{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Ice Out Dates" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Records of 'ice-out' and 'ice-in' days on selected Minnesota lakes are available from the Minnesota DNR at their web site [Ice Out Dates](http://www.dnr.state.mn.us/ice_out/index.html). The customs for determining ice-out and ice-in vary from lake to lake, so it's difficult to compare across different lakes. The DNR does attempt to use the same observers and criteria for each lake so longitudinal data series can provide useful insights." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initialization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load Python Modules" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [], "source": [ "# Display graphics inline with the notebook\n", "%matplotlib inline\n", "\n", "# Standard Python modules\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import os\n", "import datetime\n", "import seaborn as sns\n", "sns.set_context('talk')\n", "\n", "# Statistics modules\n", "import statsmodels.api as sm" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [], "source": [ "# Directory where data files are stored\n", "dir = \"../data/\"\n", "img = \"../images/\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Rainy Lake" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "data": { "text/html": [ "
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DOYn
ice out date
1930-05-031230
1931-05-051251
1932-05-071282
1933-05-061263
1934-05-061264
\n", "
" ], "text/plain": [ " DOY n\n", "ice out date \n", "1930-05-03 123 0\n", "1931-05-05 125 1\n", "1932-05-07 128 2\n", "1933-05-06 126 3\n", "1934-05-06 126 4" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Read .csv file\n", "RL_ICEOUT = pd.read_csv(dir + 'IceOut_RL.txt',index_col=0,parse_dates=True,skiprows=1);\n", "\n", "# Remove duplicated data\n", "RL_ICEOUT = RL_ICEOUT[RL_ICEOUT[' source']=='MNDNR-SCO']\n", "\n", "# Drop unneeded columns\n", "RL_ICEOUT.drop(' source',1,inplace=True)\n", "RL_ICEOUT.drop(' comments',1,inplace=True)\n", "\n", "# Create a new independent variable that counts years from the first date in the data set\n", "RL_ICEOUT['DOY'] = RL_ICEOUT.index.dayofyear\n", "RL_ICEOUT['n'] = RL_ICEOUT.index.year - RL_ICEOUT.index.year[0]\n", "\n", "RL_ICEOUT.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "const 126.906175\n", "n -0.081787\n", "dtype: float64\n", " OLS Regression Results \n", "==============================================================================\n", "Dep. Variable: DOY R-squared: 0.055\n", "Model: OLS Adj. R-squared: 0.044\n", "Method: Least Squares F-statistic: 4.913\n", "Date: Fri, 23 Jun 2017 Prob (F-statistic): 0.0294\n", "Time: 08:11:11 Log-Likelihood: -305.00\n", "No. Observations: 86 AIC: 614.0\n", "Df Residuals: 84 BIC: 618.9\n", "Df Model: 1 \n", "Covariance Type: nonrobust \n", "==============================================================================\n", " coef std err t P>|t| [95.0% Conf. Int.]\n", "------------------------------------------------------------------------------\n", "const 126.9062 1.816 69.881 0.000 123.295 130.518\n", "n -0.0818 0.037 -2.217 0.029 -0.155 -0.008\n", "==============================================================================\n", "Omnibus: 2.212 Durbin-Watson: 2.108\n", "Prob(Omnibus): 0.331 Jarque-Bera (JB): 1.576\n", "Skew: -0.290 Prob(JB): 0.455\n", "Kurtosis: 3.321 Cond. No. 97.6\n", "==============================================================================\n", "\n", "Warnings:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" ] }, { "data": { "image/png": 