{ "cells": [ { "cell_type": "markdown", "id": "small-pollution", "metadata": {}, "source": [ "# Model output (part 2)\n", "-----\n", "J. Potemra\n", "\n", "April 2022\n", "\n", "-----" ] }, { "cell_type": "markdown", "id": "45a3a7f5-d32e-4391-a31a-cf61cb57cdfc", "metadata": {}, "source": [ "In this notebook we will have a look at various model output. These include forecast models run operationally (typically daily), reanalysis (run in \"hindcast\"), and climate models." ] }, { "cell_type": "markdown", "id": "ed3c9ab0-cc33-4a36-a6e4-66ac898ca9d4", "metadata": {}, "source": [ "Last time looked at short-term (operational) wave forecast and compared to buoy (1) and did a difference in projected surface air temperature from a coupled climate model (2).\n", "\n", "We will continue this investigation into model output." ] }, { "cell_type": "markdown", "id": "innocent-navigator", "metadata": {}, "source": [ "## 3. Investigating model output: sea level \n", "\n", "In this example we will have a look at output from a coupled climate model and compare it to tide gauge data. Recall that there are different types of IPCC model runs, and we will use the historical run to see about past (up to \"present\") and then different experiments to see about the future." ] }, { "cell_type": "markdown", "id": "brazilian-sunset", "metadata": {}, "source": [ "### Climate model output\n", "\n", "The APDRC (http://apdrc.soest.hawaii.edu) hosts a variety of climate model output from the CMIP-5 set of experiments. Here we will look at the output from the GFDL model, and compare the historical run with the RCP-8.5 experiment." ] }, { "cell_type": "markdown", "id": "residential-mistake", "metadata": {}, "source": [ "### 3A. Read in needed packages" ] }, { "cell_type": "code", "execution_count": 1, "id": "electric-teddy", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from matplotlib import cm\n", "import netCDF4 as nc\n", "import pandas as pd\n", "import cartopy.crs as ccrs\n", "import cartopy.feature as cf\n", "import matplotlib.ticker as mticker\n", "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", "import datetime as dt" ] }, { "cell_type": "markdown", "id": "ecological-occasion", "metadata": {}, "source": [ "### 3B. Access data from the model" ] }, { "cell_type": "code", "execution_count": 3, "id": "solved-research", "metadata": {}, "outputs": [], "source": [ "URL1 = 'http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/historical/zos/GFDL-CM3_r1i1p1_1'\n", "zos_historical = nc.Dataset(URL1)\n", "\n", "URL2 = 'http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp85/zos/GFDL-CM3_r1i1p1_1'\n", "zos_rcp85 = nc.Dataset(URL2)" ] }, { "cell_type": "markdown", "id": "superior-slave", "metadata": {}, "source": [ "### 3C. Extract lat/lon/time from model(s)" ] }, { "cell_type": "code", "execution_count": 4, "id": "9b2c2c26-e026-4f41-b0af-f0d305fcc707", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\n", "root group (NETCDF3_CLASSIC data model, file format DAP2):\n", " title: CMIP5 Monthly historical ocean_gridded GFDL-CM3 r1i1p1 zos interpolated to 1-degree grid\n", " Conventions: COARDS\n", "GrADS\n", " dataType: Grid\n", " documentation: http://apdrc.soest.hawaii.edu/datadoc/cmip5.php\n", " history: Fri Jan 28 10:59:17 HST 2022 : imported by GrADS Data Server 2.0\n", " dimensions(sizes): lat(180), lon(360), time(1752)\n", " variables(dimensions): float64 time(time), float64 lat(lat), float64 lon(lon), float32 zos(time, lat, lon)\n", " groups: " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "zos_historical" ] }, { "cell_type": "code", "execution_count": 5, "id": "indie-remove", "metadata": {}, "outputs": [], "source": [ "lat_hist = zos_historical.variables['lat'][:] \n", "lon_hist = zos_historical.variables['lon'][:]\n", "time_hist = zos_historical.variables['time'][:]\n", "\n", "lat_rcp = zos_rcp85.variables['lat'][:] \n", "lon_rcp = zos_rcp85.variables['lon'][:]\n", "time_rcp = zos_rcp85.variables['time'][:]" ] }, { "cell_type": "code", "execution_count": 6, "id": "favorite-vietnam", "metadata": {}, "outputs": [], "source": [ "date_hist = pd.to_datetime(time_hist-time_hist[0], origin = '01-01-1860', unit='D')\n", "date_rcp = pd.to_datetime(time_rcp-time_rcp[0], origin = '01-01-2006', unit='D')" ] }, { "cell_type": "code", "execution_count": 8, "id": "bd663440-f3d5-4f0b-b8e7-9795e6c1828f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(Timestamp('2006-01-01 00:00:00'), Timestamp('2100-12-01 00:00:00'))" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "date_rcp[0],date_rcp[-1]" ] }, { "cell_type": "markdown", "id": "suspended-depth", "metadata": {}, "source": [ "### 3D. Find a single lat/lon point and extract output" ] }, { "cell_type": "code", "execution_count": 9, "id": "electronic-retrieval", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "81 179\n" ] } ], "source": [ "# Here we pick a point to do our comparison\n", "# Tuvalu (Western Pacific)\n", "latitude = -8.525\n", "longitude = 179.195\n", "# Honolulu\n", "#latitude = 20.0\n", "#longitude = -158.0\n", "\n", "J = np.argmin(np.abs( lat_hist - latitude ) )\n", "I = np.argmin(np.abs( lon_hist - longitude ) )\n", "print(J,I)" ] }, { "cell_type": "code", "execution_count": 10, "id": "3449c032-3049-41f2-8c63-4d3275c17296", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(-8.5, 179.5)" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "lat_hist[81],lon_hist[179]" ] }, { "cell_type": "code", "execution_count": 11, "id": "extensive-particle", "metadata": {}, "outputs": [], "source": [ "zos_hist = zos_historical.variables['zos'][:,J,I]\n", "zos_rcp = zos_rcp85.variables['zos'][:,J,I]" ] }, { "cell_type": "code", "execution_count": 12, "id": "broad-experience", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(date_hist,zos_hist)\n", "plt.plot(date_rcp,zos_rcp);" ] }, { "cell_type": "markdown", "id": "random-revision", "metadata": {}, "source": [ "### 3E. Fit with running mean (_i.e._, smoothing the data)\n", "\n", "The raw data plot in this case is somewhat noisy since we are plotting monthly means over long (200 year) record. We saw this with the tide gauge data as well, only in that case it was hourly data plotted over several years. In that case, we performed a monthly mean to smooth out the data. Now, we will do a __running mean__ or __moving average__ to smooth out the data. The basic idea is to compute the mean over a certain interval, or window, then slide this window progressively throught the data.\n", "\n", "In mathematical terms, if we have a variable, $sl$ (_e.g._, sea level), measured at times $i$, for $N$ number of times, the mean ($\\langle sl \\rangle$) can be represented as:\n", "\n", "\\begin{eqnarray}\n", " \\langle sl \\rangle = \\frac{1}{N} \\sum_{i=1}^{i=N} sl_{i}\n", "\\end{eqnarray}\n", "\n", "For a running mean, we compute the mean over an equal number of data points on either side of a central value. For example, the mean over a interval of $n$ points where each value is $sl(k)$ would be taken from $n-k+2$ to $n+1$. The _next_ mean would then be computing using the _prev_ one:\n", "\n", "\n", "\\begin{align}\n", " \\langle sl \\rangle_{k, next} &= \\frac{1}{k} \\sum_{i=n-k+2}^{n+1} sl_{i} \\\\\n", " &= \\frac{1}{k} \\Big( \\underbrace{ sl_{n-k+2} + sl_{n-k+3} + \\dots + sl_{n} + sl_{n+1} }_{ \\sum_{i=n-k+2}^{n+1} sl_{i} } + \\underbrace{ sl_{n-k+1} - sl_{n-k+1} }_{= 0} \\Big) \\\\\n", " &= \\underbrace{ \\frac{1}{k} \\Big( sl_{n-k+1} + sl_{n-k+2} + \\dots + sl_{n} \\Big) }_{= \\langle sl \\rangle_{k, prev}} - \\frac{sl_{n-k+1}}{k} + \\frac{sl_{n+1}}{k} \\\\\n", " &= \\langle sl \\rangle_{k, prev} + \\frac{1}{k} \\Big( sl_{n+1} - sl_{n-k+1} \\Big)\n", "\\end{align}\n", "\n", "\n", "\n", "As it turns out, as easy way to do this is via __covolution__. Here, we convolve the original time-series ($sl$) with a signal that is a window of a specific length $w$ (aka, a _box car_). The discrete convolution operation is defined as\n", "\n", "\\begin{eqnarray}\n", "(sl * w)_{n} = \\sum_{m = -n}^{n} sl_{m} w_{n-m}\n", "\\end{eqnarray}\n", "\n", "Finally, numpy has a function called \"convolve\" that will do all the work for us!" ] }, { "cell_type": "code", "execution_count": 13, "id": "suitable-sussex", "metadata": {}, "outputs": [], "source": [ "# Define our own function that convolves the original data\n", "# (rawdata) and a boxcar of a specific width (window_size)\n", "def movingaverage(rawdata, window_size):\n", " window = np.ones(int(window_size))/float(window_size)\n", " return np.convolve( rawdata, window, 'valid' )" ] }, { "cell_type": "code", "execution_count": 16, "id": "proved-artist", "metadata": {}, "outputs": [], "source": [ "zos_hist_filt = movingaverage(zos_hist,60)\n", "zos_rcp_filt = movingaverage(zos_rcp,60)\n", "\n", "# Note we need to \"pad\" the output with NaN's since\n", "# the running average will be missing some points\n", "zos_hist_filt = np.append(zos_hist_filt,[np.nan]*59)\n", "zos_rcp_filt = np.append(zos_rcp_filt,[np.nan]*59)" ] }, { "cell_type": "code", "execution_count": 17, "id": "1f4d42d5-8a61-4400-96d8-4cdfe04e4298", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1752, 1752)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(zos_hist_filt),len(zos_hist)" ] }, { "cell_type": "code", "execution_count": 18, "id": "mediterranean-battle", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(date_hist,zos_hist)\n", "plt.plot(date_rcp,zos_rcp)\n", "plt.plot(date_hist,zos_hist_filt)\n", "plt.plot(date_rcp,zos_rcp_filt)" ] }, { "cell_type": "markdown", "id": "complex-nitrogen", "metadata": {}, "source": [ "### 3F. Access data from the tide gauge" ] }, { "cell_type": "code", "execution_count": 19, "id": "polished-newsletter", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "tideg = pd.read_csv(\"http://uhslc.soest.hawaii.edu/data/csv/fast/hourly/h025.csv\", header=None)" ] }, { "cell_type": "code", "execution_count": 20, "id": "anticipated-tyler", "metadata": {}, "outputs": [], "source": [ "sl_tide = tideg[4]\n", "date = pd.to_datetime(tideg.index*3600.0, origin = '03-24-1993', unit='s')" ] }, { "cell_type": "code", "execution_count": 21, "id": "spare-stockholm", "metadata": {}, "outputs": [], "source": [ "sl_tide[sl_tide < 0] = np.nan" ] }, { "cell_type": "code", "execution_count": 22, "id": "brief-collection", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(9131.0, 13148.0)" ] }, "execution_count": 22, "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": [ "plt.plot(date,sl_tide-sl_tide.mean())\n", "plt.plot(date_hist,1000*(zos_hist-zos_hist.mean()))\n", "plt.xlim([dt.datetime(1995, 1, 1), dt.datetime(2005, 12, 31)])" ] }, { "cell_type": "code", "execution_count": 23, "id": "disciplinary-weight", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(9131.0, 13148.0)" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# function \"movingaverage\" needs an input time-series and window width\n", "# here the width is 24*30\n", "sl2_tide = movingaverage(sl_tide,24*30)\n", "sl2_tide = np.append(sl2_tide,[np.nan]*(24*30-1))\n", "\n", "plt.plot(date,sl2_tide-sl_tide.mean())\n", "plt.plot(date_hist,1000*(zos_hist-zos_hist.mean()))\n", "plt.xlim([dt.datetime(1995, 1, 1), dt.datetime(2005, 12, 31)])" ] }, { "cell_type": "markdown", "id": "sudden-puppy", "metadata": {}, "source": [ "## 4. Analysis of numerical model output: ENSO variability\n", "\n", "We've talked about the El Nino/Southern Oscillation (ENSO) in previous classes; it is the dominant mode of interannual variability in the tropical Pacific. El Nino's (aka warm events) occur roughly every 2 to 5 years, peak in NH winter, and are characterized by anomalously warm sea surface temperatures (SST) in the eastern Pacific and anomalously cold SST in the western equatorial Pacific. \n", "\n", "There are various ways to quantify ENSO events, and most are based on some regional average of SST. \n", "\n", "\n", "The NINO-3.4 index, for example, is the mean SST anomalies in a box in the eastern tropical Pacific. A positive NINO-3 then indicates an El Nino event; cold/negative NINO-3.4 indicates a La Nina. \n", "\n", "\n", "In this notebook we will try to compute our own ENSO index from model-derived SST's. We can have a look at things like ENSO variability in future climate. The first step will be to construct our index:\n", "\n", " 1. copmute mean over a lat/lon box\n", " 2. compute and remove the mean seasonal cycle\n", " 3. smooth with 3-month running mean filter\n", " 4. identify warm events and plot\n", "\n", "For reference, https://www.ncdc.noaa.gov/teleconnections/enso/indicators/sst/ shows the NOAA version." ] }, { "cell_type": "markdown", "id": "sharp-pasta", "metadata": {}, "source": [ "### 4A. Load needed packages" ] }, { "cell_type": "code", "execution_count": 24, "id": "impossible-religion", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "import xarray as xr\n", "import netCDF4 as nc\n", "\n", "import matplotlib.pyplot as plt\n", "from matplotlib import cm\n", "import matplotlib.ticker as mticker\n", "\n", "import cartopy.crs as ccrs\n", "import cartopy.feature as cf\n", "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", "\n", "import datetime as dt" ] }, { "cell_type": "markdown", "id": "after-cosmetic", "metadata": {}, "source": [ "### 4B. Read data" ] }, { "cell_type": "code", "execution_count": 25, "id": "trained-genius", "metadata": {}, "outputs": [], "source": [ "# read data from APDRC URL\n", "URL = 'http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/historical/tos/GFDL-CM3_r1i1p1_1'\n", "dataset = nc.Dataset(URL)" ] }, { "cell_type": "code", "execution_count": 26, "id": "bored-testing", "metadata": {}, "outputs": [], "source": [ "# extract time, lat, lon\n", "time = dataset.variables['time'][:]\n", "lat = dataset.variables['lat'][:]\n", "lon = dataset.variables['lon'][:]" ] }, { "cell_type": "code", "execution_count": 27, "id": "uniform-sherman", "metadata": {}, "outputs": [], "source": [ "# convert time to datetime\n", "date = pd.to_datetime(time-time[0], origin = '01-01-1860', unit='D')" ] }, { "cell_type": "code", "execution_count": 28, "id": "operating-charlotte", "metadata": {}, "outputs": [], "source": [ "# extract SST for NINO-3.4 region (Eastern equatorial Pacific)\n", "J = np.argwhere( (lat >= -5) & (lat <= 5) )\n", "I = np.argwhere( (lon >= 190) & (lon <= 240) )\n", "SST = dataset.variables['tos'][:,int(J[0]):int(J[-1]),int(I[0]):int(I[-1])]" ] }, { "cell_type": "code", "execution_count": 31, "id": "b483bed4-fff6-4bbb-9cb6-e6409df7aea0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[190],\n", " [191],\n", " [192],\n", " [193],\n", " [194],\n", " [195],\n", " [196],\n", " [197],\n", " [198],\n", " [199],\n", " [200],\n", " [201],\n", " [202],\n", " [203],\n", " [204],\n", " [205],\n", " [206],\n", " [207],\n", " [208],\n", " [209],\n", " [210],\n", " [211],\n", " [212],\n", " [213],\n", " [214],\n", " [215],\n", " [216],\n", " [217],\n", " [218],\n", " [219],\n", " [220],\n", " [221],\n", " [222],\n", " [223],\n", " [224],\n", " [225],\n", " [226],\n", " [227],\n", " [228],\n", " [229],\n", " [230],\n", " [231],\n", " [232],\n", " [233],\n", " [234],\n", " [235],\n", " [236],\n", " [237],\n", " [238],\n", " [239]])" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "I" ] }, { "cell_type": "code", "execution_count": 33, "id": "6d4e4cb7-a103-49f1-8828-615163c0a773", "metadata": {}, "outputs": [], "source": [ "A = SST.mean()" ] }, { "cell_type": "code", "execution_count": 34, "id": "56c471a6-5788-4205-8de1-b3c17d49b1f2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "299.011" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "A" ] }, { "cell_type": "code", "execution_count": 