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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ApRES data quality control \n",
+    "Use this notebook to quality control data collected during the deployment of ApRES units. \n",
+    "\n",
+    "As described in the [checklist](https://docs.google.com/document/d/1szAn3jsHMNxfMRui8-35VI7EjeVs8Lp5sB5TTNECf4c/edit), a short series of unattended measurements should be made using attenuator and gain settings selected by performing trial bursts. This notebook can then be used to load and examine those data. This will inform any changes needed to the survey (e.g, changing gain or attenuator settings, or the number of sub-bursts), or confirm that the selected settings are, to our best estimate, the most appropriate to be used.  \n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If needed, a conda environment can be created using the provided environment.yml file. Type the following in the terminal:\n",
+    "\n",
+    "```\n",
+    "conda env create -f environment.yml\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load the XApRES package"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xapres as xa\n",
+    "import xarray as xr\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Point the code to the data\n",
+    "Change the path in the cell below to be path to the folder containing the dat files colleted during the short unattended survey. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "directory = \"../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932\"  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 24MB\n",
+       "Dimensions:          (time: 10, chirp_time: 40001, chirp_num: 2,\n",
+       "                      attenuator_setting_pair: 2, profile_range: 16644)\n",
+       "Coordinates:\n",
+       "  * time             (time) datetime64[ns] 80B 2024-05-31T19:32:55 ... 2024-0...\n",
+       "  * chirp_time       (chirp_time) float64 320kB 0.0 2.5e-05 5e-05 ... 1.0 1.0\n",
+       "  * profile_range    (profile_range) float64 133kB 0.0 0.2103 ... 3.5e+03\n",
+       "  * chirp_num        (chirp_num) int64 16B 0 1\n",
+       "    filename         (time) &lt;U85 3kB &#x27;../../data/apres-test-ldeo-may31-2024/d...\n",
+       "    burst_number     (time) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+       "    AFGain           (attenuator_setting_pair) int64 16B -14 -4\n",
+       "    attenuator       (attenuator_setting_pair) float64 16B 6.0 10.0\n",
+       "    orientation      (time) &lt;U7 280B &#x27;unknown&#x27; &#x27;unknown&#x27; ... &#x27;unknown&#x27; &#x27;unknown&#x27;\n",
+       "Dimensions without coordinates: attenuator_setting_pair\n",
+       "Data variables:\n",
+       "    chirp            (time, chirp_time, chirp_num, attenuator_setting_pair) float64 13MB ...\n",
+       "    profile          (time, profile_range, chirp_num, attenuator_setting_pair) complex128 11MB ...\n",
+       "    latitude         (time) float64 80B 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n",
+       "    longitude        (time) float64 80B 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n",
+       "    battery_voltage  (time) float64 80B 12.4 12.41 12.41 ... 12.42 12.42 12.42\n",
+       "    temperature_1    (time) float64 80B 32.43 31.84 34.78 ... 28.9 30.47 28.9\n",
+       "    temperature_2    (time) float64 80B 32.98 33.77 32.2 ... 33.18 34.36 33.57</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-bed7ea18-762d-4461-9940-51c6850efbaf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bed7ea18-762d-4461-9940-51c6850efbaf' 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>: 10</li><li><span class='xr-has-index'>chirp_time</span>: 40001</li><li><span class='xr-has-index'>chirp_num</span>: 2</li><li><span>attenuator_setting_pair</span>: 2</li><li><span class='xr-has-index'>profile_range</span>: 16644</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7bfe3ecb-3d7f-45f9-a796-295cbab9a5c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7bfe3ecb-3d7f-45f9-a796-295cbab9a5c9' class='xr-section-summary' >Coordinates: <span>(9)</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'>2024-05-31T19:32:55 ... 2024-05-...</div><input id='attrs-d791d29c-c63f-4f28-9850-104a2a65f490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d791d29c-c63f-4f28-9850-104a2a65f490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8f62f3e-a64e-4f95-92dc-4e199abed181' class='xr-var-data-in' type='checkbox'><label for='data-f8f62f3e-a64e-4f95-92dc-4e199abed181' 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>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-05-31T19:32:55.000000000&#x27;, &#x27;2024-05-31T19:33:17.000000000&#x27;,\n",
+       "       &#x27;2024-05-31T19:33:47.000000000&#x27;, &#x27;2024-05-31T19:34:17.000000000&#x27;,\n",
+       "       &#x27;2024-05-31T19:34:47.000000000&#x27;, &#x27;2024-05-31T19:35:17.000000000&#x27;,\n",
+       "       &#x27;2024-05-31T19:35:47.000000000&#x27;, &#x27;2024-05-31T19:36:17.000000000&#x27;,\n",
+       "       &#x27;2024-05-31T19:36:47.000000000&#x27;, &#x27;2024-05-31T19:37:17.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_time</span></div><div class='xr-var-dims'>(chirp_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 2.5e-05 5e-05 ... 1.0 1.0 1.0</div><input id='attrs-88a4ad33-370b-4b90-9f95-c4df75c350ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88a4ad33-370b-4b90-9f95-c4df75c350ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08c7d053-cb98-47a9-ac98-84dcac77efa9' class='xr-var-data-in' type='checkbox'><label for='data-08c7d053-cb98-47a9-ac98-84dcac77efa9' 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>long_name :</span></dt><dd>time of samples during chirps</dd><dt><span>name :</span></dt><dd>time of samples during chirps</dd><dt><span>units :</span></dt><dd>seconds</dd></dl></div><div class='xr-var-data'><pre>array([0.00000e+00, 2.50000e-05, 5.00000e-05, ..., 9.99950e-01, 9.99975e-01,\n",
+       "       1.00000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 3.5e+03 3.5e+03</div><input id='attrs-ee12a12c-d328-4ca0-8b8a-79651e509a24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee12a12c-d328-4ca0-8b8a-79651e509a24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22124602-acf7-415b-ae7a-58325d3dfb9a' class='xr-var-data-in' type='checkbox'><label for='data-22124602-acf7-415b-ae7a-58325d3dfb9a' 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>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 3.499429e+03,\n",
+       "       3.499639e+03, 3.499849e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chirp_num</span></div><div class='xr-var-dims'>(chirp_num)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-6228e884-5fb3-4c2d-8fd0-be6fac98f5b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6228e884-5fb3-4c2d-8fd0-be6fac98f5b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32da7baa-f593-45c2-8162-ca3b2b0d0a3a' class='xr-var-data-in' type='checkbox'><label for='data-32da7baa-f593-45c2-8162-ca3b2b0d0a3a' 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>long_name :</span></dt><dd>chirp number</dd><dt><span>description :</span></dt><dd>the number of each chirp within each burst</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U85</div><div class='xr-var-preview xr-preview'>&#x27;../../data/apres-test-ldeo-may3...</div><input id='attrs-04b5dd03-73f2-48e4-b1a9-2bf552d4990b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04b5dd03-73f2-48e4-b1a9-2bf552d4990b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d96c565-7629-446e-8e1f-efec654169da' class='xr-var-data-in' type='checkbox'><label for='data-8d96c565-7629-446e-8e1f-efec654169da' 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>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;,\n",
+       "       &#x27;../../data/apres-test-ldeo-may31-2024/data/DIR2024-05-31-1932/DATA2024-05-31-1932.DAT&#x27;],\n",
+       "      dtype=&#x27;&lt;U85&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-e452b2cf-e680-4575-9fe3-45dc7a6f18a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e452b2cf-e680-4575-9fe3-45dc7a6f18a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-408cdd6f-5e4e-4d2b-a748-fa648607aae5' class='xr-var-data-in' type='checkbox'><label for='data-408cdd6f-5e4e-4d2b-a748-fa648607aae5' 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>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AFGain</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-14 -4</div><input id='attrs-c021fe8d-3849-4bed-92e4-5c04d1948477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c021fe8d-3849-4bed-92e4-5c04d1948477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df2e31c2-2be2-4cef-aef6-6105f69ab535' class='xr-var-data-in' type='checkbox'><label for='data-df2e31c2-2be2-4cef-aef6-6105f69ab535' 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>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([-14,  -4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>(attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.0 10.0</div><input id='attrs-11b403de-e858-496d-b2ea-1a6e19fae183' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11b403de-e858-496d-b2ea-1a6e19fae183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc8f57f8-ef2e-4587-9780-9213ec826c98' class='xr-var-data-in' type='checkbox'><label for='data-dc8f57f8-ef2e-4587-9780-9213ec826c98' 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>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><pre>array([ 6., 10.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orientation</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;unknown&#x27; &#x27;unknown&#x27; ... &#x27;unknown&#x27;</div><input id='attrs-c43a92ac-cfe1-436c-946c-7fdcf1e2236d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c43a92ac-cfe1-436c-946c-7fdcf1e2236d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0155a3d-a3e2-4f15-94d4-3ad9b534a246' class='xr-var-data-in' type='checkbox'><label for='data-f0155a3d-a3e2-4f15-94d4-3ad9b534a246' 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>description :</span></dt><dd>HH, HV, VH, or VV antenna orientation as described in Ersahadi et al 2022 doi:10.5194/tc-16-1719-2022</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;unknown&#x27;, &#x27;unknown&#x27;, &#x27;unknown&#x27;, &#x27;unknown&#x27;, &#x27;unknown&#x27;, &#x27;unknown&#x27;,\n",
+       "       &#x27;unknown&#x27;, &#x27;unknown&#x27;, &#x27;unknown&#x27;, &#x27;unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccb3c3b2-7c36-42c4-8494-89930dc58e1d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccb3c3b2-7c36-42c4-8494-89930dc58e1d' class='xr-section-summary' >Data variables: <span>(7)</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>chirp</span></div><div class='xr-var-dims'>(time, chirp_time, chirp_num, attenuator_setting_pair)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.009003 -0.02831 ... -0.9404</div><input id='attrs-fa597568-b3a2-436d-b533-f6cb5bbf607e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa597568-b3a2-436d-b533-f6cb5bbf607e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30477d15-feef-416e-8fbe-2582831b3fb3' class='xr-var-data-in' type='checkbox'><label for='data-30477d15-feef-416e-8fbe-2582831b3fb3' 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>long_name :</span></dt><dd>de-ramped chirp</dd><dt><span>units :</span></dt><dd>volts</dd><dt><span>description :</span></dt><dd>voltage from the analog-to-digital converter after the received signal has been mixed with the transmitted signal and the result has been filtered to leave only the low frequency compponent corresponding to the differences in the frequencies of the Tx and Rx signals</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 0.00900269, -0.02830505],\n",
+       "         [ 0.00694275, -0.02151489]],\n",
+       "\n",
+       "        [[ 0.00816345, -0.03082275],\n",
+       "         [ 0.00160217, -0.0112915 ]],\n",
+       "\n",
+       "        [[-0.00923157, -0.06591797],\n",
+       "         [-0.02285004, -0.01728058]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.0440979 ,  0.08544922],\n",
+       "         [ 0.04550934,  0.07907867]],\n",
+       "\n",
+       "        [[ 0.02193451,  0.03452301],\n",
+       "         [ 0.02643585,  0.03166199]],\n",
+       "\n",
+       "        [[-0.29067993, -0.8928299 ],\n",
+       "         [-0.28697968, -0.89305878]]],\n",
+       "\n",
+       "...\n",
+       "\n",
+       "       [[[ 0.0169754 , -0.02117157],\n",
+       "         [ 0.02357483, -0.03040314]],\n",
+       "\n",
+       "        [[ 0.01594543, -0.0296402 ],\n",
+       "         [ 0.02254486, -0.03715515]],\n",
+       "\n",
+       "        [[ 0.01995087, -0.02872467],\n",
+       "         [ 0.02399445, -0.05958557]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[ 0.02441406,  0.04810333],\n",
+       "         [ 0.0088501 ,  0.01483917]],\n",
+       "\n",
+       "        [[ 0.00301361, -0.00434875],\n",
+       "         [-0.01338959, -0.03692627]],\n",
+       "\n",
+       "        [[-0.30277252, -0.91995239],\n",
+       "         [-0.31040192, -0.94039917]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile</span></div><div class='xr-var-dims'>(time, profile_range, chirp_num, attenuator_setting_pair)</div><div class='xr-var-dtype'>complex128</div><div class='xr-var-preview xr-preview'>(0.005739426521355129+0j) ... (6...</div><input id='attrs-5f371323-cd84-4709-9c71-25b3212a6b80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f371323-cd84-4709-9c71-25b3212a6b80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3baf6b2b-51f3-4f00-b75f-a60675124621' class='xr-var-data-in' type='checkbox'><label for='data-3baf6b2b-51f3-4f00-b75f-a60675124621' 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>long_name :</span></dt><dd>profile</dd><dt><span>units :</span></dt><dd>-</dd><dt><span>description :</span></dt><dd>complex profile computed from the fourier transform of the de-ramped chirp</dd></dl></div><div class='xr-var-data'><pre>array([[[[ 5.73942652e-03+0.00000000e+00j,\n",
+       "           5.51192107e-03+0.00000000e+00j],\n",
+       "         [ 5.72857126e-03+0.00000000e+00j,\n",
+       "           5.50268273e-03+0.00000000e+00j]],\n",
+       "\n",
+       "        [[ 1.15134572e-05+5.05923608e-03j,\n",
+       "           2.70353626e-05+4.86353366e-03j],\n",
+       "         [ 9.37814283e-06+5.04966764e-03j,\n",
+       "           2.59370933e-05+4.85489032e-03j]],\n",
+       "\n",
+       "        [[-3.42313796e-03+1.93464086e-05j,\n",
+       "          -3.29767112e-03+3.51168577e-05j],\n",
+       "         [-3.41509529e-03+1.44419271e-05j,\n",
+       "          -3.29070746e-03+3.38104882e-05j]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[-5.55103995e-06+3.11840879e-07j,\n",
+       "          -1.29945455e-05-3.56366778e-06j],\n",
+       "         [-4.12192376e-06-3.79660453e-06j,\n",
+       "...\n",
+       "          -3.23541792e-03+3.58257470e-05j],\n",
+       "         [-3.34420690e-03+1.07814207e-05j,\n",
+       "          -3.22855118e-03+3.55555945e-05j]],\n",
+       "\n",
+       "        ...,\n",
+       "\n",
+       "        [[-9.15589872e-06-2.79166130e-06j,\n",
+       "          -7.00976760e-06-7.70500299e-06j],\n",
+       "         [-3.05151749e-06-1.15579179e-06j,\n",
+       "          -1.94802900e-05-1.76309574e-05j]],\n",
+       "\n",
+       "        [[ 5.77271082e-06-7.72529811e-06j,\n",
+       "           5.58207084e-06-5.77739504e-06j],\n",
+       "         [-6.25010378e-07-3.28713440e-06j,\n",
+       "           2.49628186e-05-1.47413525e-05j]],\n",
+       "\n",
+       "        [[ 4.94221721e-06+6.69886155e-06j,\n",
+       "           6.41985563e-06+4.81192504e-06j],\n",
+       "         [ 4.54965926e-06-1.51889507e-06j,\n",
+       "           6.13294750e-06+2.60488134e-05j]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-49b091f4-cb7c-421c-af95-39ac325c5aad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49b091f4-cb7c-421c-af95-39ac325c5aad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a45af1b9-a195-4768-a91f-f3dccd60aa58' class='xr-var-data-in' type='checkbox'><label for='data-a45af1b9-a195-4768-a91f-f3dccd60aa58' 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>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>latitude of burst</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-5f230939-67bf-4219-b7dd-e94d8d399aed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f230939-67bf-4219-b7dd-e94d8d399aed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0d53c4e-3219-4787-9c1e-d60cc26356a8' class='xr-var-data-in' type='checkbox'><label for='data-f0d53c4e-3219-4787-9c1e-d60cc26356a8' 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>units :</span></dt><dd>degrees</dd><dt><span>long_name :</span></dt><dd>longitude of burst</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>battery_voltage</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>12.4 12.41 12.41 ... 12.42 12.42</div><input id='attrs-d74a119f-7814-481a-8712-7ece1677e973' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d74a119f-7814-481a-8712-7ece1677e973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-200eecbb-8a9c-4456-85b5-b1ba53e49d1b' class='xr-var-data-in' type='checkbox'><label for='data-200eecbb-8a9c-4456-85b5-b1ba53e49d1b' 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>units :</span></dt><dd>volts</dd><dt><span>long_name :</span></dt><dd>battery voltage</dd></dl></div><div class='xr-var-data'><pre>array([12.3992, 12.4072, 12.4113, 12.4153, 12.4153, 12.4113, 12.4153,\n",
+       "       12.4153, 12.4153, 12.4153])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.43 31.84 34.78 ... 30.47 28.9</div><input id='attrs-5607587f-82da-4bcf-8c25-96e88c7074e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5607587f-82da-4bcf-8c25-96e88c7074e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35f71330-2a75-4725-8c4f-207bcd6c329f' class='xr-var-data-in' type='checkbox'><label for='data-35f71330-2a75-4725-8c4f-207bcd6c329f' 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>units :</span></dt><dd>celsius</dd><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in one location</dd></dl></div><div class='xr-var-data'><pre>array([32.4297, 31.8437, 34.7813, 30.8594, 34.3906, 34.1953, 33.0156,\n",
+       "       28.8984, 30.4687, 28.8984])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.98 33.77 32.2 ... 34.36 33.57</div><input id='attrs-eccfa614-3a31-4d91-a23e-c36f8c86ce44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eccfa614-3a31-4d91-a23e-c36f8c86ce44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29f5a90d-379e-4fc8-a1c9-230409cecc6c' class='xr-var-data-in' type='checkbox'><label for='data-29f5a90d-379e-4fc8-a1c9-230409cecc6c' 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>units :</span></dt><dd>celsius</dd><dt><span>long_name :</span></dt><dd>temperature measured inside the ApRES unit in a second location</dd></dl></div><div class='xr-var-data'><pre>array([32.9844, 33.7656, 32.1953, 33.5703, 30.625 , 31.2187, 32.7891,\n",
+       "       33.1797, 34.3594, 33.5703])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bcbc282c-79ed-4840-9bc0-cbdfbf96d4bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-bcbc282c-79ed-4840-9bc0-cbdfbf96d4bc' class='xr-section-summary' >Indexes: <span>(4)</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-83f4b8f0-4f10-46b9-affe-f00e707e775b' class='xr-index-data-in' type='checkbox'/><label for='index-83f4b8f0-4f10-46b9-affe-f00e707e775b' 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;2024-05-31 19:32:55&#x27;, &#x27;2024-05-31 19:33:17&#x27;,\n",
+       "               &#x27;2024-05-31 19:33:47&#x27;, &#x27;2024-05-31 19:34:17&#x27;,\n",
+       "               &#x27;2024-05-31 19:34:47&#x27;, &#x27;2024-05-31 19:35:17&#x27;,\n",
+       "               &#x27;2024-05-31 19:35:47&#x27;, &#x27;2024-05-31 19:36:17&#x27;,\n",
+       "               &#x27;2024-05-31 19:36:47&#x27;, &#x27;2024-05-31 19:37:17&#x27;],\n",
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4dad6c1d-662d-4d68-a30c-aea5fd70e80e' class='xr-index-data-in' type='checkbox'/><label for='index-4dad6c1d-662d-4d68-a30c-aea5fd70e80e' 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,                2.5e-05,                  5e-05,\n",
+       "        7.500000000000001e-05,                 0.0001,               0.000125,\n",
+       "       0.00015000000000000001,               0.000175,                 0.0002,\n",
+       "       0.00022500000000000002,\n",
+       "       ...\n",
+       "           0.9997750000000001,                 0.9998,     0.9998250000000001,\n",
+       "                      0.99985,     0.9998750000000001,                 0.9999,\n",
+       "           0.9999250000000001,                0.99995,     0.9999750000000001,\n",
+       "                          1.0],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;chirp_time&#x27;, length=40001))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-84bbeb15-ef84-40ae-824a-918f6272e56f' class='xr-index-data-in' type='checkbox'/><label for='index-84bbeb15-ef84-40ae-824a-918f6272e56f' 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, 0.2102895577845166, 0.4205791155690332,\n",
+       "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
+       "       1.2617373467070996, 1.4720269044916163, 1.6823164622761329,\n",
+       "       1.8926060200606494,\n",
+       "       ...\n",
+       "       3497.9565041876494, 3498.1667937454336,  3498.377083303218,\n",
+       "       3498.5873728610027, 3498.7976624187872,  3499.007951976572,\n",
+       "       3499.2182415343564,  3499.428531092141, 3499.6388206499255,\n",
+       "         3499.84911020771],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=16644))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>chirp_num</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-39efab69-49e6-41ae-8bba-b584e1feaf95' class='xr-index-data-in' type='checkbox'/><label for='index-39efab69-49e6-41ae-8bba-b584e1feaf95' 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, 1], dtype=&#x27;int64&#x27;, name=&#x27;chirp_num&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2a4e928-b75e-4a1e-a216-e8e4ef9742e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2a4e928-b75e-4a1e-a216-e8e4ef9742e3' 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> Size: 24MB\n",
+       "Dimensions:          (time: 10, chirp_time: 40001, chirp_num: 2,\n",
+       "                      attenuator_setting_pair: 2, profile_range: 16644)\n",
+       "Coordinates:\n",
+       "  * time             (time) datetime64[ns] 80B 2024-05-31T19:32:55 ... 2024-0...\n",
+       "  * chirp_time       (chirp_time) float64 320kB 0.0 2.5e-05 5e-05 ... 1.0 1.0\n",
+       "  * profile_range    (profile_range) float64 133kB 0.0 0.2103 ... 3.5e+03\n",
+       "  * chirp_num        (chirp_num) int64 16B 0 1\n",
+       "    filename         (time) <U85 3kB '../../data/apres-test-ldeo-may31-2024/d...\n",
+       "    burst_number     (time) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
+       "    AFGain           (attenuator_setting_pair) int64 16B -14 -4\n",
+       "    attenuator       (attenuator_setting_pair) float64 16B 6.0 10.0\n",
+       "    orientation      (time) <U7 280B 'unknown' 'unknown' ... 'unknown' 'unknown'\n",
+       "Dimensions without coordinates: attenuator_setting_pair\n",
+       "Data variables:\n",
+       "    chirp            (time, chirp_time, chirp_num, attenuator_setting_pair) float64 13MB ...\n",
+       "    profile          (time, profile_range, chirp_num, attenuator_setting_pair) complex128 11MB ...\n",
+       "    latitude         (time) float64 80B 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n",
+       "    longitude        (time) float64 80B 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0\n",
+       "    battery_voltage  (time) float64 80B 12.4 12.41 12.41 ... 12.42 12.42 12.42\n",
+       "    temperature_1    (time) float64 80B 32.43 31.84 34.78 ... 28.9 30.47 28.9\n",
+       "    temperature_2    (time) float64 80B 32.98 33.77 32.2 ... 33.18 34.36 33.57"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "unattended_data = xa.load.generate_xarray(directory=directory)\n",
+    "unattended_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Simple checks\n",
+    "\n",
+    "### Check that time of the first and last measurements match your notes from the field"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " time of first measurement: 2024-05-31T19:32:55.000000000\n",
+      " time of last measurement: 2024-05-31T19:37:17.000000000\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\" time of first measurement: {unattended_data.time.isel(time=0).values}\")\n",
+    "print(f\" time of last measurement: {unattended_data.time.isel(time=-1).values}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Check the interval between measurements\n",
+    "this should be equal to the value of RepSecs (assuming IntervalMode=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[22 30 30 30 30 30 30 30 30]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print((unattended_data.time.values[1:] - unattended_data.time.values[:-1])/1e9) # the /1e9 is because the time is in nanoseconds"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Check the battery voltage didnt change dramatically"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[12.3992 12.4072 12.4113 12.4153 12.4153 12.4113 12.4153 12.4153 12.4153\n",
+      " 12.4153]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(unattended_data.battery_voltage.values)\n",
+    "# unattended_data.battery_voltage.plot()  # or you can plot it by uncommenting this line"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Check the actual data\n",
+    "### plot a single chirp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x16a0f4ce0>]"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "unattended_data.isel(time=0, attenuator_setting_pair =0, chirp_num = 0).chirp.plot()  # plot the first chirp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The example data here looks little strange because this was just testing at Lamont and the antennas were not constructed fully. Your chirps should look like the right-hind 75% of the the plot above everywheer (i.e. the left-most 25% is not what it should look like)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Look for clipping\n",
+    "By plotting all the chirp samples for all the burst for a given attenuator setting pair"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for a in unattended_data.attenuator_setting_pair.values:\n",
+    "    unattended_data.chirp.isel(attenuator_setting_pair = a).plot()  # plot all chirps\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Plot a profile \n",
+    "To see if you data has a reasonable noise floor and you can see the bed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x28a2e3d40>]"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "unattended_data.isel(time=0, attenuator_setting_pair =0, chirp_num = 0).profile.dB().plot(xlim = (0, 1500))  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note that the example data here is not collected over ice, so you cant see the data here. \n",
+    "Below is a plot of a profile taken over greenland that will probably resemble your sata from Flask more closely. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "greenland_data = xa.load.load_zarr()\n",
+    "greenland_data.isel(time=2000, attenuator_setting_pair =0).profile_stacked.dB().plot(xlim = (0, 1500))\n",
+    "plt.savefig('greenland_profile_1.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The cell above will not run if you dont have an internet connection, so it is saved as greenland_profile_1.png in this folder."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There is a good chance that you will see the bed in a similar way to the plot above in the Flask data. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Additional ideas for plotting\n",
+    "Below this are additional ideas for plotting the data and looking at the effect of stacking to perhaps estimate whether we need more sub-bursts per measurement. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "greenland_data.isel(time=2000, attenuator_setting_pair =0).profile.dB().plot(x='profile_range', xlim = (0, 1500), hue = 'chirp_num', figsize = (15, 5));\n",
+    "greenland_data.isel(time=2000, attenuator_setting_pair = 0).profile_stacked.dB().plot();\n",
+    "plt.savefig('greenland_unstacked_and_stacked.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If you cannot see this plot becuase it hasnt been saved with the notebook or you dont have an internet connection to run the code it is saved as greenland_unstacked_and_stacked.png\n",
+    "\n",
+    "Create an xarray with many stacked profiles, each one using a different number of profiles in the stacking"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "greenland_data.isel(time=2000, attenuator_setting_pair =0).load()\n",
+    "da_list=[]\n",
+    "for n in greenland_data.chirp_num.values:\n",
+    "    da_list.append(greenland_data.isel(time=2000, attenuator_setting_pair =0, chirp_num = slice(0,n)).profile.mean(dim='chirp_num').dB())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [
+    {
+     "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",
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+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       " */\n",
+       "\n",
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+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
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+       "  --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",
+       "html[data-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",
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+       "  --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.DataArray &#x27;profile&#x27; (average_over_n_chirps: 20, profile_range: 6658)&gt; Size: 1MB\n",
+       "dask.array&lt;concatenate, shape=(20, 6658), dtype=float64, chunksize=(1, 6658), chunktype=numpy.ndarray&gt;\n",
+       "Coordinates:\n",
+       "    AFGain                 int64 8B dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
+       "    attenuator             float64 8B dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
+       "    burst_number           int64 8B dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
+       "    filename               &lt;U83 332B dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
+       "  * profile_range          (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03\n",
+       "    time                   datetime64[ns] 8B 2022-06-16T08:06:44\n",
+       "  * average_over_n_chirps  (average_over_n_chirps) int64 160B 0 1 2 ... 17 18 19</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'profile'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>average_over_n_chirps</span>: 20</li><li><span class='xr-has-index'>profile_range</span>: 6658</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cbd4732c-f861-4e76-8fd7-e4d105ca8e98' class='xr-array-in' type='checkbox' checked><label for='section-cbd4732c-f861-4e76-8fd7-e4d105ca8e98' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 6658), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 1.02 MiB </td>\n",
+       "                        <td> 52.02 kiB </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> (20, 6658) </td>\n",
+       "                        <td> (1, 6658) </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 20 chunks in 143 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
+       "\n",
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+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-20f6823c-b170-4d53-813c-369c5e7a4bd1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20f6823c-b170-4d53-813c-369c5e7a4bd1' class='xr-section-summary' >Coordinates: <span>(7)</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>AFGain</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-a3042723-d4b2-466c-9478-14fb030b5741' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3042723-d4b2-466c-9478-14fb030b5741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ad0a825-901c-420d-b749-41866facbc4d' class='xr-var-data-in' type='checkbox'><label for='data-9ad0a825-901c-420d-b749-41866facbc4d' 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>long_name :</span></dt><dd>audio-frequency gain control setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 8 B </td>\n",
+       "                        <td> 8 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>attenuator</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-1d9b4711-75f0-4def-be4e-17ecd07e5912' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d9b4711-75f0-4def-be4e-17ecd07e5912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-535d47d8-28f8-47d9-8f55-82ab100372e7' class='xr-var-data-in' type='checkbox'><label for='data-535d47d8-28f8-47d9-8f55-82ab100372e7' 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>long_name :</span></dt><dd>radio-frequency attenuator setting</dd><dt><span>units :</span></dt><dd>decibels</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 8 B </td>\n",
+       "                        <td> 8 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>burst_number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-3bfbfedb-7108-4200-9945-2750450c3406' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bfbfedb-7108-4200-9945-2750450c3406' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9e43542-0a1e-4306-8b8b-c41b0b27772c' class='xr-var-data-in' type='checkbox'><label for='data-f9e43542-0a1e-4306-8b8b-c41b0b27772c' 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>description :</span></dt><dd>the number of each burst within each file</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 8 B </td>\n",
+       "                        <td> 8 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>filename</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U83</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-db27d75e-53d2-4373-9ba5-6307d414d988' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db27d75e-53d2-4373-9ba5-6307d414d988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90a83fc3-8148-4a1e-9362-86d4e9ef226d' class='xr-var-data-in' type='checkbox'><label for='data-90a83fc3-8148-4a1e-9362-86d4e9ef226d' 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>description :</span></dt><dd>the name of the file that contains each burst</dd></dl></div><div class='xr-var-data'><table>\n",
+       "    <tr>\n",
+       "        <td>\n",
+       "            <table style=\"border-collapse: collapse;\">\n",
+       "                <thead>\n",
+       "                    <tr>\n",
+       "                        <td> </td>\n",
+       "                        <th> Array </th>\n",
+       "                        <th> Chunk </th>\n",
+       "                    </tr>\n",
+       "                </thead>\n",
+       "                <tbody>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Bytes </th>\n",
+       "                        <td> 332 B </td>\n",
+       "                        <td> 332 B </td>\n",
+       "                    </tr>\n",
+       "                    \n",
+       "                    <tr>\n",
+       "                        <th> Shape </th>\n",
+       "                        <td> () </td>\n",
+       "                        <td> () </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Dask graph </th>\n",
+       "                        <td colspan=\"2\"> 1 chunks in 3 graph layers </td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th> Data type </th>\n",
+       "                        <td colspan=\"2\"> <U83 numpy.ndarray </td>\n",
+       "                    </tr>\n",
+       "                </tbody>\n",
+       "            </table>\n",
+       "        </td>\n",
+       "        <td>\n",
+       "        \n",
+       "        </td>\n",
+       "    </tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>profile_range</span></div><div class='xr-var-dims'>(profile_range)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.2103 ... 1.4e+03 1.4e+03</div><input id='attrs-6478853c-0c3a-425b-b89d-672c37b24a84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6478853c-0c3a-425b-b89d-672c37b24a84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f309f0d-845d-4753-bf44-ac639cdb20c1' class='xr-var-data-in' type='checkbox'><label for='data-9f309f0d-845d-4753-bf44-ac639cdb20c1' 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>long_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>array([0.000000e+00, 2.102896e-01, 4.205791e-01, ..., 1.399477e+03,\n",
+       "       1.399687e+03, 1.399898e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-06-16T08:06:44</div><input id='attrs-26d386cd-a903-4f9e-977e-fefa7bc4f20f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26d386cd-a903-4f9e-977e-fefa7bc4f20f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33414182-65d2-43a1-8e31-57e69e4ece1a' class='xr-var-data-in' type='checkbox'><label for='data-33414182-65d2-43a1-8e31-57e69e4ece1a' 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>long_name :</span></dt><dd>time of burst</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2022-06-16T08:06:44.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>average_over_n_chirps</span></div><div class='xr-var-dims'>(average_over_n_chirps)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 14 15 16 17 18 19</div><input id='attrs-f17b6916-17dd-4323-91ee-910a98ef6d7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f17b6916-17dd-4323-91ee-910a98ef6d7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02e356c5-0fa4-4cc8-8378-d69b8276c3e7' class='xr-var-data-in' type='checkbox'><label for='data-02e356c5-0fa4-4cc8-8378-d69b8276c3e7' 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'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39c12e8f-5907-4dd6-88bc-3216d20410ec' class='xr-section-summary-in' type='checkbox'  ><label for='section-39c12e8f-5907-4dd6-88bc-3216d20410ec' class='xr-section-summary' >Indexes: <span>(2)</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>profile_range</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-865051e8-2148-4e4d-8993-42d1646ff1d7' class='xr-index-data-in' type='checkbox'/><label for='index-865051e8-2148-4e4d-8993-42d1646ff1d7' 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, 0.2102895577845166, 0.4205791155690332,\n",
+       "       0.6308686733535498, 0.8411582311380664,  1.051447788922583,\n",
+       "       1.2617373467070996, 1.4720269044916163, 1.6823164622761329,\n",
+       "       1.8926060200606494,\n",
+       "       ...\n",
+       "       1398.0049801514665, 1398.2152697092508, 1398.4255592670354,\n",
+       "         1398.63584882482, 1398.8461383826045,  1399.056427940389,\n",
+       "       1399.2667174981734,  1399.477007055958, 1399.6872966137425,\n",
+       "        1399.897586171527],\n",
+       "      dtype=&#x27;float64&#x27;, name=&#x27;profile_range&#x27;, length=6658))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>average_over_n_chirps</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ba684b3a-0b98-4275-a173-523757d8c0ec' class='xr-index-data-in' type='checkbox'/><label for='index-ba684b3a-0b98-4275-a173-523757d8c0ec' 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, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=&#x27;int64&#x27;, name=&#x27;average_over_n_chirps&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7698afa5-618d-4dbd-a01e-e799aff9a0fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7698afa5-618d-4dbd-a01e-e799aff9a0fd' 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.DataArray 'profile' (average_over_n_chirps: 20, profile_range: 6658)> Size: 1MB\n",
+       "dask.array<concatenate, shape=(20, 6658), dtype=float64, chunksize=(1, 6658), chunktype=numpy.ndarray>\n",
+       "Coordinates:\n",
+       "    AFGain                 int64 8B dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    attenuator             float64 8B dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    burst_number           int64 8B dask.array<chunksize=(), meta=np.ndarray>\n",
+       "    filename               <U83 332B dask.array<chunksize=(), meta=np.ndarray>\n",
+       "  * profile_range          (profile_range) float64 53kB 0.0 0.2103 ... 1.4e+03\n",
+       "    time                   datetime64[ns] 8B 2022-06-16T08:06:44\n",
+       "  * average_over_n_chirps  (average_over_n_chirps) int64 160B 0 1 2 ... 17 18 19"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "average_over_n_chirps = xr.DataArray(np.arange(0, 20), dims='average_over_n_chirps', name='average_over_n_chirps')\n",
+    "da = xr.concat(da_list, dim = average_over_n_chirps).rename('profile')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Take a look at the effect of stacking on the noise floor by plotting out three profiels from the xarray we created above. The first profile is just one single profile, the second is created from 9 profiles and the third is created from 19 profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "da.isel(average_over_n_chirps =[1, 9, 19]).plot(xlim = (0, 1500), hue = 'average_over_n_chirps', figsize = (15, 5));\n",
+    "plt.savefig('greenland_average_over_n_chirps.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This plot is saved as greenland_average_over_n_chirps.png"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "full_py_env",
+   "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": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/code/apres/greenland_average_over_n_chirps.png b/code/apres/greenland_average_over_n_chirps.png
new file mode 100644
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diff --git a/code/apres/greenland_plot.png b/code/apres/greenland_plot.png
new file mode 100644
index 0000000..fe20dfd
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diff --git a/code/apres/greenland_profile_1.png b/code/apres/greenland_profile_1.png
new file mode 100644
index 0000000..fe20dfd
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diff --git a/code/apres/greenland_unstacked_and_stacked.png b/code/apres/greenland_unstacked_and_stacked.png
new file mode 100644
index 0000000..3045e3c
Binary files /dev/null and b/code/apres/greenland_unstacked_and_stacked.png differ
diff --git a/data/apres-test-ldeo-may31-2024/loading_with_xapres.ipynb b/data/apres-test-ldeo-may31-2024/loading_with_xapres.ipynb
index 8836d05..a554bab 100644
--- a/data/apres-test-ldeo-may31-2024/loading_with_xapres.ipynb
+++ b/data/apres-test-ldeo-may31-2024/loading_with_xapres.ipynb
@@ -700,7 +700,7 @@
     }
    ],
    "source": [
-    "(test_205.time.values[1:] - test_205.time.values[:-1])/1e9 # the /1e9 is becuase the time is in nanoseconds"
+    "(test_205.time.values[1:] - test_205.time.values[:-1])/1e9 # the /1e9 is because the time is in nanoseconds"
    ]
   },
   {
@@ -764,7 +764,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "But more importantly, yo ucan plot the chirps and the profiles:"
+    "But more importantly, you can plot the chirps and the profiles:"
    ]
   },
   {
@@ -2765,11 +2765,11 @@
     "## Proposed procedure for correcting for timing drift\n",
     "Unit 206 does not appear to connect to the GPS. The purpose of the GPS is to provide accurate timing information. The ApRES unit has an internal clock that is used to time the chirps. The internal clock is not as accurate as the GPS clock, so the ApRES unit uses the GPS clock to correct the internal clock. The internal clock drifts over time. According to Keith Nichols, this drift could be around 20 minutes a year. Keith also said that the drift is linear in time, i.e. the rate at which the internal ApRES clock drifts away from true time is constant. \n",
     "\n",
-    "Twenty minutes per year is large enough that we would want to correct for it, given that we are going to be making measurements every 30-60 minutes. Given that it is linear the following precedure should work for corrrecting for the drift:\n",
-    "- during installation, manually chnage the time on the ApRES unit to UTC time in the housekeeping screen when in attended mode. This could be done in the morning of the day of installation. It doesnt need to be done at the exact moment of installtion. \n",
+    "Twenty minutes per year is large enough that we would want to correct for it, given that we are going to be making measurements every 30-60 minutes. Given that it is linear the following procedure should work for corrrecting for the drift:\n",
+    "- during installation, manually change the time on the ApRES unit to UTC time in the housekeeping screen when in attended mode. This could be done in the morning of the day of installation. It doesnt need to be done at the exact moment of installation. \n",
     "- UTC time can probably be obtained from a hand-held GPS unit\n",
-    "- when the ApRES unit is revisited either at the end of the season, or the following season, the time on the APRES unit should be recorded and sompared to UTC time. The important thing to record wold be the difference in the time displayed on the ApRES housekeeping screen and the handhled GPS, $\\delta \\tau$.\n",
-    "- If the time between setting the time on the ApRES unit and the time of the revisit if $T$, then the drift rate is $\\delta \\tau / T$.\n",
+    "- when the ApRES unit is revisited either at the end of the season, or the following season, the time on the ApRES unit should be recorded and compared to UTC time. The important thing to record will be the difference in the time displayed on the ApRES housekeeping screen and the handhled GPS, $\\delta \\tau$.\n",
+    "- if the time between setting the time on the ApRES unit and the time of the revisit is $T$, then the drift rate is $\\delta \\tau / T$.\n",
     "- the time of each burst $t$ can be corrected as follows: $t_{\\text{corrected}} = t + \\delta \\tau / T \\times t$.  "
    ]
   },
@@ -2778,7 +2778,7 @@
    "metadata": {},
    "source": [
     "## Summary\n",
-    "The three ApRES units we are sending south in June 2024 are working. One (206) cannot connect to the GPS, but we have a work around for that. It is possible to complicate the loading of the data by accidently turning off the unit before it is done writing the last burst to disk. This a) isnt a big deal because the one would only lose the last burst, and b) can easily be avoided by checking that the red light on the side of the unit is off and has been for at least ten seconds or so before turning it off. The python package xapres could be a useful way of loading inspecting data in the field. This would involve installing a python environment on the field laptops and making sure everyone knows how to use the package. Maybe matlab is easier, but we can discuss this.  "
+    "The three ApRES units we are sending south in June 2024 are working. One (206) cannot connect to the GPS, but we have a work around for that. It is possible to complicate the loading of the data by accidently turning off the unit before it is done writing the last burst to disk. This a) isnt a big deal because we  would only lose the last burst, and b) can easily be avoided by checking that the red light on the side of the unit is off and has been for at least ten seconds or so before turning off the unit. The python package xapres could be a useful way of loading and inspecting data in the field. This would involve installing a python environment on the field laptops and making sure everyone knows how to use the package. Maybe matlab is easier, but we can discuss this.  "
    ]
   },
   {
@@ -2786,10 +2786,10 @@
    "metadata": {},
    "source": [
     "### note on python environment\n",
-    "If we do want to create a python environment on the field laptops, we could use the following conda command int he terminal to create an environment with the necessary packages:\n",
+    "If we do want to create a python environment on the field laptops, we could use the following conda command in the terminal to create an environment with the necessary packages:\n",
     "\n",
     "```\n",
-    "conda create --name envname --file ../../environment.yml\n",
+    "conda env create -f environment.yml\n",
     "```"
    ]
   },
diff --git a/environment.yml b/environment.yml
index 9a3987d..1bdff6e 100644
--- a/environment.yml
+++ b/environment.yml
@@ -1,4 +1,4 @@
-name: py-env-1
+name: apres_testing_env
 channels:
   - conda-forge
 dependencies: