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@jbusecke
Created August 29, 2018 13:07
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Converting 2D coordinates from cell center to bound with xgcm.autogenerate"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/juliusbusecke/miniconda/envs/standard/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
" return f(*args, **kwds)\n",
"/Users/juliusbusecke/miniconda/envs/standard/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
" return f(*args, **kwds)\n"
]
}
],
"source": [
"import xarray as xr\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from xgcm.autogenerate import generate_grid_ds\n",
"from xgcm import Grid\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Recreate simple grid from xESMF docs"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = np.arange(20).reshape(4, 5)\n",
"\n",
"# cell centers\n",
"lon, lat = np.meshgrid(np.linspace(-20, 20, 5), np.linspace(0, 30, 4))\n",
"lon += lat/3\n",
"lat += lon/3\n",
"\n",
"# cell corners\n",
"lon_b, lat_b = np.meshgrid(np.linspace(-25, 25, 6), np.linspace(-5, 35, 5))\n",
"lon_b += lat_b/3\n",
"lat_b += lon_b/3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The autogenerate module works only on xarray datasets.\n",
"Numpy array input could be internally wrapped in a dummy array like below."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"ds = xr.DataArray(data, coords={'lon': (('i', 'j'), lon), 'lat': (('i', 'j'), lat)},\n",
" dims=['i', 'j']).to_dataset(name='dummy')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The only thing that needs to be specified are the logical axes and the postitional mapping (in this case we want to generate `outer` dimensions from `center` input)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (i: 4, i_outer: 5, j: 5, j_outer: 6)\n",
"Coordinates:\n",
" lon (i, j) float64 -20.0 -10.0 0.0 10.0 20.0 -16.67 -6.667 3.333 ...\n",
" lat (i, j) float64 -6.667 -3.333 0.0 3.333 6.667 4.444 7.778 11.11 ...\n",
" * i (i) int64 0 1 2 3\n",
" * i_outer (i_outer) float64 -0.5 0.5 1.5 2.5 3.5\n",
" * j (j) int64 0 1 2 3 4\n",
" * j_outer (j_outer) float64 -0.5 0.5 1.5 2.5 3.5 4.5\n",
"Data variables:\n",
" dummy (i, j) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_post = generate_grid_ds(ds, {'X':'i', 'Y':'j'}, position=('center', 'outer'))\n",
"ds_post"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This has created the new dimensions `i_outer` a `j_outer`. This is all we need to generate the 2d coordinates for the cell boundaries with the \"standard\" xgcm interpolation for each logical dimension."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"grid = Grid(ds_post, periodic=False)\n",
"bnd = 'extrapolate'\n",
"ds_post['lon_b'] = grid.interp(\n",
" grid.interp(ds_post['lon'], 'X', boundary=bnd),\n",
" 'Y', boundary=bnd)\n",
"ds_post['lat_b'] = grid.interp(\n",
" grid.interp(ds_post['lat'], 'X', boundary=bnd),\n",
" 'Y', boundary=bnd)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Visually the results look similar for this simple grid."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,1,'xgcm generated values')"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"plt.pcolormesh(lat_b, lon_b, data)\n",
"plt.scatter(lat, lon) # show cell center\n",
"plt.xlabel('lon')\n",
"plt.ylabel('lat')\n",
"plt.title('original numpy input')\n",
"\n",
"plt.figure()\n",
"plt.pcolormesh(ds_post.lat_b.data, ds_post.lon_b.data, data)\n",
"plt.scatter(lat, lon) # show cell center\n",
"plt.xlabel('lon')\n",
"plt.ylabel('lat')\n",
"plt.title('xgcm generated values')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And also the differences of the actual values are very small"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x11ed60ac8>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Difference between the lon_b values\n",
"(ds_post.lat_b - lat_b).plot()\n",
"\n",
"# The error is quite small."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# More complex geometry (xarray RASM example dataset)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 275, y: 205)\n",
"Coordinates:\n",
" time datetime64[ns] 1980-09-16T12:00:00\n",
" xc (y, x) float64 189.2 189.4 189.6 189.7 189.9 190.1 190.2 190.4 ...\n",
" yc (y, x) float64 16.53 16.78 17.02 17.27 17.51 17.76 18.0 18.25 ...\n",
"Dimensions without coordinates: x, y\n",
"Data variables:\n",
" Tair (y, x) float64 nan nan nan nan nan nan nan nan nan nan nan nan ..."
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rasm = xr.tutorial.load_dataset('rasm').isel(time=0).Tair.to_dataset()\n",
"rasm"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We are repeating essentially the steps from above"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 275, x_outer: 276, y: 205, y_outer: 206)\n",
"Coordinates:\n",
" time datetime64[ns] 1980-09-16T12:00:00\n",
" xc (y, x) float64 189.2 189.4 189.6 189.7 189.9 190.1 190.2 190.4 ...\n",
" yc (y, x) float64 16.53 16.78 17.02 17.27 17.51 17.76 18.0 18.25 ...\n",
" * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
" * x_outer (x_outer) float64 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 ...\n",
" * y (y) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
" * y_outer (y_outer) float64 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 ...\n",
"Data variables:\n",
" Tair (y, x) float64 nan nan nan nan nan nan nan nan nan nan nan nan ..."
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rasm_post = generate_grid_ds(rasm, {'X':'x', 'Y':'y'}, position=('center', 'outer'))\n",
"rasm_post"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [],
"source": [
"grid_rasm = Grid(rasm_post, periodic=False)\n",
"bnd='extrapolate'\n",
"rasm_post.coords['xb'] = grid_rasm.interp(grid_rasm.interp(rasm_post['xc'], 'X', boundary=bnd, fill_value=np.nan),\n",
" 'Y', boundary=bnd, fill_value=np.nan)\n",
"rasm_post.coords['yb'] = grid_rasm.interp(grid_rasm.interp(rasm_post['yc'], 'X', boundary=bnd, fill_value=np.nan),\n",
" 'Y', boundary=bnd, fill_value=np.nan)"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (x: 275, x_outer: 276, y: 205, y_outer: 206)\n",
"Coordinates:\n",
" time datetime64[ns] 1980-09-16T12:00:00\n",
" xc (y, x) float64 189.2 189.4 189.6 189.7 189.9 190.1 190.2 190.4 ...\n",
" yc (y, x) float64 16.53 16.78 17.02 17.27 17.51 17.76 18.0 18.25 ...\n",
" * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
" * x_outer (x_outer) float64 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 ...\n",
" * y (y) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
" * y_outer (y_outer) float64 -0.5 0.5 1.5 2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5 ...\n",
" xb (y_outer, x_outer) float64 189.3 189.4 189.6 189.8 189.9 190.1 ...\n",
" yb (y_outer, x_outer) float64 16.33 16.58 16.82 17.06 17.31 17.55 ...\n",
"Data variables:\n",
" Tair (y, x) float64 nan nan nan nan nan nan nan nan nan nan nan nan ..."
]
},
"execution_count": 134,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rasm_post"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It seems that in the case of the polar region the method fails. It might also be an issue with the mapping of cartopy, because the actual fields of the coordinates look relatively behaved (below)"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<cartopy.mpl.gridliner.Gridliner at 0x12d768898>"
]
},
"execution_count": 135,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import cartopy.crs as ccrs\n",
"ax = plt.axes(projection=ccrs.Orthographic(-10, 65))\n",
"ax.pcolormesh(rasm_post.xb.data, rasm_post.yb.data, rasm_post.Tair.data, transform=ccrs.PlateCarree())\n",
"# ax.scatter(rasm_post.yc.data.flat, rasm_post.xc.data.flat) # show cell center\n",
"plt.title('xgcm generated values')\n",
"ax.set_global()\n",
"ax.gridlines()"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x12db7e6d8>"
]
},
"execution_count": 136,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"rasm_post.xb.plot(vmin=0, vmax=360)\n",
"\n",
"plt.figure()\n",
"rasm_post.yb.plot(vmin=0, vmax=90)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"gist": {
"data": {
"description": "2d_coordinate_bound_generationWithxgcm.ipynb",
"public": true
},
"id": ""
},
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.6"
},
"varInspector": {
"cols": {
"lenName": 16,
"lenType": 16,
"lenVar": 40
},
"kernels_config": {
"python": {
"delete_cmd_postfix": "",
"delete_cmd_prefix": "del ",
"library": "var_list.py",
"varRefreshCmd": "print(var_dic_list())"
},
"r": {
"delete_cmd_postfix": ") ",
"delete_cmd_prefix": "rm(",
"library": "var_list.r",
"varRefreshCmd": "cat(var_dic_list()) "
}
},
"types_to_exclude": [
"module",
"function",
"builtin_function_or_method",
"instance",
"_Feature"
],
"window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}
@zxdawn
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zxdawn commented Nov 20, 2018

I install xgcm by conda install -c conda-forge xgcm and can't run from xgcm.autogenerate import generate_grid_ds:

ModuleNotFoundError: No module named 'xgcm.autogenerate'

But, from xgcm import Grid works fine.

@zxdawn
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zxdawn commented Nov 20, 2018

I install xgcm by conda install -c conda-forge xgcm and can't run from xgcm.autogenerate import generate_grid_ds:

ModuleNotFoundError: No module named 'xgcm.autogenerate'

But, from xgcm import Grid works fine.

Install it from source works fine.

git clone https://github.com/xgcm/xgcm.git
cd xgcm
python setup.py install

Is this still in developing?

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