35, "id": "editorial-tyler", "metadata": {}, "outputs": [], "source": [ "# compute mean over NINO-3.4 region\n", "# note: axis=(1,2) means compute the average over\n", "# the second two dimensions only (lat, lon); not time\n", "SST_ave = SST.mean(axis=(1,2))" ] }, { "cell_type": "code", "execution_count": 36, "id": "acute-belief", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " SST\n", "1860-01-01 298.585022\n", "1860-02-01 298.368591\n", "1860-03-01 298.488770\n", "1860-04-01 298.944031\n", "1860-05-01 299.536255" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# compute seasonal anomalies\n", "# 1. make DataFrame\n", "df = pd.DataFrame(SST_ave,date)\n", "df.columns = ['SST']\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 37, "id": "completed-tragedy", "metadata": {}, "outputs": [], "source": [ "# 2. compute climatology\n", "mean_season = df.groupby(df.index.month).mean()\n", "# 3. convert 12-monthly means to continuous time\n", "step1 = mean_season.squeeze()\n", "step2 = np.tile(step1,len(df)//len(mean_season))\n", "# 4. add to DataFrame\n", "df['clim'] = step2" ] }, { "cell_type": "code", "execution_count": 39, "id": "cbcef705-02f7-4929-aa79-c7835965fef2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SSTclim
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" ], "text/plain": [ " SST clim\n", "1860-01-01 298.585022 299.372681\n", "1860-02-01 298.368591 299.135193\n", "1860-03-01 298.488770 298.845581\n", "1860-04-01 298.944031 298.825592\n", "1860-05-01 299.536255 299.255157\n", "1860-06-01 299.802338 299.320496\n", "1860-07-01 299.688965 299.061554\n", "1860-08-01 299.115509 298.717072\n", "1860-09-01 298.636536 298.496033\n", "1860-10-01 298.796417 298.654449\n", "1860-11-01 299.192963 299.089661\n", "1860-12-01 299.413269 299.358673\n", "1861-01-01 299.447266 299.372681\n", "1861-02-01 299.105469 299.135193\n", "1861-03-01 298.731720 298.845581\n", "1861-04-01 298.739716 298.825592\n", "1861-05-01 299.446930 299.255157\n", "1861-06-01 299.642090 299.320496\n", "1861-07-01 299.529327 299.061554\n", "1861-08-01 298.992279 298.717072\n", "1861-09-01 298.975220 298.496033\n", "1861-10-01 299.621002 298.654449\n", "1861-11-01 300.203217 299.089661\n", "1861-12-01 300.698273 299.358673" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(24)" ] }, { "cell_type": "code", "execution_count": 41, "id": "hired-plant", "metadata": {}, "outputs": [], "source": [ "nino34 = movingaverage((df['SST']-df['clim']),3)\n", "nino34 = np.append(nino34,[np.nan]*2)\n", "df['NINO3'] = nino34" ] }, { "cell_type": "code", "execution_count": 42, "id": "8a3d3915-79c9-4345-baa4-69dc6c011e03", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SSTclimNINO3
1860-01-01298.585022299.372681-0.637024
1860-02-01298.368591299.135193-0.334991
1860-03-01298.488770298.8455810.014242
1860-04-01298.944031298.8255920.293793
1860-05-01299.536255299.2551570.463450
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" ], "text/plain": [ " SST clim NINO3\n", "1860-01-01 298.585022 299.372681 -0.637024\n", "1860-02-01 298.368591 299.135193 -0.334991\n", "1860-03-01 298.488770 298.845581 0.014242\n", "1860-04-01 298.944031 298.825592 0.293793\n", "1860-05-01 299.536255 299.255157 0.463450" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "id": "daily-keeping", "metadata": {}, "source": [ "### 4C. Make a plot of NINO-index" ] }, { "cell_type": "code", "execution_count": 43, "id": "decimal-collar", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(12,12))\n", "plt.fill_between(date,0,df['NINO3'],where=df['NINO3']>=0,facecolor='orange')\n", "plt.fill_between(date,0,df['NINO3'],where=df['NINO3']<0,facecolor='cyan')\n", "plt.grid()\n", "plt.xlabel('Date')\n", "plt.ylabel('degK')\n", "plt.title('NINO-3.4 Index from GFDL-CM3 Historical Run')\n", "\n", "plt.plot([date[0],date[-1]],[df['NINO3'].std(),df['NINO3'].std()],'r--')\n", "plt.plot([date[0],date[-1]],[-df['NINO3'].std(),-df['NINO3'].std()],'b--');" ] }, { "cell_type": "markdown", "id": "available-pride", "metadata": {}, "source": [ "### 4D. Compare ENSO events from different RCP's\n", "\n", "We can make use of a \"for loop\" to cycle through three difference experiments: historical, RCP-4.5 and RCP-8.5. For each, we compute the NINO-3 index like before, then print some simple statistics." ] }, { "cell_type": "code", "execution_count": 44, "id": "ultimate-proxy", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "reading http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/historical/tos/GFDL-CM3_r1i1p1_1\n", "reading http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp45/tos/GFDL-CM3_r1i1p1_1\n", "reading http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp85/tos/GFDL-CM3_r1i1p1_1\n" ] } ], "source": [ "URL = ['http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/historical/tos/GFDL-CM3_r1i1p1_1']\n", "URL = np.append(URL,'http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp45/tos/GFDL-CM3_r1i1p1_1')\n", "URL = np.append(URL,'http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp85/tos/GFDL-CM3_r1i1p1_1')\n", "#first_time = np.array([u'01-01-1860', u'01-01-2006', u'01-01-2006'], dtype=object)\n", "first_time = np.array([u'01-01-1860', u'01-01-1700', u'01-01-1700'], dtype=object)\n", "for model in range(3):\n", " dataset = nc.Dataset(URL[model])\n", " print('reading ', URL[model])\n", " time = dataset.variables['time'][:]\n", " lat = dataset.variables['lat'][:]\n", " lon = dataset.variables['lon'][:]\n", " date = pd.to_datetime(time-time[0], origin = first_time[model], unit='D')\n", " J = np.argwhere( (lat >= -5) & (lat <= 5) )\n", " I = np.argwhere( (lon >= 190) & (lon <= 240) )\n", " SST = dataset.variables['tos'][:,int(J[0]):int(J[-1]),int(I[0]):int(I[-1])]\n", " SST_ave = SST.mean(axis=(1,2))\n", " df = pd.DataFrame(SST_ave,date)\n", " df.columns = ['SST']\n", " mean_season = df.groupby(df.index.month).mean()\n", " step1 = mean_season.squeeze()\n", " step2 = np.tile(step1,len(df)//len(mean_season))\n", " df['clim'] = step2\n", " nino3 = movingaverage((df['SST']-df['clim']),3)\n", " nino3 = np.append(nino3,[np.nan]*2)\n", " df['NINO3'] = nino3\n", " if model == 0:\n", " nino_historical = df\n", " elif model == 1:\n", " nino_rcp45 = df\n", " elif model == 2:\n", " nino_rcp85 = df\n", " dataset.close()" ] }, { "cell_type": "markdown", "id": "thrown-benjamin", "metadata": {}, "source": [ "### 4E. Print the total number of warm events and the date of the maximum ones" ] }, { "cell_type": "code", "execution_count": 45, "id": "casual-breach", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Historical run\n", " number of warm events: 4\n", " max warm event on: 1956-10-01 00:00:00 index= 1161\n", "RCP-4.5 run\n", " number of warm events: 3\n", " max warm event on: 1875-10-02 00:00:00 index= 2109\n", "RCP-8.5 run\n", " number of warm events: 8\n", " max warm event on: 1779-08-02 00:00:00 index= 955\n" ] } ], "source": [ "# First we look for the number of warm events. To do this, we\n", "# count the number of times the NINO-3 index exceeds a certain\n", "# value (2.5) for December. These are somewhat arbitrary values;\n", "# December is usually the peak of the El Nino event, and 0.5 is\n", "# the minimum, so here we try 3 times that to identify extreme\n", "# events.\n", "\n", "threshold = 2.5\n", "max_month = 12\n", "\n", "ElNino = (nino_historical.index.month == max_month) & (nino_historical['NINO3'] > threshold )\n", "warm_events = ElNino.sum()\n", "max_event = nino_historical['NINO3'].argmax()\n", "time_max = nino_historical.index[max_event]\n", "print('Historical run')\n", "print(' number of warm events: ', warm_events)\n", "print(' max warm event on: ', time_max, 'index=', max_event)\n", "\n", "ElNino = (nino_rcp45.index.month == max_month) & (nino_rcp45['NINO3'] > threshold )\n", "warm_events = ElNino.sum()\n", "max_event = nino_rcp45['NINO3'].argmax()\n", "time_max = nino_rcp45.index[max_event]\n", "print('RCP-4.5 run')\n", "print(' number of warm events: ', warm_events)\n", "print(' max warm event on: ', time_max, 'index=', max_event)\n", "\n", "ElNino = (nino_rcp85.index.month == max_month) & (nino_rcp85['NINO3'] > threshold )\n", "warm_events = ElNino.sum()\n", "max_event = nino_rcp85['NINO3'].argmax()\n", "time_max = nino_rcp85.index[max_event]\n", "print('RCP-8.5 run')\n", "print(' number of warm events: ', warm_events)\n", "print(' max warm event on: ', time_max, 'index=', max_event)" ] }, { "cell_type": "markdown", "id": "constant-photograph", "metadata": {}, "source": [ "### 4F. Plot these max events" ] }, { "cell_type": "code", "execution_count": 46, "id": "imported-nudist", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "reading http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/historical/tos/GFDL-CM3_r1i1p1_1\n", "reading http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp45/tos/GFDL-CM3_r1i1p1_1\n", "reading http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/rcp85/tos/GFDL-CM3_r1i1p1_1\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12,36))\n", "max_time = [1161,2109,955]\n", "for model in range(3):\n", " dataset = nc.Dataset(URL[model])\n", " print('reading ', URL[model])\n", " time = dataset.variables['time'][:]\n", " lat = dataset.variables['lat'][:]\n", " lon = dataset.variables['lon'][:]\n", " J = np.argwhere( (lat >= -40) & (lat <= 40) )\n", " I = np.argwhere( (lon >= 100) & (lon <= 270) )\n", " SST1 = dataset.variables['tos'][max_time[model],int(J[0]):int(J[-1])+1,int(I[0]):int(I[-1])+1]\n", " SSTdiff = SST1 - dataset.variables['tos'][max_time[model]-12,int(J[0]):int(J[-1])+1,int(I[0]):int(I[-1])+1]\n", " ax = plt.subplot(3,1,model+1)\n", " plt.contourf(lon[I].squeeze(),lat[J].squeeze(),SSTdiff)" ] }, { "cell_type": "markdown", "id": "filled-fluid", "metadata": {}, "source": [ "### 4G. Redo with xarray" ] }, { "cell_type": "code", "execution_count": 29, "id": "recovered-oriental", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/tljh/user/lib/python3.9/site-packages/xarray/coding/times.py:123: SerializationWarning: Ambiguous reference date string: 1-1-1 00:00:0.0. The first value is assumed to be the year hence will be padded with zeros to remove the ambiguity (the padded reference date string is: 0001-1-1 00:00:0.0). To remove this message, remove the ambiguity by padding your reference date strings with zeros.\n", " warnings.warn(warning_msg, SerializationWarning)\n" ] } ], "source": [ "URL = 'http://apdrc.soest.hawaii.edu:80/dods/public_data/CMIP5/historical/tos/GFDL-CM3_r1i1p1_1'\n", "dataset = xr.open_dataset(URL)" ] }, { "cell_type": "code", "execution_count": 30, "id": "threaded-configuration", "metadata": {}, "outputs": [], "source": [ "SSTbox = dataset['tos'].sel(lat=slice(-5.0,5.0), \n", " lon=slice(200, 280)).mean(dim=['lat', 'lon'])" ] }, { "cell_type": "code", "execution_count": 31, "id": "legitimate-somewhere", "metadata": {}, "outputs": [], "source": [ "groupby_op = 'time.month'\n", "clim = SSTbox.sel(time=slice('1981-01-01', '2010-12-31')).groupby(groupby_op).mean()\n", "anom = SSTbox.groupby(groupby_op) - clim" ] }, { "cell_type": "code", "execution_count": 32, "id": "sustainable-specific", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'NINO-3 Index from GFDL-CM3 Historical Run')" ] }, "execution_count": 32, "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": [ "fig = plt.figure(figsize=(12,12))\n", "jtime = pd.to_datetime(dataset['time'])\n", "plt.fill_between(jtime,0,anom,where=anom>=0,facecolor='orange')\n", "plt.fill_between(jtime,0,anom,where=anom<0,facecolor='cyan')\n", "plt.grid()\n", "plt.xlabel('Date')\n", "plt.ylabel('degC')\n", "plt.title('NINO-3 Index from GFDL-CM3 Historical Run')" ] } ], "metadata": { "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": 5 }