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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "070f5263",
+   "metadata": {
+    "scrolled": false
+   },
+   "source": [
+    "## Tide Prediction Module Functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "proper-patch",
+   "metadata": {},
+   "source": [
+    " - <b>retrieve_constituents</b> - retrieves harmonic constituents from NOAA gauge station\n",
+    " - <code><b>fetch_noaa_tide_data()</b></code> - retrieves datetimes, water levels and tide predictions at given NOAA tide station from NOAA's API\n",
+    " \n",
+    " - <b>datetimes</b> - prepares a collection of datetimes from beginning to end dates if needed\n",
+    " \n",
+    " - <code><b>predict_tide()</b></code> - predicts tide for desired NOAA station given station ID, start date and end date for prediction \n",
+    " - <b>datum_value</b> - retrieves datum value for desired datum reference, utilized by <b>predict_tide</b> to obtain <b>MTL</b> value\n",
+    " - <code><b>detide()</b></code> - detides observed water levels with predicted tide\n",
+    " - <code><b>surge()</b></code> - predicts surge at NOAA gauge station provided station ID, start date, end date, and landfall date, best for a Clawpack Simulation!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "noticed-delhi",
+   "metadata": {},
+   "source": [
+    "# Example of Tide Prediction For One Date Instance\n",
+    "\n",
+    "- In this example, method used to predict tide is adapated from Pytides\n",
+    "- This implementation will only work for known NOAA gauge stations\n",
+    "- Harmonic Constituents data is scraped from NOAA. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f1656e3a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import datetime\n",
+    "import clawpack.geoclaw.tide as tide\n",
+    "\n",
+    "#%env CLAW="
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1cd0bf32",
+   "metadata": {},
+   "source": [
+    "### ****  Station Information ****"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "33307057",
+   "metadata": {},
+   "source": [
+    "Locate NOAA station ID.  NOAA gauge stations home: https://tidesandcurrents.noaa.gov/ <br>\n",
+    "Fill in station ID, reference datum and date instance for tide prediction!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c76d8a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Station Information\n",
+    "station_id = '8761724'\n",
+    "datum = 'MTL'\n",
+    "\n",
+    "#Date of prediction (YEAR, MTH, DAY, HR)\n",
+    "prediction_date = datetime.datetime(2005, 8, 29, 11)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "444bf7f2",
+   "metadata": {},
+   "source": [
+    "### Tide Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67132515",
+   "metadata": {},
+   "source": [
+    "Prediction of tide at specified location (station ID) and specified time (GMT) implemented below by calling <code><b>predict_tide()</b></code> method with the following arguments: <b> station_id, beg_prediction_date, end_prediction_date</b>. Note: datum argument is optional\n",
+    "\n",
+    "<br> \n",
+    "\n",
+    "To predict tide at an instant, set <b>beg_prediction_date</b> and <b>end_prediction_date</b> in <code><b>predict_tide()</b></code> method to the same date!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fa3eebea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#NOAA Data Scraping Implementation      \n",
+    "height = tide.predict_tide(station_id, prediction_date, prediction_date, datum='MTL')\n",
+    "times = tide.datetimes(prediction_date, prediction_date) # in meters\n",
+    "print(height[0], \"meters\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e775a8ff",
+   "metadata": {},
+   "source": [
+    "*******************************************************************************************************************"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d4be333b",
+   "metadata": {},
+   "source": [
+    "# Example of Tide Prediction In A Date Interval "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f64a6167",
+   "metadata": {},
+   "source": [
+    "###   Station Information "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b2b2c5c8",
+   "metadata": {},
+   "source": [
+    "Fill in station ID, a beginning date and an end date for tide prediction below"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6af4f3b1",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "#Station Information\n",
+    "station_id = '8761724'\n",
+    "datum = 'MTL'\n",
+    "\n",
+    "#Beginning and End Dates \n",
+    "beg_date = datetime.datetime(2005, 8, 26, hour=0)\n",
+    "end_date = datetime.datetime(2005, 8, 31, hour=0)\n",
+    "\n",
+    "#Predict tide with arguments set as: (station_id, beg_prediction_date, end_prediction_date)\n",
+    "predicted_tide = tide.predict_tide(station_id, beg_date, end_date, datum='MTL')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fdc6fa2",
+   "metadata": {},
+   "source": [
+    "### Tide Predictions\n",
+    "Plot results in a time series plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b07d1fa6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Method datetimes() makes a range of datetimes given arguments: (beg_prediction_date, end_prediction_date)\n",
+    "times = tide.datetimes(beg_date, end_date)\n",
+    "\n",
+    "plt.figure(figsize=(20,10))\n",
+    "plt.plot(times, predicted_tide, \"-\", label=\"Tide Prediction\")\n",
+    "plt.xlabel('Hours since ' + str(beg_date) + ' (GMT)')\n",
+    "plt.ylabel('Meters'), plt.margins(x=0), plt.legend(loc = 'best')\n",
+    "plt.title('My Prediction for Station {}'.format(station_id))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e68cdb9",
+   "metadata": {},
+   "source": [
+    "*******************************************************************************************************************"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d65a5a1",
+   "metadata": {},
+   "source": [
+    "# Example Comparing NOAA vs Our Tide Prediction In A Date Interval "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb42cecd",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "#Station Information\n",
+    "station_id = '8761724'\n",
+    "datum = 'MTL'\n",
+    "\n",
+    "#Beginning and End Dates \n",
+    "beg_date = datetime.datetime(2005, 8, 26)\n",
+    "end_date = datetime.datetime(2005, 8, 31)\n",
+    "\n",
+    "#Predict Tide \n",
+    "predicted_tide = tide.predict_tide(station_id, beg_date, end_date, datum='MTL')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0bcba7b5",
+   "metadata": {},
+   "source": [
+    "- Calling function <code><b>fetch_noaa_tide_data()</b></code> with arguments set as <b>(station_id, beg_prediction_date, end_prediction_date)</b> retrieves datetimes, water levels and tide predictions for the specified NOAA station in the date interval provided from NOAA's API\n",
+    "- Data is scraped in <b>Metric</b> units, <b>GMT</b> timezone, <b>MTL</b> datum and  <b>6 min</b> intervals. These arguments are optional in <code><b>fetch_noaa_tide_data()</b></code>."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "558239c0",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "#Retrieve NOAA Tide Data\n",
+    "times, NOAA_observed_water_lvl, NOAA_predicted_tide = tide.fetch_noaa_tide_data(station_id, beg_date, end_date, datum='MTL')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c91f7d0d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Plot Comparisons\n",
+    "plt.figure(figsize=(20,10))\n",
+    "plt.plot(times, predicted_tide, \"-\", label=\"Our Tide Prediction\")\n",
+    "plt.plot(times, NOAA_predicted_tide, \"-\", label=\"NOAA Tide Prediction\")\n",
+    "plt.plot(times, NOAA_observed_water_lvl, \"-\", label=\"NOAA Water Level Observation\")\n",
+    "plt.xlabel('Hours since ' + str(beg_date) + ' (GMT)')\n",
+    "plt.ylabel('Metres'), plt.margins(x=0), plt.legend(loc = 'best')\n",
+    "plt.title('Comparison of Our Prediction vs NOAA prediction for Station {}'.format(station_id))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "edabf72c",
+   "metadata": {},
+   "source": [
+    "*******************************************************************************************************************"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "25f9fca1",
+   "metadata": {},
+   "source": [
+    "# Example Detiding and Capturing A Surge for a Gauge Station "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff60fcac",
+   "metadata": {},
+   "source": [
+    "- Calling <code><b>predict_tide()</b></code> method with arguments set as: <b>(station_id, beg_prediction_date, end_prediction_date)</b> outputs predicted tide\n",
+    "- Calling <code><b>fetch_noaa_tide_data()</b></code> with arguments set as <b>(station_id, beg_prediction_date, end_prediction_date)</b> retrieves datetimes, water levels and tide predictions from NOAA\n",
+    "- Calling <code><b>detide()</b></code> method with arguments set as: <b>(NOAA observed water level, predicted tide)</b> will output detided water level. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2e12ce1c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Station Information\n",
+    "station_id = '8761724'\n",
+    "datum = 'MTL'\n",
+    "\n",
+    "#Beginning and End Dates \n",
+    "beg_date = datetime.datetime(2005, 8, 26)\n",
+    "end_date = datetime.datetime(2005, 8, 31)\n",
+    "\n",
+    "predicted_tide = tide.predict_tide(station_id, beg_date, end_date)\n",
+    "times, NOAA_observed_water_lvl, NOAA_predicted_tide = tide.fetch_noaa_tide_data(station_id, beg_date, end_date, datum='MTL')\n",
+    "\n",
+    "surge = tide.detide(NOAA_observed_water_lvl, predicted_tide)\n",
+    "\n",
+    "#Plot Comparisons\n",
+    "plt.figure(figsize=(20,10))\n",
+    "plt.plot(times, surge, \"-\", label=\"Our Surge Prediction\")\n",
+    "plt.xlabel('Hours since ' + str(beg_date) + ' (GMT)')\n",
+    "plt.ylabel('Metres'), plt.margins(x=0), plt.legend(loc = 'best')\n",
+    "plt.title('Detided Water Level for Station {}'.format(station_id))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5361dc29",
+   "metadata": {},
+   "source": [
+    "*******************************************************************************************************************"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "48fd6775",
+   "metadata": {},
+   "source": [
+    "# Example for Clawpack Storm Surge Implementation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44b5db31",
+   "metadata": {},
+   "source": [
+    "- Code below works best if placed in <b>gauge_afteraxes( )</b> in <b>setplot.py</b> for a storm simulation.\n",
+    "- Calling <code><b>surge()</b></code> method with arguments set as: <b>(station_id, beginning_date, end_date, landfall_date)</b> will output storm surge from NOAA observed water levels and predicted tide."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15e31fba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import clawpack.geoclaw.tide as tide\n",
+    "import datetime"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1483072e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Station Information\n",
+    "station_id = '8761724'\n",
+    "\n",
+    "#Beginning, End, Landfall Dates\n",
+    "beg_date = datetime.datetime(2005, 8, 26)\n",
+    "end_date = datetime.datetime(2005, 8, 31)\n",
+    "landfall_date = datetime.datetime(2005, 8, 29, 11, 10)\n",
+    "\n",
+    "# Surge Prediction\n",
+    "times, surge = tide.surge(station_id, beg_date, end_date, landfall_date)\n",
+    "plt.plot(times, surge, color=\"b\", label=\"Our Prediction\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d364a6c2",
+   "metadata": {},
+   "source": [
+    "*******************************************************************************************************************"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5b0d89f",
+   "metadata": {},
+   "source": [
+    "# Example Iterating Through A Library Of Stations And Date Intervals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b3cdcd65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import clawpack.geoclaw.tide as tide\n",
+    "import datetime"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d26bd732",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "station_dict = {'8761724': ('Grand Isle, LA', (2005, 8, 26), (2005, 8, 31), (2005, 8, 29, 11, 10)), #katrina\n",
+    "                '8760922': ('Pilots Station East, SW Pass, LA', (2005, 8, 26), (2005, 8, 31), (2005, 8, 29, 11)), #michael\n",
+    "                '8658120': ('Wilmington, NC', (2016, 10, 6, 12), (2016, 10, 9, 12), (2016, 10, 8, 12)), #matthew\n",
+    "                '8721604': ('Trident Pier, Port Canaveral, FL', (2019, 8, 24), (2019, 9, 9), (2019, 9, 4, 12)), #dorian\n",
+    "                '8723970': ('Vaca Key, Florida Bay, FL', (2017, 9, 6, 13), (2017, 9, 12, 13), (2017, 9, 10, 13)) #irma\n",
+    "               }\n",
+    "\n",
+    "for (key, value) in station_dict.items():\n",
+    "    station_id = key\n",
+    "    station_name = value[0]\n",
+    "    beg_date = datetime.datetime(*value[1])\n",
+    "    end_date = datetime.datetime(*value[2])\n",
+    "    landfall_date = datetime.datetime(*value[3])\n",
+    "    \n",
+    "    #NOAA Data Scraping Implementation\n",
+    "    predicted_tide = tide.predict_tide(station_id, beg_date, end_date) \n",
+    "    \n",
+    "    times, NOAA_observed_water_lvl, NOAA_predicted_tide = tide.fetch_noaa_tide_data(station_id, beg_date, end_date, datum='MTL')\n",
+    "\n",
+    "    #Detide Water Level\n",
+    "    surge = tide.detide(NOAA_observed_water_lvl, predicted_tide)\n",
+    "    NOAA_surge = tide.detide(NOAA_observed_water_lvl, NOAA_predicted_tide)\n",
+    "    \n",
+    "    #Plot Comparisons\n",
+    "    plt.figure(figsize=(20,10))\n",
+    "    plt.plot(times, predicted_tide, \"-\", label=\"Our Tide Prediction\")\n",
+    "    plt.plot(times, NOAA_predicted_tide, \"-\", label=\"NOAA Tide Prediction\")\n",
+    "    plt.plot(times, NOAA_observed_water_lvl, \"-\", label=\"NOAA Water Level Observation\")\n",
+    "    plt.xlabel('Hours since ' + str(beg_date) + ' (GMT)')\n",
+    "    plt.ylabel('Metres'), plt.margins(x=0), plt.legend(loc = 'best')\n",
+    "    plt.title('Comparison of Our Prediction vs NOAA prediction for Station {}, {}'.format(station_id, station_name))\n",
+    "    plt.show()\n",
+    "    \n",
+    "    #Detided Water Level Comparison\n",
+    "    plt.figure(figsize=(20,10))\n",
+    "    plt.plot(times, surge, \"-\", label=\"Our Detided Prediction\")\n",
+    "    plt.plot(times, NOAA_surge, \"-\", label=\"NOAA's Detided Prediction\")\n",
+    "    plt.xlabel('Hours since ' + str(beg_date) + ' (GMT)')\n",
+    "    plt.ylabel('Metres'), plt.margins(x=0), plt.legend(loc = 'best')\n",
+    "    plt.title('Detided Water Level Comparison of Our Prediction vs NOAA prediction for Station {}, {}'.format(station_id, station_name))\n",
+    "    plt.show()\n",
+    "    \n",
+    "    \n",
+    "    #### Clawpack Implementation (in setplot.py) ####\n",
+    "    times, surge = tide.surge(station_id, beg_date, end_date, landfall_date)\n",
+    "    plt.plot(times, surge, color=\"b\", label=\"Our Surge Prediction\")\n",
+    "    \n",
+    "    "
+   ]
+  }
+ ],
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+  "kernelspec": {
+   "display_name": "Python 3",
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+   "codemirror_mode": {
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