{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Subject 1: CO2 concentration in the atmosphere since 1958" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The Keeling Curve and purpose of the quantitative analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since 1958, American scientists Charles David Keeling has performed continuous measurement of atmospheric carbon dioxide (CO2) at the Mauna Loa Observatory in Hawaii.This long-term dataset has become known as the Keeling Curve, serving as clear evidence of the ongoing increase in atmospheric CO2 concentrations, which is primarily caused by human acttivity.\n", "\n", "The initial objective of the observations was to study seasonal variation in CO2, which was occured because of natural processes such as photosynthesis and respiration. Over time, however, the focuses eventually turned to understanding the long-term upward trend in the context of climat change.This was occured due to the steady year over year increase in CO2 concentrations provided measurable evidence of impact of human activities, particularly fossil fuel combustions on the global ecosystem." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Objectives of the Quantitative analysis\n", "\n", "Quantitative evaluation aims to explore and model the time series of CO2 measurements from Mauna Loa.\n", "\n", "Specifically, the objectives are:\n", " \n", "- to create a plot showing the superposition of seasonal oscillations and a slower systematic trend.\n", "- to separate the seasonal component and describe it.\n", "- to construct a model for the long-term trend and estimates its parameters, i.e. slope and offset.\n", "- to extrapolate the trend-up to the year 2025, providing a forecast for future changes in concetration of CO2 in atmosphere.\n", "\n", "The data used in this quantitative analysis is a local copy of CO2 observations from the [Scripps CO2 Program](https://scrippsco2.ucsd.edu/data/atmospheric_co2/primary_mlo_co2_record.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load and prepare the dataset to perform the quantitative analysis" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from statsmodels.tsa.seasonal import seasonal_decompose\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Importing the CO2 dataset, which was downloaded from the [Scripps CO2 Program website](https://scrippsco2.ucsd.edu/data/atmospheric_co2/primary_mlo_co2_record.html).\n", "\n", "As the original file includes metadata in the firs 61 rows, it is necessary to skip them when reading the file.\n", "Afterwards, the column names was assigned." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "df=pd.read_csv(\"monthly_in_situ_co2_mlo.csv\", skiprows=61)\n", "df.columns=['Year', 'Month', 'Excel', 'DecimalDate', 'CO2', 'CO2_season_adj', \n", " 'CO2_fit', 'CO2_adj_fit', 'CO2_filled', 'CO2_adj_filled', 'Sta']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Filter out invalid of missing values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some rows may contain non-numeric values, particularly in the \"Year\" columns" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "df=df[pd.to_numeric(df['Year'], errors='coerce').notnull()].copy()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The \"Year\" and \"Month\" columns were converted to integers, which ensure the CO2 values are numeric." ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "df['Year']=df['Year'].astype(int)\n", "df['Month']=df['Month'].astype(int)\n", "df['CO2']=pd.to_numeric(df['CO2'], errors='coerce')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A full datetime column was created to represent mid-month measurements. " ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "df['Date']=pd.to_datetime(dict(Year=df['Year'], Month=df['Month'], Day=15))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**\"Date\"** column was set as the index of the DataFrame to facilitate time series analysis" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "df=df[df['CO2']>0]\n", "df.set_index('Date', inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot the Raw CO2 time series" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It is possible to visualize the monthly CO2 measurement from the **Mauna Loa Observatory**.\n", "\n", "The first prot illustrates the raw atmospheric CO2 concentrations over time, showing both seasonal periodic oscillations and a long-term upward trend." ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,6))\n", "plt.plot(df.index, df['CO2'], label='CO2 ppm', color='black')\n", "plt.title('CO2 level on Manua Loa from 1958 to present time')\n", "plt.xlabel('Year',labelpad=12)\n", "plt.ylabel('CO2 fraction in air, ppm', labelpad=12)\n", "plt.grid(True)\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "Decomposition=seasonal_decompose(df['CO2'], model='additive', freq=12)\n", "Seasonal=Decomposition.seasonal.dropna()\n", "Seasonal_Monthly=Seasonal.to_frame(name='Seasonality')\n", "Seasonal_Monthly['Month']=Seasonal_Monthly.index.month\n", "Monthly_Avg=Seasonal_Monthly.groupby('Month')['Seasonality'].mean()\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,4))\n", "plt.plot(Monthly_Avg.index, Monthly_Avg.values, marker='o', linestyle='-', color='red')\n", "plt.title('Seasonal oscillations of CO2')\n", "plt.xlabel('Month',labelpad=12)\n", "plt.ylabel('Average deviation, ppm', labelpad=12)\n", "\n", "plt.xticks(range(1,13), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', \n", " 'Jul', 'Aug', 'Sept', 'Oct', 'Nov', 'Dec'])\n", "\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "df_clean['CO2']=pd.to_numeric(df_clean['CO2'], errors='coerce')\n", "df_clean['DecimalDate']=pd.to_numeric(df_clean['DecimalDate'], errors='coerce')\n", "df_clean=df_clean.dropna(subset = ['CO2', 'DecimalDate'])\n", "x = df_clean['DecimalDate'].values\n", "y = df_clean['CO2'].values\n", "\n", "x_mean = np.mean(x)\n", "y_mean = np.mean(y)\n", "\n", "numerator = np.sum((x-x_mean)*(y-y_mean))\n", "denominator = np.sum((x-x_mean)**2)\n", "\n", "a_tr = numerator / denominator\n", "b_tr = y_mean - a_tr*x_mean\n", "\n", "y_pred_tr = a_tr*x + b_tr\n", "\n", "x_future = np.arange(x.max(), 2026.0, 1/12)\n", "y_future_pred = a_tr*x_future + b_tr" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,6))\n", "\n", "plt.plot(x,y, label='Observed CO2', color='black', linewidth=2)\n", "\n", "plt.plot(x,y_pred_tr, label='Trend Line', color='red', linestyle='--', linewidth=2)\n", "plt.plot(x_future, y_future_pred, label='Extrapolated Trend Line to 2025', color='blue', linestyle=':', linewidth=3)\n", "plt.xlabel('Year', labelpad=12)\n", "plt.ylabel('CO2 concentration, ppm', labelpad=12)\n", "plt.title('Linear Trend and Extrapolation to 20250')\n", "plt.legend()\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }