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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Statystyka zgodności modelu od 1850 r.:\n","BIAS= 0.17  K\n","RMSE= 0.21  K\n","Corr= 0.93\n","Statystyka zgodności modelu dla ostatnich 30 lat\n","BIAS= 0.11  K\n","RMSE= 0.15  K\n","Corr= 0.9\n","Statystyka temperatury równowagowej od 19850 r.:\n","BIAS= 0.24  K\n","RMSE= 0.27  K\n","Corr= 0.93\n"]}]}},"594b0d6241494186a22a2d316c2fb794":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9902cf85be2f49049ec7b47676a88db3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"2206268ec1ca4501a9dee546485ef869":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"2c80ade455a243e28c6eb38664680131":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}}}}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["f6331f840aec408cb39554dbcc926f06","c894c86a967947b38fa105c64e332e1e","4f35b4e6650943408db088e3887aefb1","594b0d6241494186a22a2d316c2fb794","9902cf85be2f49049ec7b47676a88db3","2206268ec1ca4501a9dee546485ef869","2c80ade455a243e28c6eb38664680131"]},"id":"NyOZVykBeb_3","executionInfo":{"status":"ok","timestamp":1761563451750,"user_tz":-60,"elapsed":33611,"user":{"displayName":"Krzysztof Markowicz","userId":"12798407371009570530"}},"outputId":"40a58421-181d-4157-c297-60f27d1a790d"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n","Kolumny w pliku:\n","['year', 'co2', 'ch4', 'n2o', 'other_wmghg', 'o3', 'h2o_stratospheric', 'contrails', 'aerosol-radiation_interactions', 'aerosol-cloud_interactions', 'bc_on_snow', 'land_use', 'volcanic', 'solar', 'nonco2_wmghg', 'aerosol', 'chapter2_other_anthro', 'total_anthropogenic', 'total_natural', 'total']\n","['Time', 'Anomaly (deg C)', 'Lower confidence limit (2.5%)', 'Upper confidence limit (97.5%)']\n","dict_keys(['SSP1_19', 'SSP1_26', 'SSP1_45', 'SSP1_70', 'SSP1_85'])\n","['Year', 'CO2', 'CH4', 'N2O', 'Halogens', 'O3', 'H2O STRAT 2', 'Contrail-cirrus', 'Aerosol radiation interactions', 'Aerosol cloud interactions', 'BC on snow', 'Land use', 'Volcanic', 'Solar', 'Total anthropogenic', 'Total natural', 'Total']\n","Climate Sensitivity   message: Optimization terminated successfully.\n","  success: True\n","   status: 0\n","      fun: 3.498869480183082\n","        x: [ 5.270e-01]\n","      nit: 4\n","      jac: [-2.086e-07]\n"," hess_inv: [[ 8.203e-03]]\n","     nfev: 17\n","     njev: 7\n"]},{"output_type":"stream","name":"stderr","text":["/tmp/ipython-input-277770407.py:97: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df['Year'] = df['Year'].astype(int)\n","/tmp/ipython-input-277770407.py:97: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df['Year'] = df['Year'].astype(int)\n","/tmp/ipython-input-277770407.py:97: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df['Year'] = df['Year'].astype(int)\n","/tmp/ipython-input-277770407.py:97: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df['Year'] = df['Year'].astype(int)\n","/tmp/ipython-input-277770407.py:97: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  df['Year'] = df['Year'].astype(int)\n","/tmp/ipython-input-277770407.py:123: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  T_mixed[i]=T_mixed[i-1]+dt/C_mixed*(F-Flux-T_mixed[i-1]/Lambda)\n","/tmp/ipython-input-277770407.py:124: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  Teq[i] = F*Lambda\n","/tmp/ipython-input-277770407.py:123: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  T_mixed[i]=T_mixed[i-1]+dt/C_mixed*(F-Flux-T_mixed[i-1]/Lambda)\n","/tmp/ipython-input-277770407.py:124: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  Teq[i] = F*Lambda\n","/tmp/ipython-input-277770407.py:123: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  T_mixed[i]=T_mixed[i-1]+dt/C_mixed*(F-Flux-T_mixed[i-1]/Lambda)\n","/tmp/ipython-input-277770407.py:124: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n","  Teq[i] = F*Lambda\n"]},{"output_type":"display_data","data":{"text/plain":["interactive(children=(Dropdown(description='Radiative Forcing:', options=('co2', 'ch4', 'n2o', 'other_wmghg', …"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f6331f840aec408cb39554dbcc926f06"}},"metadata":{}}],"source":["from os import remove\n","# Implementacja dwu-warstwowego modelu klimat dla aqua-planety\n","# Python w nakładce COLAB (sprawdzić Jupiter)\n","# Krzysztof Markowicz, kmark@igf.fuw.edu.pl\n","# Aktualizacja 19Oct2025\n","\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","from ipywidgets import interact, Dropdown\n","from scipy.optimize import minimize\n","\n","# --- Parametry modelu ---\n","Lambda = 0.67              # Climate sensitivity K/W/m2\n","Y=1/Lambda                 # Parametr sprzężenia zwrotnego\n","dens=1000                  # gęstość wody kg/m3\n","Cp=4218                    # ciepło właściwe dla wody\n","H_mixed = 100              # grubość warstwy mieszania [m]\n","H_deep  = 3900             # grubość warstwy głębinowej [m]\n","C_mixed = dens*Cp*H_mixed  # Pojemność cieplna [J/kg] dla warstwy mieszania\n","C_deep  = dens*Cp*H_deep   # Pojemność cieplna [J/kg] dla warstwy głębinowej\n","diffusivity = 0.0001       # Współczynik dyfuzji turbulencyjnej [m²/s] wymiana ciepła pomiędzy warstwami modelu\n","dt = 3600*24*365           # krok czasowy w [s]\n","scale =1                   # Parametr do skalowania wymuszania radiacyjnego\n","# ----Wczytanie danych obejmujących wymuszanie radiacyjne ---\n","from google.colab import drive\n","drive.mount('/content/drive')\n","plik = \"/content/drive/MyDrive/PracowniaGGG/AR6_ERF_1750-2019.csv\"\n","plikIPCC = \"/content/drive/MyDrive/PracowniaGGG/ScenariuszeIPCC.xlsx\"\n","RF = pd.read_csv(plik)\n","# --- 🔍 Sprawdź strukturę danych ---\n","print(\"Kolumny w pliku:\")\n","print(RF.columns.tolist())\n","# --- 📅 Wybierz lata i podstawowe składniki ---\n","kolumny = ['year', 'co2', 'ch4', 'n2o', 'other_wmghg', 'o3', 'h2o_stratospheric', 'contrails', 'aerosol-radiation_interactions', 'aerosol-cloud_interactions', 'bc_on_snow', 'land_use', 'volcanic', 'solar', 'nonco2_wmghg', 'aerosol', 'chapter2_other_anthro', 'total_anthropogenic', 'total_natural', 'total']\n","RF = RF[kolumny]\n","# --- 🧹 Ogranicz do interesującego zakresu (np. 1850–2019) ---\n","RF = RF[(RF['year'] >= 1850) & (RF['year'] <= 2019)]\n","\n","# ----  Dodatnie nowej kolumny dla systetycznych wymuszen radiacyjnych (np. wulkanicznych)\n","RF['volcanic_add']=0\n","# --- Parametry erupcji ---\n","eruption_year = 1982          # Rok erupcji wulkanu\n","eruption_strength = -2.0      # Maksymalne wymuszenie [W/m2]\n","tau = 5                       # Stała zaniku (lata)\n","def volcanic_forcing(year):\n","    if year < eruption_year:\n","        return 0\n","    t = year - eruption_year\n","    return eruption_strength * np.exp(-t / tau)\n","\n","RF[\"volcanic_add\"] = RF[\"year\"].apply(volcanic_forcing)\n","\n","# ---- Dodatnie scenariujsza usuniecia wszystkich gazów cieplarnianych poza parą wodną\n","RF['GHG_remove']=0\n","remove_year = 1950          # Rok erupcji wulkanu\n","remove_strength = -40.0      # Maksymalne wymuszenie [W/m2]\n","tau = 25                       # Stała zaniku (lata)\n","def GHGremove_forcing(year):\n","    if year < remove_year:\n","        return 0\n","    t = year - remove_year\n","    return remove_strength\n","\n","RF[\"GHG_remove\"] = RF[\"year\"].apply(GHGremove_forcing)\n","\n","# ----Wczytanie anomalii temperatury ---\n","plik = \"/content/drive/MyDrive/PracowniaGGG/HadCRUT.5.1.0.0.analysis.summary_series.global.annual.csv\"\n","Temp = pd.read_csv(plik)\n","# --- 🧹 Ogranicz do interesującego zakresu (np. 1850–2019) ---\n","print(Temp.columns.tolist())\n","Temp = Temp[(Temp['Time'] >= 1750) & (Temp['Time'] <= 2019)]\n","# Korekcja anomalii temperatury do pierwszych 30 lat\n","dT=Temp['Anomaly (deg C)']\n","dT=dT-np.mean(dT[:30])\n","dT_ave = pd.Series(dT).rolling(window=5, center=False).mean()\n","\n","# ------- Scenariusze SSP--------------------------------------\n","sheets = pd.read_excel(plikIPCC, sheet_name=None)  # None = wszystkie arkusze\n","print(sheets.keys())  # nazwy arkuszy\n","#Dostęp do konkretnej zakładki: 'SSP1_19', 'SSP1_26', 'SSP1_45', 'SSP_70', 'SSP1_85'\n","SSP19=sheets[\"SSP1_19\"]\n","SSP26=sheets[\"SSP1_26\"]\n","SSP45=sheets[\"SSP1_45\"]\n","SSP70=sheets[\"SSP1_70\"]\n","SSP85=sheets[\"SSP1_85\"]\n","\n","SSP19=SSP19[(SSP19['Year'] >= 2000) & (SSP19['Year'] <= 2100)]\n","SSP26=SSP26[(SSP19['Year'] >= 2000) & (SSP26['Year'] <= 2100)]\n","SSP45=SSP45[(SSP19['Year'] >= 2000) & (SSP45['Year'] <= 2100)]\n","SSP70=SSP70[(SSP19['Year'] >= 2000) & (SSP70['Year'] <= 2100)]\n","SSP85=SSP85[(SSP19['Year'] >= 2000) & (SSP85['Year'] <= 2100)]\n","print(SSP19.columns.tolist())\n","\n","def interpolate_annual(df):\n","    # Upewniamy się, że Year jest typu int\n","    df['Year'] = df['Year'].astype(int)\n","    # Ustawiamy Year jako indeks\n","    df = df.set_index('Year')\n","    # Dodajemy brakujące lata\n","    df = df.reindex(range(df.index.min(), df.index.max() + 1))\n","    # Interpolacja liniowa\n","    df = df.interpolate(method='linear')\n","    # Przywracamy Year jako kolumnę\n","    df = df.reset_index()\n","    return df\n","\n","SSP19=interpolate_annual(SSP19)\n","SSP26=interpolate_annual(SSP26)\n","SSP45=interpolate_annual(SSP45)\n","SSP70=interpolate_annual(SSP70)\n","SSP85=interpolate_annual(SSP85)\n","\n","# --- Model klimatu zapisany w funkcji---\n","def model(RFtype,Lambda):\n","  T_mixed = np.zeros(len(RF))\n","  T_deep  = np.zeros(len(RF))\n","  Teq= np.zeros(len(RF))\n","  for i in range(1, len(RF)):\n","    F = scale*RF[RFtype].iloc[i]  # W/m²\n","    Flux=diffusivity*dens*Cp*1/2*(T_mixed[i-1]-T_deep[i-1])/(H_mixed+H_deep)\n","    T_deep[i]=T_deep[i-1]+dt/C_deep*Flux\n","    T_mixed[i]=T_mixed[i-1]+dt/C_mixed*(F-Flux-T_mixed[i-1]/Lambda)\n","    Teq[i] = F*Lambda\n","  return T_mixed, T_deep, Teq\n","\n","# Funkcja do minimalizacji roznicy pomiedzy modelem a obserwacjami\n","def funmin(Lambda):\n","    T_pred,Ta,Tb = model('total', Lambda)\n","    return np.sum((T_pred - dT)**2)\n","\n","result = minimize(funmin, x0=[0.67])  #\n","print(\"Climate Sensitivity\",result)\n","# ---- Start modelu ---\n","#T_mixed, T_deep, Teq = model('total')\n","\n","forcing = RF.columns.tolist()[1:]\n","@interact(component = Dropdown(options=forcing, description='Radiative Forcing:'))\n","def plot_forcing(component):\n","  T_mixed, T_deep, Teq = model(component,Lambda)\n","  # --- Wykres wyników ---\n","  plt.figure(figsize=(12,5))\n","  plt.plot(RF['year'], T_mixed, label='Temperatura warstwy mieszania')\n","  plt.plot(RF['year'], T_deep, label='Temperatura warstwy głębinowej')\n","  plt.plot(Temp['Time'], dT, label='Temperatura na podstawie pomiarów',color='green', linestyle='--',)\n","  plt.plot(Temp['Time'], dT_ave, label='Temperatura na podstawie - średnia ruchoma pomiarów',color='green')\n","  plt.plot(RF['year'],Teq,label='Temperatura równowagowa warstwy mieszania')\n","  plt.xlabel('Rok')\n","  plt.ylabel('Anomalia temperatury [K]')\n","  plt.title('2-warstwowy model klimatu (aqua-planeta)')\n","  plt.legend()\n","  plt.grid(True)\n","  plt.show()\n","  # --- Liczenie BIAS, RMSE współ, korelacji Pearsona ---\n","  bias = round(np.mean(T_mixed - dT),2)\n","  rmse = round(np.sqrt(np.mean((T_mixed - dT)**2)),2)\n","  corr = np.corrcoef(T_mixed,dT)[0,1]\n","  print(\"Statystyka zgodności modelu od 1850 r.:\")\n","  print(\"BIAS=\",bias,\" K\")\n","  print(\"RMSE=\",rmse,\" K\")\n","  print(\"Corr=\",round(corr,2))\n","\n","  print(\"Statystyka zgodności modelu dla ostatnich 30 lat\")\n","  bias = round(np.mean(T_mixed[-30:] - dT[-30:]),2)\n","  rmse = round(np.sqrt(np.mean((T_mixed[-30:] - dT[-30:])**2)),2)\n","  corr = np.corrcoef(T_mixed[-30:],dT[-30:])[0,1]\n","  print(\"BIAS=\",bias,\" K\")\n","  print(\"RMSE=\",rmse,\" K\")\n","  print(\"Corr=\",round(corr,2))\n","\n","  bias = round(np.mean(Teq-dT),2)\n","  rmse = round(np.sqrt(np.mean((dT-Teq)**2)),2)\n","  corr = np.corrcoef(Teq, dT)[0, 1]\n","  print(\"Statystyka temperatury równowagowej od 19850 r.:\")\n","  print(\"BIAS=\",bias,\" K\")\n","  print(\"RMSE=\",rmse,\" K\")\n","  print(\"Corr=\",round(corr,2))\n","\n"]}]}