commit 59f50dc647c514092cc1c41623e22ef76714d76f
Author: Fedor Sarafanov <sfg180@yandex.ru>
Date:   Fri Sep 2 14:50:52 2022 +0300

    Upload readme, figures and scripts

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+.ipynb_checkpoints
+data/*
diff --git a/Readme.md b/Readme.md
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+# The effect of the MJO on the GEC
+The code in this repository accompanies an article about the influence of the Madden–Julian Oscillation on the global electric circuit.
+* The **Madden–Julian Oscillation (MJO)** is the most dominant component of the climate variability in the tropics on the timescale of tens of days.
+* We investigate the effect of the MJO on the direct current **global electric circuit (GEC)**, using both numerical simulations and the results of electric field measurements.
+
+### Get big binary files
+
+If you want run code on local computer, you need download all files from [https://eee.ipfran.ru/files/mjo](https://eee.ipfran.ru/files/mjo) and put them to folder `data`.
+
+### Get the code and prepare to launch
+All the code is written in `Python 3.7` using `Jupyter notebook`. You can get the latest version of the code and data as an archive  [(click here to download a zip-archive)](https://git260.ipfran.ru/eee/mjo-gec-2022/archive/master.zip) or using `Git`:
+```bash
+git clone https://git260.ipfran.ru/eee/mjo-gec-2022.git
+```
+<!-- You can also download a pure Python version of the code without using the Jupyter notebook ([click here to download a zip-archive](https://git260.ipfran.ru/eee/mjo-gec-2022/archive/pure_python.zip)). With `Git 1.7.10` or later you can also clone a specific branch: -->
+<!-- ```bash
+git clone --single-branch --branch pure_python https://git260.ipfran.ru/eee/mjo-gec-2022.git
+```-->
+### Python requirements
+In order to run the code, you will need to have the following python packages:
+* `scipy >= 1.6.0`
+* `matplotlib >= 3.5.0`
+* `cartopy >= 0.18.0`
+
+### About the attached data
+* `rmm.txt`. Source of this text file you can [download directly](http://www.bom.gov.au/climate/mjo/graphics/rmm.74toRealtime.txt) from the Australian Bureau of Meteorology. The columns of the file represent the date (from 1974 onwards), components of the Real-time Multivariate MJO index (RMM), MJO phase and amplitude.
+* `OLR_41year_NOAA.npy` This is a `numpy` array with the shape `(14976, 180, 360)`, containing daily averaged (14976 days) Outgoing Longwave Radiation values from NOAA dataset [olr.day.mean.nc](https://psl.noaa.gov/data/gridded/data.interp_OLR.html) for every cell of a 1°×1° latitude-longitude grid (180×360) starting with 1980-1-1 and ending with 2021-12-31.
+* `DAILY-ENSO34.npy`. This is a `numpy` array with the shape `(4992,)`, containing daily averaged sea surface temperature in the Niño 3.4 region. Here 4992 is the number of days when every third day in 1980–2020 is taken.
+* `DAILY-IP-MAP-V4.3.npy`. This is a `numpy` array with the shape `(4992, 180, 360)`, containing daily averaged (4992 days) contributions to the ionospheric potential (IP) for every cell of a 1°×1° latitude-longitude grid (180×360) for every third day. The gird cell contributions are calculated with the Weather Research and Forecasting model (WRF) version 4.3.
+* `vostok_hourly <...>.txt` text files contain two columns, one of which represents the date and time (column `Datetime`) and the other, hourly averaged potential gradient (PG) values on the basis of the measurements at the Russian Antarctic station Vostok (column `Field`, the units are V/m).
+* `sunspot_number_data.csv` contains information about total sunspot number for every day of years 1818--2022. You can download file [here](https://www.sidc.be/silso/datafiles).
+
+### About the scripts
+* `map_of_contributions` plots the anomalies in grid cell contributions to the IP during different MJO phases.
+* `variations_ip_pg_rmm_with_mjo_phase` plots variations of various parameters with the MJO cycle. In particular, we plot the IP, the fair-weather PG and the two components of the RMM index.
+* `eof_analysis` represents a more elaborate analysis of contributions to the IP using the concept of empirical orthogonal functions (EOFs) and principal components (PCs).
diff --git a/eof_analysis.ipynb b/eof_analysis.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ec13e2de",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# EOF analysis of contributions to the IP\n",
+    "Here we represent an analysis of contributions to the ionospheric potential (IP), using the concept of empirical orthogonal functions (EOFs)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de2e692f",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2c35172b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# data processing\n",
+    "import numpy as np\n",
+    "\n",
+    "# plotting the data\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.offsetbox import AnchoredOffsetbox, TextArea, HPacker\n",
+    "\n",
+    "# Fourier analysis\n",
+    "from scipy.fft import rfft, rfftfreq, irfft"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "310cc226",
+   "metadata": {},
+   "source": [
+    "## Loading the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f35c74b8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "map_contrib = np.load('./data/DAILY-IP-MAP-V4.3.npy')\n",
+    "# original data with the shape (number of days, number of latitudes, number of longitudes)\n",
+    "# contains IP values (not normalised) depending on (d, lat, lon)\n",
+    "# d (axis 0) is the number of a day starting with 0 and ending with 4991\n",
+    "# every third day is taken, 0 corresponds to 1 Jan 1980 and 4991 corresponds to 29 Dec 2020\n",
+    "# lat (axis 1) describes the latitude (an integer in [0, 180])\n",
+    "# lon (axis 2) describes the longitude (an integer in [0, 360])\n",
+    "\n",
+    "map_contrib /= np.mean(np.sum(map_contrib, axis=(1, 2)))\n",
+    "map_contrib *= 240e3\n",
+    "# normalisation of contributions to the IP to the global mean of 240 kV\n",
+    "\n",
+    "ip = np.sum(map_contrib, axis=(1, 2))  # total IP values for different days\n",
+    "\n",
+    "rmm = np.genfromtxt('./data/rmm.txt')\n",
+    "rmm = rmm[::3, [3, 4]]  # RMM1 and RMM2\n",
+    "# the array should look like the IP data (with every third day taken)\n",
+    "angle_rmm = np.arctan2(rmm[:, 1], rmm[:, 0])  # phase angles of RMM values\n",
+    "phase_rmm = np.floor((angle_rmm / np.pi + 1) * 4).astype(int)  # phase numbers\n",
+    "\n",
+    "# phase separation\n",
+    "phase_avg_ip = np.zeros((8), dtype=float)\n",
+    "counter = np.zeros((8), dtype=int)\n",
+    "\n",
+    "for i in range(len(phase_rmm)):\n",
+    "    counter[phase_rmm[i]] += 1\n",
+    "    phase_avg_ip[phase_rmm[i]] += ip[i]  # summing over each phase\n",
+    "\n",
+    "phase_avg_ip /= counter  # averaging over each phase"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b7de973",
+   "metadata": {},
+   "source": [
+    "## Preprocessing of the data for the EOF analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a39d5c0a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Processed contribution of the 15° S–15° N region: 207293.50170373698\n"
+     ]
+    }
+   ],
+   "source": [
+    "def remove_enso(a):\n",
+    "    \"\"\"\n",
+    "    Remove the patterns related to ENSO variability.\n",
+    "    :param a: an array with the shape (number of days, number of longitudes)\n",
+    "    :return: the same array with ENSO variability removed\n",
+    "    \"\"\"\n",
+    "\n",
+    "    enso34 = np.load('./data/DAILY-ENSO34.npy')  # mean SST values in the Niño 3.4 region\n",
+    "    assert len(enso34) == a.shape[0]\n",
+    "    a_mean_before = np.mean(a, axis=0)  # mean values over days before the procedure\n",
+    "\n",
+    "    p = np.polyfit(enso34, a, 1)\n",
+    "    a -= np.matmul(enso34[:, np.newaxis], p[0, np.newaxis, :]) + p[1, np.newaxis, :]\n",
+    "    # pointwise subtraction of a linear regression between enso34[:] and a[:, ...]\n",
+    "\n",
+    "    a_mean_after = np.mean(a, axis=0)  # mean values over days after the procedure\n",
+    "    a += a_mean_before[np.newaxis, :] - a_mean_after[np.newaxis, :]\n",
+    "    # restoring the original mean values\n",
+    "\n",
+    "    return a\n",
+    "\n",
+    "def remove_seasonal(a):\n",
+    "    \"\"\"\n",
+    "    Remove the seasonal variability.\n",
+    "    :param a: an array with the shape (number of days, number of longitudes)\n",
+    "    :return: the same array with first four harmonics of seasonal variability removed\n",
+    "    \"\"\"\n",
+    "\n",
+    "    frequencies = rfftfreq(a.shape[0], 3)  # every third day is taken in the data\n",
+    "\n",
+    "    fourier_transform = rfft(a, axis=0)\n",
+    "\n",
+    "    for m in range(1, 5):  # the removal of the four leading seasonal harmonics\n",
+    "        condition = (np.fabs(frequencies - m/365.25) <= frequencies[1]/2)\n",
+    "        # in fact frequencies[1] == 1 / (a.shape[0]*3)\n",
+    "        fourier_transform = np.where(\n",
+    "            condition[:, np.newaxis], 0, fourier_transform\n",
+    "        )\n",
+    "\n",
+    "    a = irfft(fourier_transform, a.shape[0], axis=0)\n",
+    "    # the mean value changes negligibly since we remove seasonal harmonics with zero mean values\n",
+    "\n",
+    "    return a\n",
+    "\n",
+    "latitude = 15  # the boundary latitude for tropics\n",
+    "\n",
+    "assert map_contrib.shape[1] == 180  # the next formula assumes this\n",
+    "assert latitude < 90  # the next formula will not work correctly for 90\n",
+    "map_contrib = np.sum(map_contrib[:, 90-latitude:-90+latitude, :], axis=1)\n",
+    "# summing over latitudes in the equatorial region\n",
+    "\n",
+    "map_contrib = remove_enso(map_contrib)\n",
+    "map_contrib = remove_seasonal(map_contrib)\n",
+    "# this removes the variability on the ENSO timescale and seasonal variability\n",
+    "# it is necessary to do this in the presented order as the removal of patterns\n",
+    "# linearly related to the ENSO34 brings variability with a period of about one year\n",
+    "\n",
+    "print(f'Processed contribution of the 15° S–15° N region: {np.sum(np.mean(map_contrib, axis=0))}')\n",
+    "map_contrib -= np.mean(map_contrib, axis=0)  # subtraction of the mean distribution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "78df0ce3",
+   "metadata": {},
+   "source": [
+    "## EOF analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "4f117151",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def eof_analysis(a):\n",
+    "    \"\"\"\n",
+    "    Calculate empirical orthogonal functions (EOFs) and related quantities.\n",
+    "    :param a: an array with the shape (number of days, number of longitudes)\n",
+    "    :return: EOFs, explained variances, principal components (PCs)\n",
+    "    \"\"\"\n",
+    "\n",
+    "    cov = np.cov(a, rowvar=False)  # covariance matrix\n",
+    "    lambdas, eofs = np.linalg.eig(cov)  # diagonalisation of the covariance matrix\n",
+    "    # EOFs are eigenvectors with the Euclidean norm equal to 1\n",
+    "\n",
+    "    order = lambdas.argsort()[::-1]  # sorting by decreasing eigenvalues\n",
+    "    lambdas = lambdas[order]\n",
+    "    eofs = eofs[:, order]\n",
+    "\n",
+    "    expvars = lambdas / np.sum(lambdas)  # the fraction of variance explained by each EOF\n",
+    "\n",
+    "    pcs = np.matmul(a, eofs)  # PCs for the EOFs\n",
+    "    # a[day, longitude] × eofs[longitude, number] == pcs[day, number]\n",
+    "\n",
+    "    return eofs, expvars, pcs\n",
+    "\n",
+    "eofs, expvars, pcs = eof_analysis(map_contrib)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "47859ce3-8f1d-4cf2-b3aa-d57946eabb44",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reofs = np.zeros((eofs.shape[0], 3), dtype=float)\n",
+    "reofs[:, 0] = eofs[:, 0]\n",
+    "reofs[:, 1] = (eofs[:, 1] - eofs[:, 2]) / np.sqrt(2)\n",
+    "reofs[:, 2] = (eofs[:, 1] + eofs[:, 2]) / np.sqrt(2)\n",
+    "# rotated EOFs\n",
+    "\n",
+    "rpcs = np.zeros((pcs.shape[0], 3), dtype=float)\n",
+    "rpcs[:, 0] = pcs[:, 0]\n",
+    "rpcs[:, 1] = (pcs[:, 1] - pcs[:, 2]) / np.sqrt(2)\n",
+    "rpcs[:, 2] = (pcs[:, 1] + pcs[:, 2]) / np.sqrt(2)\n",
+    "# PCs corresponding to the rotated EOFs\n",
+    "\n",
+    "rexpvars = np.zeros(3)\n",
+    "rexpvars[0] = expvars[0]\n",
+    "rexpvars[1] = (expvars[1] + expvars[2]) / 2\n",
+    "rexpvars[2] = (expvars[1] + expvars[2]) / 2\n",
+    "# the fraction of variance explained by each rotated EOF"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "79db66cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# components of the longitudinal IP variation are obtained by\n",
+    "# multiplying EOFs by the respective PCs\n",
+    "\n",
+    "# phase separation\n",
+    "phase_avg_comp = np.zeros((8, eofs.shape[0], eofs.shape[1]), dtype=float)\n",
+    "phase_avg_pc = np.zeros((8, pcs.shape[1]), dtype=float)\n",
+    "phase_avg_rcomp = np.zeros((8, eofs.shape[0], 3), dtype=float)\n",
+    "phase_avg_rpc = np.zeros((8, 3), dtype=float)\n",
+    "counter = np.zeros((8), dtype=int)\n",
+    "\n",
+    "for i in range(len(phase_rmm)):\n",
+    "    counter[phase_rmm[i]] += 1\n",
+    "    phase_avg_comp[phase_rmm[i], :, :] += eofs[:, :] * pcs[i, np.newaxis, :]\n",
+    "    phase_avg_pc[phase_rmm[i], :] += pcs[i, :]\n",
+    "    phase_avg_rcomp[phase_rmm[i], :, :] += reofs[:, :] * rpcs[i, np.newaxis, :]\n",
+    "    phase_avg_rpc[phase_rmm[i], :] += rpcs[i, :]\n",
+    "    # summing over each phase\n",
+    "\n",
+    "phase_avg_comp[:, :, :] /= counter[:, np.newaxis, np.newaxis]\n",
+    "phase_avg_pc[:, :] /= counter[:, np.newaxis]\n",
+    "phase_avg_rcomp[:, :, :] /= counter[:, np.newaxis, np.newaxis]\n",
+    "phase_avg_rpc[:, :] /= counter[:, np.newaxis]\n",
+    "# averaging over each phase\n",
+    "# the first resulting array contains components of longitudinal IP variation\n",
+    "# the indices are (MJO phase, longitude, EOF number)\n",
+    "# the second resulting array contains PCs of IP variation\n",
+    "# the indices are (MJO phase, EOF/PC number)\n",
+    "# the third and fourth arrays contain the same for the rotated EOFs\n",
+    "\n",
+    "phase_avg_ip_comp = np.sum(phase_avg_comp, axis=1)\n",
+    "phase_avg_ip_rcomp = np.sum(phase_avg_rcomp, axis=1)\n",
+    "# summing over longitudes\n",
+    "# the first array contains total contributions to the IP from various EOFs\n",
+    "# the indices are (MJO phase, EOF number)\n",
+    "# the second array contains the same for the rotated EOFs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e3b6e55",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8b3c241c-d9f4-4502-af62-6ad67a8ccdb6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x864 with 6 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(nrows=3, ncols=2, figsize=(10, 12),\n",
+    "                       constrained_layout=False, gridspec_kw={'height_ratios': [3, 3, 3.5]})\n",
+    "\n",
+    "for i in range(3):\n",
+    "    for j in range(2):\n",
+    "        for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "            ax[i, j].spines[axis].set_linewidth(0.5)\n",
+    "        ax[i, j].tick_params(length=6, width=0.5)\n",
+    "        ax[i, j].tick_params(length=3, width=0.5, which='minor')\n",
+    "\n",
+    "for j in range(2):\n",
+    "    ax[1, j].set_xlim(0, 360)\n",
+    "    ax[1, j].set_xticks(np.arange(0, 361, 60))\n",
+    "    ax[1, j].set_xticks(np.arange(0, 361, 30), minor=True)\n",
+    "    ax[1, j].set_xticklabels(['0', '60E', '120E', '180',\n",
+    "                              '120W', '60W', '0'],\n",
+    "                             fontsize='large')\n",
+    "    ax[1, j].set_xlabel('Longitude', fontsize='large')\n",
+    "\n",
+    "    ax[1, j].set_ylim(-0.2, 0.2)\n",
+    "    ax[1, j].set_yticks(np.arange(-0.2, 0.21, 0.1))\n",
+    "    ax[1, j].set_yticklabels([f'−{-y:.1f}' if y < 0\n",
+    "                              else f'{y:.1f}'\n",
+    "                              for y in np.arange(-0.2, 0.21, 0.1)],\n",
+    "                             fontsize='large')\n",
+    "\n",
+    "    ax[1, j].grid(color='0.8', linewidth=0.5, which='both')\n",
+    "    ax[1, j].axhline(color='0.', linewidth=0.5)\n",
+    "\n",
+    "    for i in [0, 2]:\n",
+    "        ax[i, j].set_xlim(0.5, 8.5)\n",
+    "        ax[i, j].set_xticks(np.arange(1, 9))\n",
+    "        ax[i, j].set_xticklabels(np.arange(1, 9).astype(int),\n",
+    "                                 fontsize='large')\n",
+    "        ax[i, j].set_xlabel('MJO phase', fontsize='large')\n",
+    "\n",
+    "    ax[0, j].set_ylim(-9, 9)\n",
+    "    ax[0, j].set_yticks(np.arange(-9, 10, 3))\n",
+    "    ax[0, j].set_yticklabels([f'−{-y:d}' if y < 0\n",
+    "                              else f'+{y:d}' if y > 0\n",
+    "                              else f'{y:d}'\n",
+    "                              for y in np.arange(-9, 10, 3)],\n",
+    "                             fontsize='large')\n",
+    "\n",
+    "    ax[2, j].set_ylim(-1.5, 1.5)\n",
+    "    ax[2, j].set_yticks(np.arange(-1.5, 1.6, 0.5))\n",
+    "    ax[2, j].set_yticklabels([f'−{-y:.1f}' if y < 0\n",
+    "                              else f'{y:.1f}'\n",
+    "                              for y in np.arange(-1.5, 1.6, 0.5)],\n",
+    "                             fontsize='large')\n",
+    "\n",
+    "    for i in [0, 2]:\n",
+    "        ax[i, j].grid(color='0.8', linewidth=0.5, axis='y')\n",
+    "        ax[i, j].axhline(color='0.', linewidth=0.5)\n",
+    "\n",
+    "ax[0, 0].set_ylabel('Anomaly in the\\nionospheric potential, kV',\n",
+    "                    fontsize='large')\n",
+    "ax[1, 0].set_ylabel('Normalised magnitude', fontsize='large')\n",
+    "ax[2, 0].set_ylabel('Magnitude, kV', fontsize='large')\n",
+    "\n",
+    "fig.align_ylabels([ax[0, 0], ax[1, 0], ax[2, 0]])\n",
+    "\n",
+    "ax[0, 0].bar(np.arange(1, 9) - 0.3, phase_avg_ip_comp[:, 0] / 1e3,\n",
+    "             width=0.3, color='orangered', label='PC1 · EOF1')\n",
+    "ax[0, 0].bar(np.arange(1, 9), phase_avg_ip_comp[:, 1] / 1e3,\n",
+    "             width=0.3, color='olive', label='PC2 · EOF2')\n",
+    "ax[0, 0].bar(np.arange(1, 9) + 0.3, phase_avg_ip_comp[:, 2] / 1e3,\n",
+    "             width=0.3, color='mediumvioletred', label='PC3 · EOF3')\n",
+    "# hair spaces around '·'\n",
+    "\n",
+    "ax[1, 0].plot(np.arange(0, 361), np.append(eofs[:, 0], eofs[0, 0]),\n",
+    "              linewidth=1.5, color='orangered', clip_on=False,\n",
+    "              zorder = 6, label=f'EOF1 ({expvars[0]:.2%})')\n",
+    "ax[1, 0].plot(np.arange(0, 361), np.append(eofs[:, 1], eofs[0, 1]),\n",
+    "              linewidth=1.5, color='olive', clip_on=False,\n",
+    "              zorder = 5, label=f'EOF2 ({expvars[1]:.2%})')\n",
+    "ax[1, 0].plot(np.arange(0, 361), np.append(eofs[:, 2], eofs[0, 2]),\n",
+    "              linewidth=1.5, color='mediumvioletred', clip_on=False,\n",
+    "              zorder = 4, label=f'EOF3 ({expvars[2]:.2%})')\n",
+    "\n",
+    "ax[2, 0].bar(np.arange(1, 9) - 0.3, phase_avg_pc[:, 0] / 1e3,\n",
+    "             width=0.3, color='orangered', label='PC1')\n",
+    "ax[2, 0].bar(np.arange(1, 9), phase_avg_pc[:, 1] / 1e3,\n",
+    "             width=0.3, color='olive', label='PC2')\n",
+    "ax[2, 0].bar(np.arange(1, 9) + 0.3, phase_avg_pc[:, 2] / 1e3,\n",
+    "             width=0.3, color='mediumvioletred', label='PC3')\n",
+    "\n",
+    "ax[0, 1].bar(np.arange(1, 9) - 0.3, phase_avg_ip_rcomp[:, 0] / 1e3,\n",
+    "             width=0.3, color='orangered', label='PC1 · EOF1')\n",
+    "ax[0, 1].bar(np.arange(1, 9), phase_avg_ip_rcomp[:, 1] / 1e3,\n",
+    "             width=0.3, color='teal', label='PC2′ · EOF2′')\n",
+    "ax[0, 1].bar(np.arange(1, 9) + 0.3, phase_avg_ip_rcomp[:, 2] / 1e3,\n",
+    "             width=0.3, color='darkgoldenrod', label='PC3′ · EOF3′')\n",
+    "# hair spaces around '·'\n",
+    "\n",
+    "ax[1, 1].plot(np.arange(0, 361), np.append(reofs[:, 0], reofs[0, 0]),\n",
+    "              linewidth=1.5, color='orangered', clip_on=False,\n",
+    "              zorder = 6, label=f'EOF1 ({rexpvars[0]:.2%})')\n",
+    "ax[1, 1].plot(np.arange(0, 361), np.append(reofs[:, 1], reofs[0, 1]),\n",
+    "              linewidth=1.5, color='teal', clip_on=False,\n",
+    "              zorder = 5, label=f'EOF2′ ({rexpvars[1]:.2%})')\n",
+    "ax[1, 1].plot(np.arange(0, 361), np.append(reofs[:, 2], reofs[0, 2]),\n",
+    "              linewidth=1.5, color='darkgoldenrod', clip_on=False,\n",
+    "              zorder = 4, label=f'EOF3′ ({rexpvars[2]:.2%})')\n",
+    "\n",
+    "ax[2, 1].bar(np.arange(1, 9) - 0.3, phase_avg_rpc[:, 0] / 1e3,\n",
+    "             width=0.3, color='orangered', label='PC1')\n",
+    "ax[2, 1].bar(np.arange(1, 9), phase_avg_rpc[:, 1] / 1e3,\n",
+    "             width=0.3, color='teal', label='PC2′')\n",
+    "ax[2, 1].bar(np.arange(1, 9) + 0.3, phase_avg_rpc[:, 2] / 1e3,\n",
+    "             width=0.3, color='darkgoldenrod', label='PC3′')\n",
+    "\n",
+    "for j in range(2):\n",
+    "    leg = ax[1, j].legend(fontsize='large', framealpha=1,\n",
+    "                          edgecolor='0.', handlelength=1.)\n",
+    "    leg.get_frame().set_linewidth(0.5)\n",
+    "    for i in [0, 2]:\n",
+    "        leg = ax[i, j].legend(fontsize='large', framealpha=1,\n",
+    "                              edgecolor='0.', handlelength=1.5)\n",
+    "        leg.get_frame().set_linewidth(0.5)\n",
+    "\n",
+    "for i in range(3):\n",
+    "    ax[i, 0].text(-0.3, 1.05, chr(ord('a') + i), fontsize='x-large',\n",
+    "                  fontweight='semibold', ha='left', va='bottom',\n",
+    "                  transform=ax[i, 0].transAxes)\n",
+    "    ax[i, 1].text(-0.18, 1.05, chr(ord('a') + 3 + i), fontsize='x-large',\n",
+    "                  fontweight='semibold', ha='left', va='bottom',\n",
+    "                  transform=ax[i, 1].transAxes)\n",
+    "\n",
+    "fig.subplots_adjust(hspace=0.3, wspace=0.25)\n",
+    "\n",
+    "fig.savefig('figures/eofs_and_pcs.eps', bbox_inches='tight')\n",
+    "fig.savefig('figures/eofs_and_pcs.png', dpi=300, bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8f4ae8f9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x252 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(10, 3.5),\n",
+    "                       constrained_layout=False)\n",
+    "\n",
+    "for j in range(2):\n",
+    "    for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "        ax[j].spines[axis].set_linewidth(0.5)\n",
+    "    ax[j].tick_params(length=6, width=0.5)\n",
+    "\n",
+    "    ax[j].set_xlim(0.5, 8.5)\n",
+    "    ax[j].set_xticks(np.arange(1, 9))\n",
+    "    ax[j].set_xticklabels(np.arange(1, 9).astype(int),\n",
+    "                          fontsize='large')\n",
+    "    ax[j].set_xlabel('MJO phase', fontsize='large')\n",
+    "\n",
+    "    ax[j].grid(color='0.8', linewidth=0.5, axis='y')\n",
+    "    ax[j].axhline(color='0.', linewidth=0.5)\n",
+    "\n",
+    "ax[0].set_ylim(-15, 15)\n",
+    "ax[0].set_yticks(np.arange(-15, 16, 5))\n",
+    "ax[0].set_yticklabels([f'−{-y:d}' if y < 0\n",
+    "                       else f'+{y:d}' if y > 0\n",
+    "                       else f'{y:d}'\n",
+    "                       for y in np.arange(-15, 16, 5)],\n",
+    "                      fontsize='large')\n",
+    "ax[1].set_ylim(-12, 12)\n",
+    "ax[1].set_yticks(np.arange(-12, 13, 4))\n",
+    "ax[1].set_yticklabels([f'−{-y:d}' if y < 0\n",
+    "                       else f'+{y:d}' if y > 0\n",
+    "                       else f'{y:d}'\n",
+    "                       for y in np.arange(-12, 13, 4)],\n",
+    "                      fontsize='large')\n",
+    "\n",
+    "ax[0].set_ylabel('Anomaly in the\\nionospheric potential, kV',\n",
+    "                 fontsize='large')\n",
+    "\n",
+    "ax[0].bar(np.arange(1, 9) - 0.2, phase_avg_ip / 1e3 - 240,\n",
+    "          width=0.4, color='coral',\n",
+    "          label='Total ionospheric potential')\n",
+    "ax[0].bar(np.arange(1, 9) + 0.2, np.sum(phase_avg_ip_comp, axis=1) / 1e3,\n",
+    "          width=0.4, color='royalblue',\n",
+    "          label='Processed contrib. of 15° S–15° N')\n",
+    "# thin spaces after '°'\n",
+    "\n",
+    "ax[1].bar(np.arange(1, 9) - 0.2, np.sum(phase_avg_ip_comp, axis=1) / 1e3,\n",
+    "          width=0.4, color='royalblue',\n",
+    "          label='Total anomaly (all EOFs and PCs)')\n",
+    "ax[1].bar(np.arange(1, 9) + 0.2, np.sum(phase_avg_ip_comp[:, :3], axis=1) / 1e3,\n",
+    "          width=0.4, color='peru',\n",
+    "          label='PC1 · EOF1 + PC2 · EOF2 + PC3 · EOF3')\n",
+    "# hair spaces around '·', thin spaces around '+'\n",
+    "\n",
+    "for j in range(2):\n",
+    "    leg = ax[j].legend(bbox_to_anchor=(0., -0.45, 1., 0.2),\n",
+    "                       loc='upper center', borderaxespad=0.,\n",
+    "                       mode = 'expand', fontsize='large',\n",
+    "                       framealpha=1, edgecolor='0.', handlelength=1.5)\n",
+    "    leg.get_frame().set_linewidth(0.5)\n",
+    "\n",
+    "ax[0].text(-0.3, 1.05, 'a', fontsize='x-large',\n",
+    "           fontweight='semibold', ha='left', va='bottom',\n",
+    "           transform=ax[0].transAxes)\n",
+    "ax[1].text(-0.18, 1.05, 'b', fontsize='x-large',\n",
+    "           fontweight='semibold', ha='left', va='bottom',\n",
+    "           transform=ax[1].transAxes)\n",
+    "\n",
+    "fig.subplots_adjust(wspace=0.25)\n",
+    "\n",
+    "fig.savefig('figures/equatorial_variation.eps', bbox_inches='tight')\n",
+    "fig.savefig('figures/equatorial_variation.png', dpi=300, bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "36cb8cd3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x864 with 24 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(nrows=8, ncols=3, figsize=(10, 12),\n",
+    "                       constrained_layout=False)\n",
+    "\n",
+    "for i in range(8):\n",
+    "    for j in range(3):\n",
+    "        for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "            ax[i, j].spines[axis].set_linewidth(0.5)\n",
+    "        ax[i, j].tick_params(length=6, width=0.5)\n",
+    "    \n",
+    "        ax[i, j].set_xlim(0, 360)\n",
+    "        ax[i, j].set_xticks(np.arange(0, 361, 60))\n",
+    "\n",
+    "        if i == 7:\n",
+    "            ax[i, j].set_xticklabels(['0', '60E', '120E', '180',\n",
+    "                                      '120W', '60W', '0'],\n",
+    "                                     fontsize='large', rotation=315)\n",
+    "            if j == 1:\n",
+    "                ax[i, j].set_xlabel('Longitude', fontsize='large')\n",
+    "        else:\n",
+    "            ax[i, j].set_xticklabels([])\n",
+    "\n",
+    "        ax[i, j].set_ylim(-300, 300)\n",
+    "        ax[i, j].set_yticks(np.arange(-300, 301, 150))\n",
+    "\n",
+    "        if j == 0:\n",
+    "            ax[i, j].set_yticklabels([f'−{-y:d}' if y < 0\n",
+    "                                      else f'+{y:d}' if y > 0\n",
+    "                                      else f'{y:d}'\n",
+    "                                      for y in np.arange(-300, 301, 150)],\n",
+    "                                     fontsize='large')\n",
+    "            if i == 3:\n",
+    "                ax[i, j].yaxis.set_label_coords(-0.25, -0.125)\n",
+    "                ax[i, j].set_ylabel('Anomaly in the contribution to the '\n",
+    "                                    'ionospheric potential, V',\n",
+    "                                    fontsize='large', ha='center')\n",
+    "        else:\n",
+    "            ax[i, j].set_yticklabels([])\n",
+    "        \n",
+    "        ax[i, j].grid(color='0.8', linewidth=0.5)\n",
+    "        ax[i, j].axhline(color='0.', linewidth=0.5)\n",
+    "\n",
+    "    ax[i, 2].yaxis.set_label_position('right')\n",
+    "    ax[i, 2].set_ylabel(f'Phase {i + 1}', fontsize='large',\n",
+    "                        rotation=270, va='bottom')\n",
+    "\n",
+    "    ys = np.sum(phase_avg_comp[i, :, :], axis=1)\n",
+    "    ax[i, 0].plot(np.arange(0, 361), np.append(ys, ys[0]), linewidth=1.5,\n",
+    "                  color='royalblue', clip_on=False, zorder = 4)\n",
+    "\n",
+    "    ys = np.sum(phase_avg_rcomp[i, :, :2], axis=1)\n",
+    "    ax[i, 1].plot(np.arange(0, 361), np.append(ys, ys[0]), linewidth=1.5,\n",
+    "                  color='darkgreen', clip_on=False, zorder = 4)\n",
+    "\n",
+    "    ys = phase_avg_rcomp[i, :, 0]\n",
+    "    ax[i, 2].plot(np.arange(0, 361), np.append(ys, ys[0]), linewidth=1.5,\n",
+    "                  color='orangered', clip_on=False, zorder = 5)\n",
+    "    ys = phase_avg_rcomp[i, :, 1]\n",
+    "    ax[i, 2].plot(np.arange(0, 361), np.append(ys, ys[0]), linewidth=1.5,\n",
+    "                  color='teal', clip_on=False, zorder = 4)\n",
+    "\n",
+    "box1 = TextArea('Total (all EOFs and PCs)',\n",
+    "                textprops=dict(color='royalblue', fontsize='large'))\n",
+    "box2 = TextArea('PC1 · EOF1 + PC2′ · EOF2′',\n",
+    "                textprops=dict(color='darkgreen', fontsize='large'))\n",
+    "box3 = TextArea('PC1 · EOF1',\n",
+    "                textprops=dict(color='orangered', fontsize='large'))\n",
+    "box4 = TextArea(' vs ',\n",
+    "                textprops=dict(color='0.', fontsize='large'))\n",
+    "box5 = TextArea('PC2′ · EOF2′',\n",
+    "                textprops=dict(color='teal', fontsize='large'))\n",
+    "box6 = HPacker(children=[box3, box4, box5], align='center',\n",
+    "               pad=0., sep=0.)\n",
+    "# hair spaces around '·', thin spaces around '+'\n",
+    "abox1 = AnchoredOffsetbox(loc='lower center', child=box1, pad=0.,\n",
+    "                          borderpad=0.3, frameon=False,\n",
+    "                          bbox_to_anchor=(0.5, 1.),\n",
+    "                          bbox_transform=ax[0, 0].transAxes)\n",
+    "abox2 = AnchoredOffsetbox(loc='lower center', child=box2, pad=0.,\n",
+    "                          borderpad=0.3, frameon=False,\n",
+    "                          bbox_to_anchor=(0.5, 1.),\n",
+    "                          bbox_transform=ax[0, 1].transAxes)\n",
+    "abox3 = AnchoredOffsetbox(loc='lower center', child=box6, pad=0.,\n",
+    "                          borderpad=0.3, frameon=False,\n",
+    "                          bbox_to_anchor=(0.5, 1.),\n",
+    "                          bbox_transform=ax[0, 2].transAxes)\n",
+    "ax[0, 0].add_artist(abox1)\n",
+    "ax[0, 1].add_artist(abox2)\n",
+    "ax[0, 2].add_artist(abox3)\n",
+    "\n",
+    "fig.subplots_adjust(hspace=0.25, wspace=0.1)\n",
+    "\n",
+    "fig.savefig('figures/longitudinal_structure.eps', bbox_inches='tight')\n",
+    "fig.savefig('figures/longitudinal_structure.png', dpi=300, bbox_inches='tight')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/figures/eofs_and_pcs.eps b/figures/eofs_and_pcs.eps
new file mode 100644
index 0000000..09b94e9
--- /dev/null
+++ b/figures/eofs_and_pcs.eps
@@ -0,0 +1,8410 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%Title: eofs_and_pcs.eps
+%%Creator: Matplotlib v3.5.1, https://matplotlib.org/
+%%CreationDate: Fri Sep  2 14:19:13 2022
+%%Orientation: portrait
+%%BoundingBox: -19 33 632 759
+%%HiResBoundingBox: -19.310156 33.199984 631.310156 758.800016
+%%EndComments
+%%BeginProlog
+/mpldict 12 dict def
+mpldict begin
+/_d { bind def } bind def
+/m { moveto } _d
+/l { lineto } _d
+/r { rlineto } _d
+/c { curveto } _d
+/cl { closepath } _d
+/ce { closepath eofill } _d
+/box {
+      m
+      1 index 0 r
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diff --git a/figures/rmm_diagram.png b/figures/rmm_diagram.png
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index 0000000..cad9d0c
Binary files /dev/null and b/figures/rmm_diagram.png differ
diff --git a/map_of_contributions.ipynb b/map_of_contributions.ipynb
new file mode 100644
index 0000000..9ed5b95
--- /dev/null
+++ b/map_of_contributions.ipynb
@@ -0,0 +1,244 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8f6369ca",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Map of contributions to the IP\n",
+    "Here we plot maps of contributions to the ionospheric potential (IP) during different MJO phases."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc9b7d89",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "911fa6c6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# data processing\n",
+    "import numpy as np\n",
+    "\n",
+    "# plotting the data\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# maps\n",
+    "import cartopy.crs as ccrs\n",
+    "\n",
+    "# colours\n",
+    "from matplotlib import cm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e1a4df3",
+   "metadata": {},
+   "source": [
+    "## Loading the data and calculating RMM phases"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "56b259ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "map_contrib = np.load('./data/DAILY-IP-MAP-V4.3.npy')\n",
+    "# original data with the shape (number of days, number of latitudes, number of longitudes)\n",
+    "# contains IP values (not normalised) depending on (d, lat, lon)\n",
+    "# d (axis 0) is the number of a day starting with 0 and ending with 4991\n",
+    "# every third day is taken, 0 corresponds to 1 Jan 1980 and 4991 corresponds to 29 Dec 2020\n",
+    "# lat (axis 1) describes the latitude (an integer in [0, 180])\n",
+    "# lon (axis 2) describes the longitude (an integer in [0, 360])\n",
+    "\n",
+    "map_contrib /= np.mean(np.sum(map_contrib, axis=(1, 2)))\n",
+    "map_contrib *= 240e3\n",
+    "# normalisation of contributions to the IP to the global mean of 240 kV\n",
+    "\n",
+    "avg_map_contrib = np.mean(map_contrib, axis=0)  # long-term means of contributions\n",
+    "\n",
+    "rmm = np.genfromtxt('./data/rmm.txt')\n",
+    "rmm = rmm[::3, [3, 4]]  # RMM1 and RMM2\n",
+    "# the array should look like the IP data (with every third day taken)\n",
+    "angle_rmm = np.arctan2(rmm[:, 1], rmm[:, 0])  # phase angles of RMM values\n",
+    "phase_rmm = np.floor((angle_rmm / np.pi + 1) * 4).astype(int)  # phase numbers\n",
+    "\n",
+    "# phase separation\n",
+    "phase_avg_map_contrib = np.zeros(\n",
+    "    (8, map_contrib.shape[1], map_contrib.shape[2]),\n",
+    "    dtype=float\n",
+    "    )\n",
+    "counter = np.zeros((8), dtype=int)\n",
+    "\n",
+    "for i in range(len(phase_rmm)):\n",
+    "    counter[phase_rmm[i]] += 1\n",
+    "    phase_avg_map_contrib[phase_rmm[i]] += map_contrib[i]  # summing over each phase\n",
+    "\n",
+    "phase_avg_map_contrib /= counter[:, np.newaxis, np.newaxis]  # averaging over each phase\n",
+    "\n",
+    "dev_map_contrib = phase_avg_map_contrib - avg_map_contrib  # deviations from the long-term means\n",
+    "# (i.e. anomalies)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb0da9ce",
+   "metadata": {},
+   "source": [
+    "## How much does the region lying between 15°S and 15°N contribute to the IP?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b2a2b2a9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "86.37%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'{np.sum(avg_map_contrib[75:-75, :]) / np.sum(avg_map_contrib[:, :]):.2%}')\n",
+    "# note that the denominator is actually nothing but 240e3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e68915d",
+   "metadata": {},
+   "source": [
+    "## Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "87d48691",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x1152 with 9 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure(figsize=(12, 16))\n",
+    "ax = [None for _ in range(8)]\n",
+    "im = [None for _ in range(8)]\n",
+    "\n",
+    "cmap = cm.get_cmap('seismic', 256) \n",
+    "clim = np.ceil(\n",
+    "    max(\n",
+    "        -np.amin(dev_map_contrib),\n",
+    "        np.amax(dev_map_contrib)\n",
+    "    ) / 10\n",
+    ") * 10  # the bound of the colour bar (a multiple of 10 V)\n",
+    "\n",
+    "for i in range(8):\n",
+    "    ax[i] = fig.add_subplot(8, 1, i+1,\n",
+    "                            projection=ccrs.PlateCarree(central_longitude=180))\n",
+    "    ax[i].coastlines('110m', linewidth=0.5)\n",
+    "    im[i] = ax[i].imshow(dev_map_contrib[i, 60:-60, :], cmap=cmap,\n",
+    "                         extent=[-180, 180, 30, -30], clim=(-clim, clim),\n",
+    "                         interpolation='none')\n",
+    "\n",
+    "    ax[i].text(0.002, 0.98, f'Phase {i+1}', ha='left', va='top',\n",
+    "               transform=ax[i].transAxes, fontsize='large')\n",
+    "\n",
+    "    ax[i].set_xlim(-180, 180)\n",
+    "    ax[i].set_ylim(-30, 30)\n",
+    "\n",
+    "    ax[i].spines['geo'].set_linewidth(0.5)\n",
+    "    ax[i].tick_params(top=True, right=True, which='both')\n",
+    "    ax[i].tick_params(length=6, width=0.5)\n",
+    "    ax[i].tick_params(length=3, width=0.5, which='minor')\n",
+    "\n",
+    "    ax[i].set_xticks(np.arange(-180, 180+1, 30))\n",
+    "    ax[i].set_xticks(np.arange(-180, 180+1, 10), minor=True)\n",
+    "    ax[i].set_xticklabels([])\n",
+    "    ax[i].set_yticks(np.arange(-30, 30+1, 30))\n",
+    "    ax[i].set_yticks(np.arange(-30, 30+1, 10), minor=True)\n",
+    "    ax[i].set_yticklabels(['30S', '0', '30N'],\n",
+    "                          fontsize='large')\n",
+    "\n",
+    "ax[7].set_xticklabels(['0', '30E', '60E', '90E', '120E', '150E', '180',\n",
+    "                       '150W', '120W', '90W', '60W', '30W', '0'],\n",
+    "                      fontsize='large')\n",
+    "\n",
+    "# the colour bar\n",
+    "cax = fig.add_axes(\n",
+    "    [ax[7].get_position().x0, ax[7].get_position().y0-0.035,\n",
+    "     ax[7].get_position().x1-ax[7].get_position().x0, 0.01])\n",
+    "cbar = fig.colorbar(im[7], cax=cax, orientation='horizontal')\n",
+    "\n",
+    "cbar.outline.set_linewidth(0.5)\n",
+    "cbar.ax.tick_params(length=6, width=0.5)\n",
+    "\n",
+    "cbar.set_ticks(np.arange(-clim, clim+1, 10))\n",
+    "cbar.ax.set_xticklabels([f'−{-x:d}' if x < 0\n",
+    "                         else f'+{x:d}' if x > 0\n",
+    "                         else f'{x:d}'\n",
+    "                         for x in np.arange(-clim, clim+1, 10).astype(int)],\n",
+    "                        fontsize='large')\n",
+    "# for some reason cbar.set_ticklabels does not work with fontsize\n",
+    "\n",
+    "cbar.set_label(('Deviation of grid cell contributions to the ionospheric '\n",
+    "                'potential from long-term means, V'), fontsize='large')\n",
+    "\n",
+    "fig.savefig('figures/map_of_contributions.png', dpi=300, bbox_inches='tight')\n",
+    "fig.savefig('figures/map_of_contributions.eps', bbox_inches='tight')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/variations_ip_pg_rmm_with_mjo_phase.ipynb b/variations_ip_pg_rmm_with_mjo_phase.ipynb
new file mode 100644
index 0000000..7d0536d
--- /dev/null
+++ b/variations_ip_pg_rmm_with_mjo_phase.ipynb
@@ -0,0 +1,999 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ac92d7c1-e5af-4f1a-b3df-1fd361073edc",
+   "metadata": {},
+   "source": [
+    "# Variations of the IP, the PG and the RMM with the MJO phase\n",
+    "Here we plot variations of various parameters with the MJO. In particular, we plot the ionospheric potential (IP), the fair-weather potential gradient (PG) and the two components of the RMM index. We also plot the sunspot number and outgoing long-wave radiation (OLR)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce2dfdec-3074-422d-b615-4f0c770c671f",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "26804089-74df-41d6-8c8e-b60af3173175",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# data processing\n",
+    "import numpy as np\n",
+    "import csv\n",
+    "\n",
+    "# plotting the data\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib.path import Path\n",
+    "from matplotlib.patches import PathPatch\n",
+    "\n",
+    "# dates\n",
+    "import datetime as dt\n",
+    "\n",
+    "# testing correlation significance\n",
+    "import scipy.stats as st"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7e68cb6-0540-4cca-b1b9-32e52321b9c4",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Loading the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "53dda0e6-8893-4ae2-82f3-c57c8550d2d8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "map_contrib = np.load('./data/DAILY-IP-MAP-V4.3.npy')\n",
+    "# original data with the shape (number of days, number of latitudes, number of longitudes)\n",
+    "# contains IP values (not normalised) depending on (d, lat, lon)\n",
+    "# d (axis 0) is the number of a day starting with 0 and ending with 4991\n",
+    "# every third day is taken, 0 corresponds to 1 Jan 1980 and 4991 corresponds to 29 Dec 2020\n",
+    "# lat (axis 1) describes the latitude (an integer in [0, 180])\n",
+    "# lon (axis 2) describes the longitude (an integer in [0, 360])\n",
+    "\n",
+    "map_contrib /= np.mean(np.sum(map_contrib, axis=(1, 2)))\n",
+    "map_contrib *= 240e3\n",
+    "# normalisation of contributions to the IP to the global mean of 240 kV\n",
+    "\n",
+    "ip = np.sum(map_contrib, axis=(1, 2))  # total IP values for different days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d663a94f-942b-4583-9179-08699c48bb4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "map_olr_source = np.load('./data/OLR_41years_NOAA.npy')\n",
+    "# original data with the shape (number of days, number of latitudes, number of longitudes)\n",
+    "# contains OLR values depending on (d, lat, lon)\n",
+    "# d (axis 0) is the number of a day starting with 0 and ending with 14976\n",
+    "# every third day is taken, 0 corresponds to 1 Jan 1980 and 14976 corresponds to 31 Dec 2020\n",
+    "# lat (axis 1) describes the latitude (an integer in [0, 180])\n",
+    "# lon (axis 2) describes the longitude (an integer in [0, 360])\n",
+    "# the data downloaded from https://psl.noaa.gov/mddb2/showDataset.html?datasetID=37\n",
+    "\n",
+    "olr_days_ind = np.flatnonzero(np.amin(map_olr_source, axis=(1, 2)) >= 0)\n",
+    "# indices of the days for which the OLR data are available\n",
+    "map_olr = np.take(map_olr_source, olr_days_ind, axis=0)\n",
+    "\n",
+    "olr = np.sum(\n",
+    "    np.mean(\n",
+    "        map_olr[:, 75:105, :], axis=2\n",
+    "    ) * (\n",
+    "        np.cos(np.arange(75, 105) * np.pi / 180) -\n",
+    "        np.cos(np.arange(76, 106) * np.pi / 180)\n",
+    "    ), axis=1\n",
+    ") / np.sum(\n",
+    "    np.cos(np.arange(75, 105) * np.pi / 180) -\n",
+    "    np.cos(np.arange(76, 106) * np.pi / 180)\n",
+    ")\n",
+    "# global means of OLR values for 15°S–15°N"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9fd8402a-3763-47d5-b510-413eb03ee3aa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "d_start = dt.date(1980, 1, 1)  # first date\n",
+    "d_end = dt.date(2021, 1, 1)  # last date\n",
+    "\n",
+    "pg = np.full(((d_end - d_start).days, 24), np.nan)\n",
+    "\n",
+    "# hourly data obtained from 10-s data\n",
+    "with open('./data/'\n",
+    "          'vostok_hourly_from_10_s_without_calibration_and_empty.tsv') as file:\n",
+    "    tsv_file = csv.reader(file, delimiter='\\t')\n",
+    "    next(tsv_file)  # skip the header\n",
+    "    for line in tsv_file:\n",
+    "        timestamp = dt.datetime.strptime(line[0], '%Y-%m-%d %H:%M:%S')\n",
+    "        pg_value = float(line[1]) / 3  # hourly PG value in V/m (3 is the form factor)\n",
+    "        if 0 < pg_value <= 300:\n",
+    "            day = (timestamp.date() - d_start).days\n",
+    "            hour = timestamp.hour\n",
+    "            pg[day, hour] = pg_value\n",
+    "            # negative PG values and PG values greater than 300 V/m are omitted\n",
+    "\n",
+    "# hourly data obtained from 5-min data\n",
+    "with open('./data/'\n",
+    "          'vostok_hourly_from_5_min_without_calibration_and_empty.tsv') as file:\n",
+    "    tsv_file = csv.reader(file, delimiter='\\t')\n",
+    "    next(tsv_file)  # skip the header\n",
+    "    for line in tsv_file:\n",
+    "        timestamp = dt.datetime.strptime(line[0], '%Y-%m-%d %H:%M:%S')\n",
+    "        pg_value = float(line[1]) / 3  # hourly PG value in V/m (3 is the form factor)\n",
+    "        day = (timestamp.date() - d_start).days\n",
+    "        hour = timestamp.hour\n",
+    "        if np.isnan(pg[day, hour]) and 0 < pg_value <= 300:\n",
+    "            pg[day, hour] = pg_value\n",
+    "            # negative PG values and PG values greater than 300 V/m are omitted\n",
+    "            # 5-min data are used only if there are no 10-s data available\n",
+    "\n",
+    "diff = (np.amax(pg, axis=1) - np.amin(pg, axis=1)) / \\\n",
+    "       np.maximum(np.mean(pg, axis=1), 1)\n",
+    "# the elementwise maximum in the denominator is taken in order to avoid division by zero\n",
+    "\n",
+    "fw_days_ind = np.flatnonzero(diff <= 1.5)\n",
+    "# indices of fair-weather days according to the criteria used\n",
+    "pg_fw = np.take(np.mean(pg, axis=1), fw_days_ind)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "dabe9bd5-2e61-48ff-b63f-cd2d0010326c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sn = np.full(((d_end - d_start).days), np.nan)  # sunspot number\n",
+    "\n",
+    "with open('./data/sunspot_number_data.csv') as file:\n",
+    "    # the file downloaded from https://www.sidc.be/silso/datafiles\n",
+    "    csv_file = csv.reader(file, delimiter=';')\n",
+    "    for line in csv_file:\n",
+    "        timestamp = dt.date(*list(map(int, line[:3])))\n",
+    "        day = (timestamp - d_start).days\n",
+    "        if day >= 0 and line[4] != -1 and timestamp.year < 2021:\n",
+    "            sn[day] = int(line[4])\n",
+    "            # only the available data for 1980–2020 are used\n",
+    "\n",
+    "sn_days_ind = np.flatnonzero(np.logical_not(np.isnan(sn)))\n",
+    "# indices of the days for which the sunspot number is available"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "c45b721f-6f09-4c8e-85ed-528bc15e02d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "assert sn.shape == sn_days_ind.shape\n",
+    "# all days are available for the sunspot number in 1980–2020"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "c61cb9c0-5ead-4abf-a725-726b35ea055f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sn_fw = np.take(sn, fw_days_ind)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa57840a-f79c-4c0a-9727-ee3233bd0594",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Averaging over MJO phases"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "e9d4adde-6492-40ee-b11b-5c47cc0e9dd9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rmm_source = np.genfromtxt('./data/rmm.txt')\n",
+    "\n",
+    "def phase_separation(rmm, val):\n",
+    "    \"\"\"\n",
+    "    Compute average values of a variable for each MJO phase.\n",
+    "    :param rmm: an array of RMM values, the shape: (number of days, 2)\n",
+    "    :param val: an array of values, the shape: (number of days)\n",
+    "    :return: average values for MJO phases, the shape: (8)\n",
+    "    :return: average square values for MJO phases, the shape: (8)\n",
+    "    :return: number of days for each phase, the shape: (8)\n",
+    "    \"\"\"\n",
+    "\n",
+    "    assert rmm.shape[0] == len(val)\n",
+    "\n",
+    "    angle_rmm = np.arctan2(rmm[:, 1], rmm[:, 0])  # phase angles of RMM values\n",
+    "    phase_rmm = np.floor((angle_rmm / np.pi + 1) * 4).astype(int)  # phase numbers\n",
+    "\n",
+    "    phase_avg_val = np.zeros((8), dtype=float)\n",
+    "    phase_avg_sqr = np.zeros((8), dtype=float)\n",
+    "    counter = np.zeros((8), dtype=int)\n",
+    "\n",
+    "    for i in range(len(phase_rmm)):  # summing over each phase\n",
+    "        counter[phase_rmm[i]] += 1\n",
+    "        phase_avg_val[phase_rmm[i]] += val[i]\n",
+    "        phase_avg_sqr[phase_rmm[i]] += val[i]**2\n",
+    "\n",
+    "    phase_avg_val /= counter\n",
+    "    phase_avg_sqr /= counter\n",
+    "    # averaging over each phase\n",
+    "\n",
+    "    return phase_avg_val, phase_avg_sqr, counter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "8f99af7a-43bf-4bd9-8535-1374a4534dc7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# phase separation for the RMM1 and RMM2\n",
+    "rmm = rmm_source[:, [3, 4]]  # RMM1 and RMM2\n",
+    "\n",
+    "phase_avg_rmm1 = phase_separation(rmm, rmm[:, 0])[0]\n",
+    "phase_avg_rmm2 = phase_separation(rmm, rmm[:, 1])[0]\n",
+    "\n",
+    "# phase separation for the IP for the whole period of 1980—2020\n",
+    "rmm = rmm_source[::3, [3, 4]]  # RMM1 and RMM2\n",
+    "# the array should look like the IP data (with every third day taken)\n",
+    "\n",
+    "phase_avg_ip, phase_avg_sqr_ip, counter_ip = phase_separation(rmm, ip)\n",
+    "\n",
+    "# phase separation for the IP for 2006–2020\n",
+    "# (when the PG data are available)\n",
+    "d_start = dt.date(1980, 1, 1)  # first date (for the IP)\n",
+    "d_pg = dt.date(2006, 1, 1)  # first date for the PG\n",
+    "ip_pg = ip[((d_pg-d_start).days + 2)//3:]\n",
+    "# the first index corresponds to the first day in 2006 for which\n",
+    "# the IP data are available\n",
+    "rmm = rmm_source[((d_pg-d_start).days + 2)//3*3::3, [3, 4]]  # RMM1 and RMM2\n",
+    "# the array should look like the IP data\n",
+    "# (with every third day taken, starting from 2006)\n",
+    "\n",
+    "phase_avg_ip_pg, phase_avg_sqr_ip_pg, counter_ip_pg = phase_separation(rmm, ip_pg)\n",
+    "\n",
+    "# phase separation for the PG\n",
+    "rmm = rmm_source[np.ix_(fw_days_ind, [3, 4])]  # RMM1 and RMM2\n",
+    "# the array should look like the PG data\n",
+    "# (with only fair-weather days retained)\n",
+    "\n",
+    "phase_avg_pg, phase_avg_sqr_pg, counter_pg = phase_separation(rmm, pg_fw)\n",
+    "\n",
+    "# phase separation for the sunspot number for 2006–2020\n",
+    "# (when the PG data are available)\n",
+    "rmm = rmm_source[np.ix_(fw_days_ind, [3, 4])]  # RMM1 and RMM2\n",
+    "# the array should look like the PG data\n",
+    "# (with only fair-weather days retained)\n",
+    "\n",
+    "phase_avg_sn, phase_avg_sqr_sn, counter_sn = phase_separation(rmm, sn_fw)\n",
+    "\n",
+    "# phase separation for OLR for 1980—2020\n",
+    "rmm = rmm_source[np.ix_(olr_days_ind, [3, 4])]  # RMM1 and RMM2\n",
+    "# the array should look like the OLR data\n",
+    "\n",
+    "phase_avg_olr, phase_avg_sqr_olr, counter_olr = phase_separation(rmm, olr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c323b584-c1f9-4299-9fba-14009f743ad6",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Averaging of partial data sets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "befd58ab-d5e8-4ebd-88e5-6e909da21585",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# phase separation for the IP for 1981–1990, 1991–2000, 2001–2010, 2011–2020\n",
+    "phase_avg_ip_part = np.zeros((4, 8), dtype=float)\n",
+    "phase_avg_sqr_ip_part = np.zeros((4, 8), dtype=float)\n",
+    "counter_ip_part = np.zeros((4, 8), dtype=int)\n",
+    "for i in range(4):\n",
+    "    d_start = dt.date(1980, 1, 1)  # first date (for the whole IP dataset)\n",
+    "    d_first = dt.date(1981 + 10*i, 1, 1)  # first date\n",
+    "    d_last = dt.date(1991 + 10*i, 1, 1)  # last date\n",
+    "    idx_first = ((d_first-d_start).days + 2)//3\n",
+    "    idx_last = ((d_last-d_start).days + 2)//3\n",
+    "    ip_part = ip[idx_first:idx_last]\n",
+    "    rmm = rmm_source[idx_first*3:idx_last*3:3, [3, 4]]\n",
+    "    # the array should look like the IP data\n",
+    "\n",
+    "    phase_avg_ip_part[i], phase_avg_sqr_ip_part[i], counter_ip_part[i] = \\\n",
+    "        phase_separation(rmm, ip_part)\n",
+    "\n",
+    "# phase separation for the PG for 2006–2015 and 2011–2020\n",
+    "phase_avg_pg_part = np.zeros((2, 8), dtype=float)\n",
+    "phase_avg_sqr_pg_part = np.zeros((2, 8), dtype=float)\n",
+    "counter_pg_part = np.zeros((2, 8), dtype=int)\n",
+    "for i in range(2):\n",
+    "    d_start = dt.date(1980, 1, 1)  # first date (for the whole IP dataset)\n",
+    "    if i == 0:\n",
+    "        d_first = dt.date(2006, 1, 1)  # first date\n",
+    "        d_last = dt.date(2016, 1, 1)  # last date\n",
+    "    else:\n",
+    "        d_first = dt.date(2011, 1, 1)  # first date\n",
+    "        d_last = dt.date(2021, 1, 1)  # last date\n",
+    "    idx_first = (d_first-d_start).days\n",
+    "    idx_last = (d_last-d_start).days\n",
+    "    fw_idx_first = np.sum(np.where(fw_days_ind < idx_first, 1, 0))\n",
+    "    fw_idx_last = np.sum(np.where(fw_days_ind < idx_last, 1, 0))\n",
+    "    pg_fw_part = pg_fw[fw_idx_first:fw_idx_last]\n",
+    "    rmm = rmm_source[np.ix_(fw_days_ind[fw_idx_first:fw_idx_last], [3, 4])]\n",
+    "    # the array should look like the PG data\n",
+    "\n",
+    "    phase_avg_pg_part[i], phase_avg_sqr_pg_part[i], counter_pg_part[i] = \\\n",
+    "        phase_separation(rmm, pg_fw_part)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de93dfa2-280f-4b7e-98b8-7da504bf7cec",
+   "metadata": {},
+   "source": [
+    "## Estimating standard errors"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "3e2b96da-d6db-429d-9f8c-8bc844718c9c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def std_error(avg_val, avg_sqr, counter):\n",
+    "    \"\"\"\n",
+    "    Estimate the standard error from the average value\n",
+    "    and the average value of the square.\n",
+    "    :param avg_val: the average value\n",
+    "    :param avg_sqr: the average square value\n",
+    "    :param counter: the size of the sample\n",
+    "    :return: the standard error\n",
+    "    \"\"\"\n",
+    "\n",
+    "    return np.sqrt((avg_sqr - avg_val**2) / (counter - 1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b9634e8-fe13-4295-b76b-e1f00be37561",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Estimating correlation coefficients"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "cbfb26db-80ae-4bd7-bb7e-8f16015adf32",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation coefficient between the IP and RMM1: 0.33046323421940305.\n",
+      "Correlation coefficient between the IP and RMM2: -0.9300119158570614.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Correlation coefficient between the IP and RMM1: '\n",
+    "      f'{np.corrcoef(phase_avg_ip, phase_avg_rmm1)[0, 1]}.')\n",
+    "print('Correlation coefficient between the IP and RMM2: '\n",
+    "      f'{np.corrcoef(phase_avg_ip, phase_avg_rmm2)[0, 1]}.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "a9648327-d770-4534-823b-733ffe35b5e4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation coefficient between the PG and RMM1: -0.6786301924889234.\n",
+      "Correlation coefficient between the PG and RMM2: -0.6688733027123144.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Correlation coefficient between the PG and RMM1: '\n",
+    "      f'{np.corrcoef(phase_avg_pg, phase_avg_rmm1)[0, 1]}.')\n",
+    "print('Correlation coefficient between the PG and RMM2: '\n",
+    "      f'{np.corrcoef(phase_avg_pg, phase_avg_rmm2)[0, 1]}.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "814e19ad-7a71-4aef-95c9-6a471db693ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation coefficient between OLR and RMM1: -0.4962456609250617.\n",
+      "Correlation coefficient between OLR and RMM2: 0.8422317866250696.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Correlation coefficient between OLR and RMM1: '\n",
+    "      f'{np.corrcoef(phase_avg_olr, phase_avg_rmm1)[0, 1]}.')\n",
+    "print('Correlation coefficient between OLR and RMM2: '\n",
+    "      f'{np.corrcoef(phase_avg_olr, phase_avg_rmm2)[0, 1]}.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "4ef049d7-9d36-461f-a837-01c00423836b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation coefficient between the IP and the PG: 0.5036181549956392.\n",
+      "Correlation coefficient between the IP and the shifted PG: 0.9019059036035604.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Correlation coefficient between the IP and the PG: '\n",
+    "      f'{np.corrcoef(phase_avg_ip_pg, phase_avg_pg)[0, 1]}.')\n",
+    "print('Correlation coefficient between the IP and the shifted PG: '\n",
+    "      f'{np.corrcoef(phase_avg_ip_pg, np.roll(phase_avg_pg, 1))[0, 1]}.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "a046c8d5-6f7c-45ba-82c2-fca9d4456c57",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Significance level: 0.01.\n",
+      "Number of points: 8.\n",
+      "Critical value (((P − 2)r^2/(1 − r^2))^(1/2)): 3.707428021324907.\n",
+      "Threshold correlation coefficient: 0.834341625597055.\n"
+     ]
+    }
+   ],
+   "source": [
+    "P = 8  # the number of points\n",
+    "a = 0.01  # significance level\n",
+    "\n",
+    "q = st.t.ppf(1 - a / 2, P - 2)\n",
+    "r = q / np.sqrt(q**2 + P - 2)\n",
+    "\n",
+    "print(f'Significance level: {a}.')\n",
+    "print(f'Number of points: {P}.')\n",
+    "print(f'Critical value (((P − 2)r^2/(1 − r^2))^(1/2)): {q}.')\n",
+    "print(f'Threshold correlation coefficient: {r}.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "d9108a37-3893-439d-a59a-c645e6ee653b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Maximum correlation coefficient between the IP and RMM is 0.987443102662834 at the angle 290°.\n",
+      "Maximum correlation coefficient between the PG and RMM is 0.9520895875523926 at the angle 225°.\n",
+      "Minimum correlation coefficient between OLR and RMM is -0.9781956110458861 at the angle 300°.\n"
+     ]
+    }
+   ],
+   "source": [
+    "ip_rmm_corr = np.corrcoef(phase_avg_ip[np.newaxis, :],\n",
+    "                          phase_avg_rmm1[np.newaxis, :] *\n",
+    "                          np.cos(np.reshape(np.arange(360), (360, 1)) * np.pi/180) +\n",
+    "                          phase_avg_rmm2[np.newaxis, :] *\n",
+    "                          np.sin(np.reshape(np.arange(360), (360, 1)) * np.pi/180))[0, 1:]\n",
+    "pg_rmm_corr = np.corrcoef(phase_avg_pg[np.newaxis, :],\n",
+    "                          phase_avg_rmm1[np.newaxis, :] *\n",
+    "                          np.cos(np.reshape(np.arange(360), (360, 1)) * np.pi/180) +\n",
+    "                          phase_avg_rmm2[np.newaxis, :] *\n",
+    "                          np.sin(np.reshape(np.arange(360), (360, 1)) * np.pi/180))[0, 1:]\n",
+    "olr_rmm_corr = np.corrcoef(phase_avg_olr[np.newaxis, :],\n",
+    "                          phase_avg_rmm1[np.newaxis, :] *\n",
+    "                          np.cos(np.reshape(np.arange(360), (360, 1)) * np.pi/180) +\n",
+    "                          phase_avg_rmm2[np.newaxis, :] *\n",
+    "                          np.sin(np.reshape(np.arange(360), (360, 1)) * np.pi/180))[0, 1:]\n",
+    "ip_rmm_angle = np.argmax(ip_rmm_corr)\n",
+    "pg_rmm_angle = np.argmax(pg_rmm_corr)\n",
+    "olr_rmm_angle = np.argmin(olr_rmm_corr)\n",
+    "print('Maximum correlation coefficient between the IP and RMM is '\n",
+    "      f'{ip_rmm_corr[ip_rmm_angle]} at the angle {ip_rmm_angle}°.')\n",
+    "print('Maximum correlation coefficient between the PG and RMM is '\n",
+    "      f'{pg_rmm_corr[pg_rmm_angle]} at the angle {pg_rmm_angle}°.')\n",
+    "print('Minimum correlation coefficient between OLR and RMM is '\n",
+    "      f'{olr_rmm_corr[olr_rmm_angle]} at the angle {olr_rmm_angle}°.')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35ab8aa1-635b-4e52-ab8e-a14b4c2f29c1",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "92ca748a-eec7-4731-8d67-2c3d138cc0c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(5, 5),\n",
+    "                       constrained_layout=False)\n",
+    "\n",
+    "for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "    ax.spines[axis].set_linewidth(0.5)\n",
+    "ax.tick_params(length=6, width=0.5)\n",
+    "\n",
+    "ax.set_xlim(-3., 3.)\n",
+    "ax.set_xticks(np.arange(-3, 4))\n",
+    "ax.set_xticklabels(f'−{-x:d}' if x < 0 else f'{x:d}'\n",
+    "                   for x in np.arange(-3, 4))\n",
+    "ax.set_xlabel('RMM1', fontsize='large')\n",
+    "ax.set_ylim(-3., 3.)\n",
+    "ax.set_yticks(np.arange(-3, 4))\n",
+    "ax.set_yticklabels(f'−{-y:d}' if y < 0 else f'{y:d}'\n",
+    "                   for y in np.arange(-3, 4))\n",
+    "ax.set_ylabel('RMM2', fontsize='large')\n",
+    "\n",
+    "ax.set_aspect(1)\n",
+    "\n",
+    "ax.axhline(color='0.', linewidth=0.5)\n",
+    "ax.axvline(color='0.', linewidth=0.5)\n",
+    "ax.plot([0, 3], [0, 3], linewidth=0.5, color='0.')\n",
+    "ax.plot([-3, 3], [3, -3], linewidth=0.5, color='0.')\n",
+    "\n",
+    "ax.plot([0, -3 / np.tan(np.pi * ip_rmm_angle/180)], [0, -3], linewidth=1.5,\n",
+    "        linestyle=(0, (5, 5)), color='coral', clip_on=False, zorder = 4)\n",
+    "ax.plot([0, -3 / np.tan(np.pi * pg_rmm_angle/180)], [0, -3], linewidth=1.5,\n",
+    "        linestyle=(0, (5, 5)), color='royalblue', clip_on=False, zorder = 4)\n",
+    "ax.plot([0, -3 / np.tan(np.pi * olr_rmm_angle/180)], [0, -3], linewidth=1.5,\n",
+    "        linestyle=(0, (5, 5)), color='teal', clip_on=False, zorder = 4)\n",
+    "\n",
+    "for i in range(8):\n",
+    "    ax.text(0.5 + 0.4 * np.cos(np.pi * (1 + i/4 + 1/8)),\n",
+    "            0.5 + 0.4 * np.sin(np.pi * (1 + i/4 + 1/8)),\n",
+    "            f'Phase {i + 1}', fontsize='large', ha='center', va='center',\n",
+    "            transform=ax.transAxes, zorder = 5,\n",
+    "            bbox=dict(edgecolor='1.', facecolor='1.', boxstyle='square, pad=0.'))\n",
+    "\n",
+    "ang = np.pi * 7/8\n",
+    "d = 0.1\n",
+    "coef = 1.5\n",
+    "th = np.arcsin(coef * d / 2)\n",
+    "P = Path.arc(-ang * 180/np.pi, ang * 180/np.pi)\n",
+    "ax.add_patch(PathPatch(P, fill=False, linewidth=0.5))\n",
+    "ax.arrow(np.cos(ang) + d * np.sin(ang - th),\n",
+    "         np.sin(ang) - d * np.cos(ang - th),\n",
+    "         -d * np.sin(ang - th),\n",
+    "         d * np.cos(ang - th),\n",
+    "         linewidth=0.5, color='0.', head_width=coef*d,\n",
+    "         head_length=coef*d, length_includes_head=True)\n",
+    "\n",
+    "fig.savefig('figures/rmm_diagram.eps', bbox_inches='tight')\n",
+    "fig.savefig('figures/rmm_diagram.png', dpi=300, bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "306b70f0-69aa-4f0a-9b7a-7cceacd0b57e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x864 with 7 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(nrows=3, ncols=2, figsize=(10, 12),\n",
+    "                       constrained_layout=False)\n",
+    "\n",
+    "for i in range(3):\n",
+    "    for j in range(2):\n",
+    "        for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "            ax[i, j].spines[axis].set_linewidth(0.5)\n",
+    "        ax[i, j].tick_params(length=6, width=0.5)\n",
+    "\n",
+    "        ax[i, j].set_xlim(0.5, 8.5)\n",
+    "        ax[i, j].set_xticks(np.arange(1, 9))\n",
+    "        ax[i, j].set_xticklabels(np.arange(1, 9).astype(int),\n",
+    "                                 fontsize='large')\n",
+    "\n",
+    "        if i == 2:\n",
+    "            ax[i, j].set_xlabel('MJO phase', fontsize='large')\n",
+    "\n",
+    "        ax[i, j].grid(color='0.8', linewidth=0.5, axis='y')\n",
+    "\n",
+    "ax1 = ax[1, 1].twinx()\n",
+    "for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "    ax1.spines[axis].set_linewidth(0.5)\n",
+    "ax1.tick_params(length=6, width=0.5)\n",
+    "ax1.grid(color='0.8', linewidth=0.5, axis='y')\n",
+    "\n",
+    "ax[0, 0].set_ylim(220, 260)\n",
+    "ax[0, 0].set_yticks(np.arange(220, 261, 10))\n",
+    "ax[0, 0].set_yticklabels([f'{y:d}' for y in np.arange(220, 261, 10)],\n",
+    "                         fontsize='large')\n",
+    "ax[0, 0].set_ylabel('Ionospheric potential, kV', fontsize='large')\n",
+    "\n",
+    "ax[0, 1].set_ylim(-2, 2)\n",
+    "ax[0, 1].set_yticks(np.arange(-2, 3, 1))\n",
+    "ax[0, 1].set_yticklabels([f'−{-y:d}' if y < 0 else f'{y:d}'\n",
+    "                          for y in np.arange(-2, 3, 1)],\n",
+    "                         fontsize='large')\n",
+    "ax[0, 1].set_ylabel('RMM1 and RMM2', fontsize='large')\n",
+    "\n",
+    "ax[1, 0].set_ylim(120, 160)\n",
+    "ax[1, 0].set_yticks(np.arange(120, 161, 10))\n",
+    "ax[1, 0].set_yticklabels([f'{y:d}' for y in np.arange(120, 161, 10)],\n",
+    "                         fontsize='large')\n",
+    "ax[1, 0].set_ylabel('Potential gradient, V/m', fontsize='large')\n",
+    "\n",
+    "ax[1, 1].set_ylim(220, 270)\n",
+    "ax[1, 1].set_yticks(np.arange(220, 271, 10))\n",
+    "ax[1, 1].set_yticklabels([f'{y:d}' for y in np.arange(220, 271, 10)],\n",
+    "                         fontsize='large')\n",
+    "ax[1, 1].set_ylabel('Ionospheric potential, kV', fontsize='large')\n",
+    "ax1.set_ylim(120, 170)\n",
+    "ax1.set_yticks(np.arange(120, 171, 10))\n",
+    "ax1.set_yticklabels([f'{y:d}' for y in np.arange(120, 171, 10)],\n",
+    "                      fontsize='large')\n",
+    "ax1.set_ylabel('Potential gradient, V/m', fontsize='large',\n",
+    "              rotation=270, va='bottom')\n",
+    "\n",
+    "ax[2, 0].set_ylim(249, 252)\n",
+    "ax[2, 0].set_yticks(np.arange(249, 253, 1))\n",
+    "ax[2, 0].set_yticklabels([f'{y:d}' for y in np.arange(249, 253, 1)],\n",
+    "                         fontsize='large')\n",
+    "ax[2, 0].set_ylabel('Mean OLR for 15° S–15° N, W/m²', fontsize='large')\n",
+    "# thin spaces after '°'\n",
+    "\n",
+    "ax[2, 1].set_ylim(30, 50)\n",
+    "ax[2, 1].set_yticks(np.arange(30, 51, 5))\n",
+    "ax[2, 1].set_yticklabels([f'{y:d}' for y in np.arange(30, 51, 5)],\n",
+    "                         fontsize='large')\n",
+    "ax[2, 1].set_ylabel('Average daily sunspot number', fontsize='large')\n",
+    "\n",
+    "for j in range(2):\n",
+    "    fig.align_ylabels([ax[i, j] for i in range(3)])\n",
+    "\n",
+    "for j in range(2):\n",
+    "    ax[0, j].text(0.02, 0.98, '1980–2020', ha='left', va='top',\n",
+    "                  transform=ax[0, j].transAxes, fontsize='large')\n",
+    "    ax[1, j].text(0.02, 0.98, '2006–2020', ha='left', va='top',\n",
+    "                  transform=ax[1, j].transAxes, fontsize='large')\n",
+    "ax[2, 0].text(0.02, 0.98, '1980–2020', ha='left', va='top',\n",
+    "                  transform=ax[2, 0].transAxes, fontsize='large')\n",
+    "ax[2, 1].text(0.02, 0.98, '2006–2020', ha='left', va='top',\n",
+    "                  transform=ax[2, 1].transAxes, fontsize='large')\n",
+    "                    \n",
+    "ax[0, 0].bar(np.arange(1, 9), phase_avg_ip / 1e3,\n",
+    "             yerr=std_error(phase_avg_ip, phase_avg_sqr_ip, counter_ip) / 1e3,\n",
+    "             width=0.6, color='coral')\n",
+    "\n",
+    "ax[0, 1].bar(np.arange(1, 9) - 0.2, phase_avg_rmm1,\n",
+    "             width=0.4, color='peru', label='RMM1')\n",
+    "ax[0, 1].bar(np.arange(1, 9) + 0.2, phase_avg_rmm2,\n",
+    "             width=0.4, color='darkgreen', label='RMM2')\n",
+    "\n",
+    "ax[1, 0].bar(np.arange(1, 9), phase_avg_pg,\n",
+    "             yerr=std_error(phase_avg_pg, phase_avg_sqr_pg, counter_pg),\n",
+    "             width=0.6, color='royalblue')\n",
+    "\n",
+    "ax[1, 1].bar(np.arange(1, 9) - 0.2, phase_avg_ip_pg / 1e3,\n",
+    "             yerr=std_error(phase_avg_ip_pg, phase_avg_sqr_ip_pg, counter_ip_pg) / 1e3,\n",
+    "             width=0.4, color='coral', label='Ionosph. potential')\n",
+    "ax1.bar(np.arange(1, 9) + 0.2, phase_avg_pg,\n",
+    "        yerr=std_error(phase_avg_pg, phase_avg_sqr_pg, counter_pg),\n",
+    "        width=0.4, color='royalblue', label='Potential gradient')\n",
+    "\n",
+    "ax[2, 0].bar(np.arange(1, 9), phase_avg_olr,\n",
+    "             yerr=std_error(phase_avg_olr, phase_avg_sqr_olr, counter_olr),\n",
+    "             width=0.6, color='teal')\n",
+    "\n",
+    "ax[2, 1].bar(np.arange(1, 9), phase_avg_sn,\n",
+    "             yerr=std_error(phase_avg_sn, phase_avg_sqr_sn, counter_sn),\n",
+    "             width=0.6, color='darkgoldenrod')\n",
+    "\n",
+    "leg = ax[0, 1].legend(fontsize='large', framealpha=1, edgecolor='0.',\n",
+    "                      ncol=2, columnspacing=1., loc='lower right', handlelength=1.5)\n",
+    "leg.get_frame().set_linewidth(0.5)\n",
+    "\n",
+    "handles, labels = [(a + b) for a, b in\n",
+    "                   zip(ax[1, 1].get_legend_handles_labels(),\n",
+    "                       ax1.get_legend_handles_labels())]\n",
+    "leg = ax1.legend(handles, labels,\n",
+    "                 fontsize='large', framealpha=1, edgecolor='0.', handlelength=1.5)\n",
+    "leg.get_frame().set_linewidth(0.5)\n",
+    "\n",
+    "for p in range(1, 9):\n",
+    "    ax[0, 0].annotate(str(counter_ip[p-1]), xy = (p, 221),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='0.')\n",
+    "    ax[1, 0].annotate(str(counter_pg[p-1]), xy = (p, 121),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='1.')\n",
+    "    ax[1, 1].annotate(str(counter_ip_pg[p-1]), xy = (p - 0.2, 221),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='medium', color='0.')\n",
+    "    ax1.annotate(str(counter_pg[p-1]), xy = (p + 0.2, 121),\n",
+    "                 ha='center', va='bottom', rotation=90,\n",
+    "                 fontsize='medium', color='1.')\n",
+    "\n",
+    "for i in range(3):\n",
+    "    for j in range(2):\n",
+    "        ax[i, j].text(-0.25, 1.05, chr(ord('a') + 2 * i + j), fontsize='x-large',\n",
+    "                      fontweight='semibold', ha='left', va='bottom',\n",
+    "                      transform=ax[i, j].transAxes)\n",
+    "\n",
+    "fig.subplots_adjust(hspace=0.25, wspace=0.3)\n",
+    "\n",
+    "fig.savefig('figures/ip_pg_rmm_variation.eps', bbox_inches='tight')\n",
+    "fig.savefig('figures/ip_pg_rmm_variation.png', dpi=300, bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "c169197e-495c-475c-9a97-3bc3ca7494b8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Largest positive IP deviation from the long-term mean: 12251.515085229592.\n",
+      "Largest negative IP deviation from the long-term mean: -11782.171890650236.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Largest positive IP deviation from the long-term mean: '\n",
+    "      f'{np.amax(phase_avg_ip) - 240e3}.')\n",
+    "print('Largest negative IP deviation from the long-term mean: '\n",
+    "      f'{np.amin(phase_avg_ip) - 240e3}.')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63796d95-d604-49d4-b4de-1174787e526b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(nrows=3, ncols=2, figsize=(10, 10.5),\n",
+    "                       constrained_layout=False)\n",
+    "\n",
+    "for i in range(3):\n",
+    "    for j in range(2):\n",
+    "        for axis in ['top', 'bottom', 'left', 'right']:\n",
+    "            ax[i, j].spines[axis].set_linewidth(0.5)\n",
+    "        ax[i, j].tick_params(length=6, width=0.5)\n",
+    "\n",
+    "        ax[i, j].set_xlim(0.5, 8.5)\n",
+    "        ax[i, j].set_xticks(np.arange(1, 9))\n",
+    "        ax[i, j].set_xticklabels(np.arange(1, 9).astype(int), fontsize='large')\n",
+    "\n",
+    "        if i == 2:\n",
+    "            ax[i, j].set_xlabel('MJO phase', fontsize='large')\n",
+    "\n",
+    "        ax[i, j].grid(color='0.8', linewidth=0.5, axis='y')\n",
+    "\n",
+    "ax[0, 0].set_ylim(210, 260)\n",
+    "ax[0, 0].set_yticks(np.arange(210, 261, 10))\n",
+    "ax[0, 0].set_yticklabels([f'{y:d}' for y in np.arange(210, 261, 10)],\n",
+    "                         fontsize='large')\n",
+    "\n",
+    "ax[0, 1].set_ylim(200, 250)\n",
+    "ax[0, 1].set_yticks(np.arange(200, 251, 10))\n",
+    "ax[0, 1].set_yticklabels([f'{y:d}' for y in np.arange(200, 251, 10)],\n",
+    "                         fontsize='large')\n",
+    "\n",
+    "ax[1, 0].set_ylim(220, 270)\n",
+    "ax[1, 0].set_yticks(np.arange(220, 271, 10))\n",
+    "ax[1, 0].set_yticklabels([f'{y:d}' for y in np.arange(220, 271, 10)],\n",
+    "                         fontsize='large')\n",
+    "\n",
+    "ax[1, 1].set_ylim(220, 270)\n",
+    "ax[1, 1].set_yticks(np.arange(220, 271, 10))\n",
+    "ax[1, 1].set_yticklabels([f'{y:d}' for y in np.arange(220, 271, 10)],\n",
+    "                         fontsize='large')\n",
+    "\n",
+    "ax[2, 0].set_ylim(120, 170)\n",
+    "ax[2, 0].set_yticks(np.arange(120, 171, 10))\n",
+    "ax[2, 0].set_yticklabels([f'{y:d}' for y in np.arange(120, 171, 10)],\n",
+    "                         fontsize='large')\n",
+    "\n",
+    "ax[2, 1].set_ylim(110, 160)\n",
+    "ax[2, 1].set_yticks(np.arange(110, 161, 10))\n",
+    "ax[2, 1].set_yticklabels([f'{y:d}' for y in np.arange(110, 161, 10)],\n",
+    "                         fontsize='large')\n",
+    "\n",
+    "for i in range(2):\n",
+    "    ax[i, 0].set_ylabel('Ionospheric potential, kV', fontsize='large')\n",
+    "ax[2, 0].set_ylabel('Potential gradient, V/m', fontsize='large')\n",
+    "\n",
+    "for j in range(2):\n",
+    "    fig.align_ylabels([ax[i, j] for i in range(3)])\n",
+    "\n",
+    "for k in range(4):\n",
+    "    ax[k // 2, k % 2].text(0.02, 0.98, f'{1981 + 10*k}–{1990 + 10*k}',\n",
+    "                           ha='left', va='top',\n",
+    "                           transform=ax[k // 2, k % 2].transAxes,\n",
+    "                           fontsize='large')\n",
+    "ax[2, 0].text(0.02, 0.98, '2006–2015', ha='left', va='top',\n",
+    "              transform=ax[2, 0].transAxes, fontsize='large')\n",
+    "ax[2, 1].text(0.02, 0.98, '2011–2020', ha='left', va='top',\n",
+    "              transform=ax[2, 1].transAxes, fontsize='large')\n",
+    "\n",
+    "for k in range(4):\n",
+    "    ax[k // 2, k % 2].bar(np.arange(1, 9), phase_avg_ip_part[k] / 1e3,\n",
+    "                          yerr=std_error(phase_avg_ip_part[k],\n",
+    "                                         phase_avg_sqr_ip_part[k],\n",
+    "                                         counter_ip_part[k]) / 1e3,\n",
+    "                          width=0.6, color='coral')\n",
+    "\n",
+    "for j in range(2):\n",
+    "    ax[2, j].bar(np.arange(1, 9), phase_avg_pg_part[j],\n",
+    "                          yerr=std_error(phase_avg_pg_part[j],\n",
+    "                                         phase_avg_sqr_pg_part[j],\n",
+    "                                         counter_pg_part[j]),\n",
+    "                          width=0.6, color='royalblue')\n",
+    "\n",
+    "for p in range(1, 9):\n",
+    "    ax[0, 0].annotate(str(counter_ip_part[0, p-1]), xy = (p, 211),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='0.')\n",
+    "    ax[0, 1].annotate(str(counter_ip_part[1, p-1]), xy = (p, 201),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='0.')\n",
+    "    ax[1, 0].annotate(str(counter_ip_part[2, p-1]), xy = (p, 221),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='0.')\n",
+    "    ax[1, 1].annotate(str(counter_ip_part[3, p-1]), xy = (p, 221),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='0.')\n",
+    "    ax[2, 0].annotate(str(counter_pg_part[0, p-1]), xy = (p, 121),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='1.')\n",
+    "    ax[2, 1].annotate(str(counter_pg_part[1, p-1]), xy = (p, 111),\n",
+    "                      ha='center', va='bottom', rotation=90,\n",
+    "                      fontsize='large', color='1.')\n",
+    "\n",
+    "for i in range(3):\n",
+    "    ax[i, 0].text(-0.25, 1.05, chr(ord('a') + 2*i), fontsize='x-large',\n",
+    "                  fontweight='semibold', ha='left', va='bottom',\n",
+    "                  transform=ax[i, 0].transAxes)\n",
+    "    ax[i, 1].text(-0.18, 1.05, chr(ord('a') + 2*i + 1), fontsize='x-large',\n",
+    "                  fontweight='semibold', ha='left', va='bottom',\n",
+    "                  transform=ax[i, 1].transAxes)\n",
+    "\n",
+    "fig.subplots_adjust(hspace=0.25, wspace=0.25)\n",
+    "\n",
+    "fig.savefig('figures/ip_pg_variation_partial.eps', bbox_inches='tight')\n",
+    "fig.savefig('figures/ip_pg_variation_partial.png', dpi=300, bbox_inches='tight')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}