Climate_projections_M2.ipynb

{
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  "metadata": {
    "colab": {
      "name": "plot 6&7 (decarb scenarios + RCP8.5/2.6 80-120%).ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "mount_file_id": "1XBK3e-Hd6u4QglmRImpeSkpBQtNgKvQr",
      "authorship_tag": "ABX9TyPt30gzCsMeI1wuvlDURY5Z",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/harrietgilmour/SIAM_FaIR/blob/main/Climate_projections_M2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Aim:** Plot of all SIAM decarb scenarios using RCP2.6 non-CO2 forcers + 80-120% each side to show the climate impact of delayed action. "
      ],
      "metadata": {
        "id": "JHXSQ-WXzpMu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#import modules that are needed.\n",
        "\n",
        "%matplotlib inline\n",
        "import numpy as np\n",
        "from matplotlib import pyplot as plt\n",
        "from scipy.stats import norm\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "LtdRLTi70Kfm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install fair"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G1UwxlAo0RN3",
        "outputId": "406b2e7d-c2cb-4b44-b0e0-c4c7d5c54342"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting fair\n",
            "  Downloading fair-1.6.4-py3-none-any.whl (3.4 MB)\n",
            "\u001b[K     |████████████████████████████████| 3.4 MB 5.4 MB/s \n",
            "\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from fair) (1.3.5)\n",
            "Requirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from fair) (1.21.6)\n",
            "Requirement already satisfied: scipy>=0.19.0 in /usr/local/lib/python3.7/dist-packages (from fair) (1.4.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from fair) (3.2.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->fair) (0.11.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->fair) (3.0.8)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->fair) (1.4.2)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->fair) (2.8.2)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from kiwisolver>=1.0.1->matplotlib->fair) (4.2.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.1->matplotlib->fair) (1.15.0)\n",
            "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas->fair) (2022.1)\n",
            "Installing collected packages: fair\n",
            "Successfully installed fair-1.6.4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import fair\n",
        "from fair.forward import fair_scm"
      ],
      "metadata": {
        "id": "NZpcejZj0T3h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# FaIR data"
      ],
      "metadata": {
        "id": "HLeMzO7t0oLP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#importing RCP/SSP data from the FaIR documentation:\n",
        "#===============================================\n",
        "\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85\n",
        "# Basic RCP runs\n",
        "C26, F26, T26 = fair.forward.fair_scm(emissions=rcp26.Emissions.emissions)\n",
        "C45, F45, T45 = fair.forward.fair_scm(emissions=rcp45.Emissions.emissions)\n",
        "C60, F60, T60 = fair.forward.fair_scm(emissions=rcp60.Emissions.emissions)\n",
        "C85, F85, T85 = fair.forward.fair_scm(emissions=rcp85.Emissions.emissions)\n",
        "\n",
        "from fair.SSPs import ssp126, ssp245, ssp370, ssp585\n",
        "# Basic RCP runs\n",
        "C126, F126, T126 = fair.forward.fair_scm(emissions=ssp126.Emissions.emissions)\n",
        "C245, F245, T245 = fair.forward.fair_scm(emissions=ssp245.Emissions.emissions)\n",
        "C370, F370, T370 = fair.forward.fair_scm(emissions=ssp370.Emissions.emissions)\n",
        "C585, F585, T585 = fair.forward.fair_scm(emissions=ssp585.Emissions.emissions)"
      ],
      "metadata": {
        "id": "7cIDHgFs0p0J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# growth-driven (using just RCP8.5 non-CO2 RF) (FOR REFERENCE)"
      ],
      "metadata": {
        "id": "BoxM9iqMTs9Q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP85_data_m_BAU.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "0u_LzONWTwPH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1TphfR8AT91k",
        "outputId": "935b14f6-76e2-4688-f861-ec745c3202d0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP6_EMISSIONS.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_data_m_BAU.csv\n",
            "RCP3PD_MIDYEAR_RADFORCING.csv\t   RCP85_EMISSIONS.csv\n",
            "RCP45_EMISSIONS.csv\t\t   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP45_MIDYEAR_CONCENTRATIONS.csv   RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP45_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp85_data_m_BAU.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "6a8uQB-zUBFr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP85 scenario with BAU emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp85_data_m_BAU\n",
        "\n",
        "C85_BAU, F85_BAU, T85_BAU = fair.forward.fair_scm(emissions=rcp85_data_m_BAU.Emissions.emissions)"
      ],
      "metadata": {
        "id": "SvjwKBu8UFUY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# D2022"
      ],
      "metadata": {
        "id": "CRv12wM50HiD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2022.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "gq0S_UZFz6fc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2022.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "oolmAAYF0XU1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with DECARB emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26_data_m_D2022\n",
        "\n",
        "C26_D2022, F26_D2022, T26_D2022 = fair.forward.fair_scm(emissions=rcp26_data_m_D2022.Emissions.emissions)\n"
      ],
      "metadata": {
        "id": "Qb7BggYN0jrj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# D2030"
      ],
      "metadata": {
        "id": "OpTbb7_r1GSP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Until 2030, D2030 emissions are most similar to RCP8.5. After 2030, they are most like RCP2.6. Therefore, the new dataset needs to include half of RCP8.5 and half of RCP2.6..."
      ],
      "metadata": {
        "id": "5LecXUJe1ztn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2030.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "sGfdidnY0lF7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fg9VuBlH79EX",
        "outputId": "3fe99005-ed48-4da2-a1b7-15753c9a5ade"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_EMISSIONS.csv\n",
            "RCP3PD_MIDYEAR_RADFORCING.csv\t   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP45_EMISSIONS.csv\t\t   RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP45_MIDYEAR_CONCENTRATIONS.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2030.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "2jaoyfoU7-6l"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2030 emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2030\n",
        "\n",
        "C26_D2030, F26_D2030, T26_D2030 = fair.forward.fair_scm(emissions=rcp26_data_m_D2030.Emissions.emissions)"
      ],
      "metadata": {
        "id": "FNkRzLos8iYT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# D2040"
      ],
      "metadata": {
        "id": "U5qDrY37-F3w"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2040.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "Beoojf_Q9auK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-5nfQXpK_3Gu",
        "outputId": "e9fb86fb-d1e2-4ffe-b54a-1a64a7982153"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_EMISSIONS.csv\n",
            "RCP3PD_MIDYEAR_RADFORCING.csv\t   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP45_EMISSIONS.csv\t\t   RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2040.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "GTP0QGOZ_4bQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2040 emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2040\n",
        "\n",
        "C26_D2040, F26_D2040, T26_D2040 = fair.forward.fair_scm(emissions=rcp26_data_m_D2040.Emissions.emissions)"
      ],
      "metadata": {
        "id": "lhGT2__yAeGU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# D2050"
      ],
      "metadata": {
        "id": "-IaH7PTgAn9D"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2050.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "bV8D8fZjAlpm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FnjKDwGBB_ZV",
        "outputId": "3560eaff-1d2c-4a2f-c4c3-b36ce5dfb22e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_EMISSIONS.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_MIDYEAR_RADFORCING.csv\t   RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP45_EMISSIONS.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2050.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "fEeQVHNbCB-y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2050\n",
        "\n",
        "C26_D2050, F26_D2050, T26_D2050 = fair.forward.fair_scm(emissions=rcp26_data_m_D2050.Emissions.emissions)"
      ],
      "metadata": {
        "id": "E4iAbIZBCFat"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Plot #1"
      ],
      "metadata": {
        "id": "jmrI0OZ4CntQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=[16,10])\n",
        "plt.suptitle('Climate projections of SIAM scenarios',size=16,weight='bold',y=0.93)\n",
        "ax1 = fig.add_subplot(221)\n",
        "ax2 = fig.add_subplot(222)\n",
        "ax3 = fig.add_subplot(223)\n",
        "ax4 = fig.add_subplot(224)\n",
        "\n",
        "ax1.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax2.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax3.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax4.tick_params(axis='both', which='major', labelsize=13)\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2022 emissions\n",
        "ax1.plot(rcp26_data_m_D2022.Emissions.year[215:336], rcp26_data_m_D2022.Emissions.co2_fossil[215:336], color='green',label='D2022')\n",
        "ax2.plot(rcp26_data_m_D2022.Emissions.year[215:336], C26_D2022[:, 0][215:336], color='green',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2022.Emissions.year[215:336], np.sum(F26_D2022, axis=1)[215:336], color='green',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2022.Emissions.year[215:336], T26_D2022[215:336], color='green',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2030 emissions\n",
        "ax1.plot(rcp26_data_m_D2030.Emissions.year[215:336], rcp26_data_m_D2030.Emissions.co2_fossil[215:336], color='blue',label='D2030')\n",
        "ax2.plot(rcp26_data_m_D2030.Emissions.year[215:336], C26_D2030[:, 0][215:336], color='blue',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2030.Emissions.year[215:336], np.sum(F26_D2030, axis=1)[215:336], color='blue',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2030.Emissions.year[215:336], T26_D2030[215:336], color='blue',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2040 emissions\n",
        "ax1.plot(rcp26_data_m_D2040.Emissions.year[215:336], rcp26_data_m_D2040.Emissions.co2_fossil[215:336], color='red',label='D2040')\n",
        "ax2.plot(rcp26_data_m_D2040.Emissions.year[215:336], C26_D2040[:, 0][215:336], color='red',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2040.Emissions.year[215:336], np.sum(F26_D2040, axis=1)[215:336], color='red',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2040.Emissions.year[215:336], T26_D2040[215:336], color='red',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2050 emissions\n",
        "ax1.plot(rcp26_data_m_D2050.Emissions.year[215:336], rcp26_data_m_D2050.Emissions.co2_fossil[215:336], color='k',label='D2050')\n",
        "ax2.plot(rcp26_data_m_D2050.Emissions.year[215:336], C26_D2050[:, 0][215:336], color='k',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2050.Emissions.year[215:336], np.sum(F26_D2050, axis=1)[215:336], color='k',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2050.Emissions.year[215:336], T26_D2050[215:336], color='k',linestyle='dashed')\n",
        "\n",
        "#limits\n",
        "ax1.set_xlim(1980,2100)\n",
        "ax2.set_xlim(1980,2100)\n",
        "ax3.set_xlim(1980,2100)\n",
        "ax4.set_xlim(1980,2100)\n",
        "\n",
        "#uncertainty lines\n",
        "#ax3.axvline(x=2100,ymin=0.75,ymax=0.94,color='k',linewidth=4)\n",
        "\n",
        "#labelling\n",
        "ax1.set_ylabel('Fossil CO$_2$ Emissions (GtC)')\n",
        "ax1.legend()\n",
        "ax2.set_ylabel('CO$_2$ concentrations (ppm)')\n",
        "ax3.set_ylabel('Total radiative forcing (W m$^{-2}$)')\n",
        "ax4.set_ylabel('Temperature anomaly (K)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 592
        },
        "id": "_pjQCZUYCKTf",
        "outputId": "8e262041-3c74-492a-f3fc-7a1d1948dc77"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x720 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# D75%"
      ],
      "metadata": {
        "id": "uL-UcGfxCuXg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D75p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "ySLqGqiKtyOv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cwNDavesytuX",
        "outputId": "db0481fc-5f81-4f1d-ccd0-eb5a2f60ebd2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP45_EMISSIONS.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2050.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D75p.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_EMISSIONS.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_MIDYEAR_RADFORCING.csv\t   RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D75p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "1BD2Rzvyyzji"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D75p\n",
        "\n",
        "C26_D75p, F26_D75p, T26_D75p = fair.forward.fair_scm(emissions=rcp26_data_m_D75p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "yyGjNLuQy27u"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# D50%"
      ],
      "metadata": {
        "id": "XlCUiugzwA--"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D50p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "Uhx3zgzLy-JW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wk_DCxkQ25TV",
        "outputId": "316f403e-dbbb-4524-90c9-e323a256cea7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP45_EMISSIONS.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2050.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D50p.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D75p.csv\t\t   RCP85_EMISSIONS.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP3PD_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D50p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "l9CdtfXV28-R"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 emissions from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D50p\n",
        "\n",
        "C26_D50p, F26_D50p, T26_D50p = fair.forward.fair_scm(emissions=rcp26_data_m_D50p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "DYE6JJp22_qW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 80%-120% of D2022"
      ],
      "metadata": {
        "id": "aTquF3k45EYN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2022_80p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "rmWM6f8L4pYS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ordw9uq68DRC",
        "outputId": "68904e94-817b-422c-e6b8-7ec093fe6d26"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv\t   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2050.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D50p.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D75p.csv\t\t   RCP85_EMISSIONS.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv  RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2022_80p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "gdczhmVx8F7u"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (80%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2022_80p\n",
        "\n",
        "C26_D2022_80p, F26_D2022_80p, T26_D2022_80p = fair.forward.fair_scm(emissions=rcp26_data_m_D2022_80p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "LueV5Pcs8JhS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2022_120p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "kzh497Ae81x3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BY2czL8A-zQ4",
        "outputId": "7af54815-d8a7-4927-a590-cc590063528b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t\t   RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "fossilCH4_fraction.csv\t\t   RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_120p.csv\t   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv\t   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022.csv\t\t   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t\t   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040.csv\t\t   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050.csv\t\t   RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D50p.csv\t\t   RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D75p.csv\t\t   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_EMISSIONS.csv\t\t   RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2022_120p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "l96xJ10F-0gN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (120%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2022_120p\n",
        "\n",
        "C26_D2022_120p, F26_D2022_120p, T26_D2022_120p = fair.forward.fair_scm(emissions=rcp26_data_m_D2022_120p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "wLsKptyv-3tN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 80%-120% D2030"
      ],
      "metadata": {
        "id": "2Zu_0778B31z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2030_80p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "RIkHk2yV_Xcm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RbKNohzAB8M8",
        "outputId": "ac34670d-e512-4111-e613-926593f377e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "fossilCH4_fraction.csv\t     RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D75p.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP3PD_EMISSIONS.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2030_80p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "8GbDZfS5B94v"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (80%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2030_80p\n",
        "\n",
        "C26_D2030_80p, F26_D2030_80p, T26_D2030_80p = fair.forward.fair_scm(emissions=rcp26_data_m_D2030_80p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "-nsWZpzRCIgf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2030_120p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "l5NOO8Z9CPJH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xy-uQDTwDJct",
        "outputId": "401959b1-d67b-4f0e-dab6-5191297e0f5f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "fossilCH4_fraction.csv\t     RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D75p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP3PD_EMISSIONS.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2030_120p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "_r89scluDLI7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (120%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2030_120p\n",
        "\n",
        "C26_D2030_120p, F26_D2030_120p, T26_D2030_120p = fair.forward.fair_scm(emissions=rcp26_data_m_D2030_120p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "vgmr3jtWDNw3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 80%-120% D2040"
      ],
      "metadata": {
        "id": "WgJv1OMEDV5m"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2040_80p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "H94QCu_QDT-O"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4NN8KHa7gDi4",
        "outputId": "f076f0bb-3f22-4fb2-e21b-7edf23c7eed0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP3PD_EMISSIONS.csv\n",
            "fossilCH4_fraction.csv\t     RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D75p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2040_80p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "bIsxDVj3gI3w"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (80%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2040_80p\n",
        "\n",
        "C26_D2040_80p, F26_D2040_80p, T26_D2040_80p = fair.forward.fair_scm(emissions=rcp26_data_m_D2040_80p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "KHkjLeE5gNaJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2040_120p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "qmYoudrzgcq_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S9pGAV5shkVk",
        "outputId": "73ac5ad5-0e31-45ee-c0d7-51885d047ed3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP3PD_EMISSIONS.csv\n",
            "fossilCH4_fraction.csv\t     RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D75p.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2040_120p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "z27uvOSjhlzZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (120%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2040_120p\n",
        "\n",
        "C26_D2040_120p, F26_D2040_120p, T26_D2040_120p = fair.forward.fair_scm(emissions=rcp26_data_m_D2040_120p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "7Gkjo3qHhplA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 80%-120% D2050"
      ],
      "metadata": {
        "id": "X5nxzXxNh1GF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2050_80p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "iRQ5he3ehvSd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t5NJjCXfi-r-",
        "outputId": "6ae9d4ee-7e6a-4562-88be-5592d029e3b3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP26_data_m_D75p.csv\n",
            "fossilCH4_fraction.csv\t     RCP3PD_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050_80p.csv   RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2050_80p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "J2qjNzFJjAWP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (80%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2050_80p\n",
        "\n",
        "C26_D2050_80p, F26_D2050_80p, T26_D2050_80p = fair.forward.fair_scm(emissions=rcp26_data_m_D2050_80p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "aHJpOjE_jDau"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D2050_120p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "cB0-TxmLjH9T"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QB3EsHDOkJLi",
        "outputId": "0dc58450-b17f-42ed-dfb2-1fa92e179eaa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP26_data_m_D75p.csv\n",
            "fossilCH4_fraction.csv\t     RCP3PD_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050_120p.csv  RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D2050_80p.csv   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D50p.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D2050_120p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/"
      ],
      "metadata": {
        "id": "irGIMlqlkK5r"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (120%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D2050_120p\n",
        "\n",
        "C26_D2050_120p, F26_D2050_120p, T26_D2050_120p = fair.forward.fair_scm(emissions=rcp26_data_m_D2050_120p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "8neuzLrvkTZ9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Plot #2"
      ],
      "metadata": {
        "id": "yidNPCT-o1tn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=[16,10])\n",
        "plt.suptitle('Climate projections of delayed SIAM scenarios',size=16,weight='bold',y=0.93)\n",
        "ax1 = fig.add_subplot(221)\n",
        "ax2 = fig.add_subplot(222)\n",
        "ax3 = fig.add_subplot(223)\n",
        "ax4 = fig.add_subplot(224)\n",
        "\n",
        "ax1.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax2.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax3.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax4.tick_params(axis='both', which='major', labelsize=13)\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2022 emissions\n",
        "ax1.plot(rcp26_data_m_D2022.Emissions.year[215:336], rcp26_data_m_D2022.Emissions.co2_fossil[215:336], color='green',label='D2022')\n",
        "ax2.plot(rcp26_data_m_D2022.Emissions.year[215:336], C26_D2022[:, 0][215:336], color='green',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2022.Emissions.year[215:336], np.sum(F26_D2022, axis=1)[215:336], color='green',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2022.Emissions.year[215:336], T26_D2022[215:336], color='green',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2030 emissions\n",
        "ax1.plot(rcp26_data_m_D2030.Emissions.year[215:336], rcp26_data_m_D2030.Emissions.co2_fossil[215:336], color='blue',label='D2030')\n",
        "ax2.plot(rcp26_data_m_D2030.Emissions.year[215:336], C26_D2030[:, 0][215:336], color='blue',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2030.Emissions.year[215:336], np.sum(F26_D2030, axis=1)[215:336], color='blue',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2030.Emissions.year[215:336], T26_D2030[215:336], color='blue',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2040 emissions\n",
        "ax1.plot(rcp26_data_m_D2040.Emissions.year[215:336], rcp26_data_m_D2040.Emissions.co2_fossil[215:336], color='red',label='D2040')\n",
        "ax2.plot(rcp26_data_m_D2040.Emissions.year[215:336], C26_D2040[:, 0][215:336], color='red',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2040.Emissions.year[215:336], np.sum(F26_D2040, axis=1)[215:336], color='red',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2040.Emissions.year[215:336], T26_D2040[215:336], color='red',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2050 emissions\n",
        "ax1.plot(rcp26_data_m_D2050.Emissions.year[215:336], rcp26_data_m_D2050.Emissions.co2_fossil[215:336], color='k',label='D2050')\n",
        "ax2.plot(rcp26_data_m_D2050.Emissions.year[215:336], C26_D2050[:, 0][215:336], color='k',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2050.Emissions.year[215:336], np.sum(F26_D2050, axis=1)[215:336], color='k',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2050.Emissions.year[215:336], T26_D2050[215:336], color='k',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D75p emissions\n",
        "#ax1.plot(rcp26_data_m_D75p.Emissions.year[215:336], rcp26_data_m_D75p.Emissions.co2_fossil[215:336], color='purple',label='D75%')\n",
        "#ax2.plot(rcp26_data_m_D75p.Emissions.year[215:336], C26_D75p[:, 0][215:336], color='purple',linestyle='dashed')\n",
        "#ax3.plot(rcp26_data_m_D75p.Emissions.year[215:336], np.sum(F26_D75p, axis=1)[215:336], color='purple',linestyle='dashed')\n",
        "#ax4.plot(rcp26_data_m_D75p.Emissions.year[215:336], T26_D75p[215:336], color='purple',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D50p emissions\n",
        "#ax1.plot(rcp26_data_m_D50p.Emissions.year[215:336], rcp26_data_m_D50p.Emissions.co2_fossil[215:336], color='orange',label='D50%')\n",
        "#ax2.plot(rcp26_data_m_D50p.Emissions.year[215:336], C26_D50p[:, 0][215:336], color='orange',linestyle='dashed')\n",
        "#ax3.plot(rcp26_data_m_D50p.Emissions.year[215:336], np.sum(F26_D50p, axis=1)[215:336], color='orange',linestyle='dashed')\n",
        "#ax4.plot(rcp26_data_m_D50p.Emissions.year[215:336], T26_D50p[215:336], color='orange',linestyle='dashed')\n",
        "\n",
        "#-------------------------------------------------------------------\n",
        "\n",
        "#80-120% D2022\n",
        "ax2.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], C26_D2022_80p[:, 0][257:336], C26_D2022_120p[:, 0][257:336],color='green',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], np.sum(F26_D2022_80p, axis=1)[257:336], np.sum(F26_D2022_120p, axis=1)[257:336],color='green',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022_80p[257:336], T26_D2022_120p[257:336], color='green',alpha=0.3)\n",
        "\n",
        "#80-120% D2030\n",
        "ax2.fill_between(rcp26_data_m_D2030.Emissions.year[257:336], C26_D2030_80p[:, 0][257:336], C26_D2030_120p[:, 0][257:336],color='blue',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D2030.Emissions.year[257:336], np.sum(F26_D2030_80p, axis=1)[257:336], np.sum(F26_D2030_120p, axis=1)[257:336],color='blue',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D2030.Emissions.year[257:336], T26_D2030_80p[257:336], T26_D2030_120p[257:336], color='blue',alpha=0.3)\n",
        "\n",
        "#80-120% D2040\n",
        "ax2.fill_between(rcp26_data_m_D2040.Emissions.year[257:336], C26_D2040_80p[:, 0][257:336], C26_D2040_120p[:, 0][257:336],color='red',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D2040.Emissions.year[257:336], np.sum(F26_D2040_80p, axis=1)[257:336], np.sum(F26_D2040_120p, axis=1)[257:336],color='red',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D2040.Emissions.year[257:336], T26_D2040_80p[257:336], T26_D2040_120p[257:336], color='red',alpha=0.3)\n",
        "\n",
        "#80-120% D2050\n",
        "ax2.fill_between(rcp26_data_m_D2050.Emissions.year[257:336], C26_D2050_80p[:, 0][257:336], C26_D2050_120p[:, 0][257:336],color='k',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D2050.Emissions.year[257:336], np.sum(F26_D2050_80p, axis=1)[257:336], np.sum(F26_D2050_120p, axis=1)[257:336],color='k',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D2050.Emissions.year[257:336], T26_D2050_80p[257:336], T26_D2050_120p[257:336], color='k',alpha=0.3)\n",
        "\n",
        "#------------------------------------------------------------------------------------------\n",
        "\n",
        "#limits\n",
        "ax1.set_xlim(1980,2100)\n",
        "ax2.set_xlim(1980,2100)\n",
        "ax3.set_xlim(1980,2100)\n",
        "ax4.set_xlim(1980,2100)\n",
        "\n",
        "#labelling\n",
        "ax2.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax3.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax4.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax2.text(2022,550,'2022',color='grey',fontsize=13)\n",
        "ax1.set_ylabel('Fossil CO$_2$ Emissions (GtC)',fontsize=14)\n",
        "ax1.legend(fontsize=13)\n",
        "ax2.set_ylabel('CO$_2$ concentrations (ppm)',fontsize=14)\n",
        "ax3.set_ylabel('Total radiative forcing (W m$^{-2}$)',fontsize=14)\n",
        "ax4.set_ylabel('Temperature anomaly (K)',fontsize=14);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 589
        },
        "id": "L_B98xevkZdW",
        "outputId": "d166b4fa-a77c-4e7b-97c5-2fd80fc5b298"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x720 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 80%-120% D75%"
      ],
      "metadata": {
        "id": "51F_m8YKpKgh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D75p_80p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "vHhDq4sXq4Mj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0mUL7oOU7X-v",
        "outputId": "d3f59c19-5dd4-4d72-fadd-8bc60c583c85"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP26_data_m_D75p_80p.csv\n",
            "fossilCH4_fraction.csv\t     RCP26_data_m_D75p.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP3PD_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050_120p.csv  RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050_80p.csv   RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D75p_80p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "MsKalbNI7aIv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (80%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D75p_80p\n",
        "\n",
        "C26_D75p_80p, F26_D75p_80p, T26_D75p_80p = fair.forward.fair_scm(emissions=rcp26_data_m_D75p_80p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "MMb81a4b7eOt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D75p_120p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "J4wVkjOQ7nNz"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5K6OhChP8hIx",
        "outputId": "39936d6d-ce3a-489f-d20d-21108225bc24"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP26_data_m_D75p_80p.csv\n",
            "fossilCH4_fraction.csv\t     RCP26_data_m_D75p.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP3PD_EMISSIONS.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050_120p.csv  RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050_80p.csv   RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D75p_120p.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D75p_120p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "BuLsGN_q8jqb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (120%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D75p_120p\n",
        "\n",
        "C26_D75p_120p, F26_D75p_120p, T26_D75p_120p = fair.forward.fair_scm(emissions=rcp26_data_m_D75p_120p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "tKumJRFO8okA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 80%-120% D50%"
      ],
      "metadata": {
        "id": "YEJ47_4S8yVP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D50p_80p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "yO_U_rJ58wGn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Ejk8Opf-MgD",
        "outputId": "de2f103a-b810-41cd-83ba-8a76a2f2d656"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP26_data_m_D75p_120p.csv\n",
            "fossilCH4_fraction.csv\t     RCP26_data_m_D75p_80p.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP26_data_m_D75p.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP3PD_EMISSIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2050_120p.csv  RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050_80p.csv   RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D50p_80p.csv    RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D50p.csv\t     RCP85_MIDYEAR_RADFORCING.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D50p_80p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "tmyust8t-Omh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (80%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D50p_80p\n",
        "\n",
        "C26_D50p_80p, F26_D50p_80p, T26_D50p_80p = fair.forward.fair_scm(emissions=rcp26_data_m_D50p_80p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "f8RwOxc4-RLE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#now I need to move the modified RCP emissions data back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/RCP26_data_m_D50p_120p.csv /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/\n"
      ],
      "metadata": {
        "id": "w1vpR4gU-XQn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#using the 'ls' function to check that the modified file in now within colab\n",
        "\n",
        "!ls /usr/local/lib/python3.7/dist-packages/fair/RCPs/data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GeWeDUr8_XvD",
        "outputId": "7a718c7c-3a46-4e73-cd8a-b461162210fc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "aviNOx_fraction.csv\t     RCP26_data_m_D75p_120p.csv\n",
            "fossilCH4_fraction.csv\t     RCP26_data_m_D75p_80p.csv\n",
            "RCP26_data_m_D2022_120p.csv  RCP26_data_m_D75p.csv\n",
            "RCP26_data_m_D2022_80p.csv   RCP3PD_EMISSIONS.csv\n",
            "RCP26_data_m_D2022.csv\t     RCP3PD_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2030_120p.csv  RCP3PD_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2030_80p.csv   RCP45_EMISSIONS.csv\n",
            "RCP26_data_m_D2030.csv\t     RCP45_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2040_120p.csv  RCP45_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2040_80p.csv   RCP6_EMISSIONS.csv\n",
            "RCP26_data_m_D2040.csv\t     RCP6_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D2050_120p.csv  RCP6_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D2050_80p.csv   RCP85_data_m_BAU.csv\n",
            "RCP26_data_m_D2050.csv\t     RCP85_EMISSIONS.csv\n",
            "RCP26_data_m_D50p_120p.csv   RCP85_MIDYEAR_CONCENTRATIONS.csv\n",
            "RCP26_data_m_D50p_80p.csv    RCP85_MIDYEAR_RADFORCING.csv\n",
            "RCP26_data_m_D50p.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#now I will go into that file in my drive and modify it to add the emissions file into the code\n",
        "#once that is done, I can copy that file back to colab\n",
        "\n",
        "!cp /content/drive/MyDrive/Diss_Code/rcp26_data_m_D50p_120p.py /usr/local/lib/python3.7/dist-packages/fair/RCPs/\n"
      ],
      "metadata": {
        "id": "B0QuqIEk_ZGc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#adding C, T, F values for the modified RCP26 scenario with D2022 (120%) from SIAM\n",
        "from fair.forward import fair_scm\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85 ,rcp26_data_m_D50p_120p\n",
        "\n",
        "C26_D50p_120p, F26_D50p_120p, T26_D50p_120p = fair.forward.fair_scm(emissions=rcp26_data_m_D50p_120p.Emissions.emissions)"
      ],
      "metadata": {
        "id": "JPim6NHT_cOS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Plot #3 & 4"
      ],
      "metadata": {
        "id": "CoS5D6Kd_rLJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=[16,10])\n",
        "plt.suptitle('Climate projections of percentage SIAM scenarios',size=16,weight='bold',y=0.93)\n",
        "ax1 = fig.add_subplot(221)\n",
        "ax2 = fig.add_subplot(222)\n",
        "ax3 = fig.add_subplot(223)\n",
        "ax4 = fig.add_subplot(224)\n",
        "\n",
        "ax1.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax2.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax3.tick_params(axis='both', which='major', labelsize=13)\n",
        "ax4.tick_params(axis='both', which='major', labelsize=13)\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D2022 emissions\n",
        "ax1.plot(rcp26_data_m_D2022.Emissions.year[215:336], rcp26_data_m_D2022.Emissions.co2_fossil[215:336], color='green',label='D2022')\n",
        "ax2.plot(rcp26_data_m_D2022.Emissions.year[215:336], C26_D2022[:, 0][215:336], color='green',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D2022.Emissions.year[215:336], np.sum(F26_D2022, axis=1)[215:336], color='green',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D2022.Emissions.year[215:336], T26_D2022[215:336], color='green',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D75p emissions\n",
        "ax1.plot(rcp26_data_m_D75p.Emissions.year[215:336], rcp26_data_m_D75p.Emissions.co2_fossil[215:336], color='purple',label='D75%')\n",
        "ax2.plot(rcp26_data_m_D75p.Emissions.year[215:336], C26_D75p[:, 0][215:336], color='purple',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D75p.Emissions.year[215:336], np.sum(F26_D75p, axis=1)[215:336], color='purple',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D75p.Emissions.year[215:336], T26_D75p[215:336], color='purple',linestyle='dashed')\n",
        "\n",
        "#this section is my modified RCP26 scenario with the SIAM D50p emissions\n",
        "ax1.plot(rcp26_data_m_D50p.Emissions.year[215:336], rcp26_data_m_D50p.Emissions.co2_fossil[215:336], color='orange',label='D50%')\n",
        "ax2.plot(rcp26_data_m_D50p.Emissions.year[215:336], C26_D50p[:, 0][215:336], color='orange',linestyle='dashed')\n",
        "ax3.plot(rcp26_data_m_D50p.Emissions.year[215:336], np.sum(F26_D50p, axis=1)[215:336], color='orange',linestyle='dashed')\n",
        "ax4.plot(rcp26_data_m_D50p.Emissions.year[215:336], T26_D50p[215:336], color='orange',linestyle='dashed')\n",
        "\n",
        "#--------------------------------------------------\n",
        "\n",
        "#80-120% D2022\n",
        "ax2.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], C26_D2022_80p[:, 0][257:336], C26_D2022_120p[:, 0][257:336],color='green',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], np.sum(F26_D2022_80p, axis=1)[257:336], np.sum(F26_D2022_120p, axis=1)[257:336],color='green',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022_80p[257:336], T26_D2022_120p[257:336], color='green',alpha=0.3)\n",
        "\n",
        "#80-120% D75%\n",
        "ax2.fill_between(rcp26_data_m_D75p.Emissions.year[257:336], C26_D75p_80p[:, 0][257:336], C26_D75p_120p[:, 0][257:336],color='purple',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D75p.Emissions.year[257:336], np.sum(F26_D75p_80p, axis=1)[257:336], np.sum(F26_D75p_120p, axis=1)[257:336],color='purple',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D75p.Emissions.year[257:336], T26_D75p_80p[257:336], T26_D75p_120p[257:336], color='purple',alpha=0.3)\n",
        "\n",
        "#80-120% D50%\n",
        "ax2.fill_between(rcp26_data_m_D50p.Emissions.year[257:336], C26_D50p_80p[:, 0][257:336], C26_D50p_120p[:, 0][257:336],color='orange',alpha=0.3)\n",
        "ax3.fill_between(rcp26_data_m_D50p.Emissions.year[257:336], np.sum(F26_D50p_80p, axis=1)[257:336], np.sum(F26_D50p_120p, axis=1)[257:336],color='orange',alpha=0.3)\n",
        "ax4.fill_between(rcp26_data_m_D50p.Emissions.year[257:336], T26_D50p_80p[257:336], T26_D50p_120p[257:336], color='orange',alpha=0.3)\n",
        "\n",
        "#limits\n",
        "ax1.set_xlim(1980,2100)\n",
        "ax2.set_xlim(1980,2100)\n",
        "ax3.set_xlim(1980,2100)\n",
        "ax4.set_xlim(1980,2100)\n",
        "\n",
        "#labelling\n",
        "ax1.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax2.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax3.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax4.axvline(x=2022,color='grey',alpha=0.5)\n",
        "ax1.text(2022,25,'2022',color='grey')\n",
        "ax1.set_ylabel('Fossil CO$_2$ Emissions (GtC)',fontsize=14)\n",
        "ax1.legend(fontsize=13)\n",
        "ax2.set_ylabel('CO$_2$ concentrations (ppm)',fontsize=14)\n",
        "ax3.set_ylabel('Total radiative forcing (W m$^{-2}$)',fontsize=14)\n",
        "ax4.set_ylabel('Temperature anomaly (K)',fontsize=14);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 589
        },
        "id": "v4hqz4UW_g3y",
        "outputId": "0d3840bf-a139-42c6-e4d7-9197d753a945"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x720 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "GISS = pd.read_csv('/content/drive/MyDrive/Year 4/dissertation/GISS_surface_temp_data.csv',header=1)"
      ],
      "metadata": {
        "id": "6ebKIFAeMBw8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=[16, 7])\n",
        "plt.suptitle('SIAM temperature pathways schematic',size=20,weight='bold',x=0.5,y=0.95)\n",
        "\n",
        "spec = fig.add_gridspec(1,2)\n",
        "\n",
        "ax1 = fig.add_subplot(spec[0, 0])\n",
        "ax2 = fig.add_subplot(spec[0, 1])\n",
        "\n",
        "ax1.tick_params(axis='both', which='major', labelsize=14)\n",
        "ax2.tick_params(axis='both', which='major', labelsize=14)\n",
        "\n",
        "#delayed decarbonisation\n",
        "ax1.plot(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022[257:336], color='green',label='D2022')\n",
        "ax1.plot(rcp26_data_m_D2030.Emissions.year[257:336], T26_D2030[257:336], color='blue',label='D2030')\n",
        "ax1.plot(rcp26_data_m_D2040.Emissions.year[257:336], T26_D2040[257:336], color='red',label='D2040')\n",
        "ax1.plot(rcp26_data_m_D2050.Emissions.year[257:336], T26_D2050[257:336], color='k',label='D2050')\n",
        "ax1.plot(rcp85_data_m_BAU.Emissions.year[257:336], T85_BAU[257:336], color='k',label='GD',linestyle='dashed',alpha=0.6)\n",
        "ax1.plot(GISS['Year'],GISS['No_Smoothing']+0.31,color='k',marker='s',markersize=3.5,label='GISS Annual Mean')\n",
        "\n",
        "ax1.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022_80p[257:336], T26_D2022_120p[257:336], color='green',alpha=0.3)\n",
        "ax1.fill_between(rcp26_data_m_D2030.Emissions.year[257:336], T26_D2030_80p[257:336], T26_D2030_120p[257:336], color='blue',alpha=0.3)\n",
        "ax1.fill_between(rcp26_data_m_D2040.Emissions.year[257:336], T26_D2040_80p[257:336], T26_D2040_120p[257:336], color='red',alpha=0.3)\n",
        "ax1.fill_between(rcp26_data_m_D2050.Emissions.year[257:336], T26_D2050_80p[257:336], T26_D2050_120p[257:336], color='k',alpha=0.3)\n",
        "\n",
        "#percentage decarbonisation\n",
        "ax2.plot(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022[257:336], color='green',label='D2022')\n",
        "ax2.plot(rcp26_data_m_D75p.Emissions.year[257:336], T26_D75p[257:336], color='purple',label='D75%')\n",
        "ax2.plot(rcp26_data_m_D50p.Emissions.year[257:336], T26_D50p[257:336], color='orange',label='D50%')\n",
        "ax2.plot(rcp85_data_m_BAU.Emissions.year[257:336], T85_BAU[257:336], color='k',label='GD',linestyle='dashed',alpha=0.6)\n",
        "ax2.plot(GISS['Year'],GISS['No_Smoothing']+0.31,color='k',marker='s',markersize=3.5,label='GISS Annual Mean')\n",
        "\n",
        "\n",
        "ax2.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022_80p[257:336], T26_D2022_120p[257:336], color='green',alpha=0.3)\n",
        "ax2.fill_between(rcp26_data_m_D75p.Emissions.year[257:336], T26_D75p_80p[257:336], T26_D75p_120p[257:336], color='purple',alpha=0.3)\n",
        "ax2.fill_between(rcp26_data_m_D50p.Emissions.year[257:336], T26_D50p_80p[257:336], T26_D50p_120p[257:336], color='orange',alpha=0.3)\n",
        "\n",
        "\n",
        "#limits\n",
        "ax1.set_xlim(1980,2100)\n",
        "ax2.set_xlim(1980,2100)\n",
        "ax1.set_ylim(0.3,3.6)\n",
        "ax2.set_ylim(0.3,3.6)\n",
        "\n",
        "#labelling\n",
        "ax1.legend(loc='lower right',fontsize=12)\n",
        "ax1.set_ylabel('Warming reltaive to pre-industrial ($^\\circ$C)',fontsize=17)\n",
        "ax1.text(1982,3.4,'a) Delayed decarbonisation',color='k',weight='bold',fontsize=15)\n",
        "ax2.legend(loc='best',fontsize=13)\n",
        "ax2.axvline(x=2022,color='grey',alpha=0.5,linestyle='dotted')\n",
        "ax2.text(2022,2.25,'2022',color='grey',fontsize=13)\n",
        "ax2.text(1982,3.4,'b) Percentage decarbonisation',color='k',weight='bold',fontsize=15)\n",
        "\n",
        "#lines\n",
        "ax1.vlines(x=2022,ymin=0,ymax=1.33,color='green',linestyle='dotted',alpha=0.5)\n",
        "ax1.vlines(x=2030,ymin=0,ymax=1.551,color='blue',linestyle='dotted',alpha=0.5)\n",
        "ax1.vlines(x=2040,ymin=0,ymax=1.865,color='red',linestyle='dotted',alpha=0.5)\n",
        "ax1.vlines(x=2050,ymin=0,ymax=2.2,color='k',linestyle='dotted',alpha=0.5)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "EpeGLvcj_oxr",
        "outputId": "ac2bdf76-edcb-4be6-eeb8-9fd0feb1ff09"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.LineCollection at 0x7f327ee763d0>"
            ]
          },
          "metadata": {},
          "execution_count": 84
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x504 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=[17, 7])\n",
        "plt.suptitle('SIAM temperature pathways schematic',size=20,weight='bold',x=0.5,y=0.95)\n",
        "\n",
        "spec = fig.add_gridspec(1,2)\n",
        "\n",
        "ax1 = fig.add_subplot(spec[0, 0])\n",
        "ax2 = fig.add_subplot(spec[0, 1])\n",
        "\n",
        "ax1.tick_params(axis='both', which='major', labelsize=18)\n",
        "ax2.tick_params(axis='both', which='major', labelsize=18)\n",
        "\n",
        "#delayed decarbonisation\n",
        "ax1.plot(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022[257:336], color='green',label='D2022')\n",
        "ax1.plot(rcp26_data_m_D2030.Emissions.year[257:336], T26_D2030[257:336], color='blue',label='D2030')\n",
        "ax1.plot(rcp26_data_m_D2040.Emissions.year[257:336], T26_D2040[257:336], color='red',label='D2040')\n",
        "ax1.plot(rcp26_data_m_D2050.Emissions.year[257:336], T26_D2050[257:336], color='slategrey',label='D2050')\n",
        "ax1.plot(rcp85_data_m_BAU.Emissions.year[257:336], T85_BAU[257:336], color='k',label='GD',linestyle='dashed',alpha=0.6)\n",
        "ax1.plot(GISS['Year'],GISS['No_Smoothing']+0.31,color='k',marker='s',markersize=3.5,label='GISS Annual Mean')\n",
        "\n",
        "ax1.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022_80p[257:336], T26_D2022_120p[257:336], color='green',alpha=0.3)\n",
        "ax1.fill_between(rcp26_data_m_D2030.Emissions.year[257:336], T26_D2030_80p[257:336], T26_D2030_120p[257:336], color='blue',alpha=0.3)\n",
        "ax1.fill_between(rcp26_data_m_D2040.Emissions.year[257:336], T26_D2040_80p[257:336], T26_D2040_120p[257:336], color='red',alpha=0.3)\n",
        "ax1.fill_between(rcp26_data_m_D2050.Emissions.year[257:336], T26_D2050_80p[257:336], T26_D2050_120p[257:336], color='k',alpha=0.3)\n",
        "\n",
        "#percentage decarbonisation\n",
        "ax2.plot(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022[257:336], color='green',label='D2022')\n",
        "ax2.plot(rcp26_data_m_D75p.Emissions.year[257:336], T26_D75p[257:336], color='purple',label='D75%')\n",
        "ax2.plot(rcp26_data_m_D50p.Emissions.year[257:336], T26_D50p[257:336], color='orange',label='D50%')\n",
        "ax2.plot(rcp85_data_m_BAU.Emissions.year[257:336], T85_BAU[257:336], color='k',label='GD',linestyle='dashed',alpha=0.6)\n",
        "ax2.plot(GISS['Year'],GISS['No_Smoothing']+0.31,color='k',marker='s',markersize=3.5,label='GISS Annual Mean')\n",
        "\n",
        "\n",
        "ax2.fill_between(rcp26_data_m_D2022.Emissions.year[257:336], T26_D2022_80p[257:336], T26_D2022_120p[257:336], color='green',alpha=0.3)\n",
        "ax2.fill_between(rcp26_data_m_D75p.Emissions.year[257:336], T26_D75p_80p[257:336], T26_D75p_120p[257:336], color='purple',alpha=0.3)\n",
        "ax2.fill_between(rcp26_data_m_D50p.Emissions.year[257:336], T26_D50p_80p[257:336], T26_D50p_120p[257:336], color='orange',alpha=0.3)\n",
        "\n",
        "\n",
        "#paris agreement shading\n",
        "ax1.fill_between(rcp26_data_m_D2022.Emissions.year[:336],2.011,4,color='red',alpha=0.13)\n",
        "ax1.fill_between(rcp26_data_m_D2022.Emissions.year[:336],1.5,1.999,color='orange',alpha=0.13)\n",
        "\n",
        "ax2.fill_between(rcp26_data_m_D2022.Emissions.year[:336],2.011,4,color='red',alpha=0.13)\n",
        "ax2.fill_between(rcp26_data_m_D2022.Emissions.year[:336],1.5,1.999,color='orange',alpha=0.13)\n",
        "\n",
        "\n",
        "\n",
        "#limits\n",
        "ax1.set_xlim(1980,2100)\n",
        "ax2.set_xlim(1980,2100)\n",
        "ax1.set_ylim(0.3,3.6)\n",
        "ax2.set_ylim(0.3,3.6)\n",
        "\n",
        "#labelling\n",
        "ax1.legend(loc='lower right',fontsize=14)\n",
        "ax1.set_ylabel('Warming reltaive to pre-industrial ($^\\circ$C)',fontsize=18)\n",
        "ax1.text(1982,3.4,'a) Delayed decarbonisation',color='k',weight='bold',fontsize=17)\n",
        "ax2.legend(loc='best',fontsize=14)\n",
        "ax2.axvline(x=2022,color='grey',alpha=0.5,linestyle='dotted')\n",
        "ax2.text(2022,2.25,'2022',color='grey',fontsize=15)\n",
        "ax2.text(1982,3.4,'b) Percentage decarbonisation',color='k',weight='bold',fontsize=17)\n",
        "\n",
        "#lines\n",
        "ax1.vlines(x=2022,ymin=0,ymax=1.33,color='green',linestyle='dotted',alpha=0.5)\n",
        "ax1.vlines(x=2030,ymin=0,ymax=1.551,color='blue',linestyle='dotted',alpha=0.5)\n",
        "ax1.vlines(x=2040,ymin=0,ymax=1.865,color='red',linestyle='dotted',alpha=0.5)\n",
        "ax1.vlines(x=2050,ymin=0,ymax=2.2,color='k',linestyle='dotted',alpha=0.5)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 426
        },
        "id": "E8fpMiBLG5_H",
        "outputId": "d4229ceb-d03a-47ca-a198-9dbfd4a23d1e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.LineCollection at 0x7f327ef15390>"
            ]
          },
          "metadata": {},
          "execution_count": 94
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1224x504 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rcp26_data_m_D75p.Emissions.year[296]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V6XkuK1YlxKn",
        "outputId": "8da67d69-72fd-4e03-8889-432396f141d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2061.0"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Plot 7 (comparison to RCPs)"
      ],
      "metadata": {
        "id": "aGoH19xs4h8E"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#importing RCP/SSP data from the FaIR documentation:\n",
        "#===============================================\n",
        "\n",
        "from fair.RCPs import rcp26, rcp45, rcp60, rcp85\n",
        "# Basic RCP runs\n",
        "C26, F26, T26 = fair.forward.fair_scm(emissions=rcp26.Emissions.emissions)\n",
        "C45, F45, T45 = fair.forward.fair_scm(emissions=rcp45.Emissions.emissions)\n",
        "C60, F60, T60 = fair.forward.fair_scm(emissions=rcp60.Emissions.emissions)\n",
        "C85, F85, T85 = fair.forward.fair_scm(emissions=rcp85.Emissions.emissions)\n"
      ],
      "metadata": {
        "id": "29QDJ93M5Ceb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig = plt.figure(figsize=[16,12])\n",
        "#plt.text('SIAM scenarios',size=16,weight='bold',y=0.99)\n",
        "plt.suptitle('RCP scenarios',size=20,weight='bold',y=0.5)\n",
        "ax1 = fig.add_subplot(221)\n",
        "ax2 = fig.add_subplot(222)\n",
        "ax3 = fig.add_subplot(223)\n",
        "ax4 = fig.add_subplot(224)\n",
        "\n",
        "ax1.tick_params(axis='both', which='major', labelsize=18)\n",
        "ax2.tick_params(axis='both', which='major', labelsize=18)\n",
        "ax3.tick_params(axis='both', which='major', labelsize=18)\n",
        "ax4.tick_params(axis='both', which='major', labelsize=18)\n",
        "\n",
        "#this section is my modified scenarios\n",
        "ax1.plot(rcp26_data_m_D2022.Emissions.year[215:336], rcp26_data_m_D2022.Emissions.co2_fossil[215:336], color='green',label='D2022',linestyle='dashed')\n",
        "ax1.plot(rcp26_data_m_D2030.Emissions.year[215:336], rcp26_data_m_D2030.Emissions.co2_fossil[215:336], color='blue',label='D2030',linestyle='dashed')\n",
        "ax1.plot(rcp26_data_m_D2040.Emissions.year[215:336], rcp26_data_m_D2040.Emissions.co2_fossil[215:336], color='red',label='D2040',linestyle='dashed')\n",
        "ax1.plot(rcp26_data_m_D2050.Emissions.year[215:336], rcp26_data_m_D2050.Emissions.co2_fossil[215:336], color='purple',label='D2050',linestyle='dashed')\n",
        "ax1.plot(rcp26_data_m_D75p.Emissions.year[215:336], rcp26_data_m_D75p.Emissions.co2_fossil[215:336], color='deepskyblue',label='D75%',linestyle='dashdot')\n",
        "ax1.plot(rcp26_data_m_D50p.Emissions.year[215:336], rcp26_data_m_D50p.Emissions.co2_fossil[215:336], color='orange',label='D50%',linestyle='dashdot')\n",
        "ax1.plot(rcp85_data_m_BAU.Emissions.year[215:336], rcp85_data_m_BAU.Emissions.co2_fossil[215:336], color='k',label='GD')\n",
        "\n",
        "ax1.fill_between(rcp85.Emissions.year[215:336], rcp26.Emissions.co2_fossil[215:336], rcp85.Emissions.co2_fossil[215:336], color='grey',alpha=0.15, label='RCP range')\n",
        "\n",
        "#ax2\n",
        "ax2.plot(rcp26_data_m_D2022.Emissions.year[215:336], T26_D2022[215:336], color='green',label='D2022',linestyle='dashed')\n",
        "ax2.plot(rcp26_data_m_D2030.Emissions.year[215:336], T26_D2030[215:336], color='blue',label='D2030',linestyle='dashed')\n",
        "ax2.plot(rcp26_data_m_D2040.Emissions.year[215:336], T26_D2040[215:336], color='red',label='D2040',linestyle='dashed')\n",
        "ax2.plot(rcp26_data_m_D2050.Emissions.year[215:336], T26_D2050[215:336], color='purple',label='D2050',linestyle='dashed')\n",
        "ax2.plot(rcp26_data_m_D75p.Emissions.year[215:336], T26_D75p[215:336], color='deepskyblue',label='D75%',linestyle='dashdot')\n",
        "ax2.plot(rcp26_data_m_D50p.Emissions.year[215:336], T26_D50p[215:336], color='orange',label='D50%',linestyle='dashdot')\n",
        "ax2.plot(rcp85_data_m_BAU.Emissions.year[215:336], T85_BAU[215:336], color='k',label='GD')\n",
        "\n",
        "ax2.fill_between(rcp85.Emissions.year[215:336], T26[215:336], T85[215:336], color='grey',alpha=0.15)\n",
        "\n",
        "\n",
        "#ax3\n",
        "ax3.plot(rcp26_data_m_D2022.Emissions.year[215:336], rcp26_data_m_D2022.Emissions.co2_fossil[215:336], color='green',linestyle='dashed',alpha=0.2)\n",
        "ax3.plot(rcp26_data_m_D2030.Emissions.year[215:336], rcp26_data_m_D2030.Emissions.co2_fossil[215:336], color='blue',linestyle='dashed',alpha=0.2)\n",
        "ax3.plot(rcp26_data_m_D2040.Emissions.year[215:336], rcp26_data_m_D2040.Emissions.co2_fossil[215:336], color='red',linestyle='dashed',alpha=0.2)\n",
        "ax3.plot(rcp26_data_m_D2050.Emissions.year[215:336], rcp26_data_m_D2050.Emissions.co2_fossil[215:336], color='purple',linestyle='dashed',alpha=0.2)\n",
        "ax3.plot(rcp26_data_m_D75p.Emissions.year[215:336], rcp26_data_m_D75p.Emissions.co2_fossil[215:336], color='deepskyblue',linestyle='dashdot',alpha=0.2)\n",
        "ax3.plot(rcp26_data_m_D50p.Emissions.year[215:336], rcp26_data_m_D50p.Emissions.co2_fossil[215:336], color='orange',linestyle='dashdot',alpha=0.2)\n",
        "ax3.plot(rcp85_data_m_BAU.Emissions.year[215:336], rcp85_data_m_BAU.Emissions.co2_fossil[215:336], color='k',alpha=0.2)\n",
        "\n",
        "ax3.fill_between(rcp85.Emissions.year[215:336], rcp26_data_m_D2022.Emissions.co2_fossil[215:336], rcp85_data_m_BAU.Emissions.co2_fossil[215:336], color='grey',alpha=0.1)\n",
        "ax3.fill_between(rcp85.Emissions.year[215:336], rcp26_data_m_D50p.Emissions.co2_fossil[215:336], rcp85_data_m_BAU.Emissions.co2_fossil[215:336], color='grey',alpha=0.1, label='SIAM range')\n",
        "\n",
        "\n",
        "ax3.plot(rcp26.Emissions.year[215:336], rcp26.Emissions.co2_fossil[215:336], color='green', label='RCP2.6')\n",
        "ax3.plot(rcp45.Emissions.year[215:336], rcp45.Emissions.co2_fossil[215:336], color='blue',label='RCP4.5')\n",
        "ax3.plot(rcp60.Emissions.year[215:336], rcp60.Emissions.co2_fossil[215:336], color='red',label='RCP6.0')\n",
        "ax3.plot(rcp85.Emissions.year[215:336], rcp85.Emissions.co2_fossil[215:336], color='black', label='RCP8.5')\n",
        "\n",
        "\n",
        "\n",
        "#ax4\n",
        "ax4.plot(rcp26_data_m_D2022.Emissions.year[215:336], T26_D2022[215:336], color='green',linestyle='dashed',alpha=0.2)\n",
        "ax4.plot(rcp26_data_m_D2030.Emissions.year[215:336], T26_D2030[215:336], color='blue',linestyle='dashed',alpha=0.2)\n",
        "ax4.plot(rcp26_data_m_D2040.Emissions.year[215:336], T26_D2040[215:336], color='red',linestyle='dashed',alpha=0.2)\n",
        "ax4.plot(rcp26_data_m_D2050.Emissions.year[215:336], T26_D2050[215:336], color='purple',linestyle='dashed',alpha=0.2)\n",
        "ax4.plot(rcp26_data_m_D75p.Emissions.year[215:336], T26_D75p[215:336], color='deepskyblue',linestyle='dashdot',alpha=0.2)\n",
        "ax4.plot(rcp26_data_m_D50p.Emissions.year[215:336], T26_D50p[215:336], color='orange',linestyle='dashdot',alpha=0.2)\n",
        "ax4.plot(rcp85_data_m_BAU.Emissions.year[215:336], T85_BAU[215:336], color='k',alpha=0.2)\n",
        "\n",
        "ax4.fill_between(rcp85.Emissions.year[215:336], T26_D2022[215:336], T85_BAU[215:336], color='grey',alpha=0.1)\n",
        "\n",
        "ax4.plot(rcp26.Emissions.year[215:336], T26[215:336], color='green')\n",
        "ax4.plot(rcp45.Emissions.year[215:336], T45[215:336], color='blue')\n",
        "ax4.plot(rcp60.Emissions.year[215:336], T60[215:336], color='red')\n",
        "ax4.plot(rcp85.Emissions.year[215:336], T85[215:336], color='black')\n",
        "\n",
        "\n",
        "#limits\n",
        "ax1.set_xlim(1980,2100)\n",
        "ax2.set_xlim(1980,2100)\n",
        "ax3.set_xlim(1980,2100)\n",
        "ax4.set_xlim(1980,2100)\n",
        "\n",
        "#labels\n",
        "ax1.set_ylabel('Fossil CO$_2$ emissions (GtC)',fontsize=17)\n",
        "ax1.legend(loc='best',fontsize=14)\n",
        "ax1.text(2084,32,'SIAM scenarios',fontsize=20,weight='bold')\n",
        "ax2.set_ylabel('Temperature anomaly ($^\\circ$C)',fontsize=17)\n",
        "ax3.set_ylabel('Fossil CO$_2$ emissions (GtC)',fontsize=17)\n",
        "ax3.legend(fontsize=14)\n",
        "ax4.set_ylabel('Temperature anomaly ($^\\circ$C)',fontsize=17);\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674
        },
        "id": "3HM5DNCaXeEY",
        "outputId": "854e963d-913a-4e74-e0ec-f95f805cae8e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x864 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "T85_BAU[336]"
      ],
      "metadata": {
        "id": "oxDFj5q3G_RB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cdd53c03-ecdd-4f12-b5bf-76f49e7bcbfc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4.066039938478825"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "7TeD13uZpRYa"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}