parcels/examples/tutorial_parcels_structure.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting started with Parcels: general structure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are many different ways in which to use Parcels for research. The flexibility of the parcels code enables this wide range of applicability and allows you to build complex simulations. But this also means that you have to know what you're doing. SO please take some time to learn how to use Parcels, starting with this tutorial.\n",
    "\n",
    "For a smooth programming experience with Parcels, it is recommended you make a general structure in setting up your simulations. Here we give you an overview of the main components of a Parcels simulation. These components provide you with the basic requirements for your first simulation, while the structure allows you to keep track of more complex simulations later on. A good practice is to separate the different parts of your code into sections:\n",
    "1. [**FieldSet**](#1.-FieldSet). Load and set up the (velocity) fields that your particles need to access.\n",
    "2. [**ParticleSet**](#2.-ParticleSet). Define the type of particles you want to release, what `Variables` they have and what their initial conditions are.\n",
    "3. [**Execute kernels**](#3.-Kernel-execution). Define and compile the kernels that encode what your particles need to do each timestep and execute them.\n",
    "4. [**Output**](#4.-Output). Write and store the output to a NetCDF file. Ideas on what you can do with the output in terms of analysis is documented [**here**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_output.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Up8BIgCpqJc+BpOr1CykwT0eSfEm2zLACumqJdEAMyUUqTiODg/u2dSBhxXgivbcs/XKseSdVozr4p71bq/egytnfXsFi8BpM0rpQxIlbiRqqiezqABbPvbPq09S6owWMnw0/UtIKCMWJFDHuYuRrMYThCwa3rUUdY59fclY0Y9beGlZVjB7rf90RSdqDxlG9ndG09IG227mLP0H5Vjs0qpCiSFTgSqpZQTwKQGNVAxtDjGZGl1jxQ6i+easELDddUzlux5OcCPIZgBQF2gCjQ5zzmSPytb63fdnTwnr5tyLWDNSrva/3WbRqtf2G+YOKfsRzorKLU2RlaNaxVurXixQVozhBqO1ZMHKFZR3tK4unr8QC3DCP9HQLs66BGDMSDZ4yg4vsTyq54M2RqcbH/Ur1q2NQb9WFW7blU+3I+PNY7sz5t0K23E48r6w9zAtt5zc0opU0gVo01N09pfMzVP7zpvf1Kk+HrdEe6QfG8NuitcKvXzAsq95avcpydN5TC32wSu1kPcnl1ZGelE3hIAGCtLA8nKsCkoHQtISnpVTT1qDA3pyVxuZC9Pb4VrqeVsc+NwcoCeWKAA9FQjf7fV1a2K68YxllMDtAe2vWm5nr39l/tw5DV4E/YaQNoUlLLjR6YYutWwPS5bTwfhxmu5j6qWcI9q7Cgr01954sm9+2afv/f9j7lvAs5mwugeW1nd0lU5r7w9y+GZTbf4O9evNdlmE0+rrb2xshaQNgMlfWutLkkuCaRqw2kj9bh2eo8MgNip3Vpd6x0QgBKekWtdH6k8Vnq8u30rUOpx3bhPbVUx6SM1lWNd1OVCO0erpFiAsXTR85HZeFsTSJuAEr+TDUHdFgCqv7VkKDdc72DP0mcAioLfSw0UXnlBsNtelYSPrgLa97wSiM7qxZwYTEuVN7Nn9DuAZEfEPPTYe8JsMiVxyiC9FjraX8QPaytsWhMg98UoHbd/dfvAjYaSvnWEGymitaeiqgbXWSWbEVCeDDRTBxaXZ8lBjgFrEPmJp17cn9fNUIreU8f14BMIuOMizZLlnWI/frNLFSytx1aqeUwpa/WayNW0+KD3nKPli9dnYeLJtnLo+KmMOU6zNpBOqpQAJMwCSmmP8p7Bo0bwOoJCqMcla3WsTL1hUDOE1GVaepADTPYcHl4qyZBle7OkRxoMAu70XOaly1sduJauEuDm/Cy9d3Y694dTQ0lfn4Xy66uu+JXolgYbZfVMsJY9I0WUTb7HANLJoOS9l42NWFE+avTIh47UTtYAPYNEg9tZAFl/X2NA8GqMddjWfhWFEjo+gGSnXXrP8UFN6T6XNeqjkMHf2b2wb8vSR88aVvPq6RO9aT0o6QGBlqfnfuM5R9wT7+Pz6px5IJg4Nd2xgHQSKHkum2coVR9V5YSGUSXgydQllFIWu4rqxuXMBlZvB9f03lnfXp4K18qzelHZ1lRS0b4jKKJoULZU9SmD9xrg5knZ7MsKFS65vVYdJ1Hg7cS2BQRunLadLlRE48mD0jGBdHQozdmHpA3VUko9g7gaV8oGMRoTnchTe9y58P+1gWTl8Z60r5w7znVC/Vug0kG/1kCHqvD6RHSaQktJWz4ZRDXes1S7cZwLZdTnJaFS8aYcawtbVeVnHPGbQglqiaHEfVm/P6VCQrmOtnny6V955nKVh+mPglRVSwSnLMCnA4yNv5Qrl8WWPAAu1blbII52+VZsHg18dhVY9cHOvY/H9EwkWh+7tnUsTDbxtI7xUOUAmy3RbloPxIXsnvq6dSgkO6OLXWlcg0eK2PW2fHBiBOAU2TmK1x5bJR1NKVUUkjdAVGJqcJgN3AreRddlnbVnoGhaTx5ree3vJTp3BiStfxbzUshw/l5QPFrNW2ojaFY/QInLkcUYOU9tAw96nD5TVVm/YeVqaRG7s/9D6fCruux7HByoLxr16o702KOmD+aiDXWF1a4zu1ksyxY6TgGko0CJ9yFVIdBSLoBXBCx0CM8v92b9apmyjtaCEmZbNLq6dkuD6bmnP7k/XqWiAFvKk23ZmhBUpSy5CbRl9/t+9F/vf/6Lf/gb9v96Dzdn7cK254eZNbDPbZedLxTFQ81OFvexhQPstmc3jF0pPUvL7s8rb95EwCtwGoey67Gi6gXL2U72+5/67t/f2+UXS7+q+zblaX+vQTUWk8WX1DoKHoVCrzXnDHbcCzP53FmXyz7l+SeFPAafB6RogOv3S9bJaxvbrf6xT7+2+9z//sbd93zH1/eD3D4ASTTReO0GKKl6ifpMKxaoeXhlN3D8jX/1G7tv+5av7/ePeSrGrlNAVU540GB2NEFrH9T7LXkMSe/YsvSrQCk7vrZHnbQA4gWTIzVi36+tlBioFXAuGQg2dWSveYrclize5cGIO2/WuVDfNYGkJyAgXqLnRnmqLupzBiXebMqPXnCdGd5Ru3E+rGw4H93smNnV+z0KWmcuq+c94FBAs+UpXTau5+JQYnct69RRHMnrQDrLVd0zHmwZlFoDt9J5FEqtWJalXWoAw12rqBuvHr3l1qAo/71Unbic3//TH7/802Iuui/HBpMCxKunp36iAd66PnK3bed1FNey/LBChgekvZVML+Csrhy2PKh6Uih5ylDHAOd9aoUEmy8KJVth86RhpozUhYiMq5BrxUM8hVWJn7CiiuDI33sDOlNJSw7cJc5jVpWkA9Jz8SJIL1W3d//VKxDZvWzVCbM5P8DslTUCirYVgOSBADaJlLr3sGw2UXrL9gwY3s7Aq2hWb17+B0i8R09Ql9bEwfbhdDcOSuyy6dteIyN4DR+lbbklrfyze2QDMlNILaB61y41aC3vuUDK6lYd8JZuqS0AiBfh3rbaFKkPU0x4IScmEw262/eeouDJB9fADWTlxWpDlQfvZI9ez86gws56tqungvC7/QYYwb6tCY9X7CLQRsA+1UqbV55FlBIfPcJqpgUnDwatmaa1+tM7uHg2wbXRjOhJYL5fpoo47VwgGYQQA8nUZ69NtE6tYLG2BQbWnC0AfP6TBa6xksb9CRMA4iD2m0Ipqzfa3luB4vf5MbQ81cH9ht+W3AozePnoyyF0hS3q9ww4VlhQT5EbyLvdkXYrCgk2nQ0lDWoziFr+eiQzWdlUZXXWEVu/Vwe358Jwh4nKOkdBtPbLVMvda5sozqeTiMJ4DnCtnh944tl9UXGiQeQ6Q5XZv99939cvq6dno1fq7blvuC8rnyicwGBjGDCw7FodE55681wyr09F7/OrjBWUBfe3v7ekkBaBEseQKp2AO3ZLYUSdgO/Rkqet61uznnamKJYSATUq05QBq0FTVgxVW09JV4USK4kp9eOyWSBbH/r13HVWIfaYzFeffWb3xocfnQwmVU288ua5Yz/51C/v7+XtYfLax4thIZ2u8mlab3LuOQmgFS9DvbemkGZDCS5bCw7cUJnROXiZuUQtlaXg61UUXgzBg2EkqxUEvQM2e6pdO+sU8FSuydrLfu+tm3dffiVUtBcHtsbzevoWGe89fFkfQll0nxBgq/3mgx99en8JH5in/dBzo3gMqPriSdDrt14dKuPN81AU8ltUSLOgZAqpurmromg8GVwZODxAK0oiiw9594wg1YISfuvdqW1xFX5WycrTOm7Di1/0Qjizs8ba8PcSQPI2G+oGQIZjBUY60L0JRevMNvNii/adrZyZmuMYFgDG+XmbIe10TNtDZh910xhsXHavTF6fq4RI1Ab2942CUuSyRW5RdcaqzABRZ5oCm2gwehCKOq1XnoqC4KM3bGDyg5g4hqK1g1c7p4LIs0cUgG3lFbXdEkAy23mbDXWQ9UJWXW5v0Gu78YkJbCcsKniBbJ4QvTJ6ShNQqk406kpn4YSoPyqUtgwkK2tXoLviskWxgJay4OXO1oayyE+OOoVKYv6bGyobxFFn8GagijrSwYhl3wqYo0GWDcZMVSmMWy7yElBiNxWK0NqXzwTKgKTHrywxOVke6I9QQqxuuM29lzhyGcxdw7NuvJrY6uM9fVQhVBEAW40jcV3KUGKXrTJ41LiZwXR/ic0m+qQ0w8srgwfEzD3xJLOWNatvy13TA8kshsIf7I2x76JzmBV+OoNi8LQUUwalrIOzDeZASc8P4rJjqb/yVle7LjsTKvs96htWDmxv0APysjeMcN/BZkl2+7ztDC0F5JXRm0DYjt5Ys/a7/4FPHWR35877d3fv3q0OkaOlK0GpopC8ErdmW6TXgcRnKfOsCchlcItmmsiikUryBngEQsu7evwF1B5cAsygrdhAZKusTnxd1S3NADwFSBq8j4LLGk/KRsFU6LTyhZ2snt6LBlQdcX9U2xmUcHyI/cZAgpuOyQhQicrW8gYq1yiQYhu8LzP76r+nUMqe9G9BojWIo5nZ29SGtBpct+95s5k+AzXFehoLiODEM1MFSFovfjAzOnIiAn1Wr0hJKdw8ULXg3wskfoBWDyGz+yA/HfzViWUpKHn2YhtnbiFcPlyjR4ToYf+8gZH7cDYhcJkyT4FtWAeS17OOD6kmlBRIWeN5VfJcocqg8kCkA0Z9c8xG0ZPe2X15tmp1EAaVnsfD91CX1H6Du2b/2vEb9hgFv5EiUk4ck2vFWirKL2qTTIVOhZIXQ2Egqd1hwwwGlfbM0rRswXZulQVQyo4X6YEOQyVrF55svDE6D0qHFjyGyxdCqXJaZNbg2rl0ptbrI+NX3ECvEbNAaVT+yCfnjqkw0g6n2xzglvIxG57y07gSB/fZnmwTHtRZZ24NDIaHupO9QDL1E202tLz4IDqNBapLFPWTKe2rg7bV51QtKaR4olAw8AQabXOI7q1tXoWSN76WBFI83pdVUy6UlgSSB6aoM6HDVBuhMvNEHScDagQmu46BlB38rlLdrq8sCWvMKYspqJKqutUeTL3yVaDEh8x56sjqHsVqKhNBBqueNlXA8CKK5qM28iDaap9qGKPa77N6oizHAZJXmnmQugalNYCUGdGbkbIG8tRTBVLRLKSdygOkpfECnV4Hj86tziS+2cILeqsyUpvNUUicl3fvCpD0CF5vv5HnKvF3njseqcAp6slzbdQt478zly3q1wotz8WP2jPr95WxZHmfDkjzIXUApbWB1BMj0M7hQYMlcqux0AG8Tt8j561zZceF6CDLIBSBNJqdM8XUglN0LwVIj+vG7yxD3dUtrdiA4dNyy6I+FLWjKuXob1X03GewgBJBNZsMFeq2c1+P7uVJMOrrFSBZmkce+aXLpPfd82D1siOly1XUJZTu3LmTDri5pc6gVJ2l0IF1RvJmVU/xREqEO6YHhVb9K/fxOq/GcXAPDtZ7gK4MztasCxt4wXgrA+7vqaTP/rN/sPutj3/v5fHCrD4jMGksTf9m2xoE9CA3T9Goyxqpx8gOrQlB+xLnXZkYeHLQ1dnshMrqZIsyseoyhfTya1/c/2RAwv/x99wxPP/6IpQMSN4nUwXzC+jn4MnsaCb1QMaNqjOjdi67PoonqIuogyC6t92jurUB5fFiMJk6bA3K1qBSq1s+0bk+9psFrHlmr7gYrSA+b4pFvQEi7zyhlkJpTUQ8ybT6akWtRrZuKXpv4lBoo+/htUYV27YACbeNYYT0p1dNOZCsrAdKKYPMqSAVlYsbsDWA7Xo90ybaPZ3JfcuL9xjxfTPXLZP5gJkNzApMdUb1FKBnO03H+6Q0wK6/ZY9L6OzNdYraMXJVq+lbg1TBFAXgYUtALpqAonRa1kyd2cZKO3GAJ75o4o3y5r5ne7Yeeuw9+6R3735id7F0/4m9UoJi8qDEqsquRfqMBf2/14B0ACW9SaSeON2pIKWuUitO4HWOaImWO0VrQGCp2wboTzz14uX50bjGXBP76OmJmicUin3Px55Gq3ORe9s7u3I5WNEZqB//qad39p56HNCPekDJWH1xEJsCpwXSlj35t0h56AQU/R1NEriHB+6qO488OLbYCmLDPvZv66wmgK41ySpcdRKOnrl86dWPNKGkIPJcv/kKqw6kJpSmQMrreGuDi129SqNy42YxKTnHRUMAACAASURBVHYtWHYDOpaX93pl3KN1PlDkknjxGa/T4h5ahyhfr21wLxzLgfoYkOw3e8zHPnhUwlSTbfj8uR977Fo8SctTVW0eyDKVyJOHpz6j66tl8mxlebYetuaAP5fPW4XUY6K9SdULYURxxFa5AKVoUlClFKWb9/1KUFoKUprPXGhp47XiPN5A5vJUZnqvY0cnAnrBZLhmHjy4M0czeyX+oXXyTlHk++uB86wEGbB4dbRBid8XpvDV4D3/7g1STx1VYzUao2kNngxKqj6QV+XkB+7HViZbIODzorK+xW5cBB/9HvfpBQbcO1xn4MJnvirS0vQBya5On32rVrji7lXzmgsq3Kfi1mQdNfs9gkerrq3YUut+Wcet1FfvzeDUx3MUZlw2DVa33M9KHIftFbmp2q480KvtpO3CZavsx2q1q54IoWest1Stup0eIHUCrsCyOuYsHeC0HJj6gbQolLaqpLRcPQM3c+9YeUX3iaR5pNBawPI6mHbeinLIwKeKTe+hsOJy6WuEWEV6Kgn38gal5463YklZ20YKLnPNegY20uqRJx5QvbpEas0rw9JQsnuYirLPfLduGpBWhdLSkIrUkz7yMaUDRTNwlFckr6v3xozH/+q1FThFs2m1HJbOA2+kWhhWChj7WwP8eEOJPXRsn9bjNV6ZPTv3gMezobrUFsBfY3BHUNK+xhNbT79ao8zaBli9s+/71NN0IB0VSmtAKgs8ZjN+a/C2YOcFIXtAoIO+AiAAJKtTpCS8zu+VWRWLgiuqJ6/iGXwQf7KVPPtYsNw+uhUjUkgtWFbAFC0y6GojL6VPbUPvush1Q72qqhHtzXY6BpC4ThpzyjdknimUloZU1KHQOTw3Ctfo82xLqq9qR88GWiUfrmMFdF58ic+k0lUiVRnZ4yNYwbOTF+2D125bXe037020DF+t8xI2UiitNcCjfsd18tzoyB3HdXPjXpV+1EoD987S+C7ePCBZvosFuudW1rt+qeA5u34tAGkZlgq4V2yzxIDj+0RQ8oLldp3njtn30coZD25Np/XlzaaVeBarAy/oXbGnl+ZYQLJ7e29qaZW7FUuCMl8LoFPtieuuQDUfSJuH0qGxntzvUj3m55hQwkCEUqi4Ydk1FVtpXMtTQ+qaId/W0r/eG+dV83vTEIfCa6Wi7RJsk4oC1HujnHweur1dFzugK3bqTeO93ThbfWvF0KYoJFY1Wn4dS0g7dYwtedb3ppXSlSGfdPvEVANmHezYMMrKw/DBAK1c05MGLhVUj7dqVlFTfE8bhHy4nb0zjWGrj7TgWnW1vXpkcFIAYF8V3tumu7IrCyk99sSrs7xd/Z6L5gEL6apxrxaEespuac01u/8NfzK87DAI/id6s2+mPwMoXQdStFy5BKR0Z+6i1t5IZp6ryAqp8laVqCoRLDiGpPev7DHyAt+ZmqyYW8vruVG9bpN35rin3qIz5VUxVe+vq2WV59j0wV1eZcP1GFf6yMpV/su4bbDRxqH05MHRC1Zoz2iozN0Xn9vdefNDl+0/FVJbVEqVAVZJE8WuAIZMgeg9WoM6W6VkdYbNl638W2WMVrVa8MRv1aX4Chw8ty1SelHZ2G6Ve3I+vfuMGDxeEDsq40uvfml3/xveurvvnmVVkt1vw1A6VEi9m7kYUEr8yuC1NDcFTtGgw/etHddVW6nrVRlwlgZgit5/50Ey+g75RaDUM5qyuilUM0BAIVXsuYZCs/r07MrmSZtVlk7+aqe1FNLGlZIfQ8o6kf5uYNqTl9QTp6kqqZsCp5b9IgXVUk4tOHj3ijaLerEqXfWz/Ly31HCe2UCvKiLAzf6FO9ezJy5aGGCbeO4o/54B0LNvD5D4+mlnLy3rsh2My7tLhs17qeGmv3DZ+naQ1m6s7p1dxQ3SCuzxHSqQaqkTXpbn2R336Bk8vaDJgqwYiF68pkehZMHqDETsjjGQ+DrEqVjxMcxay+y1HnORyvKPVr94PxI/yIwXRrROiuD25rL2AoldtiXGTSvOdFHm9YC0FxHbgtJVDGkJ4/Z0PE2brT70Qoo7oL7zzH5rvZBgKqS8PT4RlBSIHpzURh54qu6WByU9fdLy4hMxW+dUQZ1wkH4ulBTM3E72f44fedsb8B1O7WS3jsvGbmJ1pc3u3xs/4kmYj8rVY3Mtnf5+2Pa3BkrXg9psiOjUvKXglW+d3x19n9RU8E2FsQcxzstbto7u5QEhchFbeegWguhYXlZNHBCfaguFNKtbVmZ81jjqHB0trCD2bHTn/k/sgeDtI4o8CPv+KvDsvyiA+7elfejeRyc+dLsukDaklC5iSJFsXMud6+2wGmyvxqR671NNX3Ejq3lpOo3V2O9Vly4Cmfe9p9w8lcaqyatT705xho66017+UTzMU4vZFge+hu9tQMIHk21PvOe5V555fUXs8IUBBiH7GIh0nLWOyr1uh/WBtBkovfzaP9nXH7TXhmHjeGcK2+9zFFMVetkK4FYglS3FzwGVgkVh5QEF11TVk6coqoH47MC9yG3KbGLutS73e6tsXrBdFaiCzP4GkLgfW3/ih2G1jP/886/uPv65e3Z/633+iz+yOvHvDEF/LB0HSJuAEoCkBowg46kpQMULZPc0zNJpTwmpNVSUF2PxvmMVEgHJUx48oDO1Ef2O7/kQOitDtHmzpdQA3FbQvgXQCMIKRrynTfu8p5IweUP5wHWzv23fkDe5R/26PpEfD0gnh5IHJC/opspJ4z+VeBDy8FRRpoDmwErvd0pQoR4ZsCpKK3Jn1FZRsFmVjweHbL+PF+fB/XHYnCqXSN0wSBUaHgAzaEIxqpLUepoC8zYtstcA94vBY///pRde2f2+B+695mFMgRD6qT8WbgmUMoXUAk3kwqkcVSCsCZ8p4OpZ4ZuS/5LXtEDmAcaLSXF5KkFvVjc6uFWBcX4eeFrbBxgwkXLismsMquVaZlDS12tz0JonY/RdA9G33fe13VPPv2nvur3jgV/f/fA7X94nhVLCdRoOse8rsarDcXNcIJ1QKfVvjoykbM/Aa733Cg1WjS/13DdLuwX1lJXRfs8UlkInc1+iwDkPZM91qkJhTmwK91CYKQxRVlZklfJZGn2bLfK2gLUFpf/RZ5/ff/XH3vGG/b9/4cm7u//1+ft2f/59X9q99+1f2X3u5W/aPfvyxVlVBij7/NC7v7pXT/bxYrQe9LjdDsfI8YF0EihBIWUxo7q/e2VSTwlVXLtTK6hzgRJ3XgVU5vJ5v0cKyxv4Ck11H1txH74Wq3j2HR+VwhDCb/av56apS2jpGMDmkumrubUMvNIGgJj62d/zpTu7P/LQq3vg2P9NCZkKUsiYarKPKacP/cJb9sB6/Du/vHv0/ru7h+97bf8b3Dvcv7UCZ2muxt1pgHR0KKnLpvGj9oYt7ZaHMGo9qJstq54CSlym6k7y2AKn/UVPWcxKkwHMruc0LVeQV7b0Ov472oMVbeK0a22Htr3Xj8+AYmC2XNAIZvtBd/8n9oDBB4rH1I+ByYBioLHPhz9z3/5fuGhqW3XZbEXO8jH4mOLie1ieHAy33/T6CzAt/5Bt1if496Pt6K4EtXnPRBUUnC5z8SLoVdRUj1F70p5TXKlVLwNTFNTms4uqtmmBSyFVhVz13pbO6vLBjz69vwRvC9ZXlmfHASMfvu/Lv/mJ/Z+AD35jYLQWe5De0mBfEgPOfmfIKYTwu/0L8CmYbgWUoqC2dhJPOXkdKYr7tFbWLmaAfLerplszxoS8z9F96xngXlp1/3rBpQoJ98i2KHiuF5eP3Tscp2LfmWqy3eT8O85DilQY8gWsP/alf3npmtlv6lrZd557hVU2nVRVCX3X2x6+3IAMUF0HzgXMVElBNZ0aSFaO1ZVSD5DmdnRc31JMuklMVVJVoc0pq95jKSh5h3ydo2sIYFUUkLVD5N5V4ljajgAQqyIvDsXXqavp9Q3L41OvfWz3dz71xt2P/8EvX8LH0iL4bArHQBWtkHlKvzVpop8ZoCxvqDGDnMWrLIDOKuuhe39kTrde7NpVocRBbRgez9xMCWQrdCKZm4EHHcG7vm/bvd8OEdi8DrQUkKJjK9YC4GI9sJFRyyVUGNnfuurlpeF0lTowkCw9qyMOrmug3NIikL6f/ekREgSs+fEPHR92DfoitgFASXkhC29Htpcn6nz9WbnTBba1HVaE0sUDtt5eCS5Ea3t7y01Do3nqSIPerftlcSi9DwOt0qmR3stnaSB598jKuFQZsvss8Xu2JcHbYuDdN3Ph9BrdiMkA0riSviEYS/9wtTz3jB+Q5YkSq2u6QVLHFAMGrpk3LqI22ILLxmVbBUrssnm+bSRDUbApsR+uVASaiiz2ALbEgFLALgWDnhMDK/VYqlyVe01NE8HJW4mbAiVWXJannjpQ2fiJ++IRkmhitO8ZMhgbGrzG9YCaQkd3fXM+F8fWth7S3Y5KsnotDiV+uNZugP0V5tPah1cZvA7jqRwPUuqWKIgiAGnniPLJXEOFYOaO8n2WGPjRecpZOXpBsERZe+85JT0f1q9QmZJfdd9TK+/Hvv3i5FP9RB4A1BQHp73x4AHLW9rHfVkYXF9MOu3yv2efRaGkT/uzMSLyM8VbSiZqXPs+WrWruGatThXFnLJOHgFy6gBXNYT7t1zfrIxTf59ah6n3m3Ndz6MxfB/e2sDqy3tjsF3nbQ2IHrK19F6/1MmEg9QMnMpZSJq/jj3ktzW3DW2wIJSuDmnL4khKcPv7ylBXMtNz86JOyrPPXBh5g16/ywbLEgFmfY9XtV5Lq6Vopkd5zmGFT5WU1SnbeIl66+5x+14D4HoMr3cUCfKLoOQFsHXS1eB4qx8CYB4ItwokK+siUGot+0eUZjC1pCcbveLGRTNRBhHvdw4gRitqlXynqIvone2tWZZ/WxNMPAFMqVvFZmulyXafR9sQenZvm0pSt8v+zo7W8fqYtmkFXDpmWHXZb1tZ+o/aeDaUnnvlpy/zjuASxWc0OJcBrKpW1GevKoyegZAF4/F776DF0r4HxJ7yVW01JU9c01u3Ofda8tpsFc+7VxVKX33rv9tfzhsZ7e83vfK1y7fq4C07l3Z03raTTYLo45mHgLF32F+3FdhWe8+CUnVjJN+UXTtAiIPgWkAN+kVBwqjTLgmkljvpdaKeQWswinbhRjOffR+VaW3V1FO3JYGyRl5TIIVyMKx4pa0V71PFxJCKXgem9W6Ng6jPX5Rp20Cyek6G0hQgqWF1ExngxEcv4Br/wcGrx0YqsGo1lsriSN0pIPA3512JsTCEOM9oyTcajK1VQq1vtCDQO9CXABIf81qxV28Zp6SfAyeci8T9yFbT8ByaPWSL3dqZCuope8+ku+U4Etd5EpR0H1I1JuQZW104e8rZPjhDxv7f49ZljVSFTZZPpFIqAxaraVZXPBHOR1NEKzHVztpaxVxCQVXq2Cqr1Z+Xv1k9m5vzDW/5s9WqLp5uCpj4qX8eC9j8aI90AErRpDanIrU23b5Cgg26oWRAqrgZvUZm8NgT1Hb8An/w7A6eD/Ly9/Z0sE9dCRJHAxoQsn89VbWXnXfe71ZbVREAxIl7z1furX9U/t52mgokfS4vuq/nyky9Z2/dNL23YufliSf/7TdrR96JjfTRijT6WxYEn1eX8wHSfhz1vYyy/W42VQ+RIVtqBXDic2UwYPkZIOSdnQ+TrUK1ZhkOJuoM57mLPHh0bxGDnA/n6nVZezunF3NqreBw/p5tegERrSJezoqvg1y3P7QGaW8Zem2G9BUo4T1tcNVwHAg/TqLegAeqyurctHqcF5A6odQ+wjZbDWgt53vG1o2XPAMhPToAZijNp7pCBvUTuU2RAuP7tYCk5cKrcex7e2KcP+zGVfd74fooZuTBxVuhbLmN9lsvDPQNrlzOfee78/6DQ/N7Bh0rqiXcPc9ty85t4jiS11ZmMz5epBLmyCbRHhtdpL2xUOo/U7tlPG+mztwsbXSoDbsPH1aVyWSUS5dSPbetVSak92DkQczua2WD+2lg+rtPvnX3sx+4cFN5NuVjJvo74dUVUTk4T66j3ksDsj1Qih6DsXsAcKqO7LepbswcSLWepdPd3fibN0dGCwoV+2ft2zOZX097fkAqKqVlgQRV0lI1XiN7zwXpYM5cuawDeIMVg4jLHQEpyt/qA4ja/hXklQXdI9nPZYrsqXWppGN76laMKpB+48v/cL8fB+4M9uuozaKjVrI2yoK6HtSqZWc4eeeHo2xw2XiCQ5t4b6nNJtyszlN+P5eVNq9uSUxpeSC1Bkc2SFGBllszJwivqkEHAKsrVUitjsNQsnQ6UNkmuncL2yOi/COb9W6+jOzmATgqCyufn//Cs/tkvImQFRJ+99684cXBPABE20CyfT89kNLjUPiVSBpzZLWtdgOstR46wbBtoxXgbDX6nIFk9W9A6QJIUcNPofcSDcJgsv97myvnlI07iRfo5tiK535497Z8eE+WnqmjYFFAVBSTusS98SgutweFbCD/6lf+tvv8ouar9tGBp+VWF6j1N/LOoKRlyOrG6bmepn6hfKM+1zN5WR6tssNWCiXc++Lh9u099d87HgMoraOQPCjhuyn+d+/Aq6ZvKTbb6FeFEerGKzOtYOcUG7D9PLcXE0sEHfue1ZkeLcMQ9jpX6wQDb6bX2JluKPTu0WoPL+ZSGQReoJ8nJA9U2NqBky3Utl5ZNB/LgxUV39OD6mVdvvz8bveWt18+qhKpqBsJpTt37uzt0DvwKh2B01QHEF8zxzXzytfKLxoIUwYB4mHe4zQKKQ+cWb21k3NHj5b/YQ9vlZO/4/pigJkr8pV7L87H4u0Nqlq9+IrneqgS9AZta3tGT9+LXHKoWRzXrBCP7pHFuBRKrS0SUZD/Uj29DiYui8Xvrq47z8C22vZAKQFI0YzY0/hz02b+dGV5VYHmXZMNeC8PAMuL26jrw/WIZDfuoZsqWxtFAZ4IOtHAxr24nF4ci+GI372jXKN2tvz5CFi1AwZ/5KpGjxV5/SJTHq3J0H7LFHRrIoomV7ULKzN2w/ixIu+ZODwLp27d9Yd6/8zcIbeZ66+5by0wcanXVlJ2rwhMvdZryX90Si/PCGKAB5SPXesFpKNgswcEy0P3KGmZuDw6kOxvbyuBp6K8a+1euJ4hyXDR+6PMWk5vEEOJRNdoHhyDUwWGtJ7qAaztX095tFxK3Kc1sbA9K6qZ44kt95x/U+CwbaCMDr+7OUCyeqU7urcEqQxU0YyXQckDUqSg+HvsMMfrlpEPXpmsL/tDOSJQYBd7tuLG5dUYjfeCwUr9PRUHNWN7qvAqacs/UnCsqFjBZe0WQY0VhU4QWie2rd7bU0peegaaKhu0GW/4rASxuQ5mNw6MZ66fB6frpwjcDJftALJ9j5nYLtyLmFPvZy1l1aOmMpcGqkn3O0WKBe/Psuf0NF7EqoVhqbOr594hkNpTNy9WU2kjXGdANPDgY++ytw+W9P/6p17bv6PeHpTGyxE1FoRrPTWhdelxmzlfbyBnismDUqTMPJsxkLzfK307AlALoFB73j2v4DSgdM0+UyHFGaFRpz520DN4vVm5J37lDSYN9qrr4Sm4yMWJVFvLleRrKqrIG5D83Yd+4S27dzzw63sI/elH3r53o/khU4bSFPhWYKkgimCO73VzbaSEMhjpfSrbBRRKXj9uxZ7g4umxNQdj5MXrLyG48+ab5bahvqn71tOBLO0SkMI9KzOQpZ0Dpd76Rel1FcvSeU/+qwvH5eeAs77rq1LOSH1UQcUwtfuxm8Z5mztn6tB7HhGup8ZPepSR595G9de6RXE8vl4f7IYyrQAoKgf3VYUSu4LmkmHlMotJRSrqIlZ2M4G0Z0iv+1YZHJxmKUhlgMrAxJ03cjsqdcsGjN7Hc8Uidy6rQ1Y+Ly7kBaeRT7aCma1KcXmQFudh8flBPfl4dcygmqmoTAn/9jf9aGbart+9Fz4opD0X93IyJlXEq2832WU7YMbaUNLWnAspD06VgGO1V7VkdjUPpMviCJZOO2vlHtkgbeURrbyxskO5oveQ8YoS7sVBf8SmLC7VE7TPgN8ClmeTaCLiulqaOQrJK1N2XAv3jwhWcRvevBjSNUYcG0pLQopjUVnnqAx2Lw06bKbUpubP17FcrwR07dqKumpBrBogj4DhqTMrFwf+4Qb2uHBL2BNw1cUEjoOtcRQvnnNrrUBm6m5AaakesEA+c5XUVDh58OHvOC5QqWav4vI68BxFVCljFUjIq+p2WroPf+a+3edf+E27H3r3Vy/fitx7P1WSnsLw2iUCut2fz8x+/Fs+UDFTdxo9ZTOabLh+UZkP4XXzVZLZZPWYUneLygVLQaq1QtKS73hWqRdKvfXOlFFvfj3pNcBt1yLepEe7VoPptoXAPubC8WF8Ubmy+JYC2ovJZO6yxhLXUElWP3XfssmlFfC+Atr5P2hb7ZObhxJXZClAVY2jHaznuiXTVly06H7VpXG+Xrc4VMGkZcA+LvveAt92gD6fva472L3nABmQUBbZ8jrKwXW3+Bg2udpeqzViSbgvlFJldc1A6b3BhkF2Ex6y7RkPZwUlrdjakDpGHKmnsSxtBigvcN5a+cH94dpkRwxzegWG1gXKBDvV8VYPTzl52ydaqkxtoTEvLwaG/AwCqo4RB8Jy/pzgN7+txcrJ0PHaL3KLL+x5O1y2A/Fx6kB376BspV8SUny+dDbjLVmHKXl5+1kiVwb5Z3BjVyfa1McubTTYvProM3rZVoaKCszqpfEk73Ec3uOE/Hrh1DrKJQMpK7yrOg8oTRkTm71mDqS2qJJahu6JeWWztd1HZ2/NX6GXQc7yhEsCCLXe5JKpMLaFp4r0O0BJtyi0NlvCxbO+UIGTtz9JQcPbKaIVONjqNqokq/tZu2+9NJwCqXODU2STDCLenp6e40O8+7YUJg6+w3U4XA6PsCgYEXuJ9k5BhXjuK/Jqga4Ftv1ACd7ph/Kb+/f8Pa/s/4zecsxQVnf1uq1un0K6V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style=\"display: inline-block; font-size: 22px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; \">Kernel</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"22px\" text-anchor=\"middle\" x=\"36\" y=\"120\">Kernel</text></switch></g><rect fill=\"none\" height=\"50\" pointer-events=\"all\" stroke=\"none\" transform=\"rotate(270,316,261)\" width=\"350\" x=\"141\" y=\"236\"/><path d=\"M 341 86 L 316 86 L 316 436 L 341 436\" fill=\"none\" pointer-events=\"all\" stroke=\"#000000\" stroke-miterlimit=\"10\" stroke-width=\"2\" transform=\"rotate(270,316,261)\"/><path d=\"M 291 261 L 316 261\" fill=\"none\" pointer-events=\"all\" stroke=\"#000000\" stroke-miterlimit=\"10\" stroke-width=\"2\" transform=\"rotate(270,316,261)\"/><rect fill=\"none\" height=\"20\" pointer-events=\"all\" stroke=\"none\" width=\"40\" x=\"161.47\" y=\"231\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 38px; height: 1px; padding-top: 241px; margin-left: 162px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #006600; line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; \"><font color=\"#000000\">t = 0</font></div></div></div></foreignObject><text fill=\"#006600\" font-family=\"Helvetica\" font-size=\"12px\" text-anchor=\"middle\" x=\"181\" y=\"245\">t = 0</text></switch></g><rect fill=\"none\" height=\"20\" pointer-events=\"all\" stroke=\"none\" width=\"40\" x=\"294.93\" y=\"231\"/><g transform=\"translate(-0.5 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-0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 38px; height: 1px; padding-top: 241px; margin-left: 430px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #006600; line-height: 1.2; pointer-events: all; white-space: normal; word-wrap: normal; \"><font color=\"#000000\">t = 2</font></div></div></div></foreignObject><text fill=\"#006600\" font-family=\"Helvetica\" font-size=\"12px\" text-anchor=\"middle\" x=\"449\" y=\"245\">t = 2</text></switch></g><rect fill=\"#ffffff\" height=\"230\" pointer-events=\"none\" stroke=\"#000000\" width=\"203\" x=\"181\" y=\"301\"/><path d=\"M 181 341 L 181 301 L 384 301 L 384 341\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 181 341 L 181 531 L 384 531 L 384 341\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 181 341 L 384 341\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 201px; height: 1px; padding-top: 321px; margin-left: 182px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #006600; line-height: 1.2; pointer-events: none; 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justify-content: unsafe center; width: 62px; height: 1px; padding-top: 373px; margin-left: 170px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 0</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"201\" y=\"377\">P 0</text></switch></g><path d=\"M 221 371 L 221 341 L 275 341 L 275 371\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 371 L 221 405 L 275 405 L 275 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 371 L 275 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g 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stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 371 L 275 405 L 330 405 L 330 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 371 L 330 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 53px; height: 1px; padding-top: 356px; margin-left: 276px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 1</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"303\" y=\"360\">t = 1</text></switch></g><path d=\"M 330 371 L 330 341 L 384 341 L 384 371\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 371 L 330 405 L 384 405 L 384 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 371 L 384 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 52px; height: 1px; padding-top: 356px; margin-left: 331px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 2</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"357\" y=\"360\">t = 2</text></switch></g><path d=\"M 221 405 L 181 405 L 181 467 L 221 467\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 405 L 384 405 L 384 467 L 221 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 405 L 221 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 201 436)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 60px; height: 1px; padding-top: 436px; margin-left: 171px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 1</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"201\" y=\"440\">P 1</text></switch></g><path d=\"M 221 405 L 221 405 L 275 405 L 275 405\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 405 L 221 467 L 275 467 L 275 405\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 405 L 275 405\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 405 L 275 405 L 330 405 L 330 405\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 405 L 275 467 L 330 467 L 330 405\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 405 L 330 405\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 405 L 330 405 L 384 405 L 384 405\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 405 L 330 467 L 384 467 L 384 405\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 405 L 384 405\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 467 L 181 467 L 181 531 L 221 531\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 467 L 384 467 L 384 531 L 221 531\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 467 L 221 531\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 201 499)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 62px; height: 1px; padding-top: 499px; margin-left: 170px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 2</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"201\" y=\"503\">P 2</text></switch></g><path d=\"M 221 467 L 221 467 L 275 467 L 275 467\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 467 L 221 531 L 275 531 L 275 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 221 467 L 275 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 467 L 275 467 L 330 467 L 330 467\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 467 L 275 531 L 330 531 L 330 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 275 467 L 330 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 467 L 330 467 L 384 467 L 384 467\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 467 L 330 531 L 384 531 L 384 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 330 467 L 384 467\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><rect fill=\"#ffffff\" height=\"230\" pointer-events=\"none\" stroke=\"#000000\" width=\"203\" x=\"214\" y=\"331\"/><path d=\"M 214 371 L 214 331 L 417 331 L 417 371\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 214 371 L 214 561 L 417 561 L 417 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 214 371 L 417 371\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 201px; height: 1px; padding-top: 351px; margin-left: 215px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #006600; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \"><font color=\"#000000\">Latitude</font></div></div></div></foreignObject><text fill=\"#006600\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"316\" y=\"355\">Latitude</text></switch></g><path d=\"M 254 371 L 214 371 L 214 435 L 254 435\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 371 L 417 371 L 417 435 L 254 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 371 L 254 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 234 403.0000000000002)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 62px; height: 1px; padding-top: 403px; margin-left: 203px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 0</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"234\" y=\"407\">P 0</text></switch></g><path d=\"M 254 401 L 254 371 L 308 371 L 308 401\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 401 L 254 435 L 308 435 L 308 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 401 L 308 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 52px; height: 1px; padding-top: 386px; margin-left: 255px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 0</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"281\" y=\"390\">t = 0</text></switch></g><path d=\"M 308 401 L 308 371 L 363 371 L 363 401\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 401 L 308 435 L 363 435 L 363 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 401 L 363 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 53px; height: 1px; padding-top: 386px; margin-left: 309px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 1</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"336\" y=\"390\">t = 1</text></switch></g><path d=\"M 363 401 L 363 371 L 417 371 L 417 401\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 401 L 363 435 L 417 435 L 417 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 401 L 417 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 52px; height: 1px; padding-top: 386px; margin-left: 364px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 2</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"390\" y=\"390\">t = 2</text></switch></g><path d=\"M 254 435 L 214 435 L 214 497 L 254 497\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 435 L 417 435 L 417 497 L 254 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 435 L 254 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 234 466)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 60px; height: 1px; padding-top: 466px; margin-left: 204px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 1</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"234\" y=\"470\">P 1</text></switch></g><path d=\"M 254 435 L 254 435 L 308 435 L 308 435\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 435 L 254 497 L 308 497 L 308 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 435 L 308 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 435 L 308 435 L 363 435 L 363 435\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 435 L 308 497 L 363 497 L 363 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 435 L 363 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 435 L 363 435 L 417 435 L 417 435\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 435 L 363 497 L 417 497 L 417 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 435 L 417 435\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 497 L 214 497 L 214 561 L 254 561\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 497 L 417 497 L 417 561 L 254 561\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 497 L 254 561\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 234 529)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 62px; height: 1px; padding-top: 529px; margin-left: 203px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 2</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"234\" y=\"533\">P 2</text></switch></g><path d=\"M 254 497 L 254 497 L 308 497 L 308 497\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 497 L 254 561 L 308 561 L 308 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 497 L 308 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 497 L 308 497 L 363 497 L 363 497\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 497 L 308 561 L 363 561 L 363 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 308 497 L 363 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 497 L 363 497 L 417 497 L 417 497\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 497 L 363 561 L 417 561 L 417 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 363 497 L 417 497\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><rect fill=\"#ffffff\" height=\"230\" pointer-events=\"none\" stroke=\"#000000\" width=\"203\" x=\"254\" y=\"361\"/><path d=\"M 254 401 L 254 361 L 457 361 L 457 401\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 401 L 254 591 L 457 591 L 457 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 254 401 L 457 401\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 201px; height: 1px; padding-top: 381px; margin-left: 255px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #006600; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \"><font color=\"#000000\">Longitude</font></div></div></div></foreignObject><text fill=\"#006600\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"356\" y=\"385\">Longitude</text></switch></g><path d=\"M 294 401 L 254 401 L 254 465 L 294 465\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 401 L 457 401 L 457 465 L 294 465\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 401 L 294 465\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 274 433.0000000000002)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 62px; height: 1px; padding-top: 433px; margin-left: 243px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 0</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"274\" y=\"437\">P 0</text></switch></g><path d=\"M 294 431 L 294 401 L 348 401 L 348 431\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 431 L 294 465 L 348 465 L 348 431\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 431 L 348 431\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 52px; height: 1px; padding-top: 416px; margin-left: 295px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 0</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"321\" y=\"420\">t = 0</text></switch></g><path d=\"M 348 431 L 348 401 L 403 401 L 403 431\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 348 431 L 348 465 L 403 465 L 403 431\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 348 431 L 403 431\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 53px; height: 1px; padding-top: 416px; margin-left: 349px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 1</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"376\" y=\"420\">t = 1</text></switch></g><path d=\"M 403 431 L 403 401 L 457 401 L 457 431\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 403 431 L 403 465 L 457 465 L 457 431\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 403 431 L 457 431\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 52px; height: 1px; padding-top: 416px; margin-left: 404px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">t = 2</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"430\" y=\"420\">t = 2</text></switch></g><path d=\"M 294 465 L 254 465 L 254 527 L 294 527\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 465 L 457 465 L 457 527 L 294 527\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 465 L 294 527\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><g transform=\"translate(-0.5 -0.5)rotate(-90 274 496)\"><switch><foreignObject height=\"100%\" pointer-events=\"none\" requiredFeatures=\"http://www.w3.org/TR/SVG11/feature#Extensibility\" style=\"overflow: visible; text-align: left;\" width=\"100%\"><div style=\"display: flex; align-items: unsafe center; justify-content: unsafe center; width: 60px; height: 1px; padding-top: 496px; margin-left: 244px;\" xmlns=\"http://www.w3.org/1999/xhtml\"><div style=\"box-sizing: border-box; font-size: 0; text-align: center; \"><div style=\"display: inline-block; font-size: 12px; font-family: Helvetica; color: #000000; line-height: 1.2; pointer-events: none; font-weight: bold; white-space: normal; word-wrap: normal; \">P 1</div></div></div></foreignObject><text fill=\"#000000\" font-family=\"Helvetica\" font-size=\"12px\" font-weight=\"bold\" text-anchor=\"middle\" x=\"274\" y=\"500\">P 1</text></switch></g><path d=\"M 294 465 L 294 465 L 348 465 L 348 465\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 465 L 294 527 L 348 527 L 348 465\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 294 465 L 348 465\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 348 465 L 348 465 L 403 465 L 403 465\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 348 465 L 348 527 L 403 527 L 403 465\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 348 465 L 403 465\" fill=\"none\" pointer-events=\"none\" stroke=\"#000000\" stroke-miterlimit=\"10\"/><path d=\"M 403 465 L 403 465 L 457 465 L 457 465\" fill=\"#ffffff\" pointer-events=\"none\" stroke=\"#000000\" 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x=\"50%\" y=\"100%\">Viewer does not support full SVG 1.1</text></a></switch></svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import SVG\n",
    "SVG(filename='parcels_user_diagram.svg') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These four components are used in the python cell below. Further on in this notebook, we'll focus on each component separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Casting lon data to np.float32\n",
      "WARNING: Casting lat data to np.float32\n",
      "WARNING: Casting depth data to np.float32\n",
      "INFO: Compiled JITParticleAdvectionRK4 ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\35821cfe0ca062441b33915339ad4dac_0.dll\n",
      "WARNING: Casting field data to np.float32\n"
     ]
    }
   ],
   "source": [
    "from parcels import FieldSet, ParticleSet, JITParticle, AdvectionRK4\n",
    "\n",
    "# 1. Setting up the velocity fields in a FieldSet object\n",
    "\n",
    "fname = 'GlobCurrent_example_data/*.nc'\n",
    "filenames = {'U': fname, 'V': fname}\n",
    "variables = {'U': 'eastward_eulerian_current_velocity', 'V': 'northward_eulerian_current_velocity'}\n",
    "dimensions = {'U': {'lat': 'lat', 'lon': 'lon', 'time': 'time'},\n",
    "              'V': {'lat': 'lat', 'lon': 'lon', 'time': 'time'}}\n",
    "fieldset = FieldSet.from_netcdf(filenames, variables, dimensions)\n",
    "\n",
    "\n",
    "# 2. Defining the particles type and initial conditions in a ParticleSet object\n",
    "\n",
    "pset = ParticleSet(fieldset=fieldset,   # the fields on which the particles are advected\n",
    "                   pclass=JITParticle,  # the type of particles (JITParticle or ScipyParticle)\n",
    "                   lon=28,              # release longitudes \n",
    "                   lat=-33)             # release latitudes\n",
    "\n",
    "\n",
    "# 3. Executing an advection kernel on the given fieldset\n",
    "\n",
    "output_file = pset.ParticleFile(name=\"GCParticles.nc\", outputdt=3600) # the file name and the time step of the outputs\n",
    "pset.execute(AdvectionRK4,                 # the kernel (which defines how particles move)\n",
    "             runtime=86400*6,              # the total length of the run\n",
    "             dt=300,                       # the timestep of the kernel\n",
    "             output_file=output_file)\n",
    "\n",
    "\n",
    "# 4. Exporting the simulation output to a netcdf file\n",
    "\n",
    "output_file.export()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you start making the parcels simulation more complex, it is a good idea to keep these different steps separate to keep a clear overview and find bugs more easily"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. FieldSet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parcels provides a framework to simulate the movement of particles **within an existing flowfield environment**. To start a parcels simulation we must define this environment with the [**`FieldSet`** class](https://oceanparcels.org/gh-pages/html/#module-parcels.fieldset). The minimal requirements for this Fieldset are that it must contain the `'U'` and `'V'` fields: the 2D hydrodynamic data that will move the particles. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The general method to use is [**`FieldSet.from_netcdf`**](https://oceanparcels.org/gh-pages/html/#parcels.fieldset.FieldSet.from_netcdf), which requires `filenames`, `variables` and `dimensions`. Each of these is a dictionary, and `variables` requires at least a `U` and `V`, but any other `variable` can be added too (e.g. vertical velocity, temperature, mixedlayerdepth, etc). Note also that `filenames` can contain wildcards. For example, the GlobCurrent data that can be downloaded using the `parcels_get_examples` script (see step 4 of the [installation guide](http://oceanparcels.org/#installing)) can be read with: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname = 'GlobCurrent_example_data/*.nc'\n",
    "filenames = {'U': fname, 'V': fname}\n",
    "variables = {'U': 'eastward_eulerian_current_velocity', 'V': 'northward_eulerian_current_velocity'}\n",
    "dimensions = {'U': {'lat': 'lat', 'lon': 'lon', 'time': 'time'}, # In the GlobCurrent data the dimensions are also called 'lon', 'lat' and 'time'\n",
