diff --git a/module3/exo3/exercice_fr.ipynb b/module3/exo3/exercice_fr.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..83d18f085017e2bb0c8162472ea4dda7e8988783 100644 --- a/module3/exo3/exercice_fr.ipynb +++ b/module3/exo3/exercice_fr.ipynb @@ -1,5 +1,2739 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Sujet 1 : Concentration de CO2 dans l'atmosphère depuis 1958\n", + "\n", + "*Prérequis* : traitement de suites chronologiques\n", + "\n", + "En 1958, Charles David Keeling a initié une mesure de la concentration de CO2 dans l'atmosphère à l'observatoire de Mauna Loa, Hawaii, États-Unis qui continue jusqu'à aujourd'hui. L'objectif initial était d'étudier la variation saisonnière, mais l'intérêt s'est déplacé plus tard vers l'étude de la tendance croissante dans le contexte du changement climatique. En honneur à Keeling, ce jeu de données est souvent appelé \"Keeling Curve\" (voir https://en.wikipedia.org/wiki/Keeling_Curve pour l'histoire et l'importance de ces données).\n", + "\n", + "Les données sont disponibles sur le site Web de l'institut Scripps. Utilisez le fichier avec les observations hebdomadaires. Attention, ce fichier est mis à jour régulièrement avec de nouvelles observations. Notez donc bien la date du téléchargement, et gardez une copie locale de la version précise que vous analysez. Faites aussi attention aux données manquantes.\n", + "\n", + "Votre mission si vous l'acceptez :\n", + "1. Réalisez un graphique qui vous montrera une oscillation périodique superposée à une évolution systématique plus lente.\n", + "2. Séparez ces deux phénomènes. Caractérisez l'oscillation périodique. Proposez un modèle simple de la contribution lente, estimez ses paramètres et tentez une extrapolation jusqu'à 2025 (dans le but de pouvoir valider le modèle par des observations futures).\n", + "3. Déposer dans FUN votre résultat" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Librairie" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import os\n", + "import urllib.request\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load data" + ] + }, + { + "cell_type": "code", + "execution_count": 278, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Local CSV file found\n" + ] + }, + { + "data": { + "text/html": [ + "
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417.91 418.95 418.18 \n", + "777 2022 08 44788 2022.6219 416.75 418.30 416.77 418.37 \n", + "778 2022 09 44819 2022.7068 415.42 418.91 415.05 418.56 \n", + "779 2022 10 44849 2022.7890 415.31 418.91 415.16 418.75 \n", + "780 2022 11 44880 2022.8740 417.03 419.28 416.72 418.95 \n", + "781 2022 12 44910 2022.9562 418.46 419.38 418.25 419.16 \n", + "782 2023 01 44941 2023.0411 419.13 419.06 419.46 419.38 \n", + "783 2023 02 44972 2023.1260 420.33 419.55 420.40 419.61 \n", + "784 2023 03 45000 2023.2027 420.51 418.97 421.39 419.83 \n", + "785 2023 04 45031 2023.2877 422.73 419.97 422.88 420.10 \n", + "786 2023 05 45061 2023.3699 423.78 420.38 423.76 420.37 \n", + "787 2023 06 45092 2023.4548 423.39 420.81 423.22 420.66 \n", + "788 2023 07 45122 2023.5370 421.62 420.82 421.72 420.95 \n", + "789 2023 08 45153 2023.6219 419.56 421.12 419.66 421.26 \n", + "790 2023 09 45184 2023.7068 418.06 421.56 418.05 421.57 \n", + "791 2023 10 45214 2023.7890 418.41 422.01 418.28 421.87 \n", + "792 2023 11 45245 2023.8740 420.11 422.37 419.94 422.18 \n", + "793 2023 12 45275 2023.9562 421.65 422.57 421.57 422.47 \n", + "794 2024 01 45306 2024.0410 422.62 422.55 422.85 422.77 \n", + "795 2024 02 45337 2024.1257 424.34 423.56 423.85 423.06 \n", + "796 2024 03 45366 2024.2049 425.22 423.65 424.92 423.33 \n", + "797 2024 04 45397 2024.2896 426.30 423.50 426.43 423.61 \n", + "798 2024 05 45427 2024.3716 426.70 423.30 427.29 423.89 \n", + "799 2024 06 45458 2024.4563 426.62 424.06 426.72 424.18 \n", + "800 2024 07 45488 2024.5383 425.40 424.63 425.20 424.46 \n", + "801 2024 08 45519 2024.6230 422.70 424.30 423.13 424.76 \n", + "802 2024 09 45550 2024.7077 421.59 425.11 421.53 425.07 \n", + "803 2024 10 45580 2024.7896 422.05 425.66 421.77 425.37 \n", + "804 2024 11 45611 2024.8743 -99.99 -99.99 -99.99 -99.99 \n", + "805 2024 12 45641 2024.9563 -99.99 -99.99 -99.99 -99.99 \n", + "\n", + " CO2.1 seasonally.2 Sta \n", + "0 filled adjusted filled \n", + "1 [ppm] [ppm] \n", + "2 -99.99 -99.99 MLO \n", + "3 -99.99 -99.99 MLO \n", + "4 315.71 314.43 MLO \n", + "5 317.45 315.15 MLO \n", + "6 317.51 314.69 MLO \n", + "7 317.27 315.15 MLO \n", + "8 315.87 315.20 MLO \n", + "9 314.93 316.22 MLO \n", + "10 313.21 316.12 MLO \n", + "11 312.42 315.41 MLO \n", + "12 313.33 315.21 MLO \n", + "13 314.67 315.44 MLO \n", + "14 315.58 315.52 MLO \n", + "15 316.49 315.84 MLO \n", + "16 316.65 315.37 MLO \n", + "17 317.72 315.41 MLO \n", + "18 318.29 315.46 MLO \n", + "19 318.15 316.00 MLO \n", + "20 316.54 315.87 MLO \n", + "21 314.79 316.10 MLO \n", + "22 313.84 316.76 MLO \n", + "23 313.33 316.35 MLO \n", + "24 314.81 316.69 MLO \n", + "25 315.58 316.35 MLO \n", + "26 316.43 316.37 MLO \n", + "27 316.98 316.33 MLO \n", + "28 317.58 316.27 MLO \n", + "29 319.03 316.69 MLO \n", + ".. ... ... ... \n", + "776 418.71 417.91 MLO \n", + "777 416.75 418.30 MLO \n", + "778 415.42 418.91 MLO \n", + "779 415.31 418.91 MLO \n", + "780 417.03 419.28 MLO \n", + "781 418.46 419.38 MKO \n", + "782 419.13 419.06 MKO \n", + "783 420.33 419.55 MKO \n", + "784 420.51 418.97 MLO \n", + "785 422.73 419.97 MLO \n", + "786 423.78 420.38 MLO \n", + "787 423.39 420.81 MLO \n", + "788 421.62 420.82 MLO \n", + "789 419.56 421.12 MLO \n", + "790 418.06 421.56 MLO \n", + "791 418.41 422.01 MLO \n", + "792 420.11 422.37 MLO \n", + "793 421.65 422.57 MLO \n", + "794 422.62 422.55 MLO \n", + "795 424.34 423.56 MLO \n", + "796 425.22 423.65 MLO \n", + "797 426.30 423.50 MLO \n", + "798 426.70 423.30 MLO \n", + "799 426.62 424.06 MLO \n", + "800 425.40 424.63 MLO \n", + "801 422.70 424.30 MLO \n", + "802 421.59 425.11 MLO \n", + "803 422.05 425.66 MLO \n", + "804 -99.99 -99.99 MLO \n", + "805 -99.99 -99.99 MLO \n", + "\n", + "[806 rows x 11 columns]" + ] + }, + "execution_count": 278, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_url = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/monthly/monthly_in_situ_co2_mlo.csv\"\n", + "data_file = \"monthly_in_situ_co2_mlo.csv\"\n", + "\n", + "if not os.path.exists(data_file):\n", + " print('Loading from url')\n", + " try:\n", + " urllib.request.urlretrieve(data_url, data_file)\n", + " except e:\n", + " print('Error when loading data from url', e)\n", + " print('CSV file loaded')\n", + "else:\n", + " print('Local CSV file found')\n", + " \n", + "raw_data = pd.read_csv(data_file, comment=\"\\\"\", keep_default_na=False, skipinitialspace=True) # skip header of the file\n", + "raw_data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prepare data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- Prepare header" + ] + }, + { + "cell_type": "code", + "execution_count": 279, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['Yr', 'Mn', 'Date', 'Date.1', 'CO2', 'seasonally', 'fit',\n", + " 'seasonally.1', 'CO2.1', 'seasonally.2', 'Sta'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print(raw_data.columns)\n", + "rename = raw_data.columns + [' ' + x if x else '' for x in list(raw_data.iloc[0])] + [' ' + x if x else '' for x in list(raw_data.iloc[1])]\n", + "raw_data.columns = rename\n", + "data = raw_data.drop(index = raw_data.iloc[0:2].index)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- String to dateformat\n" + ] + }, + { + "cell_type": "code", + "execution_count": 288, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2 1958-01-01\n", + "3 1958-02-01\n", + "4 1958-03-01\n", + "5 1958-04-01\n", + "6 1958-05-01\n", + "7 1958-06-01\n", + "8 1958-07-01\n", + "9 1958-08-01\n", + "10 1958-09-01\n", + "11 1958-10-01\n", + "12 1958-11-01\n", + "13 1958-12-01\n", + "14 1959-01-01\n", + "15 1959-02-01\n", + "16 1959-03-01\n", + "17 1959-04-01\n", + "18 1959-05-01\n", + "19 1959-06-01\n", + "20 1959-07-01\n", + "21 1959-08-01\n", + "22 1959-09-01\n", + "23 1959-10-01\n", + "24 1959-11-01\n", + "25 1959-12-01\n", + "26 1960-01-01\n", + "27 1960-02-01\n", + "28 1960-03-01\n", + "29 1960-04-01\n", + "30 1960-05-01\n", + "31 1960-06-01\n", + " ... \n", + "776 2022-07-01\n", + "777 2022-08-01\n", + "778 2022-09-01\n", + "779 2022-10-01\n", + "780 2022-11-01\n", + "781 2022-12-01\n", + "782 2023-01-01\n", + "783 2023-02-01\n", + "784 2023-03-01\n", + "785 2023-04-01\n", + "786 2023-05-01\n", + "787 2023-06-01\n", + "788 2023-07-01\n", + "789 2023-08-01\n", + "790 2023-09-01\n", + "791 2023-10-01\n", + "792 2023-11-01\n", + "793 2023-12-01\n", + "794 2024-01-01\n", + "795 2024-02-01\n", + "796 2024-03-01\n", + "797 2024-04-01\n", + "798 2024-05-01\n", + "799 2024-06-01\n", + "800 2024-07-01\n", + "801 2024-08-01\n", + "802 2024-09-01\n", + "803 2024-10-01\n", + "804 2024-11-01\n", + "805 2024-12-01\n", + "Name: Yr Mn, Length: 804, dtype: datetime64[ns]" + ] + }, + "execution_count": 288, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = data\n", + "raw_data['Yr Mn'] = raw_data['Yr'] + ' ' + raw_data['Mn']\n", + "pd.to_datetime(raw_data['Yr Mn'], format=\"%Y %m\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- String to numeric data" + ] + }, + { + "cell_type": "code", + "execution_count": 281, + "metadata": {}, + "outputs": [], + "source": [ + "raw_data = data\n", + "for column in raw_data.columns[4:10]:\n", + " raw_data[column] = pd.to_numeric(raw_data[column])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- Remove unreleavant value" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**strict data** : row with missing value on at least one column are removed. Missing value are denoted as $-99.99$ as said by the csv header.\n", + "\n", + "Printed row are those who has been dropped\n", + "\n", + "*Note : condition has been simplified due to disposition of the data (2024 december 09), which mean that strict data are not futur proof* " + ] + }, + { + "cell_type": "code", + "execution_count": 282, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YrMnDate ExcelDate.1CO2 [ppm]seasonally adjusted [ppm]fit [ppm]seasonally.1 adjusted fit [ppm]CO2.1 filled [ppm]seasonally.2 adjusted filled [ppm]Sta
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3195802212311958.1260-99.99-99.99-99.99-99.99-99.99-99.99MLO
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804202411456112024.8743-99.99-99.99-99.99-99.99-99.99-99.99MLO
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YrMnDate ExcelDate.1CO2 [ppm]seasonally adjusted [ppm]fit [ppm]seasonally.1 adjusted fit [ppm]CO2.1 filled [ppm]seasonally.2 adjusted filled [ppm]Sta
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1959.8740 314.81 316.69 \n", + "25 1959 12 21899 1959.9562 315.58 316.35 \n", + "26 1960 01 21930 1960.0410 316.43 316.37 \n", + "27 1960 02 21961 1960.1257 316.98 316.33 \n", + "28 1960 03 21990 1960.2049 317.58 316.27 \n", + "29 1960 04 22021 1960.2896 319.03 316.69 \n", + "30 1960 05 22051 1960.3716 320.03 317.19 \n", + "31 1960 06 22082 1960.4563 319.59 317.45 \n", + "32 1960 07 22112 1960.5383 318.18 317.53 \n", + "33 1960 08 22143 1960.6230 315.90 317.23 \n", + "34 1960 09 22174 1960.7077 314.17 317.11 \n", + "35 1960 10 22204 1960.7896 313.83 316.85 \n", + ".. ... .. ... ... ... ... \n", + "774 2022 05 44696 2022.3699 420.78 417.39 \n", + "775 2022 06 44727 2022.4548 420.68 418.10 \n", + "776 2022 07 44757 2022.5370 418.71 417.91 \n", + "777 2022 08 44788 2022.6219 416.75 418.30 \n", + "778 2022 09 44819 2022.7068 415.42 418.91 \n", + "779 2022 10 44849 2022.7890 415.31 418.91 \n", + "780 2022 11 44880 2022.8740 417.03 419.28 \n", + "781 2022 12 44910 2022.9562 418.46 419.38 \n", + "782 2023 01 44941 2023.0411 419.13 419.06 \n", + "783 2023 02 44972 2023.1260 420.33 419.55 \n", + "784 2023 03 45000 2023.2027 420.51 418.97 \n", + "785 2023 04 45031 2023.2877 422.73 419.97 \n", + "786 2023 05 45061 2023.3699 423.78 420.38 \n", + "787 2023 06 45092 2023.4548 423.39 420.81 \n", + "788 2023 07 45122 2023.5370 421.62 420.82 \n", + "789 2023 08 45153 2023.6219 419.56 421.12 \n", + "790 2023 09 45184 2023.7068 418.06 421.56 \n", + "791 2023 10 45214 2023.7890 418.41 422.01 \n", + "792 2023 11 45245 2023.8740 420.11 422.37 \n", + "793 2023 12 45275 2023.9562 421.65 422.57 \n", + "794 2024 01 45306 2024.0410 422.62 422.55 \n", + "795 2024 02 45337 2024.1257 424.34 423.56 \n", + "796 2024 03 45366 2024.2049 425.22 423.65 \n", + "797 2024 04 45397 2024.2896 426.30 423.50 \n", + "798 2024 05 45427 2024.3716 426.70 423.30 \n", + "799 2024 06 45458 2024.4563 426.62 424.06 \n", + "800 2024 07 45488 2024.5383 425.40 424.63 \n", + "801 2024 08 45519 2024.6230 422.70 424.30 \n", + "802 2024 09 45550 2024.7077 421.59 425.11 \n", + "803 2024 10 45580 2024.7896 422.05 425.66 \n", + "\n", + " fit [ppm] seasonally.1 adjusted fit [ppm] CO2.1 filled [ppm] \\\n", + "4 316.20 314.91 315.71 \n", + "5 317.31 314.99 317.45 \n", + "6 317.89 315.07 317.51 \n", + "8 315.86 315.22 315.87 \n", + "9 313.96 315.29 314.93 \n", + "10 312.43 315.35 313.21 \n", + "12 313.60 315.46 313.33 \n", + "13 314.77 315.52 314.67 \n", + "14 315.64 315.58 315.58 \n", + "15 316.30 315.64 316.49 \n", + "16 317.00 315.70 316.65 \n", + "17 318.10 315.77 317.72 \n", + "18 318.68 315.85 318.29 \n", + "19 318.08 315.94 318.15 \n", + "20 316.67 316.03 316.54 \n", + "21 314.80 316.13 314.79 \n", + "22 313.29 316.22 313.84 \n", + "23 313.31 316.31 313.33 \n", + "24 314.53 316.40 314.81 \n", + "25 315.72 316.48 315.58 \n", + "26 316.63 316.56 316.43 \n", + "27 317.30 316.64 316.98 \n", + "28 318.04 316.72 317.58 \n", + "29 319.15 316.79 319.03 \n", + "30 319.70 316.86 320.03 \n", + "31 319.05 316.93 319.59 \n", + "32 317.59 316.98 318.18 \n", + "33 315.66 317.02 315.90 \n", + "34 314.10 317.05 314.17 \n", + "35 314.08 317.08 313.83 \n", + ".. ... ... ... \n", + "774 421.23 417.84 420.78 \n", + "775 420.56 418.01 420.68 \n", + "776 418.95 418.18 418.71 \n", + "777 416.77 418.37 416.75 \n", + "778 415.05 418.56 415.42 \n", + "779 415.16 418.75 415.31 \n", + "780 416.72 418.95 417.03 \n", + "781 418.25 419.16 418.46 \n", + "782 419.46 419.38 419.13 \n", + "783 420.40 419.61 420.33 \n", + "784 421.39 419.83 420.51 \n", + "785 422.88 420.10 422.73 \n", + "786 423.76 420.37 423.78 \n", + "787 423.22 420.66 423.39 \n", + "788 421.72 420.95 421.62 \n", + "789 419.66 421.26 