{ "cells": [ { "cell_type": "markdown", "id": "9dc175c8-f744-4655-9037-b313c486c951", "metadata": {}, "source": [ "This notebook is used for the creation of model boundary conditions for the Alaska North Slope model. Just as for the initial condition, the boundary condition vector quantities need to rotated on the curvilinear model domain. \n", "\n", "First, import packages necessary for this notebook:" ] }, { "cell_type": "code", "execution_count": 1, "id": "836f57c0-6983-48ce-b8a0-31c5b04463a7", "metadata": {}, "outputs": [], "source": [ "# import the modules for computation, plotting, and reading files\n", "import os\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import netCDF4 as nc4\n", "import cmocean.cm as cm\n", "\n", "# import the necessary modules from eccoseas\n", "from eccoseas.ecco import io\n", "from eccoseas.ecco import grid as eeg\n", "from eccoseas.downscale import hFac\n", "from eccoseas.downscale import horizontal\n", "from eccoseas.downscale import vertical\n", "from eccoseas.toolbox import reprojection" ] }, { "cell_type": "markdown", "id": "5ea43d2c-8106-4b7e-9d71-dda71ff556e4", "metadata": {}, "source": [ "## Constructing the Boundary Conditions\n", "For this model, we will use a model output from the ECCO-Darwin LLC270 state estimate. We will prepare the boundary condition fields in 7 steps:\n", "1. download the model output prepared using the [diagnostics_vec](https://github.com/mhwood/diagnostics_vec) package\n", "2. read the LLC270 model grid\n", "3. read in the bathymetry for the regional model as well as its grid\n", "4. prepare the ECCO-Darwin fields for interpolation\n", "5. interpolate the ECCO-Darwin fields onto the regional model grid and store each as a binary file\n", "6. plot the interpolated fields to ensure they look as expected" ] }, { "cell_type": "markdown", "id": "7c5328af-a028-439b-a89a-4f39b72a9a65", "metadata": {}, "source": [ "### Step 1: Download the ECCO fields\n", "To begin, I downloaded the model fields generated with `diagnostics_vec` from ECCO-Darwin:\n", "\n", "There are stored in the following directory:" ] }, { "cell_type": "code", "execution_count": 2, "id": "34d9856c-ec0b-4f6e-9f9c-c18a73cd6858", "metadata": {}, "outputs": [], "source": [ "run_folder = '../../../configurations/alaska_north_slope/run'" ] }, { "cell_type": "markdown", "id": "d170a9e7-8862-4e25-b732-1268f2c77c5a", "metadata": {}, "source": [ "### Step 2: Read in the ECCO grid\n", "To read in the ECCO fields, I will rely on the `io` module from the `eccoseas.ecco` package:" ] }, { "cell_type": "code", "execution_count": 3, "id": "8a44ab9c-5cea-41d3-87b4-9dee91f510dc", "metadata": {}, "outputs": [], "source": [ "data_folder = '../../../data/alaskan_north_slope'" ] }, { "cell_type": "code", "execution_count": 4, "id": "65e9c314-0e63-4e0e-aea1-070a6fcaeb3b", "metadata": {}, "outputs": [], "source": [ "ecco_XC_faces, ecco_YC_faces, ecco_AngleCS_faces, ecco_AngleSN_faces, ecco_hFacC_faces, ecco_hFacW_faces, ecco_hFacS_faces =\\\n", " io.read_ecco_geometry_to_faces(data_folder, llc=270, Nr=50)" ] }, { "cell_type": "code", "execution_count": 5, "id": "8317557f-d1cc-4d88-9691-7b4eaf754b75", "metadata": {}, "outputs": [], "source": [ "ecco_XC_tiles = eeg.ecco_faces_to_tiles(ecco_XC_faces, llc=270, dim=2)\n", "ecco_YC_tiles = eeg.ecco_faces_to_tiles(ecco_YC_faces, llc=270, dim=2)\n", "ecco_AngleCS_tiles = eeg.ecco_faces_to_tiles(ecco_AngleCS_faces, llc=270, dim=2)\n", "ecco_AngleSN_tiles = eeg.ecco_faces_to_tiles(ecco_AngleSN_faces, llc=270, dim=2)\n", "ecco_hFacC_tiles = eeg.ecco_faces_to_tiles(ecco_hFacC_faces, llc=270, dim=3)\n", "ecco_hFacS_tiles = eeg.ecco_faces_to_tiles(ecco_hFacS_faces, llc=270, dim=3)\n", "ecco_hFacW_tiles = eeg.ecco_faces_to_tiles(ecco_hFacW_faces, llc=270, dim=3)\n", "ecco_RF = np.fromfile(os.path.join(data_folder,'RF.data'), '>f4')\n", "ecco_DRF = np.fromfile(os.path.join(data_folder,'DRF.data'), '>f4')\n", "ecco_Nr = len(ecco_RF)-1" ] }, { "cell_type": "markdown", "id": "64a135ac-a5bb-4766-83b5-60039dcc0c56", "metadata": {}, "source": [ "### Step 3: Read in the Model Grid and Generate a Mask\n", "Here, I will read in the grid to use in the model. This was generated by running the model for one timestep and then creating an nc file." ] }, { "cell_type": "code", "execution_count": 6, "id": "f48b8cc3-eb40-40c3-b61e-1359d986109d", "metadata": {}, "outputs": [], "source": [ "# define the parameters that will be used in the data file\n", "ds = nc4.Dataset('../../../data/alaskan_north_slope/NorthSlope_ncgrid.nc')\n", "XC = ds.variables['XC'][:, :]\n", "YC = ds.variables['YC'][:, :]\n", "bathy = -1*ds.variables['Depth'][:,:]\n", "AngleCS = ds.variables['AngleCS'][:,:]\n", "AngleSN = ds.variables['AngleSN'][:,:]\n", "hFacC = ds.variables['HFacC'][:, :, :]\n", "hFacW = ds.variables['HFacW'][:, :, :]\n", "hFacS = ds.variables['HFacS'][:, :, :]\n", "delR = ds.variables['drF'][:]\n", "ds.close()\n", "\n", "# remove the extra row and col from hFacS and hFacW\n", "hFacS = hFacS[:,:-1,:]\n", "hFacW = hFacW[:,:,:-1]" ] }, { "cell_type": "markdown", "id": "1eb82b3d-ffa2-4312-916f-3325a0089c6b", "metadata": {}, "source": [ "As in the initial condition notebook, we will make masks by setting all of the non-zero `hFac` points to 1:" ] }, { "cell_type": "code", "execution_count": 7, "id": "d1dcfe0a-3641-43d7-99aa-88a48310eeda", "metadata": {}, "outputs": [], "source": [ "# generate the masks\n", "maskC = np.copy(hFacC)\n", "maskC[maskC>0] = 1\n", "\n", "maskS = np.copy(hFacS)\n", "maskS[maskS>0] = 1\n", "\n", "maskW = np.copy(hFacW)\n", "maskW[maskW>0] = 1" ] }, { "cell_type": "markdown", "id": "5d9eb466-1d40-49d5-8317-27d0ef5ca49a", "metadata": {}, "source": [ "Similarly, we will also reproject the grid to avoid interpolation artefacts:" ] }, { "cell_type": "code", "execution_count": 8, "id": "e87670c3-a02b-41cc-97da-67a1d272317c", "metadata": {}, "outputs": [], "source": [ "utm_zone_epsg = 32606\n", "regional_coordinates = reprojection.reproject_polygon(np.column_stack([XC.ravel(), YC.ravel()]), 4326, utm_zone_epsg)\n", "X = regional_coordinates[:,0].reshape(np.shape(XC))\n", "Y = regional_coordinates[:,1].reshape(np.shape(XC))" ] }, { "cell_type": "markdown", "id": "a37e0e64-13eb-4122-ae3c-0fead095fc9b", "metadata": {}, "source": [ "### Step 4: Prepare the grids for interpolation" ] }, { "cell_type": "markdown", "id": "b332346e-acea-4d60-9494-8d850824b8f4", "metadata": {}, "source": [ "Next, we subset the ECCO points using the masks used in diagnostics_vec. This gives us the source locations of each grid:" ] }, { "cell_type": "code", "execution_count": 9, "id": "6f43775b-38ae-4354-b93d-e47b20c78886", "metadata": {}, "outputs": [], "source": [ "# define the boundary list\n", "boundary_list = ['east', 'north', 'west']" ] }, { "cell_type": "code", "execution_count": 10, "id": "bfd5f5ec-1a41-4da6-81aa-9d121dfa023a", "metadata": {}, "outputs": [], "source": [ "# make a dictionary to fill in with the domain info on the boundaries\n", "boundary_domain_dict = {}\n", "\n", "# loop through each boundary\n", "for boundary in boundary_list:\n", "\n", " # read in the mask\n", " dv_mask_faces = io.read_ecco_field_to_faces(os.path.join(run_folder,'dv',\n", " boundary+'_BC_mask.bin'),\n", " llc=270, dim=2, Nr=50,dtype='>f4')\n", " dv_mask_tiles = eeg.ecco_faces_to_tiles(dv_mask_faces, llc=270, dim=2)\n", " \n", " # determine the number of points in each set\n", " total_points = 0\n", " for tile in range(1,14):\n", " total_points += np.sum(dv_mask_tiles[tile]!=0)\n", "\n", " # make empty arrays to fill in\n", " ecco_XC_points = np.zeros((total_points, ))\n", " ecco_YC_points = np.zeros((total_points, ))\n", " ecco_AngleCS_points = np.zeros((total_points, ))\n", " ecco_AngleSN_points = np.zeros((total_points, ))\n", " ecco_maskC_points = np.zeros((ecco_Nr, total_points))\n", " ecco_maskW_points = np.zeros((ecco_Nr, total_points))\n", " ecco_maskS_points = np.zeros((ecco_Nr, total_points))\n", "\n", " # loop through the mask and fill in the points used for interpolation\n", " for tile_number in range(1,14):\n", " dv_rows, dv_cols = np.where(dv_mask_tiles[tile_number]!=0)\n", " if len(dv_rows)>0:\n", "\n", " for row, col in zip(dv_rows, dv_cols):\n", " ecco_XC_points[int(dv_mask_tiles[tile_number][row,col])-1] = ecco_XC_tiles[tile_number][row,col]\n", " ecco_YC_points[int(dv_mask_tiles[tile_number][row,col])-1] = ecco_YC_tiles[tile_number][row,col]\n", " ecco_AngleCS_points[int(dv_mask_tiles[tile_number][row,col])-1] = ecco_AngleCS_tiles[tile_number][row,col]\n", " ecco_AngleSN_points[int(dv_mask_tiles[tile_number][row,col])-1] = ecco_AngleSN_tiles[tile_number][row,col]\n", "\n", " for k in range(ecco_Nr):\n", " ecco_maskC_points[k, int(dv_mask_tiles[tile_number][row,col])-1] = ecco_hFacC_tiles[tile_number][k, row,col]\n", " ecco_maskW_points[k, int(dv_mask_tiles[tile_number][row,col])-1] = ecco_hFacW_tiles[tile_number][k, row,col]\n", " ecco_maskS_points[k, int(dv_mask_tiles[tile_number][row,col])-1] = ecco_hFacS_tiles[tile_number][k, row,col]\n", "\n", " # convert hFac to a mask\n", " ecco_maskC_points[ecco_maskC_points>0]=1\n", " ecco_maskW_points[ecco_maskW_points>0]=1\n", " ecco_maskS_points[ecco_maskS_points>0]=1\n", "\n", " # store the grid information into the dictionary above\n", " boundary_domain_dict[boundary] = {'XC': ecco_XC_points,\n", " 'YC': ecco_YC_points,\n", " 'AngleCS': ecco_AngleCS_points,\n", " 'AngleSN': ecco_AngleSN_points,\n", " 'maskC': ecco_maskC_points,\n", " 'maskW': ecco_maskW_points,\n", " 'maskS': ecco_maskS_points }" ] }, { "cell_type": "markdown", "id": "1fa76d2d-939a-4a1b-9985-4569875964c7", "metadata": {}, "source": [ "Next, we'll plot these to make sure everything looks ok:" ] }, { "cell_type": "code", "execution_count": 11, "id": "8ea32648-57db-47f3-a84a-cb168be6a5ca", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8,5))\n", "plt.pcolormesh(XC,YC,bathy, cmap='Blues_r', alpha=0.3, shading='gouraud')\n", "for boundary in boundary_list:\n", " if boundary=='west':\n", " plt.plot(XC[:,0], YC[:,0], 'k-')\n", " if boundary=='east':\n", " plt.plot(XC[:,-1], YC[:,-1], 'k-')\n", " if boundary=='north':\n", " plt.plot(XC[-1, :], YC[-1, :], 'k-')\n", " ecco_XC = boundary_domain_dict[boundary]['XC']\n", " ecco_YC = boundary_domain_dict[boundary]['YC']\n", " plt.plot(ecco_XC, ecco_YC, '.', label=boundary)\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "2f8bb282-3eac-4ba3-827b-ff9d2b2affea", "metadata": {}, "source": [ "Looks good!" ] }, { "cell_type": "markdown", "id": "c4462677-8079-45e5-9faf-d39452350218", "metadata": {}, "source": [ "Next, we'll read in the data fields and apply the modifications as necessary for the vector quantities. Let's make a quick function for the i/o:" ] }, { "cell_type": "code", "execution_count": 36, "id": "4dbb96e5-bef6-4307-a5b3-f4441a930f3b", "metadata": {}, "outputs": [], "source": [ "def read_dv_output_grid(dv_dir, var_name, boundary, boundary_domain_dict):\n", "\n", " # manual list for now but should be generalized\n", " iter_numbers = [683785, 710065]\n", "\n", " if var_name in ['AREA','UICE','VICE','HEFF','HSNOW','ETAN']:\n", " Nr = 1\n", " else:\n", " Nr = ecco_Nr\n", "\n", " for iter_number in iter_numbers:\n", " if 'VEL' in var_name or 'ICE' in var_name:\n", " suffix = var_name[-3:]\n", " dv_grid_u = np.fromfile(os.path.join(dv_dir,boundary+'_BC_mask_U'+suffix+'.'+'{:010d}'.format(iter_number)+'.bin'), '>f4')\n", " n_mask_points = len(boundary_domain_dict[boundary]['XC'])\n", " timesteps = int(np.size(dv_grid_u)/(Nr*n_mask_points))\n", " dv_grid_u = np.reshape(dv_grid_u, (timesteps, Nr, n_mask_points))\n", " dv_grid_v = np.fromfile(os.path.join(dv_dir,boundary+'_BC_mask_V'+suffix+'.'+'{:010d}'.format(iter_number)+'.bin'), '>f4')\n", " dv_grid_v = np.reshape(dv_grid_v, (timesteps, Nr, n_mask_points))\n", " dv_grid = np.zeros((timesteps, Nr, n_mask_points))\n", " if var_name in ['UVEL','UICE']:\n", " for m in range(n_mask_points):\n", " dv_grid[:,:,m] = boundary_domain_dict[boundary]['AngleCS'][m] * dv_grid_u[:,:,m] -\\\n", " boundary_domain_dict[boundary]['AngleSN'][m] * dv_grid_v[:,:,m]\n", " if var_name in ['VVEL','VICE']:\n", " for m in range(n_mask_points):\n", " dv_grid[:,:,m] = boundary_domain_dict[boundary]['AngleSN'][m] * dv_grid_u[:,:,m] +\\\n", " boundary_domain_dict[boundary]['AngleCS'][m] * dv_grid_v[:,:,m]\n", " else:\n", " dv_grid = np.fromfile(os.path.join(dv_dir,boundary+'_BC_mask_'+var_name+'.'+'{:010d}'.format(iter_number)+'.bin'), '>f4')\n", " n_mask_points = len(boundary_domain_dict[boundary]['XC'])\n", " timesteps = int(np.size(dv_grid)/(Nr*n_mask_points))\n", " dv_grid = np.reshape(dv_grid, (timesteps, Nr, n_mask_points))\n", " \n", " if iter_number==iter_numbers[0]:\n", " dv_grid_all = dv_grid\n", " else:\n", " dv_grid = np.concatenate([dv_grid_all, dv_grid], axis=0)\n", "\n", " # interpolate vertically if need be\n", " if variable_name == 'UVEL' or variable_name == 'UICE':\n", " ecco_mask_points = boundary_domain_dict[boundary]['maskW']\n", " elif variable_name == 'VVEL' or variable_name == 'VICE':\n", " ecco_mask_points = boundary_domain_dict[boundary]['maskS']\n", " else:\n", " ecco_mask_points = boundary_domain_dict[boundary]['maskC']\n", " \n", " if variable_name not in ['AREA','UICE','VICE','HEFF','HSNOW', 'ETAN']:\n", " print(' - Interpolating to new depth levels')\n", " dv_grid_interp = np.zeros((np.shape(dv_grid)[0], len(delR), np.shape(dv_grid)[2]))\n", " for t in range(np.shape(dv_grid)[0]):\n", " dv_grid_interp[t,:,:], ecco_mask_points_interp = \\\n", " vertical.interpolate_var_grid_faces_to_new_depth_levels(dv_grid[t,:,:], ecco_mask_points,\n", " np.array(ecco_DRF), np.array(delR))\n", " else:\n", " ecco_mask_points = ecco_mask_points[:1,:]\n", " dv_grid_interp = dv_grid\n", " ecco_mask_points_interp = ecco_mask_points\n", "\n", " return(dv_grid_interp, ecco_mask_points_interp)" ] }, { "cell_type": "markdown", "id": "c8e32043-a3a3-49df-a724-de2be9f98708", "metadata": {}, "source": [ "### Step 5: Interpolate the Fields onto the Model Grid\n", "Next, we will interpolate the ECCO-Darwin fields onto the regional model domain. We will use the `horizontal` module from the `eccoseas` package to accomplish this interpolation." ] }, { "cell_type": "code", "execution_count": 37, "id": "1e7d5831-27e7-401d-84bc-7ee2b1b3299c", "metadata": {}, "outputs": [], "source": [ "input_dir = '../../../configurations/alaska_north_slope/input/'" ] }, { "cell_type": "code", "execution_count": 38, "id": "8c1028da-5a5b-4662-b772-73dadd97bd2b", "metadata": {}, "outputs": [], "source": [ "if 'obcs' not in os.listdir(input_dir):\n", " os.mkdir(os.path.join(input_dir,'obcs'))" ] }, { "cell_type": "code", "execution_count": 39, "id": "d0aae164-a3f8-470b-a973-7f7ddffdcef1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING - IN TESTING MODE - ONLY INTERPOLATING THE FIRST TIMESTEP!\n", "Creating the boundary conditions for THETA\n", "Creating the boundary conditions for SALT\n", "Creating the boundary conditions for UVEL\n", " - Working on the east boundary\n", " - Reading in the dv grid\n", " - Interpolating to new depth levels\n", " - Interpolating horizontally\n", " - Working on the north boundary\n", " - Reading in the dv grid\n", " - Interpolating to new depth levels\n", " - Interpolating horizontally\n", " - Working on the west boundary\n", " - Reading in the dv grid\n", " - Interpolating to new depth levels\n", " - Interpolating horizontally\n", "Creating the boundary conditions for VVEL\n", " - Working on the east boundary\n", " - Reading in the dv grid\n", " - Interpolating to new depth levels\n", " - Interpolating horizontally\n", " - Working on the north boundary\n", " - Reading in the dv grid\n", " - Interpolating to new depth levels\n", " - Interpolating horizontally\n", " - Working on the west boundary\n", " - Reading in the dv grid\n", " - Interpolating to new depth levels\n", " - Interpolating horizontally\n", "Creating the boundary conditions for AREA\n", "Creating the boundary conditions for HEFF\n", "Creating the boundary conditions for HSNOW\n", "Creating the boundary conditions for UICE\n", " - Working on the east boundary\n", " - Reading in the dv grid\n", " - Interpolating horizontally\n", " - Working on the north boundary\n", " - Reading in the dv grid\n", " - Interpolating horizontally\n", " - Working on the west boundary\n", " - Reading in the dv grid\n", " - Interpolating horizontally\n", "Creating the boundary conditions for VICE\n", " - Working on the east boundary\n", " - Reading in the dv grid\n", " - Interpolating horizontally\n", " - Working on the north boundary\n", " - Reading in the dv grid\n", " - Interpolating horizontally\n", " - Working on the west boundary\n", " - Reading in the dv grid\n", " - Interpolating horizontally\n", "Creating the boundary conditions for PTRACE01\n", "Creating the boundary conditions for PTRACE02\n", "Creating the boundary conditions for PTRACE03\n", "Creating the boundary conditions for PTRACE04\n" ] } ], "source": [ "testing=True\n", "if testing:\n", " print('WARNING - IN TESTING MODE - ONLY INTERPOLATING THE FIRST TIMESTEP!')\n", "\n", "variable_names = ['THETA','SALT','UVEL','VVEL',\n", " 'AREA','HEFF','HSNOW','UICE','VICE']\n", "\n", "for tracer_number in range(1,5):\n", " variable_names.append('PTRACE'+'{:02d}'.format(tracer_number))\n", "\n", "# loop through each variable\n", "for variable_name in variable_names:\n", "\n", " print('Creating the boundary conditions for '+variable_name)\n", " # loop through each boundary\n", " for boundary in boundary_list:\n", "\n", " output_file = os.path.join(input_dir,'obcs',variable_name+'_'+boundary+'.bin')\n", " \n", " # only run the routine if the file hasn't been made yet\n", " if not os.path.exists(output_file):\n", "\n", " print(' - Working on the '+boundary+' boundary')\n", " ecco_XC_points = boundary_domain_dict[boundary]['XC']\n", " ecco_YC_points = boundary_domain_dict[boundary]['YC']\n", " utm_coordinates = reprojection.reproject_polygon(np.column_stack([ecco_XC_points, ecco_YC_points]), 4326, utm_zone_epsg)\n", " \n", " # read in the dv grid using the function defined above\n", " print(' - Reading in the dv grid')\n", " dv_grid, ecco_mask_points = read_dv_output_grid(os.path.join(run_folder, 'dv'), variable_name, boundary, boundary_domain_dict)\n", " n_timesteps = np.shape(dv_grid)[0]\n", " \n", " if variable_name == 'UVEL' or variable_name == 'UICE':\n", " mask = maskW\n", " elif variable_name == 'VVEL' or variable_name == 'VICE':\n", " mask = maskS\n", " else:\n", " mask = maskC\n", " \n", " if boundary == 'west':\n", " boundary_X = X[:,:1]\n", " boundary_Y = Y[:,:1]\n", " boundary_mask = mask[:,:,:1]\n", " elif boundary == 'east':\n", " boundary_X = X[:,-1:]\n", " boundary_Y = Y[:,-1:]\n", " boundary_mask = mask[:,:,-1:]\n", " elif boundary == 'north':\n", " boundary_X = X[-1:,:]\n", " boundary_Y = Y[-1:,:]\n", " boundary_mask = mask[:,-1:,:]\n", " elif boundary == 'south':\n", " boundary_X = X[:1,:]\n", " boundary_Y = Y[:1,:]\n", " boundary_mask = mask[:,:1,:]\n", " else:\n", " raise ValueError('Boundary '+boundary+' not recognized')\n", "\n", " if variable_name in ['AREA','UICE','VICE','HEFF','HSNOW', 'ETAN']:\n", " boundary_mask = boundary_mask[:1,:,:]\n", " output_grid = np.zeros((n_timesteps, 1, np.size(boundary_X)))\n", " else:\n", " output_grid = np.zeros((n_timesteps, np.size(delR), np.size(boundary_X)))\n", " \n", " print(' - Interpolating horizontally')\n", " if testing:\n", " timesteps = 1\n", " else:\n", " timesteps = n_timesteps\n", " \n", " for t in range(timesteps):\n", " interpolated_grid = horizontal.downscale_3D_points(utm_coordinates,\n", " dv_grid[t,:,:], ecco_mask_points, \n", " boundary_X, boundary_Y, boundary_mask)\n", " for k in range(np.shape(output_grid)[1]):\n", " output_grid[t,k,:] = interpolated_grid[k,:,:].ravel()\n", "\n", " # output the interpolated grid\n", " output_grid.ravel('C').astype('>f4').tofile(output_file)" ] }, { "cell_type": "markdown", "id": "efe30ee2-7b83-498d-813c-9b9ea152ed6f", "metadata": {}, "source": [ "### Step 6: Plotting the Boundary Fields\n", "Now that the fields have been generated, plot them to ensure they look as expected. \n", "\n", "#### Physical Parameters\n", "\n", "First, generate some metadata for each one:" ] }, { "cell_type": "code", "execution_count": 40, "id": "e7ac447d-91d1-4a85-b4c3-12529580db54", "metadata": {}, "outputs": [], "source": [ "pmeta_dict = {'THETA':[-2, 2, 'turbo', 'm'],\n", " 'SALT':[31, 36, 'viridis', 'm'],\n", " 'UVEL':[-0.05, 0.05, 'seismic', 'm'],\n", " 'VVEL':[-0.05, 0.05, 'seismic', 'm']}" ] }, { "cell_type": "markdown", "id": "5c60e704-57ae-4d35-aca8-2dbc8ad5f84a", "metadata": {}, "source": [ "Then, create all of the subplots:" ] }, { "cell_type": "code", "execution_count": 41, "id": "bd252056-d8e7-4cce-a50d-43e20b50c301", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12,12))\n", "\n", "plot_variable_names = ['THETA','SALT','UVEL','VVEL']\n", "\n", "Z = np.cumsum(delR)\n", "plot_counter = 0\n", "for i in range(len(plot_variable_names)):\n", " variable_name = plot_variable_names[i]\n", " \n", " for boundary in boundary_list:\n", " \n", " boundary_grid = np.fromfile(os.path.join(input_dir,'obcs',variable_name+'_'+boundary+'.bin'),'>f4')\n", " \n", " if boundary in ['west','east']:\n", " boundary_grid = boundary_grid.reshape((n_timesteps, np.shape(delR)[0],np.shape(XC)[0]))\n", " boundary_grid = boundary_grid[0, :, :] # choose just the first timestep for plotting\n", " if boundary=='west':\n", " x = YC[:,1]\n", " if boundary=='east':\n", " x = YC[:,-1]\n", " else:\n", " boundary_grid = boundary_grid.reshape((n_timesteps, np.shape(delR)[0],np.shape(XC)[1]))\n", " boundary_grid = boundary_grid[0, :, :] # choose just the first timestep for plotting\n", " if boundary=='north':\n", " x = XC[-1,:]\n", " if boundary=='south':\n", " x = XC[1,:]\n", "\n", " plot_counter += 1\n", " plt.subplot(len(plot_variable_names),len(boundary_list),plot_counter)\n", " C = plt.pcolormesh(x, Z, boundary_grid,\n", " vmin=meta_dict[variable_name][0],\n", " vmax=meta_dict[variable_name][1],\n", " cmap=meta_dict[variable_name][2])\n", " plt.colorbar(C,fraction=0.26)\n", " plt.gca().invert_yaxis()\n", " \n", " if plot_counter%3==1:\n", " plt.ylabel(variable_name)\n", " if plot_counter<4:\n", " plt.title(boundary)\n", "\n", "plt.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "f0173135-4c81-4ed6-b881-5b424900924b", "metadata": {}, "source": [ "#### Tracers\n", "\n", "Next, we'll plot a few of the tracers:" ] }, { "cell_type": "code", "execution_count": 30, "id": "87e03aef-62db-4c4c-a014-0c2728aa1297", "metadata": {}, "outputs": [], "source": [ "meta_dict = {'PTRACE01':[1900, 2250, 'turbo', '$\\\\mu$M C'],\n", " 'PTRACE02':[3, 16, 'BuPu', '$\\\\mu$M N'],\n", " 'PTRACE03':[0, 0.04, 'BuPu', '$\\\\mu$M N'],\n", " 'PTRACE04':[0, 0.02, 'BuPu', '$\\\\mu$M N']}" ] }, { "cell_type": "markdown", "id": "4562bbaa-88f1-4c89-841a-2d5b94d148f5", "metadata": {}, "source": [ "Let's see how they look:" ] }, { "cell_type": "code", "execution_count": 31, "id": "05f83466-87c4-4ab8-a1b8-36ff2774fcec", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12,12))\n", "\n", "plot_variable_names = ['PTRACE01','PTRACE02','PTRACE03','PTRACE04']\n", "\n", "Z = np.cumsum(delR)\n", "plot_counter = 0\n", "for i in range(len(plot_variable_names)):\n", " variable_name = plot_variable_names[i]\n", " \n", " for boundary in boundary_list:\n", " \n", " boundary_grid = np.fromfile(os.path.join(input_dir,'obcs',variable_name+'_'+boundary+'.bin'),'>f4')\n", " \n", " if boundary in ['west','east']:\n", " boundary_grid = boundary_grid.reshape((n_timesteps, np.shape(delR)[0],np.shape(XC)[0]))\n", " boundary_grid = boundary_grid[0, :, :] # choose just the first timestep for plotting\n", " if boundary=='west':\n", " x = YC[:,1]\n", " if boundary=='east':\n", " x = YC[:,-1]\n", " else:\n", " boundary_grid = boundary_grid.reshape((n_timesteps, np.shape(delR)[0],np.shape(XC)[1]))\n", " boundary_grid = boundary_grid[0, :, :] # choose just the first timestep for plotting\n", " if boundary=='north':\n", " x = XC[-1,:]\n", " if boundary=='south':\n", " x = XC[1,:]\n", "\n", " plot_counter += 1\n", " plt.subplot(len(plot_variable_names),len(boundary_list),plot_counter)\n", " C = plt.pcolormesh(x, Z, boundary_grid,\n", " vmin=meta_dict[variable_name][0],\n", " vmax=meta_dict[variable_name][1],\n", " cmap=meta_dict[variable_name][2])\n", " plt.colorbar(C,fraction=0.26)\n", " plt.gca().invert_yaxis()\n", " \n", " if plot_counter%3==1:\n", " plt.ylabel(variable_name)\n", " if plot_counter<4:\n", " plt.title(boundary)\n", "\n", "plt.tight_layout()\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "42328275-e3c0-406e-83f0-7ef2bd699337", "metadata": {}, "source": [ "#### Sea ice\n", "\n", "Finally, we'll plot the sea ice boundary conditions:" ] }, { "cell_type": "code", "execution_count": 32, "id": "00a60a1f-9e75-40bd-8188-d9925eb9185a", "metadata": {}, "outputs": [], "source": [ "meta_dict = {'AREA':[0,1],\n", " 'HEFF':[0,1.5],\n", " 'HSNOW':[0, 0.2],\n", " 'UICE':[-0.1, 0.1],\n", " 'VICE':[-0.1, 0.1]}" ] }, { "cell_type": "code", "execution_count": 33, "id": "976dc514-b170-4abc-96ee-44dd30a642b7", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12,12))\n", "\n", "plot_variable_names = ['AREA','HEFF','HSNOW','UICE','VICE']\n", "\n", "Z = np.cumsum(delR)\n", "plot_counter = 0\n", "for i in range(len(plot_variable_names)):\n", " variable_name = plot_variable_names[i]\n", " \n", " for boundary in boundary_list:\n", " \n", " boundary_grid = np.fromfile(os.path.join(input_dir,'obcs',\n", " variable_name+'_'+boundary+'.bin'),'>f4')\n", " \n", " if boundary in ['west','east']:\n", " boundary_grid = boundary_grid.reshape((n_timesteps, np.shape(XC)[0]))\n", " boundary_grid = boundary_grid[0, :] # choose just the first timestep for plotting\n", " if boundary=='west':\n", " x = YC[:,1]\n", " if boundary=='east':\n", " x = YC[:,-1]\n", " else:\n", " boundary_grid = boundary_grid.reshape((n_timesteps, np.shape(XC)[1]))\n", " boundary_grid = boundary_grid[0, :] # choose just the first timestep for plotting\n", " if boundary=='north':\n", " x = XC[-1,:]\n", " if boundary=='south':\n", " x = XC[1,:]\n", "\n", " plot_counter += 1\n", " plt.subplot(len(plot_variable_names),len(boundary_list),plot_counter)\n", " plt.plot(x, boundary_grid)\n", " plt.ylim(meta_dict[variable_name][0],meta_dict[variable_name][1])\n", " \n", " if plot_counter%3==1:\n", " plt.ylabel(variable_name)\n", " if plot_counter<4:\n", " plt.title(boundary)\n", "\n", "plt.tight_layout()\n", "\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "mitgcm", "language": "python", "name": "mitgcm" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 5 }