    "              'V': {'lat': 'lat', 'lon': 'lon', 'time': 'time'}}\n",
    "fieldset = FieldSet.from_netcdf(filenames, variables, dimensions)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### For more advanced tutorials on creating `FieldSets`:\n",
    "\n",
    "* [Implement **periodic boundaries**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_periodic_boundaries.ipynb)\n",
    "* [How to **interpolate** field data for different fields](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_interpolation.ipynb)\n",
    "* [**Converting units** in the field data](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_unitconverters.ipynb)\n",
    "* [Working around incompatible **time coordinates**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_timestamps.ipynb)\n",
    "\n",
    "#### If you are working with field data on different grids:\n",
    "* [Grid **indexing** on different grids](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/documentation_indexing.ipynb)\n",
    "* [Load field data from **Curvilinear grids**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_nemo_curvilinear.ipynb)\n",
    "* [Load field data from **3D C-grids**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_nemo_3D.ipynb)\n",
    "\n",
    "#### If you want to combine different velocity fields:\n",
    "* [Add different velocity fields in a **SummedField**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_SummedFields.ipynb)\n",
    "* [Nest velocity fields of different regions or resolutions in a **NestedField**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_NestedFields.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. ParticleSet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once you have set up the environment with the FieldSet object, you can start defining your particles in a [**`ParticleSet`** object](https://oceanparcels.org/gh-pages/html/#module-parcels.particleset). This object requires:\n",
    "1. The [**`FieldSet`**](https://oceanparcels.org/gh-pages/html/#module-parcels.fieldset) on which the particles live.\n",
    "2. The type of [**`Particle`**](https://oceanparcels.org/gh-pages/html/#module-parcels.particle), which contains the information each particle will store.\n",
    "3. The initial conditions for each [**`Variable`**](https://oceanparcels.org/gh-pages/html/#parcels.particle.Variable) defined in the `Particle`, most notably the release locations in `lon` and `lat`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pset = ParticleSet(fieldset=fieldset,   # the fields on which the particles are advected\n",
    "                   pclass=JITParticle,  # the type of particles (JITParticle or ScipyParticle)\n",
    "                   lon=28,              # release longitude\n",
    "                   lat=-33)             # release latitude"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The different [**`Particle`**](https://oceanparcels.org/gh-pages/html/#module-parcels.particle) types available are the [**`JITParticle`**](https://oceanparcels.org/gh-pages/html/#parcels.particle.JITParticle) and the [**`ScipyParticle`**](https://oceanparcels.org/gh-pages/html/#parcels.particle.ScipyParticle), but it is very easy to create your own particle class which includes other [**`Variables`**](https://oceanparcels.org/gh-pages/html/#parcels.particle.Variable):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from parcels import Variable\n",
    "\n",
    "class PressureParticle(JITParticle):         # Define a new particle class\n",
    "    p = Variable('p', initial=0)             # Variable 'p' with initial value 0."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### For more advanced tutorials on how to setup your `ParticleSet`:\n",
    "* [**Releasing particles** at different times](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_delaystart.ipynb)\n",
    "* [The difference between **JITParticles and ScipyParticles**](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_jit_vs_scipy.ipynb)\n",
    "\n",
    "For more information on how to implement **`Particle` types** with specific behavior, see the [section on writing your own kernels](#For-more-advanced-tutorials-on-writing-custom-kernels-that-work-on-custom-particles:)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Kernel execution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After defining the flowfield environment with `FieldSet` and the particle information with `ParticleSet`, we can move on to actually running the parcels simulation by using [**`ParticleSet.execute()`**](https://oceanparcels.org/gh-pages/html/#parcels.particleset.ParticleSet.execute). Running a simulation in parcels actually means executing kernels, little snippets of code that are run for each particle at each timestep. The most basic kernels are advection kernels which calculate the movement of each particle based on the `FieldSet` in which the `ParticleSet` lives. A few different advection kernels are [included in Parcels](https://oceanparcels.org/gh-pages/html/#module-parcels.kernels.advection). \n",
    "\n",
    "If you want to store the particle data generated in the simulation, you usually first want to define the [**`ParticleFile`**](https://oceanparcels.org/gh-pages/html/#parcels.particlefile.ParticleFile) to which the output of the kernel execution will be written. Then, on the [`ParticleSet`](#ParticleSet) you have defined, you can use the method [**`ParticleSet.execute()`**](https://oceanparcels.org/gh-pages/html/#parcels.particleset.ParticleSet.execute) which requires the following arguments:\n",
    "1. The kernels to be executed.\n",
    "2. The `runtime` defining how long the execution loop runs. Alternatively, you may define the `endtime` at which the execution loop stops.\n",
    "3. The timestep `dt` at which to execute the kernels.\n",
    "4. (Optional) The `ParticleFile` object to write the output to."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Compiled JITParticleAdvectionRK4 ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\a23c56b16e735df652d3b3c4b045eabb_0.dll\n"
     ]
    }
   ],
   "source": [
    "output_file = pset.ParticleFile(name=\"GCParticles.nc\", outputdt=3600) # the file name and the time step of the outputs\n",
    "\n",
    "pset.execute(AdvectionRK4,                 # the kernel (which defines how particles move)\n",
    "             runtime=86400*6,              # the total length of the run in seconds\n",
    "             dt=300,                       # the timestep of the kernel\n",
    "             output_file=output_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One of the most powerful features of Parcels is the ability to write custom Kernels (see e.g. [this example](http://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_Argofloats.ipynb) to add the vertical movements of an Argo float). You probably want to define these kernels here; after defining your [`ParticleSet`](#ParticleSet) and before executing them. If your kernels become very large or complex, you might want to store them in another python file and import them into your simulation script."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Compiled JITParticleAdvectionRK4WestVel ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\2d3461f1f21e8976d23b053f3bf517e8_0.dll\n"
     ]
    }
   ],
   "source": [
    "def WestVel(particle, fieldset, time):\n",
    "    if time > 86400 and time < 2*86400:\n",
    "        uvel = -0.02\n",
    "        particle.lon += uvel * particle.dt\n",
    "        \n",
    "WV_kernel = pset.Kernel(WestVel)\n",
    "        \n",
    "output_file = pset.ParticleFile(name=\"GC_WestVel.nc\", outputdt=3600)\n",
    "\n",
    "pset.execute(AdvectionRK4 + WV_kernel,     # simply add kernels using the + operator\n",
    "             runtime=86400*6,              # the total length of the run in seconds\n",
    "             dt=300,                       # the timestep of the kernel\n",
    "             output_file=output_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=\"kernelrules\"></a>\n",
    "However, there are some key limitations to the Kernels that everyone who wants to write their own should be aware of:\n",
    "* Every Kernel must be a function with the following (and only those) arguments: `(particle, fieldset, time)`\n",
    "* In order to run successfully in JIT mode, Kernel definitions can only contain the following types of commands:\n",
    "    * Basic arithmetical operators (`+`, `-`, `*`, `/`, `**`) and assignments (`=`).\n",
    "    * Basic logical operators (`<`, `==`, `!=`, `>`, `&`, `|`). Note that you can use a statement like `particle.lon != particle.lon` to check if `particle.lon` is NaN (since `math.nan != math.nan`).\n",
    "    * `if` and `while` loops, as well as `break` statements. Note that `for`-loops are not supported in JIT mode.\n",
    "    * Interpolation of a `Field` from the `FieldSet` at a `[time, depth, lat, lon]` point, using square brackets notation.\n",
    "    For example, to interpolate the zonal velocity (U) field at the particle location, use the following statement:\n",
    "    `value = fieldset.U[time, particle.depth, particle.lat, particle.lon]`\n",
    "    * Functions from the `math` standard library and from the custom `ParcelsRandom` library at [`parcels.rng`](https://oceanparcels.org/gh-pages/html/#module-parcels.rng)\n",
    "    * Simple `print` statements, such as:\n",
    "        * `print(\"Some print\")`\n",
    "        * `print(particle.lon)`\n",
    "        * `print(\"particle id: %d\" % particle.id)`\n",
    "        * `print(\"lon: %f, lat: %f\" % (particle.lon, particle.lat))`\n",
    "    \n",
    "      Although note that these `print` statements are not shown in Jupyter notebooks in JIT mode, see [this long-standing Issue](https://github.com/OceanParcels/parcels/issues/369).\n",
    "    * Local variables can be used in Kernels, and these variables will be accessible in all concatenated Kernels. Note that these local variables are not shared between particles, and also not between time steps.\n",
    "    * Note that one has to be careful with writing kernels for vector fields on Curvilinear grids. While Parcels automatically rotates the U and V field when necessary, this is not the case for for example wind data. In that case, a custom rotation function will have to be written."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### For more advanced tutorials on writing custom kernels that work on custom particles:\n",
    "* [Sample other fields like temperature](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_sampling.ipynb).\n",
    "* [Mimic the behavior of ARGO floats](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_Argofloats.ipynb).\n",
    "* [Adding diffusion to approximate subgrid-scale processes and unresolved physics](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_diffusion.ipynb).\n",
    "* [Converting between units in m/s and degree/s](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_unitconverters.ipynb)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While executing the `ParticleSet`, parcels stores the data in **npy** files in an output folder. To take all the data and store them in a netcdf file, you can use [**`ParticleFile.export()`**](https://oceanparcels.org/gh-pages/html/#parcels.particlefile.ParticleFile.export) if you want to keep the folder with npy files; or [**`ParticleFile.close()`**](https://oceanparcels.org/gh-pages/html/#parcels.particlefile.ParticleFile.close) if you only want to keep the netcdf file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_file.export()\n",
    "output_file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After running your simulation, you probably want to analyse the output. Although there is some simple plotting functionality built into Parcels, we **recommend you write your own code** to analyse your specific output and you can probably separate the analysis from the simulation. \n",
    "#### For more tutorials on the parcels output:\n",
    "* [How the output is structured and how to start your own analysis](https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_output.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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