419.56 \n", + "790 418.05 421.57 418.06 \n", + "791 418.28 421.87 418.41 \n", + "792 419.94 422.18 420.11 \n", + "793 421.57 422.47 421.65 \n", + "794 422.85 422.77 422.62 \n", + "795 423.85 423.06 424.34 \n", + "796 424.92 423.33 425.22 \n", + "797 426.43 423.61 426.30 \n", + "798 427.29 423.89 426.70 \n", + "799 426.72 424.18 426.62 \n", + "800 425.20 424.46 425.40 \n", + "801 423.13 424.76 422.70 \n", + "802 421.53 425.07 421.59 \n", + "803 421.77 425.37 422.05 \n", + "\n", + " seasonally.2 adjusted filled [ppm] Sta \n", + "4 314.43 MLO \n", + "5 315.15 MLO \n", + "6 314.69 MLO \n", + "8 315.20 MLO \n", + "9 316.22 MLO \n", + "10 316.12 MLO \n", + "12 315.21 MLO \n", + "13 315.44 MLO \n", + "14 315.52 MLO \n", + "15 315.84 MLO \n", + "16 315.37 MLO \n", + "17 315.41 MLO \n", + "18 315.46 MLO \n", + "19 316.00 MLO \n", + "20 315.87 MLO \n", + "21 316.10 MLO \n", + "22 316.76 MLO \n", + "23 316.35 MLO \n", + "24 316.69 MLO \n", + "25 316.35 MLO \n", + "26 316.37 MLO \n", + "27 316.33 MLO \n", + "28 316.27 MLO \n", + "29 316.69 MLO \n", + "30 317.19 MLO \n", + "31 317.45 MLO \n", + "32 317.53 MLO \n", + "33 317.23 MLO \n", + "34 317.11 MLO \n", + "35 316.85 MLO \n", + ".. ... ... \n", + "774 417.39 MLO \n", + "775 418.10 MLO \n", + "776 417.91 MLO \n", + "777 418.30 MLO \n", + "778 418.91 MLO \n", + "779 418.91 MLO \n", + "780 419.28 MLO \n", + "781 419.38 MKO \n", + "782 419.06 MKO \n", + "783 419.55 MKO \n", + "784 418.97 MLO \n", + "785 419.97 MLO \n", + "786 420.38 MLO \n", + "787 420.81 MLO \n", + "788 420.82 MLO \n", + "789 421.12 MLO \n", + "790 421.56 MLO \n", + "791 422.01 MLO \n", + "792 422.37 MLO \n", + "793 422.57 MLO \n", + "794 422.55 MLO \n", + "795 423.56 MLO \n", + "796 423.65 MLO \n", + "797 423.50 MLO \n", + "798 423.30 MLO \n", + "799 424.06 MLO \n", + "800 424.63 MLO \n", + "801 424.30 MLO \n", + "802 425.11 MLO \n", + "803 425.66 MLO \n", + "\n", + "[795 rows x 11 columns]" + ] + }, + "execution_count": 263, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "strict_data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +2750,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module3/exo3/monthly_in_situ_co2_mlo.csv b/module3/exo3/monthly_in_situ_co2_mlo.csv new file mode 100644 index 0000000000000000000000000000000000000000..4fe01daade339f5b4f15bfd90490465216335b51 --- /dev/null +++ b/module3/exo3/monthly_in_situ_co2_mlo.csv @@ -0,0 +1,868 @@ +"-------------------------------------------------------------------------------------------" +" Atmospheric CO2 concentrations (ppm) derived from in situ air measurements " +" at Mauna Loa, Observatory, Hawaii: Latitude 19.5°N Longitude 155.6°W Elevation 3397m " +" Since December 2022 sampling has temporarily been relocated to MaunuaKea, Hawaii " +" Latitude 19.8°N Longitude 155.5°W Elevation 4145m " +" " +" Source: R. F. Keeling, S. J. Walker, S. C. Piper and A. F. Bollenbacher " +" Scripps CO2 Program ( http://scrippsco2.ucsd.edu ) " +" Scripps Institution of Oceanography (SIO) " +" University of California " +" La Jolla, California USA 92093-0244 " +" " +" Status of data and correspondence: " +" " +" These data are subject to revision based on recalibration of standard gases. Questions " +" about the data should be directed to Dr. Ralph Keeling (rkeeling@ucsd.edu), Stephen Walker" +" (sjwalker@ucsd.edu) and Stephen Piper (scpiper@ucsd.edu), Scripps CO2 Program. " +" " +" Baseline data in this file through 12-Nov-2024 from archive dated 13-Nov-2024 12:55:01 " +" " +"-------------------------------------------------------------------------------------------" +" " +" Please cite as: " +" " +" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and " +" H. A. Meijer, Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and " +" oceans from 1978 to 2000. I. Global aspects, SIO Reference Series, No. 01-06, Scripps " +" Institution of Oceanography, San Diego, 88 pages, 2001. " +" " +" If it is necessary to cite a peer-reviewed article, please cite as: " +" " +" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and " +" H. A. Meijer, Atmospheric CO2 and 13CO2 exchange with the terrestrial biosphere and " +" oceans from 1978 to 2000: observations and carbon cycle implications, pages 83-113, " +" in "A History of Atmospheric CO2 and its effects on Plants, Animals, and Ecosystems", " +" editors, Ehleringer, J.R., T. E. Cerling, M. D. Dearing, Springer Verlag, " +" New York, 2005. " +" " +"-------------------------------------------------------------------------------------------" +" " +" The data file below contains 10 columns. Columns 1-4 give the dates in several redundant " +" formats. Column 5 below gives monthly Mauna Loa CO2 concentrations in micro-mol CO2 per " +" mole (ppm), reported on the 2012 SIO manometric mole fraction scale. This is the " +" standard version of the data most often sought. The monthly values have been adjusted " +" to 24:00 hours on the 15th of each month. Column 6 gives the same data after a seasonal " +" adjustment to remove the quasi-regular seasonal cycle. The adjustment involves " +" subtracting from the data a 4-harmonic fit with a linear gain factor. Column 7 is a " +" smoothed version of the data generated from a stiff cubic spline function plus 4-harmonic " +" functions with linear gain. Column 8 is the same smoothed version with the seasonal " +" cycle removed. Column 9 is identical to Column 5 except that the missing values from " +" Column 5 have been filled with values from Column 7. Column 10 is identical to Column 6 " +" except missing values have been filled with values from Column 8. Missing values are " +" denoted by -99.99 " +" " +" Column 11 is the 3-digit sampling station identifier. MLO refers to the Mauna Loa Observatory." +" MKO refers the summit of nearby Maunakea. MKO data are used to a fill a gap created by the 2022" +" eruption of Mauna Loa, which led to the shutdown measurements by the Scripps CO2 program at MLO" +" from Dec 2022 through Feb 2023" +" " +" CO2 concentrations are measured on the '12' calibration scale " +" " + Yr, Mn, Date, Date, CO2,seasonally, fit, seasonally, CO2, seasonally, Sta + , , , , , adjusted, ,adjusted fit, filled,adjusted filled + , , Excel, , [ppm], [ppm] , [ppm], [ppm], [ppm], [ppm] +1958, 01, 21200, 1958.0411, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99, MLO +1958, 02, 21231, 1958.1260, -99.99, -99.99, -99.99, -99.99, -99.99, -99.99, MLO +1958, 03, 21259, 1958.2027, 315.71, 314.43, 316.20, 314.91, 315.71, 314.43, MLO +1958, 04, 21290, 1958.2877, 317.45, 315.15, 317.31, 314.99, 317.45, 315.15, MLO +1958, 05, 21320, 1958.3699, 317.51, 314.69, 317.89, 315.07, 317.51, 314.69, MLO +1958, 06, 21351, 1958.4548, -99.99, -99.99, 317.27, 315.15, 317.27, 315.15, MLO +1958, 07, 21381, 1958.5370, 315.87, 315.20, 315.86, 315.22, 315.87, 315.20, MLO +1958, 08, 21412, 1958.6219, 314.93, 316.22, 313.96, 315.29, 314.93, 316.22, MLO +1958, 09, 21443, 1958.7068, 313.21, 316.12, 312.43, 315.35, 313.21, 316.12, MLO +1958, 10, 21473, 1958.7890, -99.99, -99.99, 312.42, 315.41, 312.42, 315.41, MLO +1958, 11, 21504, 1958.8740, 313.33, 315.21, 313.60, 315.46, 313.33, 315.21, MLO +1958, 12, 21534, 1958.9562, 314.67, 315.44, 314.77, 315.52, 314.67, 315.44, MLO +1959, 01, 21565, 1959.0411, 315.58, 315.52, 315.64, 315.58, 315.58, 315.52, MLO +1959, 02, 21596, 1959.1260, 316.49, 315.84, 316.30, 315.64, 316.49, 315.84, MLO +1959, 03, 21624, 1959.2027, 316.65, 315.37, 317.00, 315.70, 316.65, 315.37, MLO +1959, 04, 21655, 1959.2877, 317.72, 315.41, 318.10, 315.77, 317.72, 315.41, MLO +1959, 05, 21685, 1959.3699, 318.29, 315.46, 318.68, 315.85, 318.29, 315.46, MLO +1959, 06, 21716, 1959.4548, 318.15, 316.00, 318.08, 315.94, 318.15, 316.00, MLO +1959, 07, 21746, 1959.5370, 316.54, 315.87, 316.67, 316.03, 316.54, 315.87, MLO +1959, 08, 21777, 1959.6219, 314.79, 316.10, 314.80, 316.13, 314.79, 316.10, MLO +1959, 09, 21808, 1959.7068, 313.84, 316.76, 313.29, 316.22, 313.84, 316.76, MLO +1959, 10, 21838, 1959.7890, 313.33, 316.35, 313.31, 316.31, 313.33, 316.35, MLO +1959, 11, 21869, 1959.8740, 314.81, 316.69, 314.53, 316.40, 314.81, 316.69, MLO +1959, 12, 21899, 1959.9562, 315.58, 316.35, 315.72, 316.48, 315.58, 316.35, MLO +1960, 01, 21930, 1960.0410, 316.43, 316.37, 316.63, 316.56, 316.43, 316.37, MLO +1960, 02, 21961, 1960.1257, 316.98, 316.33, 317.30, 316.64, 316.98, 316.33, MLO +1960, 03, 21990, 1960.2049, 317.58, 316.27, 318.04, 316.72, 317.58, 316.27, MLO +1960, 04, 22021, 1960.2896, 319.03, 316.69, 319.15, 316.79, 319.03, 316.69, MLO +1960, 05, 22051, 1960.3716, 320.03, 317.19, 319.70, 316.86, 320.03, 317.19, MLO +1960, 06, 22082, 1960.4563, 319.59, 317.45, 319.05, 316.93, 319.59, 317.45, MLO +1960, 07, 22112, 1960.5383, 318.18, 317.53, 317.59, 316.98, 318.18, 317.53, MLO +1960, 08, 22143, 1960.6230, 315.90, 317.23, 315.66, 317.02, 315.90, 317.23, MLO +1960, 09, 22174, 1960.7077, 314.17, 317.11, 314.10, 317.05, 314.17, 317.11, MLO +1960, 10, 22204, 1960.7896, 313.83, 316.85, 314.08, 317.08, 313.83, 316.85, MLO +1960, 11, 22235, 1960.8743, 315.00, 316.89, 315.25, 317.12, 315.00, 316.89, MLO +1960, 12, 22265, 1960.9563, 316.19, 316.96, 316.40, 317.16, 316.19, 316.96, MLO +1961, 01, 22296, 1961.0411, 316.89, 316.84, 317.28, 317.21, 316.89, 316.84, MLO +1961, 02, 22327, 1961.1260, 317.70, 317.05, 317.94, 317.27, 317.70, 317.05, MLO +1961, 03, 22355, 1961.2027, 318.54, 317.25, 318.64, 317.34, 318.54, 317.25, MLO +1961, 04, 22386, 1961.2877, 319.48, 317.15, 319.76, 317.42, 319.48, 317.15, MLO +1961, 05, 22416, 1961.3699, 320.58, 317.73, 320.35, 317.50, 320.58, 317.73, MLO +1961, 06, 22447, 1961.4548, 319.77, 317.61, 319.74, 317.59, 319.77, 317.61, MLO +1961, 07, 22477, 1961.5370, 318.56, 317.89, 318.33, 317.68, 318.56, 317.89, MLO +1961, 08, 22508, 1961.6219, 316.79, 318.10, 316.43, 317.77, 316.79, 318.10, MLO +1961, 09, 22539, 1961.7068, 314.99, 317.92, 314.90, 317.85, 314.99, 317.92, MLO +1961, 10, 22569, 1961.7890, 315.31, 318.34, 314.91, 317.93, 315.31, 318.34, MLO +1961, 11, 22600, 1961.8740, 316.10, 318.00, 316.12, 318.00, 316.10, 318.00, MLO +1961, 12, 22630, 1961.9562, 317.01, 317.78, 317.30, 318.06, 317.01, 317.78, MLO +1962, 01, 22661, 1962.0411, 317.94, 317.88, 318.20, 318.13, 317.94, 317.88, MLO +1962, 02, 22692, 1962.1260, 318.55, 317.89, 318.86, 318.20, 318.55, 317.89, MLO +1962, 03, 22720, 1962.2027, 319.68, 318.39, 319.57, 318.26, 319.68, 318.39, MLO +1962, 04, 22751, 1962.2877, 320.57, 318.24, 320.67, 318.32, 320.57, 318.24, MLO +1962, 05, 22781, 1962.3699, 321.02, 318.16, 321.25, 318.39, 321.02, 318.16, MLO +1962, 06, 22812, 1962.4548, 320.62, 318.45, 320.60, 318.45, 320.62, 318.45, MLO +1962, 07, 22842, 1962.5370, 319.62, 318.94, 319.15, 318.51, 319.62, 318.94, MLO +1962, 08, 22873, 1962.6219, 317.40, 318.71, 317.21, 318.56, 317.40, 318.71, MLO +1962, 09, 22904, 1962.7068, 316.24, 319.19, 315.64, 318.61, 316.24, 319.19, MLO +1962, 10, 22934, 1962.7890, 315.42, 318.46, 315.62, 318.64, 315.42, 318.46, MLO +1962, 11, 22965, 1962.8740, 316.69, 318.59, 316.80, 318.68, 316.69, 318.59, MLO +1962, 12, 22995, 1962.9562, 317.70, 318.48, 317.96, 318.72, 317.70, 318.48, MLO +1963, 01, 23026, 1963.0411, 318.74, 318.68, 318.83, 318.77, 318.74, 318.68, MLO +1963, 02, 23057, 1963.1260, 319.07, 318.41, 319.48, 318.81, 319.07, 318.41, MLO +1963, 03, 23085, 1963.2027, 319.86, 318.56, 320.17, 318.86, 319.86, 318.56, MLO +1963, 04, 23116, 1963.2877, 321.38, 319.05, 321.27, 318.91, 321.38, 319.05, MLO +1963, 05, 23146, 1963.3699, 322.24, 319.38, 321.83, 318.97, 322.24, 319.38, MLO +1963, 06, 23177, 1963.4548, 321.49, 319.31, 321.18, 319.02, 321.49, 319.31, MLO +1963, 07, 23207, 1963.5370, 319.74, 319.06, 319.71, 319.06, 319.74, 319.06, MLO +1963, 08, 23238, 1963.6219, 317.77, 319.08, 317.76, 319.11, 317.77, 319.08, MLO +1963, 09, 23269, 1963.7068, 316.21, 319.17, 316.18, 319.15, 316.21, 319.17, MLO +1963, 10, 23299, 1963.7890, 315.99, 319.03, 316.16, 319.19, 315.99, 319.03, MLO +1963, 11, 23330, 1963.8740, 317.07, 318.98, 317.35, 319.24, 317.07, 318.98, MLO +1963, 12, 23360, 1963.9562, 318.35, 319.13, 318.52, 319.28, 318.35, 319.13, MLO +1964, 01, 23391, 1964.0410, 319.57, 319.52, 319.40, 319.33, 319.57, 319.52, MLO +1964, 02, 23422, 1964.1257, -99.99, -99.99, 320.04, 319.37, 320.04, 319.37, MLO +1964, 03, 23451, 1964.2049, -99.99, -99.99, 320.76, 319.42, 320.76, 319.42, MLO +1964, 04, 23482, 1964.2896, -99.99, -99.99, 321.84, 319.46, 321.84, 319.46, MLO +1964, 05, 23512, 1964.3716, 322.25, 319.37, 322.37, 319.50, 322.25, 319.37, MLO +1964, 06, 23543, 1964.4563, 321.90, 319.73, 321.68, 319.53, 321.90, 319.73, MLO +1964, 07, 23573, 1964.5383, 320.44, 319.79, 320.19, 319.56, 320.44, 319.79, MLO +1964, 08, 23604, 1964.6230, 318.69, 320.04, 318.21, 319.59, 318.69, 320.04, MLO +1964, 09, 23635, 1964.7077, 316.71, 319.68, 316.62, 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387.48, 388.37, 387.67, 388.54, 387.48, 388.37, MLO +2010, 01, 40193, 2010.0411, 388.55, 388.49, 388.84, 388.77, 388.55, 388.49, MLO +2010, 02, 40224, 2010.1260, 390.08, 389.32, 389.76, 388.99, 390.08, 389.32, MLO +2010, 03, 40252, 2010.2027, 391.02, 389.54, 390.70, 389.19, 391.02, 389.54, MLO +2010, 04, 40283, 2010.2877, 392.39, 389.71, 392.09, 389.40, 392.39, 389.71, MLO +2010, 05, 40313, 2010.3699, 393.24, 389.96, 392.87, 389.60, 393.24, 389.96, MLO +2010, 06, 40344, 2010.4548, 392.26, 389.76, 392.25, 389.78, 392.26, 389.76, MLO +2010, 07, 40374, 2010.5370, 390.35, 389.57, 390.70, 389.96, 390.35, 389.57, MLO +2010, 08, 40405, 2010.6219, 388.53, 390.04, 388.58, 390.13, 388.53, 390.04, MLO +2010, 09, 40436, 2010.7068, 386.85, 390.23, 386.90, 390.30, 386.85, 390.23, MLO +2010, 10, 40466, 2010.7890, 387.18, 390.67, 386.98, 390.45, 387.18, 390.67, MLO +2010, 11, 40497, 2010.8740, 388.69, 390.88, 388.44, 390.60, 388.69, 390.88, MLO +2010, 12, 40527, 2010.9562, 389.83, 390.73, 389.87, 390.74, 389.83, 390.73, MLO +2011, 01, 40558, 2011.0411, 391.33, 391.26, 390.96, 390.88, 391.33, 391.26, MLO +2011, 02, 40589, 2011.1260, 391.96, 391.20, 391.78, 391.01, 391.96, 391.20, MLO +2011, 03, 40617, 2011.2027, 392.49, 391.00, 392.64, 391.14, 392.49, 391.00, MLO +2011, 04, 40648, 2011.2877, 393.40, 390.72, 393.97, 391.28, 393.40, 390.72, MLO +2011, 05, 40678, 2011.3699, 394.33, 391.04, 394.71, 391.42, 394.33, 391.04, MLO +2011, 06, 40709, 2011.4548, 393.75, 391.24, 394.06, 391.58, 393.75, 391.24, MLO +2011, 07, 40739, 2011.5370, 392.64, 391.86, 392.49, 391.75, 392.64, 