors.ListedColormap(colors)\n",
" norm = mpl.colors.BoundaryNorm(boundaries, cmap.N)\n",
"\n",
" diffPlot = diff.to_xarray().plot.pcolormesh(ax=ax3, cmap=cmap, norm=norm)\n",
" cbar = diffPlot.colorbar\n",
" cbar.set_ticklabels(categories)\n",
" cbar.set_label(None)\n",
"\n",
" ax3.set_title('Difference (MODIS - MIKE SHE)')\n",
" plt.tight_layout()\n",
"\n",
"\n",
"style = {'description_width': 'initial'}\n",
"\n",
"msheSlider = widgets.SelectionSlider(\n",
" options=mikeSheSnowDfs2.time,\n",
" value=mikeSheSnowDfs2.time[0],\n",
" description='MSHE Timestep',\n",
" disabled=False,\n",
" continuous_update=False,\n",
" orientation='horizontal',\n",
" readout=True,\n",
" style=style,\n",
" layout=widgets.Layout(width='800px', margin='0 30px 0 0 ')\n",
")\n",
"\n",
"# constrain the modis timesteps to the mshe, as modis covers far more\n",
"modis_time_slicer = modisSnowDfs2.time.slice_indexer(\n",
" start=mikeSheSnowDfs2.time[0], end=mikeSheSnowDfs2.time[-1])\n",
"filtered_modis_times = modisSnowDfs2.time[modis_time_slicer]\n",
"\n",
"modisSlider = widgets.SelectionSlider(\n",
" options=filtered_modis_times,\n",
" value=filtered_modis_times[0],\n",
" description='MODIS Timestep',\n",
" disabled=False,\n",
" continuous_update=False,\n",
" orientation='horizontal',\n",
" readout=True,\n",
" style=style,\n",
" layout=widgets.Layout(width='800px', margin='0 30px 0 0 ')\n",
")"
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"## Analysis Section"
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"ui = widgets.HBox([modisSlider, msheSlider])\n",
"out = widgets.interactive_output(sliders_changed, {'msheSlider' : msheSlider, 'modisSlider' : modisSlider})\n",
"display(ui, out)"
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