test_freq_spreading.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9660f61c-aee2-4344-951d-0d693eec9e76",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# test frequency spreading\n",
    "import os\n",
    "import pickle\n",
    "from datetime import datetime, timezone\n",
    "from scipy import stats\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.colors\n",
    "import numpy as np\n",
    "\n",
    "import xarray as xr\n",
    "import xroms\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from wavespectra import read_ww3, read_swan, read_ndbc, read_netcdf\n",
    "\n",
    "%run -i wave_stats.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "4e968aa0-1bfe-4c7d-a6bb-f804df362191",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://dods.ndbc.noaa.gov/thredds/dodsC/data/swden/42099/42099w9999.nc\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 121, freq: 64, lat: 1, lon: 1, dir: 36)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2022-09-26 2022-09-26T01:00:00 ... 2022-10-01\n",
       "  * freq     (freq) float32 0.025 0.03 0.035 0.04 0.045 ... 0.55 0.56 0.57 0.58\n",
       "  * lat      (lat) float32 27.34\n",
       "  * lon      (lon) float32 -84.28\n",
       "  * dir      (dir) float64 0.0 10.0 20.0 30.0 40.0 ... 320.0 330.0 340.0 350.0\n",
       "Data variables:\n",
       "    efth     (time, lat, lon, freq, dir) float64 0.0 0.0 ... 0.0002201 0.0002314</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5fb28593-4c14-42c0-ba5a-065727e35f70' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5fb28593-4c14-42c0-ba5a-065727e35f70' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 121</li><li><span class='xr-has-index'>freq</span>: 64</li><li><span class='xr-has-index'>lat</span>: 1</li><li><span class='xr-has-index'>lon</span>: 1</li><li><span class='xr-has-index'>dir</span>: 36</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cef7d451-532e-4159-9b45-3c363a8ecc05' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cef7d451-532e-4159-9b45-3c363a8ecc05' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-09-26 ... 2022-10-01</div><input id='attrs-f0450206-7b3a-47b4-8206-a56e73094a59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0450206-7b3a-47b4-8206-a56e73094a59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d081a3f0-365d-4330-9093-404dc91b69f1' class='xr-var-data-in' type='checkbox'><label for='data-d081a3f0-365d-4330-9093-404dc91b69f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-09-26T00:00:00.000000000&#x27;, &#x27;2022-09-26T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T02:00:00.000000000&#x27;, &#x27;2022-09-26T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T04:00:00.000000000&#x27;, &#x27;2022-09-26T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T06:00:00.000000000&#x27;, &#x27;2022-09-26T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T08:00:00.000000000&#x27;, &#x27;2022-09-26T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T10:00:00.000000000&#x27;, &#x27;2022-09-26T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T12:00:00.000000000&#x27;, &#x27;2022-09-26T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T14:00:00.000000000&#x27;, &#x27;2022-09-26T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T16:00:00.000000000&#x27;, &#x27;2022-09-26T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T18:00:00.000000000&#x27;, &#x27;2022-09-26T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T20:00:00.000000000&#x27;, &#x27;2022-09-26T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-26T22:00:00.000000000&#x27;, &#x27;2022-09-26T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T00:00:00.000000000&#x27;, &#x27;2022-09-27T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T02:00:00.000000000&#x27;, &#x27;2022-09-27T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T04:00:00.000000000&#x27;, &#x27;2022-09-27T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T06:00:00.000000000&#x27;, &#x27;2022-09-27T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T08:00:00.000000000&#x27;, &#x27;2022-09-27T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T10:00:00.000000000&#x27;, &#x27;2022-09-27T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T12:00:00.000000000&#x27;, &#x27;2022-09-27T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T14:00:00.000000000&#x27;, &#x27;2022-09-27T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T16:00:00.000000000&#x27;, &#x27;2022-09-27T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T18:00:00.000000000&#x27;, &#x27;2022-09-27T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T20:00:00.000000000&#x27;, &#x27;2022-09-27T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-27T22:00:00.000000000&#x27;, &#x27;2022-09-27T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T00:00:00.000000000&#x27;, &#x27;2022-09-28T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T02:00:00.000000000&#x27;, &#x27;2022-09-28T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T04:00:00.000000000&#x27;, &#x27;2022-09-28T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T06:00:00.000000000&#x27;, &#x27;2022-09-28T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T08:00:00.000000000&#x27;, &#x27;2022-09-28T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T10:00:00.000000000&#x27;, &#x27;2022-09-28T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T12:00:00.000000000&#x27;, &#x27;2022-09-28T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T14:00:00.000000000&#x27;, &#x27;2022-09-28T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T16:00:00.000000000&#x27;, &#x27;2022-09-28T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T18:00:00.000000000&#x27;, &#x27;2022-09-28T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T20:00:00.000000000&#x27;, &#x27;2022-09-28T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-28T22:00:00.000000000&#x27;, &#x27;2022-09-28T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T00:00:00.000000000&#x27;, &#x27;2022-09-29T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T02:00:00.000000000&#x27;, &#x27;2022-09-29T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T04:00:00.000000000&#x27;, &#x27;2022-09-29T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T06:00:00.000000000&#x27;, &#x27;2022-09-29T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T08:00:00.000000000&#x27;, &#x27;2022-09-29T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T10:00:00.000000000&#x27;, &#x27;2022-09-29T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T12:00:00.000000000&#x27;, &#x27;2022-09-29T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T14:00:00.000000000&#x27;, &#x27;2022-09-29T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T16:00:00.000000000&#x27;, &#x27;2022-09-29T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T18:00:00.000000000&#x27;, &#x27;2022-09-29T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T20:00:00.000000000&#x27;, &#x27;2022-09-29T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-29T22:00:00.000000000&#x27;, &#x27;2022-09-29T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T00:00:00.000000000&#x27;, &#x27;2022-09-30T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T02:00:00.000000000&#x27;, &#x27;2022-09-30T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T04:00:00.000000000&#x27;, &#x27;2022-09-30T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T06:00:00.000000000&#x27;, &#x27;2022-09-30T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T08:00:00.000000000&#x27;, &#x27;2022-09-30T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T10:00:00.000000000&#x27;, &#x27;2022-09-30T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T12:00:00.000000000&#x27;, &#x27;2022-09-30T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T14:00:00.000000000&#x27;, &#x27;2022-09-30T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T16:00:00.000000000&#x27;, &#x27;2022-09-30T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T18:00:00.000000000&#x27;, &#x27;2022-09-30T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T20:00:00.000000000&#x27;, &#x27;2022-09-30T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-09-30T22:00:00.000000000&#x27;, &#x27;2022-09-30T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-10-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>freq</span></div><div class='xr-var-dims'>(freq)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.025 0.03 0.035 ... 0.56 0.57 0.58</div><input id='attrs-3f21f149-d2b5-4801-9e7f-aeeb781f72ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f21f149-d2b5-4801-9e7f-aeeb781f72ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a94376fb-73e1-439c-9629-94b5cec3a0e5' class='xr-var-data-in' type='checkbox'><label for='data-a94376fb-73e1-439c-9629-94b5cec3a0e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_wave_frequency</dd><dt><span>units :</span></dt><dd>Hz</dd></dl></div><div class='xr-var-data'><pre>array([0.025, 0.03 , 0.035, 0.04 , 0.045, 0.05 , 0.055, 0.06 , 0.065, 0.07 ,\n",
       "       0.075, 0.08 , 0.085, 0.09 , 0.095, 0.101, 0.11 , 0.12 , 0.13 , 0.14 ,\n",
       "       0.15 , 0.16 , 0.17 , 0.18 , 0.19 , 0.2  , 0.21 , 0.22 , 0.23 , 0.24 ,\n",
       "       0.25 , 0.26 , 0.27 , 0.28 , 0.29 , 0.3  , 0.31 , 0.32 , 0.33 , 0.34 ,\n",
       "       0.35 , 0.36 , 0.37 , 0.38 , 0.39 , 0.4  , 0.41 , 0.42 , 0.43 , 0.44 ,\n",
       "       0.45 , 0.46 , 0.47 , 0.48 , 0.49 , 0.5  , 0.51 , 0.52 , 0.53 , 0.54 ,\n",
       "       0.55 , 0.56 , 0.57 , 0.58 ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>27.34</div><input id='attrs-85c47bcd-1a7d-47df-b376-f56858b7ca4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c47bcd-1a7d-47df-b376-f56858b7ca4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89b5e17b-ba6f-428b-9032-05c7521dd09e' class='xr-var-data-in' type='checkbox'><label for='data-89b5e17b-ba6f-428b-9032-05c7521dd09e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([27.345], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-84.28</div><input id='attrs-91b64fd1-4e1f-49b4-93a3-f2fa6e9c3537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91b64fd1-4e1f-49b4-93a3-f2fa6e9c3537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-532fe211-ec77-41b0-a08b-cb0c119bd720' class='xr-var-data-in' type='checkbox'><label for='data-532fe211-ec77-41b0-a08b-cb0c119bd720' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-84.275], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>dir</span></div><div class='xr-var-dims'>(dir)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 10.0 20.0 ... 330.0 340.0 350.0</div><input id='attrs-485bd4f0-aed1-4cff-8883-0b131b540633' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-485bd4f0-aed1-4cff-8883-0b131b540633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc26ece-9473-48d5-827f-464bafa39e8a' class='xr-var-data-in' type='checkbox'><label for='data-9fc26ece-9473-48d5-827f-464bafa39e8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_wave_from_direction</dd><dt><span>units :</span></dt><dd>degree</dd></dl></div><div class='xr-var-data'><pre>array([  0.,  10.,  20.,  30.,  40.,  50.,  60.,  70.,  80.,  90., 100., 110.,\n",
       "       120., 130., 140., 150., 160., 170., 180., 190., 200., 210., 220., 230.,\n",
       "       240., 250., 260., 270., 280., 290., 300., 310., 320., 330., 340., 350.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d60075c-5f58-452e-b868-4f0781ee22b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d60075c-5f58-452e-b868-4f0781ee22b2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>efth</span></div><div class='xr-var-dims'>(time, lat, lon, freq, dir)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0002201 0.0002314</div><input id='attrs-c2d26174-baaf-4c28-abc7-b587ddbc5553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2d26174-baaf-4c28-abc7-b587ddbc5553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f857722b-169b-4454-8e04-2f9bbe233163' class='xr-var-data-in' type='checkbox'><label for='data-f857722b-169b-4454-8e04-2f9bbe233163' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_surface_wave_directional_variance_spectral_density</dd><dt><span>units :</span></dt><dd>m2 s degree-1</dd></dl></div><div class='xr-var-data'><pre>array([[[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [ 5.41369130e-05,  6.67287652e-05,  7.76641568e-05, ...,\n",
       "            1.68782931e-05,  2.82169193e-05,  4.09485037e-05],\n",
       "          [ 8.21563573e-05,  1.00676057e-04,  1.15344976e-04, ...,\n",
       "            2.13886556e-05,  4.06666660e-05,  6.15264622e-05],\n",
       "          [ 8.02088415e-05,  9.68546891e-05,  1.10006481e-04, ...,\n",
       "            2.50182017e-05,  4.26666681e-05,  6.15955370e-05]]]],\n",
       "\n",
       "\n",
       "\n",
       "       [[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "            0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
       "...\n",
       "          [ 6.53445140e-05,  6.47611149e-05,  6.31460946e-05, ...,\n",
       "            6.15650275e-05,  6.36648925e-05,  6.49534925e-05],\n",
       "          [ 1.00709711e-04,  8.81981882e-05,  7.51140552e-05, ...,\n",
       "            1.26102487e-04,  1.20471127e-04,  1.11756382e-04]]]],\n",
       "\n",
       "\n",
       "\n",
       "       [[[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "           -0.00000000e+00, -0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "           -0.00000000e+00, -0.00000000e+00,  0.00000000e+00],\n",
       "          [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00, ...,\n",
       "           -0.00000000e+00, -0.00000000e+00,  0.00000000e+00],\n",
       "          ...,\n",
       "          [ 1.90440421e-04,  1.83008281e-04,  1.67985688e-04, ...,\n",
       "            1.64179225e-04,  1.80576613e-04,  1.89604385e-04],\n",
       "          [ 2.07988992e-04,  1.97369069e-04,  1.79565916e-04, ...,\n",
       "            1.91036006e-04,  2.04677430e-04,  2.10498571e-04],\n",
       "          [ 2.32489585e-04,  2.23141735e-04,  2.04259354e-04, ...,\n",
       "            1.99477722e-04,  2.20084135e-04,  2.31437860e-04]]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c059f362-9f0e-4d75-bfd1-c0aa5e092a86' class='xr-section-summary-in' type='checkbox'  ><label for='section-c059f362-9f0e-4d75-bfd1-c0aa5e092a86' class='xr-section-summary' >Indexes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2a149afa-fcb2-43c1-8b58-9c6a08e55166' class='xr-index-data-in' type='checkbox'/><label for='index-2a149afa-fcb2-43c1-8b58-9c6a08e55166' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-09-26 00:00:00&#x27;, &#x27;2022-09-26 01:00:00&#x27;,\n",
       "               &#x27;2022-09-26 02:00:00&#x27;, &#x27;2022-09-26 03:00:00&#x27;,\n",
       "               &#x27;2022-09-26 04:00:00&#x27;, &#x27;2022-09-26 05:00:00&#x27;,\n",
       "               &#x27;2022-09-26 06:00:00&#x27;, &#x27;2022-09-26 07:00:00&#x27;,\n",
       "               &#x27;2022-09-26 08:00:00&#x27;, &#x27;2022-09-26 09:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-09-30 15:00:00&#x27;, &#x27;2022-09-30 16:00:00&#x27;,\n",
       "               &#x27;2022-09-30 17:00:00&#x27;, &#x27;2022-09-30 18:00:00&#x27;,\n",
       "               &#x27;2022-09-30 19:00:00&#x27;, &#x27;2022-09-30 20:00:00&#x27;,\n",
       "               &#x27;2022-09-30 21:00:00&#x27;, &#x27;2022-09-30 22:00:00&#x27;,\n",
       "               &#x27;2022-09-30 23:00:00&#x27;, &#x27;2022-10-01 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=121, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>freq</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4772ab3f-e448-465f-b2e2-0717e0bf633a' class='xr-index-data-in' type='checkbox'/><label for='index-4772ab3f-e448-465f-b2e2-0717e0bf633a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.02500000037252903, 0.029999999329447746,  0.03500000014901161,\n",
       "        0.03999999910593033,  0.04500000178813934,  0.05000000074505806,\n",
       "       0.054999999701976776,  0.05999999865889549,  0.06499999761581421,\n",
       "        0.07000000029802322,  0.07500000298023224,  0.07999999821186066,\n",
       "        0.08500000089406967,  0.09000000357627869,   0.0949999988079071,\n",
       "        0.10100000351667404,  0.10999999940395355,  0.11999999731779099,\n",
       "        0.12999999523162842,  0.14000000059604645,  0.15000000596046448,\n",
       "         0.1599999964237213,  0.17000000178813934,  0.18000000715255737,\n",
       "         0.1899999976158142,  0.20000000298023224,  0.20999999344348907,\n",
       "         0.2199999988079071,  0.23000000417232513,  0.23999999463558197,\n",
       "                       0.25,  0.25999999046325684,  0.27000001072883606,\n",
       "         0.2800000011920929,  0.28999999165534973,  0.30000001192092896,\n",
       "         0.3100000023841858,   0.3199999928474426,  0.33000001311302185,\n",
       "         0.3400000035762787,   0.3499999940395355,  0.36000001430511475,\n",
       "         0.3700000047683716,   0.3799999952316284,  0.38999998569488525,\n",
       "         0.4000000059604645,   0.4099999964237213,  0.41999998688697815,\n",
       "         0.4300000071525574,   0.4399999976158142,  0.44999998807907104,\n",
       "        0.46000000834465027,   0.4699999988079071,  0.47999998927116394,\n",
       "        0.49000000953674316,                  0.5,   0.5099999904632568,\n",
       "         0.5199999809265137,   0.5299999713897705,   0.5400000214576721,\n",
       "          0.550000011920929,   0.5600000023841858,   0.5699999928474426,\n",
       "         0.5799999833106995],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;freq&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1007b3f2-fb2d-4335-afe5-1e0d783b3381' class='xr-index-data-in' type='checkbox'/><label for='index-1007b3f2-fb2d-4335-afe5-1e0d783b3381' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([27.345], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-55859f37-7b6a-418c-92d2-692c1e829475' class='xr-index-data-in' type='checkbox'/><label for='index-55859f37-7b6a-418c-92d2-692c1e829475' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-84.275], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>dir</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1799ee60-4914-42f0-ae85-6dbfab480468' class='xr-index-data-in' type='checkbox'/><label for='index-1799ee60-4914-42f0-ae85-6dbfab480468' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,  10.0,  20.0,  30.0,  40.0,  50.0,  60.0,  70.0,  80.0,  90.0,\n",
       "       100.0, 110.0, 120.0, 130.0, 140.0, 150.0, 160.0, 170.0, 180.0, 190.0,\n",
       "       200.0, 210.0, 220.0, 230.0, 240.0, 250.0, 260.0, 270.0, 280.0, 290.0,\n",
       "       300.0, 310.0, 320.0, 330.0, 340.0, 350.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;dir&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b9c31c2-a8db-4b0a-98c2-4350bfd701c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b9c31c2-a8db-4b0a-98c2-4350bfd701c8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 121, freq: 64, lat: 1, lon: 1, dir: 36)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2022-09-26 2022-09-26T01:00:00 ... 2022-10-01\n",
       "  * freq     (freq) float32 0.025 0.03 0.035 0.04 0.045 ... 0.55 0.56 0.57 0.58\n",
       "  * lat      (lat) float32 27.34\n",
       "  * lon      (lon) float32 -84.28\n",
       "  * dir      (dir) float64 0.0 10.0 20.0 30.0 40.0 ... 320.0 330.0 340.0 350.0\n",
       "Data variables:\n",
       "    efth     (time, lat, lon, freq, dir) float64 0.0 0.0 ... 0.0002201 0.0002314"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stime = datetime.strptime('2022-09-26', '%Y-%m-%d')\n",
    "etime = datetime.strptime('2022-10-01', '%Y-%m-%d')\n",
    "buoys = \"42097\",\"42099\",\"42098\"\n",
    "buoy = buoys[1]\n",
    "url ='https://dods.ndbc.noaa.gov/thredds/dodsC/data/swden/' + str(buoy) + '/' + str(buoy) + 'w9999' + '.nc'\n",
    "print(url)\n",
    "# use wavespectra routine for reading & generating 2dspec\n",
    "dso = read_ndbc(url, dd=10.0, chunks={}).sel(time=slice(stime, etime)).load()\n",
    "dso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "37e0e8eb-fa30-4686-8b8d-7ab0c7f60bef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stats = dso.isel(lat=0, lon=0).spec.stats([\"hs\", \"hmax\", \"tp\", \"tm01\", \"tm02\", \"dpm\", \"dm\", \"dspr\", \"swe\"])\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(8, 6))\n",
    "stats.hs.plot.line(ax=ax1, x=\"time\");\n",
    "stats.tp.plot.line(ax=ax2, x=\"time\");\n",
    "stats.dpm.plot.line(ax=ax3, x=\"time\");\n",
    "stats.dspr.plot.line(ax=ax4, x=\"time\");\n",
    "plt.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "479647c0-10ae-4581-b241-3fb97617f065",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hs:  1.952512258076253\n",
      "Tp:  6.7439466\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2aacafb621c0>]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('hs: ', dso.isel(lat=0, lon=0, time=100).spec.hs().values )\n",
    "print('Tp: ', dso.isel(lat=0, lon=0, time=100).spec.tp().values )\n",
    "spec1d = np.nansum( dso.isel(lat=0, lon=0, time=55)['efth'].values, 1 )\n",
    "plt.plot(f,spec1d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "43cc8cf0-8c17-478c-9f03-5002b6d95b93",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def calc_sigmaf_Qp_1d( spec1d, f, fmin=0.056, fmax=0.28 ):\n",
    "    # frequency spread () LeMerle et al., 2021 eqns. 3 and 4, based on Blackman & Tukey (1959)\n",
    "    s1d = np.nan_to_num( spec1d ) \n",
    "    idx = np.squeeze( np.argwhere( (f >= fmin) & (f <= fmax) ) )\n",
    "    sigma_f = (np.trapz( s1d[idx], x=f[idx] )**2 /  np.trapz( s1d[idx]**2, x=f[idx] ) )\n",
    "    Qp = (np.trapz( f[idx] * s1d[idx]**2, x=f[idx]) /  np.trapz( s1d[idx], x=f[idx] )**2 )\n",
    "    return sigma_f, Qp\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "174e6e18-8ded-4f80-8711-0288e9fdf066",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nt = len(dso['time'].values)\n",
    "t = dso['time'].values\n",
    "sf = np.ones(nt)*np.nan\n",
    "qp = np.ones(nt)*np.nan\n",
    "for i in np.arange( len(dso['time'].values) ):\n",
    "    spec1d = np.nansum( dso.isel(lat=0, lon=0, time=i)['efth'].values, 1 )\n",
    "    sf[i], qp[i] = calc_sigmaf_Qp_1d( spec1d, f )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "78441036-1fcf-4da4-ae1f-8a6fbcec5737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2aac66d06fa0>]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t,sf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "74fd784a-fe13-4ddc-b461-757af00aee9e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2aac66ce5550>]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t,qp)"
   ]
  }
 ],
 "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": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}