391.86, MLO +2011, 08, 40770, 2011.6219, 390.25, 391.76, 390.37, 391.92, 390.25, 391.76, MLO +2011, 09, 40801, 2011.7068, 389.05, 392.44, 388.70, 392.10, 389.05, 392.44, MLO +2011, 10, 40831, 2011.7890, 388.98, 392.48, 388.80, 392.28, 388.98, 392.48, MLO +2011, 11, 40862, 2011.8740, 390.30, 392.49, 390.30, 392.47, 390.30, 392.49, MLO +2011, 12, 40892, 2011.9562, 391.86, 392.75, 391.77, 392.65, 391.86, 392.75, MLO 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395.69, 395.63, 395.57, 395.49, 395.69, 395.63, MLO +2013, 02, 41320, 2013.1260, 396.94, 396.18, 396.49, 395.72, 396.94, 396.18, MLO +2013, 03, 41348, 2013.2027, 397.36, 395.86, 397.43, 395.92, 397.36, 395.86, MLO +2013, 04, 41379, 2013.2877, 398.44, 395.75, 398.84, 396.13, 398.44, 395.75, MLO +2013, 05, 41409, 2013.3699, 400.06, 396.76, 399.64, 396.33, 400.06, 396.76, MLO +2013, 06, 41440, 2013.4548, 398.96, 396.44, 399.03, 396.53, 398.96, 396.44, MLO +2013, 07, 41470, 2013.5370, 397.45, 396.67, 397.47, 396.72, 397.45, 396.67, MLO +2013, 08, 41501, 2013.6219, 395.48, 397.00, 395.36, 396.92, 395.48, 397.00, MLO +2013, 09, 41532, 2013.7068, 393.47, 396.88, 393.68, 397.10, 393.47, 396.88, MLO +2013, 10, 41562, 2013.7890, 393.77, 397.29, 393.78, 397.28, 393.77, 397.29, MLO +2013, 11, 41593, 2013.8740, 395.27, 397.48, 395.29, 397.47, 395.27, 397.48, MLO +2013, 12, 41623, 2013.9562, 396.90, 397.80, 396.76, 397.64, 396.90, 397.80, MLO +2014, 01, 41654, 2014.0411, 398.01, 397.94, 397.89, 397.81, 398.01, 397.94, MLO +2014, 02, 41685, 2014.1260, 398.18, 397.42, 398.76, 397.98, 398.18, 397.42, MLO +2014, 03, 41713, 2014.2027, 399.56, 398.06, 399.66, 398.14, 399.56, 398.06, MLO +2014, 04, 41744, 2014.2877, 401.43, 398.73, 401.03, 398.31, 401.43, 398.73, MLO +2014, 05, 41774, 2014.3699, 401.98, 398.67, 401.78, 398.46, 401.98, 398.67, MLO +2014, 06, 41805, 2014.4548, 401.41, 398.89, 401.12, 398.62, 401.41, 398.89, MLO +2014, 07, 41835, 2014.5370, 399.17, 398.38, 399.53, 398.78, 399.17, 398.38, MLO +2014, 08, 41866, 2014.6219, 397.30, 398.82, 397.38, 398.94, 397.30, 398.82, MLO +2014, 09, 41897, 2014.7068, 395.49, 398.90, 395.66, 399.10, 395.49, 398.90, MLO +2014, 10, 41927, 2014.7890, 395.74, 399.26, 395.75, 399.26, 395.74, 399.26, MLO +2014, 11, 41958, 2014.8740, 397.32, 399.52, 397.24, 399.43, 397.32, 399.52, MLO +2014, 12, 41988, 2014.9562, 398.89, 399.79, 398.71, 399.59, 398.89, 399.79, MLO +2015, 01, 42019, 2015.0411, 399.94, 399.88, 399.85, 399.77, 399.94, 399.88, MLO 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404.10, 403.33, 403.82, 403.04, 404.10, 403.33, MLO +2016, 03, 42444, 2016.2049, 404.79, 403.25, 404.88, 403.32, 404.79, 403.25, MLO +2016, 04, 42475, 2016.2896, 407.48, 404.74, 406.36, 403.60, 407.48, 404.74, MLO +2016, 05, 42505, 2016.3716, 407.60, 404.26, 407.18, 403.85, 407.60, 404.26, MLO +2016, 06, 42536, 2016.4563, 406.94, 404.43, 406.58, 404.09, 406.94, 404.43, MLO +2016, 07, 42566, 2016.5383, 404.43, 403.68, 405.04, 404.31, 404.43, 403.68, MLO +2016, 08, 42597, 2016.6230, 402.16, 403.72, 402.94, 404.54, 402.16, 403.72, MLO +2016, 09, 42628, 2016.7077, 400.94, 404.39, 401.29, 404.76, 400.94, 404.39, MLO +2016, 10, 42658, 2016.7896, 401.43, 404.97, 401.44, 404.97, 401.43, 404.97, MLO +2016, 11, 42689, 2016.8743, 403.57, 405.78, 402.99, 405.18, 403.57, 405.78, MLO +2016, 12, 42719, 2016.9563, 404.48, 405.39, 404.49, 405.37, 404.48, 405.39, MLO +2017, 01, 42750, 2017.0411, 406.00, 405.93, 405.64, 405.56, 406.00, 405.93, MLO +2017, 02, 42781, 2017.1260, 406.57, 405.80, 406.53, 405.75, 406.57, 405.80, MLO +2017, 03, 42809, 2017.2027, 406.99, 405.48, 407.44, 405.91, 406.99, 405.48, MLO +2017, 04, 42840, 2017.2877, 408.88, 406.16, 408.82, 406.08, 408.88, 406.16, MLO +2017, 05, 42870, 2017.3699, 409.84, 406.50, 409.58, 406.24, 409.84, 406.50, MLO +2017, 06, 42901, 2017.4548, 409.04, 406.50, 408.92, 406.40, 409.04, 406.50, MLO +2017, 07, 42931, 2017.5370, 407.14, 406.35, 407.31, 406.55, 407.14, 406.35, MLO +2017, 08, 42962, 2017.6219, 405.19, 406.73, 405.13, 406.71, 405.19, 406.73, MLO +2017, 09, 42993, 2017.7068, 403.20, 406.65, 403.40, 406.86, 403.20, 406.65, MLO +2017, 10, 43023, 2017.7890, 403.56, 407.12, 403.48, 407.01, 403.56, 407.12, MLO +2017, 11, 43054, 2017.8740, 405.10, 407.32, 404.97, 407.17, 405.10, 407.32, MLO +2017, 12, 43084, 2017.9562, 406.68, 407.59, 406.43, 407.32, 406.68, 407.59, MLO +2018, 01, 43115, 2018.0411, 407.98, 407.91, 407.56, 407.48, 407.98, 407.91, MLO +2018, 02, 43146, 2018.1260, 408.35, 407.58, 408.42, 407.64, 408.35, 407.58, MLO +2018, 03, 43174, 2018.2027, 409.21, 407.69, 409.32, 407.79, 409.21, 407.69, MLO +2018, 04, 43205, 2018.2877, 410.23, 407.50, 410.72, 407.97, 410.23, 407.50, MLO +2018, 05, 43235, 2018.3699, 411.23, 407.88, 411.51, 408.16, 411.23, 407.88, MLO +2018, 06, 43266, 2018.4548, 410.81, 408.26, 410.90, 408.38, 410.81, 408.26, MLO +2018, 07, 43296, 2018.5370, 408.83, 408.04, 409.36, 408.61, 408.83, 408.04, MLO +2018, 08, 43327, 2018.6219, 407.02, 408.56, 407.28, 408.86, 407.02, 408.56, MLO +2018, 09, 43358, 2018.7068, 405.53, 408.99, 405.65, 409.13, 405.53, 408.99, MLO +2018, 10, 43388, 2018.7890, 405.93, 409.49, 405.84, 409.39, 405.93, 409.49, MLO +2018, 11, 43419, 2018.8740, 408.05, 410.28, 407.46, 409.66, 408.05, 410.28, MLO +2018, 12, 43449, 2018.9562, 409.16, 410.07, 409.03, 409.92, 409.16, 410.07, MLO +2019, 01, 43480, 2019.0411, 410.85, 410.78, 410.26, 410.18, 410.85, 410.78, MLO +2019, 02, 43511, 2019.1260, 411.58, 410.81, 411.21, 410.42, 411.58, 410.81, MLO +2019, 03, 43539, 2019.2027, 411.90, 410.38, 412.18, 410.64, 411.90, 410.38, MLO +2019, 04, 43570, 2019.2877, 413.46, 410.73, 413.62, 410.87, 413.46, 410.73, MLO +2019, 05, 43600, 2019.3699, 414.75, 411.39, 414.44, 411.08, 414.75, 411.39, MLO +2019, 06, 43631, 2019.4548, 413.89, 411.34, 413.84, 411.30, 413.89, 411.34, MLO +2019, 07, 43661, 2019.5370, 411.79, 411.00, 412.28, 411.52, 411.79, 411.00, MLO +2019, 08, 43692, 2019.6219, 410.02, 411.57, 410.16, 411.74, 410.02, 411.57, MLO +2019, 09, 43723, 2019.7068, 408.48, 411.94, 408.48, 411.96, 408.48, 411.94, MLO +2019, 10, 43753, 2019.7890, 408.40, 411.97, 408.62, 412.18, 408.40, 411.97, MLO +2019, 11, 43784, 2019.8740, 410.16, 412.39, 410.19, 412.40, 410.16, 412.39, MLO +2019, 12, 43814, 2019.9562, 411.81, 412.72, 411.72, 412.61, 411.81, 412.72, MLO +2020, 01, 43845, 2020.0410, 413.32, 413.25, 412.91, 412.83, 413.32, 413.25, MLO +2020, 02, 43876, 2020.1257, 414.04, 413.27, 413.82, 413.04, 414.04, 413.27, MLO +2020, 03, 43905, 2020.2049, 414.44, 412.89, 414.81, 413.24, 414.44, 412.89, MLO +2020, 04, 43936, 2020.2896, 416.11, 413.33, 416.23, 413.44, 416.11, 413.33, MLO +2020, 05, 43966, 2020.3716, 417.16, 413.79, 417.00, 413.64, 417.16, 413.79, MLO +2020, 06, 43997, 2020.4563, 416.29, 413.76, 416.35, 413.84, 416.29, 413.76, MLO +2020, 07, 44027, 2020.5383, 414.43, 413.66, 414.76, 414.03, 414.43, 413.66, MLO +2020, 08, 44058, 2020.6230, 412.52, 414.10, 412.62, 414.23, 412.52, 414.10, MLO +2020, 09, 44089, 2020.7077, 411.17, 414.65, 410.93, 414.43, 411.17, 414.65, MLO +2020, 10, 44119, 2020.7896, 411.12, 414.70, 411.06, 414.62, 411.12, 414.70, MLO +2020, 11, 44150, 2020.8743, 412.89, 415.13, 412.59, 414.81, 412.89, 415.13, MLO +2020, 12, 44180, 2020.9563, 413.88, 414.80, 414.09, 414.98, 413.88, 414.80, MLO +2021, 01, 44211, 2021.0411, 415.15, 415.08, 415.24, 415.16, 415.15, 415.08, MLO +2021, 02, 44242, 2021.1260, 416.47, 415.69, 416.13, 415.34, 416.47, 415.69, MLO +2021, 03, 44270, 2021.2027, 417.10, 415.56, 417.04, 415.49, 417.10, 415.56, MLO 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420.01, 417.25, 420.47, 417.69, 420.01, 417.25, MLO +2022, 05, 44696, 2022.3699, 420.78, 417.39, 421.23, 417.84, 420.78, 417.39, MLO +2022, 06, 44727, 2022.4548, 420.68, 418.10, 420.56, 418.01, 420.68, 418.10, MLO +2022, 07, 44757, 2022.5370, 418.71, 417.91, 418.95, 418.18, 418.71, 417.91, MLO +2022, 08, 44788, 2022.6219, 416.75, 418.30, 416.77, 418.37, 416.75, 418.30, MLO +2022, 09, 44819, 2022.7068, 415.42, 418.91, 415.05, 418.56, 415.42, 418.91, MLO +2022, 10, 44849, 2022.7890, 415.31, 418.91, 415.16, 418.75, 415.31, 418.91, MLO +2022, 11, 44880, 2022.8740, 417.03, 419.28, 416.72, 418.95, 417.03, 419.28, MLO +2022, 12, 44910, 2022.9562, 418.46, 419.38, 418.25, 419.16, 418.46, 419.38, MKO +2023, 01, 44941, 2023.0411, 419.13, 419.06, 419.46, 419.38, 419.13, 419.06, MKO +2023, 02, 44972, 2023.1260, 420.33, 419.55, 420.40, 419.61, 420.33, 419.55, MKO +2023, 03, 45000, 2023.2027, 420.51, 418.97, 421.39, 419.83, 420.51, 418.97, MLO +2023, 04, 45031, 2023.2877, 422.73, 419.97, 422.88, 420.10, 422.73, 419.97, MLO +2023, 05, 45061, 2023.3699, 423.78, 420.38, 423.76, 420.37, 423.78, 420.38, MLO +2023, 06, 45092, 2023.4548, 423.39, 420.81, 423.22, 420.66, 423.39, 420.81, MLO +2023, 07, 45122, 2023.5370, 421.62, 420.82, 421.72, 420.95, 421.62, 420.82, MLO +2023, 08, 45153, 2023.6219, 419.56, 421.12, 419.66, 421.26, 419.56, 421.12, MLO +2023, 09, 45184, 2023.7068, 418.06, 421.56, 418.05, 421.57, 418.06, 421.56, MLO +2023, 10, 45214, 2023.7890, 418.41, 422.01, 418.28, 421.87, 418.41, 422.01, MLO +2023, 11, 45245, 2023.8740, 420.11, 422.37, 419.94, 422.18, 420.11, 422.37, MLO +2023, 12, 45275, 2023.9562, 421.65, 422.57, 421.57, 422.47, 421.65, 422.57, MLO +2024, 01, 45306, 2024.0410, 422.62, 422.55, 422.85, 422.77, 422.62, 422.55, MLO +2024, 02, 45337, 2024.1257, 424.34, 423.56, 423.85, 423.06, 424.34, 423.56, MLO +2024, 03, 45366, 2024.2049, 425.22, 423.65, 424.92, 423.33, 425.22, 423.65, MLO +2024, 04, 45397, 2024.2896, 426.30, 423.50, 426.43, 423.61, 426.30, 423.50, MLO 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