{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Exercises, inter- and intra-annual variability of precipitation\n", "> exercises\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: false\n", "- categories: [jupyter]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import relevant packages" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "#collapse-hide\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "from calendar import month_abbr\n", "import seaborn as sns\n", "sns.set(style=\"ticks\", font_scale=1.5)\n", "import urllib.request\n", "from pandas.plotting import register_matplotlib_converters\n", "register_matplotlib_converters()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## intra-annual variability\n", "\n", "Go to NOAA's National Centers for Environmental Information (NCEI) \n", "[Climate Data Online: Dataset Discovery](https://www.ncdc.noaa.gov/cdo-web/datasets)\n", "\n", "Find station codes in this [map](https://www.ncei.noaa.gov/maps/monthly/). On the left, click on the little wrench (🔧) next to \"Global Summary of the Month\", then click on \"identify\" on the panel that just opened, and click on a station (purple circle). You will see the station's name, it's ID, and the period of record. For example, for Ben-Gurion's Airport in Israel: \n", "BEN GURION, IS \n", "STATION ID: ISM00040180 \n", "Period of Record: 1951-01-01 to 2020-03-01\n", "\n", "You can download **daily** or **monthly** data for each station. Use the function below to download this data to your computer." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "#collapse-hide\n", "\n", "def download_data(station_name, station_code):\n", " url_daily = 'https://www.ncei.noaa.gov/data/global-historical-climatology-network-daily/access/'\n", " url_monthly = 'https://www.ncei.noaa.gov/data/gsom/access/'\n", " # download daily data - uncomment the next 2 lines to make this work\n", " # urllib.request.urlretrieve(url_daily + station_code + '.csv',\n", " # station_name + '_daily.csv')\n", " # download monthly data\n", " urllib.request.urlretrieve(url_monthly + station_code + '.csv',\n", " station_name + '_monthly.csv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, choose any station with a period of record longer than 30 years, and download its data: \n", "```python\n", "download_data('BEN_GURION', 'ISM00040180')\n", "```\n", "\n", "Load the data into a datafram, and before you continue with the analysis, plot the rainfall data, to see how it looks like. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "download_data('BEN_GURION', 'ISM00040180')\n", "df = pd.read_csv('BEN_GURION_monthly.csv', sep=\",\")\n", "# make 'DATE' the dataframe index\n", "df['DATE'] = pd.to_datetime(df['DATE'])\n", "df = df.set_index('DATE')\n", "plt.plot(df['PRCP'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It doesn't look great for Ben-Gurion airport, lots of missing data! You might need to choose another station... Download data for Beer Sheva, ID `IS000051690`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "download_data('BEER_SHEVA', 'IS000051690')\n", "df = pd.read_csv('BEER_SHEVA_monthly.csv', sep=\",\")\n", "# make 'DATE' the dataframe index\n", "df['DATE'] = pd.to_datetime(df['DATE'])\n", "df = df.set_index('DATE')\n", "plt.plot(df['PRCP'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That's much better!\n", "We need to aggregate all data from each month, so we can calculate monthly averages. How to do that?" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#collapse-hide\n", "\n", "# choose only the precipitation column\n", "df_month = df['PRCP']\n", "# calculate monthly mean\n", "monthly_mean = np.array([]) # empty array\n", "month_numbers = np.arange(1,13)\n", "month_names = [month_abbr[i] for i in month_numbers]\n", "\n", "for m in month_numbers: # cycle over months (1, 2, 3, etc)\n", " this_month_all_indices = (df_month.index.month == m) # indices in df_month belonging to month m\n", " this_month_mean = df_month[this_month_all_indices].mean() # this is the monthly mean\n", " monthly_mean = np.append(monthly_mean, this_month_mean) # append" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now it is time to create a new dataframe with the monthly means." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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monthly rainfall (mm)month namesmonth number
048.743158Jan1
137.347368Feb2
226.551579Mar3
39.038947Apr4
42.735789May5
50.013830Jun6
60.000000Jul7
70.002128Aug8
80.271277Sep9
96.669474Oct10
1021.850526Nov11
1141.786316Dec12
\n", "
" ], "text/plain": [ " monthly rainfall (mm) month names month number\n", "0 48.743158 Jan 1\n", "1 37.347368 Feb 2\n", "2 26.551579 Mar 3\n", "3 9.038947 Apr 4\n", "4 2.735789 May 5\n", "5 0.013830 Jun 6\n", "6 0.000000 Jul 7\n", "7 0.002128 Aug 8\n", "8 0.271277 Sep 9\n", "9 6.669474 Oct 10\n", "10 21.850526 Nov 11\n", "11 41.786316 Dec 12" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse-hide\n", "\n", "df_beersheva = pd.DataFrame({'monthly rainfall (mm)':monthly_mean,\n", " 'month names':month_names,\n", " 'month number':month_numbers\n", " })\n", "df_beersheva" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the data and see if it makes sense. Try to get a figure like this one." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "fig, ax = plt.subplots(figsize=(10,7))\n", "ax.bar(df_beersheva['month number'], df_beersheva['monthly rainfall (mm)'])\n", "ax.set(xlabel=\"months\",\n", " ylabel=\"monthly average (mm)\",\n", " title=\"Beer Sheva\",\n", " xticks=df_beersheva['month number'],\n", " xticklabels=df_beersheva['month names']);\n", "plt.savefig(\"hydrology_figures/beersheva_monthly_average.png\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's calculate now the Walsh and Lawler Seasonality Index. \n", "**Write a function** that receives a dataframe like the one we have just created, and returns the seasonality index. \n", "http://leddris.aegean.gr/ses-parameters/293-rainfall-seasonality.html#:~:text=Rainfall%20seasonality%20index%20is%20a,in%20relation%20to%20water%20availability\n", "\n", "$R=$ mean annual precipitation \n", "$m_i$ precipitation mean for month $i$ \n", "\n", "$$ SI = \\displaystyle \\frac{1}{R} \\sum_{n=1}^{n=12} \\left| m_i - \\frac{R}{12} \\right| $$\n", "\n", "| SI | Precipitation Regime |\n", "| --- | --- |\n", "| <0.19 | Precipitation spread throughout the year |\n", "| 0.20-0.39\t | Precipitation spread throughout the year, but with a definite wetter season |\n", "| 0.40-0.59\t | Rather seasonal with a short dry season |\n", "| 0.60-0.79\t | Seasonal |\n", "| 0.80-0.99\t | Marked seasonal with a long dry season |\n", "| 1.00-1.19\t\t | Most precipitation in < 3 months |" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Beer Sheva, SI = 0.97\n" ] } ], "source": [ "#collapse-hide\n", "\n", "def walsh_index(df):\n", " mi = df[\"monthly rainfall (mm)\"]\n", " R = df[\"monthly rainfall (mm)\"].sum()\n", " SI = np.sum(np.abs(mi - R/12)) / R\n", " return SI\n", "beersheva_SI = walsh_index(df_beersheva)\n", "print(f\"Beer Sheva, SI = {beersheva_SI:.2f}\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# interannual variability\n", "\n", "Plot monthly rainfall for your station. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10,7))\n", "ax1.plot(df['PRCP'])\n", "ax2.plot(df['PRCP']['2010-07-01':'2015-07-01'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "How to aggregate rainfall accoding to the hydrological year? We use the function `resample`.\n", "\n", "read more about resampling options: \n", "https://pandas.pydata.org/pandas-docs/version/0.12.0/timeseries.html#offset-aliases\n", "\n", "also, annual resampling can be anchored to the end of specific months:\n", "https://pandas.pydata.org/pandas-docs/version/0.12.0/timeseries.html#anchored-offsets" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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rain (mm)
DATE
1922-09-30136.6
1923-09-30144.5
1924-09-30130.4
1925-09-30165.3
1926-09-30188.7
......
2012-09-30145.7
2013-09-30175.3
2014-09-30259.2
2015-09-30249.3
2016-09-30257.6
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95 rows × 1 columns

\n", "
" ], "text/plain": [ " rain (mm)\n", "DATE \n", "1922-09-30 136.6\n", "1923-09-30 144.5\n", "1924-09-30 130.4\n", "1925-09-30 165.3\n", "1926-09-30 188.7\n", "... ...\n", "2012-09-30 145.7\n", "2013-09-30 175.3\n", "2014-09-30 259.2\n", "2015-09-30 249.3\n", "2016-09-30 257.6\n", "\n", "[95 rows x 1 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse-hide\n", "\n", "# annual frequency, anchored 31 December\n", "df_year_all = df['PRCP'].resample('A').sum().to_frame()\n", "# annual frequency, anchored 01 January\n", "df_year_all = df['PRCP'].resample('AS').sum().to_frame()\n", "# annual frequency, anchored end of September\n", "df_year_all = df['PRCP'].resample('A-SEP').sum().to_frame()\n", "# rename 'PRCP' column to 'rain (mm)'\n", "df_year_all.columns = ['rain (mm)']\n", "df_year_all" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You might need to exclude the first or the last line, since their data might have less that 12 months. For example:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
rain (mm)
DATE
1923-09-30144.5
1924-09-30130.4
1925-09-30165.3
1926-09-30188.7
1927-09-30130.2
......
2011-09-30151.6
2012-09-30145.7
2013-09-30175.3
2014-09-30259.2
2015-09-30249.3
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93 rows × 1 columns

\n", "
" ], "text/plain": [ " rain (mm)\n", "DATE \n", "1923-09-30 144.5\n", "1924-09-30 130.4\n", "1925-09-30 165.3\n", "1926-09-30 188.7\n", "1927-09-30 130.2\n", "... ...\n", "2011-09-30 151.6\n", "2012-09-30 145.7\n", "2013-09-30 175.3\n", "2014-09-30 259.2\n", "2015-09-30 249.3\n", "\n", "[93 rows x 1 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#collapse-hide\n", "\n", "# exclude 1st row\n", "df_year = df_year_all.iloc[1:]\n", "# exclude last row\n", "df_year = df_year_all.iloc[:-1]\n", "# exclude both 1st and last rows\n", "df_year = df_year_all.iloc[1:-1]\n", "df_year" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Calculate the average annual rainfall. Plot annual rainfall for the whole range, together with the average. You should get something like this:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/yairmau/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_axes.py:2127: FutureWarning: Addition/subtraction of integers and integer-arrays to Timestamp is deprecated, will be removed in a future version. Instead of adding/subtracting `n`, use `n * self.freq`\n", " dx = [convert(x0 + ddx) - x for ddx in dx]\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "fig, ax = plt.subplots(figsize=(10,7))\n", "\n", "# plot YEARLY precipitation\n", "ax.bar(df_year.index, df_year['rain (mm)'],\n", " width=365, align='edge', color=\"tab:blue\")\n", "\n", "# plot mean\n", "rain_mean = df_year['rain (mm)'].mean()\n", "ax.plot(ax.get_xlim(), [rain_mean]*2, linewidth=3, color=\"tab:orange\")\n", "ax.set(xlabel=\"date\",\n", " ylabel=\"yearly rainfall (mm)\",\n", " title=f\"Beer Sheva, mean = {rain_mean:.0f} mm\");\n", "# save figure\n", "plt.savefig(\"hydrology_figures/beersheva_yearly_rainfall_1923_2016.png\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot a histogram of annual rainfall, with the mean and standard deviation. Calculate the coefficient of variation. Try to plot something like this:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "fig, ax = plt.subplots(figsize=(10,7))\n", "\n", "# calculate mean and standard deviation\n", "rain_mean = df_year['rain (mm)'].mean()\n", "rain_std = df_year['rain (mm)'].std()\n", "\n", "# plot histogram\n", "b = np.arange(0, 401, 50) # bins from 0 to 400, width = 50\n", "ax.hist(df_year['rain (mm)'], bins=b)\n", "\n", "# plot vertical lines with mean, std, etc\n", "ylim = np.array(ax.get_ylim())\n", "ylim[1] = ylim[1]*1.1\n", "ax.plot([rain_mean]*2, ylim, linewidth=3, color=\"tab:orange\")\n", "ax.plot([rain_mean+rain_std]*2, ylim, linewidth=3, linestyle=\"--\", color=\"tab:olive\")\n", "ax.plot([rain_mean-rain_std]*2, ylim, linewidth=3, linestyle=\"--\", color=\"tab:olive\")\n", "ax.set(ylim=ylim,\n", " xlabel=\"annual rainfall (mm)\",\n", " ylabel=\"number of years\",\n", " title=f\"Beer Sheva, 1922–2016. Mean={rain_mean:.0f} mm, STD={rain_std:.0f} mm\")\n", "ax.text(300, 25, f\"CV = {rain_std/rain_mean:.2f}\")\n", "plt.savefig(\"histogram_beersheva.png\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Calculate the mean annual rainfall for various 30-year intervals" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#collapse-hide\n", "\n", "####### the hard way #######\n", "# fig, ax = plt.subplots(figsize=(10,7))\n", "\n", "# mean_30_59 = df_year.loc['1930-09-30':'1959-09-01','rain (mm)'].mean()\n", "# mean_40_69 = df_year.loc['1940-09-30':'1969-09-01','rain (mm)'].mean()\n", "# mean_50_79 = df_year.loc['1950-09-30':'1979-09-01','rain (mm)'].mean()\n", "# mean_60_89 = df_year.loc['1960-09-30':'1989-09-01','rain (mm)'].mean()\n", "# mean_70_99 = df_year.loc['1970-09-30':'1999-09-01','rain (mm)'].mean()\n", "# mean_80_09 = df_year.loc['1980-09-30':'2009-09-01','rain (mm)'].mean()\n", "\n", "# ax.plot([mean_30_59,\n", "# mean_40_69,\n", "# mean_50_79,\n", "# mean_60_89,\n", "# mean_70_99,\n", "# mean_80_09])\n", "\n", "\n", "####### the easy way #######\n", "\n", "fig, ax = plt.subplots(figsize=(10,7))\n", "\n", "# use list comprehension\n", "windows = [[x, x+29] for x in [1930,1940,1950,1960,1970,1980]]\n", "mean = [df_year.loc[f'{w[0]:d}-09-30':f'{w[1]:d}-09-01','rain (mm)'].mean() for w in windows]\n", "ax.plot(mean)\n", "ax.set(xticks=np.arange(len(mean)),\n", " xticklabels=[str(w) for w in windows],\n", " ylabel=\"window average (mm)\"\n", " );" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## homework\n", "\n", "1. Download both daily and monthly data for London (LONDON HEATHROW, ID: UKM00003772). You should be aware that 'PRCP' for monthly data is in millimeters, while 'PRCP' for daily data is in **tens of millimiters**.\n", "2. Aggregate daily data into monthly intervals using resample('MS').sum(). 'MS' means that the sum of all days in the month will be stored in the first day of the month. Supposedly both datasets are equal now.\n", "3. Calculate the average annual rainfall, using each of these datasets.\n", "4. Why is there such a big difference?" ] }, { "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": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 }