GSOD_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook for analyzing the GSOD data (taking the station KLAX for example)\n",
    "\n",
    "Author: Wenwen Kong\n",
    "\n",
    "Updated: 2022-07-17\n",
    "\n",
    "### Purpose of the notebook\n",
    "- Demonstrate two approaches of obtaining seasonal cycle (emperical long-term average versus FFT)\n",
    "\n",
    "### Credits:\n",
    "- Followed Isla's code ([function](https://github.com/islasimpson/CASanalysis/blob/main/CASutils/filter_utils.py), [example](https://github.com/islasimpson/CASanalysis/blob/main/examples/outputera5deseas.ipynb)) to obtain seasonal cycle using the FFT\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load useful libraries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.fft import fft, ifft\n",
    "import xarray as xr\n",
    "import sys\n",
    "import pandas as pd\n",
    "import glob\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Read in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEARMODA</th>\n",
       "      <th>NAME</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY</th>\n",
       "      <th>TEMP</th>\n",
       "      <th>MAX</th>\n",
       "      <th>MIN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14.8</td>\n",
       "      <td>19.4</td>\n",
       "      <td>11.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1973-01-02</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>12.6</td>\n",
       "      <td>17.8</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1973-01-03</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>11.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1973-01-04</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>10.8</td>\n",
       "      <td>13.9</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1973-01-05</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17880</th>\n",
       "      <td>2021-12-27</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>10.2</td>\n",
       "      <td>14.4</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17881</th>\n",
       "      <td>2021-12-28</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>11.3</td>\n",
       "      <td>12.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17882</th>\n",
       "      <td>2021-12-29</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17883</th>\n",
       "      <td>2021-12-30</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>11.7</td>\n",
       "      <td>13.3</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17884</th>\n",
       "      <td>2021-12-31</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>12.7</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17885 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         YEARMODA                               NAME  LATITUDE  LONGITUDE  \\\n",
       "0      1973-01-01  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "1      1973-01-02  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "2      1973-01-03  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "3      1973-01-04  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "4      1973-01-05  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "...           ...                                ...       ...        ...   \n",
       "17880  2021-12-27  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17881  2021-12-28  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17882  2021-12-29  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17883  2021-12-30  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17884  2021-12-31  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "\n",
       "       YEAR  MONTH  DAY  TEMP   MAX   MIN  \n",
       "0      1973      1    1  14.8  19.4  11.1  \n",
       "1      1973      1    2  12.6  17.8   7.2  \n",
       "2      1973      1    3  11.8  15.0   8.9  \n",
       "3      1973      1    4  10.8  13.9   7.2  \n",
       "4      1973      1    5   8.0  15.0   2.8  \n",
       "...     ...    ...  ...   ...   ...   ...  \n",
       "17880  2021     12   27  10.2  14.4   6.7  \n",
       "17881  2021     12   28  11.3  12.8   6.7  \n",
       "17882  2021     12   29  10.0  12.8   7.2  \n",
       "17883  2021     12   30  11.7  13.3   7.2  \n",
       "17884  2021     12   31  12.7  15.0   8.3  \n",
       "\n",
       "[17885 rows x 10 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site    = 'KLAX'\n",
    "years   = list(range(1973, 2022))\n",
    "yrStart = years[0]\n",
    "yrEnd   = years[-1]\n",
    "file    = 'GSOD_'+site+'_'+str(yrStart)+'-'+str(yrEnd)+'_cleaned.csv'\n",
    "\n",
    "col_list= ['YEARMODA', 'YEAR', 'MONTH', 'DAY','NAME', 'LATITUDE', 'LONGITUDE', 'TEMP', 'MAX', 'MIN']\n",
    "\n",
    "df         = pd.read_csv(file, usecols = col_list)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Empericial climatology, and the anomalies "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# **********************************************************************************************\n",
    "#     TEMP_clim, TEMP_anom\n",
    "# **********************************************************************************************\n",
    "df['TEMP_emperical_clim'] = df.groupby(['MONTH', 'DAY'])['TEMP'].transform('mean')\n",
    "df['TEMP_emperical_anom'] = df['TEMP'] - df['TEMP_emperical_clim']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### FFT method "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- Read in the calculated emperical climatology\n",
    "# ---- And convert to data array\n",
    "\n",
    "df_array = np.array(df['TEMP_emperical_clim'])\n",
    "df_clim  = df_array[0:365]\n",
    "\n",
    "ntime    = 365\n",
    "nharms   = 4\n",
    "\n",
    "temp_fft = fft(df_clim, axis = 0)\n",
    "temp_fft2= np.zeros_like(temp_fft)\n",
    "temp_fft2[0:nharms] = temp_fft[0:nharms]\n",
    "temp_fft2[ntime-nharms+1:ntime+1] = temp_fft[ntime-nharms+1:ntime+1]\n",
    "\n",
    "df_array_filtered = np.real(ifft(temp_fft2, axis=0))\n",
    "df_seasonal_cycle = xr.DataArray(df_array_filtered)\n",
    "\n",
    "\n",
    "# ---- To add a new column in df that contains the df_seasonal_cycle, repeated nyears times\n",
    "repeats      = int(len(df['TEMP']) / 365)\n",
    "repeats_list = []\n",
    "\n",
    "for i in range(0,repeats):\n",
    "    repeats_list.extend(df_seasonal_cycle)\n",
    "\n",
    "df['TEMP_fft_clim'] = xr.DataArray(repeats_list)\n",
    "df['TEMP_fft_anom'] = df['TEMP'] - df['TEMP_fft_clim']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Look at the new df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEARMODA</th>\n",
       "      <th>NAME</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY</th>\n",
       "      <th>TEMP</th>\n",
       "      <th>MAX</th>\n",
       "      <th>MIN</th>\n",
       "      <th>TEMP_emperical_clim</th>\n",
       "      <th>TEMP_emperical_anom</th>\n",
       "      <th>TEMP_fft_clim</th>\n",
       "      <th>TEMP_fft_anom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1973-01-01</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
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       "      <td>1.751020</td>\n",
       "      <td>13.659650</td>\n",
       "      <td>1.140350</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1973-01-02</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>-1.044411</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1973-01-03</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>11.8</td>\n",
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       "      <td>13.630885</td>\n",
       "      <td>-1.830885</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1973-01-04</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>10.8</td>\n",
       "      <td>13.9</td>\n",
       "      <td>7.2</td>\n",
       "      <td>13.534694</td>\n",
       "      <td>-2.734694</td>\n",
       "      <td>13.619041</td>\n",
       "      <td>-2.819041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1973-01-05</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>1973</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>13.653061</td>\n",
       "      <td>-5.653061</td>\n",
       "      <td>13.608848</td>\n",
       "      <td>-5.608848</td>\n",
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       "    <tr>\n",
       "      <th>17880</th>\n",
       "      <td>2021-12-27</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>10.2</td>\n",
       "      <td>14.4</td>\n",
       "      <td>6.7</td>\n",
       "      <td>12.848980</td>\n",
       "      <td>-2.648980</td>\n",
       "      <td>13.762419</td>\n",
       "      <td>-3.562419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17881</th>\n",
       "      <td>2021-12-28</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>11.3</td>\n",
       "      <td>12.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13.155102</td>\n",
       "      <td>-1.855102</td>\n",
       "      <td>13.738246</td>\n",
       "      <td>-2.438246</td>\n",
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       "    <tr>\n",
       "      <th>17882</th>\n",
       "      <td>2021-12-29</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>13.289796</td>\n",
       "      <td>-3.289796</td>\n",
       "      <td>13.715903</td>\n",
       "      <td>-3.715903</td>\n",
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       "    <tr>\n",
       "      <th>17883</th>\n",
       "      <td>2021-12-30</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>11.7</td>\n",
       "      <td>13.3</td>\n",
       "      <td>7.2</td>\n",
       "      <td>13.226531</td>\n",
       "      <td>-1.526531</td>\n",
       "      <td>13.695371</td>\n",
       "      <td>-1.995371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17884</th>\n",
       "      <td>2021-12-31</td>\n",
       "      <td>LOS ANGELES INTERNATIONAL AIRPORT</td>\n",
       "      <td>33.938</td>\n",
       "      <td>-118.389</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>12.7</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>12.834694</td>\n",
       "      <td>-0.134694</td>\n",
       "      <td>13.676628</td>\n",
       "      <td>-0.976628</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17885 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         YEARMODA                               NAME  LATITUDE  LONGITUDE  \\\n",
       "0      1973-01-01  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "1      1973-01-02  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "2      1973-01-03  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "3      1973-01-04  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "4      1973-01-05  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "...           ...                                ...       ...        ...   \n",
       "17880  2021-12-27  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17881  2021-12-28  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17882  2021-12-29  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17883  2021-12-30  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "17884  2021-12-31  LOS ANGELES INTERNATIONAL AIRPORT    33.938   -118.389   \n",
       "\n",
       "       YEAR  MONTH  DAY  TEMP   MAX   MIN  TEMP_emperical_clim  \\\n",
       "0      1973      1    1  14.8  19.4  11.1            13.048980   \n",
       "1      1973      1    2  12.6  17.8   7.2            13.363265   \n",
       "2      1973      1    3  11.8  15.0   8.9            13.602041   \n",
       "3      1973      1    4  10.8  13.9   7.2            13.534694   \n",
       "4      1973      1    5   8.0  15.0   2.8            13.653061   \n",
       "...     ...    ...  ...   ...   ...   ...                  ...   \n",
       "17880  2021     12   27  10.2  14.4   6.7            12.848980   \n",
       "17881  2021     12   28  11.3  12.8   6.7            13.155102   \n",
       "17882  2021     12   29  10.0  12.8   7.2            13.289796   \n",
       "17883  2021     12   30  11.7  13.3   7.2            13.226531   \n",
       "17884  2021     12   31  12.7  15.0   8.3            12.834694   \n",
       "\n",
       "       TEMP_emperical_anom  TEMP_fft_clim  TEMP_fft_anom  \n",
       "0                 1.751020      13.659650       1.140350  \n",
       "1                -0.763265      13.644411      -1.044411  \n",
       "2                -1.802041      13.630885      -1.830885  \n",
       "3                -2.734694      13.619041      -2.819041  \n",
       "4                -5.653061      13.608848      -5.608848  \n",
       "...                    ...            ...            ...  \n",
       "17880            -2.648980      13.762419      -3.562419  \n",
       "17881            -1.855102      13.738246      -2.438246  \n",
       "17882            -3.289796      13.715903      -3.715903  \n",
       "17883            -1.526531      13.695371      -1.995371  \n",
       "17884            -0.134694      13.676628      -0.976628  \n",
       "\n",
       "[17885 rows x 14 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comparing the emperical seasonal cycle and the fft filtered seasonal cycle\n",
    "\n",
    "For simplicity, we will only plot out the first few years' data\n",
    "\n",
    "The following plot suggests that the fft filtered seasonal cycle is much smoother! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(20,5))\n",
    "df[df.YEAR < 1980]['TEMP_emperical_clim'].plot(ax = ax, lw = 2, color = 'tab:blue', alpha = .5)\n",
    "df[df.YEAR < 1980]['TEMP_fft_clim'].plot(ax = ax, lw = 2, color = 'tab:orange', alpha = 1.0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What about the daily anomalies?\n",
    "\n",
    "Daily anomalies obtained from the two approaches are almost identical! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(20,5))\n",
    "df[df.YEAR < 1980]['TEMP_emperical_anom'].plot(ax = ax, lw = 2, color = 'tab:blue', alpha = .3)\n",
    "df[df.YEAR < 1980]['TEMP_fft_anom'].plot(ax = ax, lw = 2, color = 'tab:orange', alpha = .3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--- \n",
    "### Below is a to do list for future analyais\n",
    "\n",
    "- #### Stations on the map \n",
    "\n",
    "    - Let's get a sense of where the four stations locate. \n",
    "\n",
    "    - Resource: \n",
    "        - https://makersportal.com/blog/2020/4/24/geographic-visualizations-in-python-with-cartopy\n",
    "\n",
    "\n",
    "- #### Linear regression \n",
    "\n",
    "\n",
    "- #### Quantile regression \n",
    "    - See whether we can reproduce McKinnon et al 2016 JGR Figure 3 with our data\n",
    "    - Examples:\n",
    "        - https://stackoverflow.com/questions/55069984/matplotlib-inset-plot-within-basemap\n",
    "        - https://www.pygmt.org/v0.3.0/tutorials/inset.html\n",
    "        - https://basemaptutorial.readthedocs.io/en/latest/locator.html\n",
    "    \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (stats)",
   "language": "python",
   "name": "stats"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}