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c93EHs1WjGiQwCaKJOEMbfLEIBWaGg8kYIwfTI24HszVPJsTUodDkFwqRtyZ7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\nIAYG+7UMpk8SbA3k1GDVMGg9xxxMv6nJR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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# regression\n", "\n", "y = RL_ICEOUT['DOY']\n", "x = RL_ICEOUT['n']\n", "\n", "def regress(y,x):\n", " model = sm.OLS(y,sm.add_constant(x))\n", " results = model.fit()\n", " print(results.params)\n", " print(results.summary())\n", " \n", " plt.plot(y.index.year,y)\n", " plt.plot(y.index.year,results.fittedvalues)\n", " \n", " plt.yticks([92,102,112,122,132,142],\n", " ['Apr 1','Apr 10','Apr 20','May 1','May 10','May 20']);\n", "\n", " ax = plt.gca()\n", "\n", " # standard deviation of the residuals\n", " Sy = np.sqrt(np.sum(results.resid**2)/(len(x)-2))\n", " \n", " # plot the prediction interval (i.e., confidence interval for any particular date)\n", " from scipy import stats\n", " t = stats.t.ppf(1-0.025,df=len(x)-results.df_model-1)\n", " conf = t*Sy*np.sqrt(1 + 1.0/len(x) + (x-x.mean())**2/np.sum((x-x.mean())**2))\n", " ax.fill_between(y.index.year,results.fittedvalues-conf,results.fittedvalues+conf,alpha=0.2)\n", "\n", " # plot confidence interval of the regression\n", " conf = t*Sy*np.sqrt(1.0/len(x) + (x-x.mean())**2/np.sum((x-x.mean())**2))\n", " ax.fill_between(y.index.year,results.fittedvalues-conf,results.fittedvalues+conf,alpha=0.4)\n", "\n", " plt.xlabel('Year')\n", " plt.ylabel('Day of Year')\n", " \n", "regress(y,x)\n", "\n", "# add labels\n", "plt.title('Rainy Lake Ice Out')\n", "\n", "fname = '../images/IceOut_RL.png'\n", "plt.savefig(fname)\n", "!convert $fname -trim $fname\n", "\n", "# get current axis for use in plotting data from other lakes\n", "rl = plt.gca()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The relatively long data series for Rainy Lake provides a statistically signficant trend line. The ice-out day is consistently getting earlier and, at the some time, becoming more variable. Thus in the last few years, Rainy Lake has set earliest ice-out records and nearly broken lastest ice-out records." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Kabetogoma Lake" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "const 120.137931\n", "n -0.203339\n", "dtype: float64\n", " OLS Regression Results \n", "==============================================================================\n", "Dep. Variable: DOY R-squared: 0.024\n", "Model: OLS Adj. R-squared: -0.014\n", "Method: Least Squares F-statistic: 0.6273\n", "Date: Fri, 23 Jun 2017 Prob (F-statistic): 0.436\n", "Time: 08:11:14 Log-Likelihood: -105.77\n", "No. Observations: 28 AIC: 215.5\n", "Df Residuals: 26 BIC: 218.2\n", "Df Model: 1 \n", "Covariance Type: nonrobust \n", "==============================================================================\n", " coef std err t P>|t| [95.0% Conf. Int.]\n", "------------------------------------------------------------------------------\n", "const 120.1379 4.039 29.744 0.000 111.835 128.440\n", "n -0.2033 0.257 -0.792 0.436 -0.731 0.324\n", "==============================================================================\n", "Omnibus: 0.502 Durbin-Watson: 2.221\n", "Prob(Omnibus): 0.778 Jarque-Bera (JB): 0.044\n", "Skew: -0.076 Prob(JB): 0.978\n", "Kurtosis: 3.120 Cond. No. 30.7\n", "==============================================================================\n", "\n", "Warnings:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" ] }, { "data": { "image/png": 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CZecNRH62A0IAf928D5VObxe3sHkMmERERCkkNMlHCU3y4RjMpBRewQQAu03B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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Read .csv file\n", "KL_ICEOUT = pd.read_csv(dir + 'IceOut_KL.txt',index_col=0,parse_dates=True,skiprows=1)\n", "\n", "# Remove duplicated data\n", "KL_ICEOUT = KL_ICEOUT[KL_ICEOUT[' source']=='MNDNR-SCO']\n", "\n", "# Drop unneeded columns\n", "KL_ICEOUT.drop(' source',1,inplace=True)\n", "KL_ICEOUT.drop(' comments',1,inplace=True)\n", "\n", "# Determine Trend Line\n", "KL_ICEOUT['DOY'] = KL_ICEOUT.index.dayofyear\n", "KL_ICEOUT['n'] = pd.Series(np.arange(0, len(KL_ICEOUT)), index=KL_ICEOUT.index)\n", "\n", "y = KL_ICEOUT['DOY']\n", "x = KL_ICEOUT['n']\n", "\n", "regress(y,x)\n", "\n", "plt.title('Kabetogoma Lake Ice Out')\n", "plt.ylabel('Day of Year')\n", "plt.xlabel('Year')\n", "\n", "plt.axis(rl.axis())\n", "\n", "fname = img + 'IceOut_KL.png'\n", "\n", "plt.savefig(fname)\n", "!convert $fname -trim $fname\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Lake of the Woods" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "const 118.825123\n", "n 0.118774\n", "dtype: float64\n", " OLS Regression Results \n", "==============================================================================\n", "Dep. Variable: DOY R-squared: 0.009\n", "Model: OLS Adj. R-squared: -0.029\n", "Method: Least Squares F-statistic: 0.2272\n", "Date: Fri, 23 Jun 2017 Prob (F-statistic): 0.638\n", "Time: 08:11:18 Log-Likelihood: -104.93\n", "No. Observations: 28 AIC: 213.9\n", "Df Residuals: 26 BIC: 216.5\n", "Df Model: 1 \n", "Covariance Type: nonrobust \n", "==============================================================================\n", " coef std err t P>|t| [95.0% Conf. Int.]\n", "------------------------------------------------------------------------------\n", "const 118.8251 3.920 30.313 0.000 110.768 126.883\n", "n 0.1188 0.249 0.477 0.638 -0.393 0.631\n", "==============================================================================\n", "Omnibus: 1.681 Durbin-Watson: 2.261\n", "Prob(Omnibus): 0.431 Jarque-Bera (JB): 1.136\n", "Skew: -0.492 Prob(JB): 0.567\n", "Kurtosis: 2.936 Cond. No. 30.7\n", "==============================================================================\n", "\n", "Warnings:\n", "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n" ] }, { "data": { "image/png": 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IiFKEt5UKJjf6pKZAwDRHCJjcRU5ERESpwKhgGi1uAFYwU5UxRR6xgtk0dc4K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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Read .csv file\n", "LOW_ICEOUT = pd.read_csv(dir + 'IceOut_LOW.txt',index_col=0,parse_dates=True,skiprows=1);\n", "\n", "# Remove duplicated data\n", "LOW_ICEOUT = LOW_ICEOUT[LOW_ICEOUT[' source']=='MNDNR-SCO']\n", "\n", "# Drop unneeded columns\n", "LOW_ICEOUT.drop(' source',1,inplace=True)\n", "LOW_ICEOUT.drop(' comments',1,inplace=True)\n", "\n", "# Determine Trend Line\n", "LOW_ICEOUT['DOY'] = LOW_ICEOUT.index.dayofyear\n", "LOW_ICEOUT['n'] = pd.Series(np.arange(0, len(LOW_ICEOUT)), index=LOW_ICEOUT.index)\n", "\n", "y = LOW_ICEOUT['DOY']\n", "x = LOW_ICEOUT['n']\n", "\n", "regress(y,x)\n", "\n", "plt.title('Lake of the Woods Ice Out')\n", "plt.ylabel('Day of Year')\n", "plt.xlabel('Year')\n", "plt.axis(rl.axis())\n", "\n", "fname = img + 'IceOut_LOW.png'\n", "\n", "plt.savefig(fname)\n", "!convert $fname -trim $fname" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }