{ "cells": [ { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "# Cumulative distance\n", "\n", "Calculating the cumulative distance traveled by a set of particle trajectories in km. The distances traveled during every timestep of the trajecotry are added together." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Author(s): Laura Gomez Navarro\n", "* Created on: 20/05/22\n", "* Last updated on:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wed Jun 28 16:52:56 2023\n" ] } ], "source": [ "import time\n", "\n", "print(time.ctime(time.time()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 0. Imports and package versions" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "from datetime import timedelta, datetime\n", "from glob import glob\n", "import xarray as xr\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib\n", "import matplotlib.dates as mdates\n", "import xarray as xr\n", "\n", "from matplotlib import colors \n", "import matplotlib.gridspec as gridspec\n", "\n", "import cartopy\n", "import cartopy.crs as ccrs\n", "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n", "\n", "from collections import namedtuple\n", "from shapely import geometry\n", "\n", "import scipy \n", "from scipy import stats, optimize, interpolate\n", "\n", "import sys\n", "import inspect" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [ { "data": { "application/json": { "Software versions": [ { "module": "Python", "version": "3.6.11 64bit [GCC Clang 11.0.0]" }, { "module": "IPython", "version": "7.16.1" }, { "module": "OS", "version": "Darwin 21.6.0 x86_64 i386 64bit" }, { "module": "numpy", "version": "1.19.2" }, { "module": "matplotlib", "version": "3.3.2" }, { "module": "xarray", "version": "0.16.2" }, { "module": "cartopy", "version": "0.18.0" }, { "module": "scipy", "version": "1.5.2" } ] }, "text/html": [ "
SoftwareVersion
Python3.6.11 64bit [GCC Clang 11.0.0]
IPython7.16.1
OSDarwin 21.6.0 x86_64 i386 64bit
numpy1.19.2
matplotlib3.3.2
xarray0.16.2
cartopy0.18.0
scipy1.5.2
Wed Jun 28 16:53:00 2023 CEST
" ], "text/latex": [ "\\begin{tabular}{|l|l|}\\hline\n", "{\\bf Software} & {\\bf Version} \\\\ \\hline\\hline\n", "Python & 3.6.11 64bit [GCC Clang 11.0.0] \\\\ \\hline\n", "IPython & 7.16.1 \\\\ \\hline\n", "OS & Darwin 21.6.0 x86\\_64 i386 64bit \\\\ \\hline\n", "numpy & 1.19.2 \\\\ \\hline\n", "matplotlib & 3.3.2 \\\\ \\hline\n", "xarray & 0.16.2 \\\\ \\hline\n", "cartopy & 0.18.0 \\\\ \\hline\n", "scipy & 1.5.2 \\\\ \\hline\n", "\\hline \\multicolumn{2}{|l|}{Wed Jun 28 16:53:00 2023 CEST} \\\\ \\hline\n", "\\end{tabular}\n" ], "text/plain": [ "Software versions\n", "Python 3.6.11 64bit [GCC Clang 11.0.0]\n", "IPython 7.16.1\n", "OS Darwin 21.6.0 x86_64 i386 64bit\n", "numpy 1.19.2\n", "matplotlib 3.3.2\n", "xarray 0.16.2\n", "cartopy 0.18.0\n", "scipy 1.5.2\n", "Wed Jun 28 16:53:00 2023 CEST" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", "%load_ext version_information\n", "%version_information numpy, matplotlib, xarray, cartopy, scipy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1. Loading the data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "filedir = '../Simulations/'" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "ds = xr.open_dataset(filedir + 'toy_data_01.nc')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:     (obs: 121, traj: 144)\n",
       "Dimensions without coordinates: obs, traj\n",
       "Data variables:\n",
       "    trajectory  (traj, obs) float64 0.0 0.0 0.0 0.0 ... 143.0 143.0 143.0 143.0\n",
       "    time        (traj, obs) datetime64[ns] 2021-01-01T00:30:00 ... 2021-01-31...\n",
       "    lat         (traj, obs) float32 -39.17 -39.02 -38.9 ... -39.19 -39.21 -39.25\n",
       "    lon         (traj, obs) float32 22.5 22.55 22.61 22.66 ... 17.16 17.18 17.17\n",
       "    z           (traj, obs) float32 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "    U           (traj, obs) float32 nan 2.598e-06 ... 1.845e-07 -7.776e-07\n",
       "    V           (traj, obs) float32 nan 5.796e-06 ... -1.211e-06 -2.669e-06\n",
       "Attributes:\n",
       "    feature_type:           trajectory\n",
       "    Conventions:            CF-1.6/CF-1.7\n",
       "    ncei_template_version:  NCEI_NetCDF_Trajectory_Template_v2.0\n",
       "    parcels_version:        2.3.1.dev20+g92f2fb90\n",
       "    parcels_mesh:           spherical
" ], "text/plain": [ "\n", "Dimensions: (obs: 121, traj: 144)\n", "Dimensions without coordinates: obs, traj\n", "Data variables:\n", " trajectory (traj, obs) float64 ...\n", " time (traj, obs) datetime64[ns] ...\n", " lat (traj, obs) float32 ...\n", " lon (traj, obs) float32 ...\n", " z (traj, obs) float32 ...\n", " U (traj, obs) float32 ...\n", " V (traj, obs) float32 ...\n", "Attributes:\n", " feature_type: trajectory\n", " Conventions: CF-1.6/CF-1.7\n", " ncei_template_version: NCEI_NetCDF_Trajectory_Template_v2.0\n", " parcels_version: 2.3.1.dev20+g92f2fb90\n", " parcels_mesh: spherical" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2. Calculating the distance" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.1. Loading the functions" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "sys.path.insert(0, \"Functions/\")" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "import cumulative_distance_01" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "import numpy as np\n", "from math import sin, cos, sqrt, atan2, radians, pi\n", "\n", "def dist_km(lona, lonb, lata, latb):\n", " \"\"\"\n", " Function to calculate the distance between 2 points in km\n", " \"\"\"\n", " \n", " R = 6373.0 # approximate radius of earth in km\n", "\n", " lat1 = radians(lata)\n", " lon1 = radians(lona)\n", " lat2 = radians(latb)\n", " lon2 = radians(lonb)\n", "\n", " dlon = lon2 - lon1\n", " dlat = lat2 - lat1\n", "\n", " a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2\n", " c = 2 * atan2(sqrt(a), sqrt(1 - a))\n", "\n", " distance = R * c\n", "\n", " return distance\n", "\n", "def cumulative_distance_01(ds_n, nsavedir=None):\n", " \n", " # Creating the output data array:\n", " dist_01 = ds_n.lon.copy() * np.nan\n", "\n", " # Calculating the distance traveled by every particle at every timestep:\n", " for tt in range(0, len(ds_n.traj)):\n", " lon_t = ds_n.lon[tt, :].dropna(dim='obs')\n", " lat_t = ds_n.lat[tt, :].dropna(dim='obs')\n", " \n", " for oo in range(1, len(lat_t)): # calculate as distance at x0 = distance at x-x0\n", " dist_01[tt, oo-1] = dist_km(lon_t[oo-1], lon_t[oo], lat_t[oo-1], lat_t[oo])\n", " \n", " # Calculating the cumulative distance traveled for all particle trajectories at every timestep:\n", " cum_dist_01 = dist_01.cumsum(dim='obs')\n", " \n", " if nsavedir:\n", " cum_dist_01.to_netcdf(nsavedir + \"cum_dist_01.nc\")\n", " \n", " return cum_dist_01\n", "\n", "\n" ] } ], "source": [ "print(inspect.getsource(cumulative_distance_01))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2.2. Applying the cumulative distance function:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "cum_dist_01 = cumulative_distance_01.cumulative_distance_01(ds)\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'lon' (traj: 144, obs: 121)>\n",
       "array([[  16.403774,   30.603819,   43.689835, ..., 2255.6865  ,\n",
       "        2266.414   , 2266.414   ],\n",
       "       [  19.366917,   38.18978 ,   56.715897, ..., 1715.984   ,\n",
       "        1729.1825  , 1729.1825  ],\n",
       "       [  24.746086,   56.121193,   92.32692 , ..., 1781.5177  ,\n",
       "        1783.5271  , 1783.5271  ],\n",
       "       ...,\n",
       "       [  40.99772 ,   86.607864,  134.14404 , ..., 1845.9026  ,\n",
       "        1854.615   , 1854.615   ],\n",
       "       [  30.890318,   71.60733 ,  118.270065, ..., 2146.9658  ,\n",
       "        2167.6208  , 2167.6208  ],\n",
       "       [  14.378509,   33.60996 ,   58.250862, ..., 2269.991   ,\n",
       "        2274.8174  , 2274.8174  ]], dtype=float32)\n",
       "Dimensions without coordinates: traj, obs
" ], "text/plain": [ "\n", "array([[ 16.403774, 30.603819, 43.689835, ..., 2255.6865 ,\n", " 2266.414 , 2266.414 ],\n", " [ 19.366917, 38.18978 , 56.715897, ..., 1715.984 ,\n", " 1729.1825 , 1729.1825 ],\n", " [ 24.746086, 56.121193, 92.32692 , ..., 1781.5177 ,\n", " 1783.5271 , 1783.5271 ],\n", " ...,\n", " [ 40.99772 , 86.607864, 134.14404 , ..., 1845.9026 ,\n", " 1854.615 , 1854.615 ],\n", " [ 30.890318, 71.60733 , 118.270065, ..., 2146.9658 ,\n", " 2167.6208 , 2167.6208 ],\n", " [ 14.378509, 33.60996 , 58.250862, ..., 2269.991 ,\n", " 2274.8174 , 2274.8174 ]], dtype=float32)\n", "Dimensions without coordinates: traj, obs" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cum_dist_01" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**--> gives the cumulative distance traveled for every particle at every timesep.**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3. Plotting the outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3.1. Plotting cumulative distance evolution in time for the first 10 particle trajectories" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Date')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(14,10))\n", "plt.plot(ds.time[0,:], cum_dist_01[0:10,:].T)\n", "plt.grid()\n", "plt.ylabel('Cumulative distance [km]')\n", "plt.xlabel('Date')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3.2. Boxplot of the final cumulative distance of all the particles:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "cum_dist_final = ((cum_dist_01.max(dim='obs')).where(cum_dist_01.max(dim='obs') != 0., drop=True)).data\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(144,)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cum_dist_final.shape" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "def set_box_color(bp, color):\n", " plt.setp(bp['boxes'], color=color)\n", " plt.setp(bp['whiskers'], color=color)\n", " plt.setp(bp['caps'], color=color)\n", " plt.setp(bp['medians'], color=color)\n", "# plt.setp(bp['facecolor'], color=color)\n", "\n", "plt.figure(figsize=(14,14))\n", "ax1 = plt.subplot(111)\n", "\n", "bpl = ax1.boxplot(cum_dist_final) #, positions=np.array(range(len(dist_cum_a)))*2.0-0.4, sym='', widths=0.6)\n", "set_box_color(bpl, 'C0') # colors are from http://colorbrewer2.org/\n", "\n", "# draw temporary red and blue lines and use them to create a legend\n", "plt.plot([], c='C0', label='Toy data 01')\n", "# plt.plot([], c='C3', label='Tidal forcing')\n", "plt.legend(fontsize=14)\n", "# ax.legend(fontsize=14)\n", "\n", "# plt.xticks(range(0, len(ticks) * 2, 2), ticks, fontsize=14)\n", "plt.yticks(fontsize=14)\n", "# plt.xlim(-2, len(ticks)*2)\n", "# plt.ylim(0, 850)\n", "# ax1.set_xticklabels(labels, rotation=45, horizontalalignment='right')\n", "# plt.grid()\n", "ax1.yaxis.grid()\n", "ax1.set_ylabel('Final cumulative distance [km]', size=16)\n", "\n", "plt.tight_layout()\n", "# plt.savefig('figs/cumsum_km_and_total_dist_km_BOXPLOT_01.jpg', dpi=300)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.9.18" } }, "nbformat": 4, "nbformat_minor": 4 }