{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![datiaperti logo](images/datiaperti_small.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Air Quality Forecasts\n", "The CAMS service provides the [Air Quality Forecasts for Europe](https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts). The data product is based on an ensemble of the outputs of nine Earth System models that provides the forecasts for many polluttants such as $NO_x$, Ozone, particulate matter (PM2.5 and PM10) and $SO_2$ with a spatial resolution of 10 km. In this test we want to retrieve the forecasts for $NO_2$ over the Italian peninsula at ground level every hours for the next 96 hours (lead times) and visualize the forecasts as a sequence of frames in an animation. The forecasts for the air quality are the result of computer simulations, performed by the ECMWF, using a technique called data assimilation. The technique uses new observations, in our case from the [TROPOMI](http://www.tropomi.eu/) instrument onboard the [Copernicus Sentinel-5p](https://sentinel.esa.int/web/sentinel/missions/sentinel-5p), to update the initial conditions of a numerical model of the atmosphere that will be used for the next simulation that will represent the most up to date forecast. More information about the origin of NO2 and its relevance on the air quality is available at the [EUMETSAT website](https://training.eumetsat.int/mod/page/view.php?id=13823) and from the [Julien Chimot's](https://wordpress71133.wordpress.com/no2-nitrogen-dioxide/) blog.\n", "\n", "## The TROPOMI Instrument\n", "![Copernicus Sentinel-5p](images/sentinel-5p.jpg)\n", "\n", "The TROPOspheric Monitoring Instrument (TROPOMI) is the only payload of Sentinel-5p and is dedicated to the monitoring of trace gases and particulate in the atmosphere and in particular in its lower layer, the troposphere. It is a passive remote sensing instrument and depends on the sun light reflected from the Earth surface through the atmosphere. The trace gases monitored are: ozone $(O_3)$, nitrogen dioxide $(NO_2)$, sulfur dioxide $(SO_2)$, carbon monoxide $(CO)$, methane $(CH_4)$, formaldehyde $(HCHO)$. \n", "The instrument is composed of 4 spectrometers that collect the light coming from nadir in 4 spectral bands: UV (267-332 nm), UV-VIS (305-499 nm), NIR (661-786 nm), and SWIR (2300-2389 nm). The light arriving at the instrument is filtered, sent to the detector of each spectrometer, transformed into a voltage signal, amplified and finally digitized in order to be transferred to the ground station. The detector of the UV-VIS-NIR bands is a CCD. The detector of the SWIR band is CMOS device (see [3]). The total and tropospheric column of the trace gases is extracted from the detector signal using the Differential optical absorption spectroscopy (DOAS). The technique is based on the Beer-Lambert law for which the intensity of the light at a particular wavelenght received at the detector, depends on the amount of light that is absorbed in the path between the source and the detector, and on the density of the absorbing molecules. The Beer-Lambert law has the form\n", "\n", "$$I(\\lambda) = I_0(\\lambda)exp(-\\sum_{j=1}^n \\sigma_j(\\lambda)\\rho_j)$$\n", "\n", "where $\\lambda$ is the wavelenght of the detected light, $\\sigma_j(\\lambda)$ is the absorption cross section of the species j, and $\\rho_j$ is its column density. Assuming $\\sigma_j(\\lambda)$ are known from laboratory measurements, taking n measures of $I(\\lambda)$ we have a system of n equations in n unknown variables $\\rho_j$ that can be solved (see [6]). After this very short and simplified description of the instrument and the inversion algorithm, we can proceed using the data.\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "python version: 3.11.5\n", "pandas version: 2.1.1\n", "xarray version: 2023.12.0\n" ] } ], "source": [ "import xarray as xr\n", "import pandas as pd\n", "import numpy as np\n", "import cdsapi\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "from platform import python_version\n", "print(\"python version: %s\"%python_version())\n", "print(\"pandas version: %s\"%pd.__version__)\n", "print(\"xarray version: %s\"%xr.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The Copernicus Atmosphere Monitoring Service\n", "The Copernicus Atmosphere Monitoring Service ([CAMS](https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-europe-air-quality-forecasts)) provides analysis and forecasts related to air quality, atmospheric composition, greenhouse gases, solar irradiance. The datasets released by the CAMS service is the result of assimilation processes in which observations from satellites and ground stations are used to update a numerical model. The CAMS is operated by the European Centre for Medium-Range Weather Forecasts ([ECMWF](https://www.ecmwf.int/)) on behalf of the European Commission.\n", "\n", "### The European air quality forecasts\n", "The CAMS provides its datasets as open data, available to all for free, through a web page and a web service. For the air quality forecasts a user can select, among other options\n", "\n", "- the variables, that is the physical parameters we are interested in \n", "- the model we want to use, nine models are available plus the ensemble \n", "- the levels, or heights for which we want the forecasts\n", "- the area of interest, delimited by north and south latitudes and west and east longitudes \n", "- the date from which the forecast should start\n", "- the lead time hours, that is the hours of the forecasts\n", "- the format of the data (CSV, NetCDF)\n", "\n", "In this notebook we use the web service through its API. In order to use the API you need an API key that will be given to you after you have registered into the CADS. The steps to use the CAMS web service are\n", "\n", "1. login \n", "2. copy your ADS API key in the .condarc file in your home folder \n", "3. install the cdsapi Python package\n", "\n", "You can also pass your API key and the web service url to the client API instead of copying them into your .condarc file. For more information follow the [how-to instructions](https://ads.atmosphere.copernicus.eu/api-how-to). \n", "\n", "We set some parameters before submitting our request, in particular the area of interest, the variable (NO2), the lead time hours." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "path = 'data/air_quality_forecasts/20240220'\n", "file_name = 'air_quality_forecasts_europe_20240220.nc'\n", "date = '2024-02-20'\n", "area_north = 47.12\n", "area_south = 36.40\n", "area_west = 6.57\n", "area_east = 18.52" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-02-20 10:20:18,365 INFO Welcome to the CDS\n", "2024-02-20 10:20:18,367 INFO Sending request to https://ads.atmosphere.copernicus.eu/api/v2/resources/cams-europe-air-quality-forecasts\n", "2024-02-20 10:20:18,412 INFO Request is queued\n", "2024-02-20 10:20:19,441 INFO Request is running\n", "2024-02-20 10:20:39,349 INFO Request is completed\n", "2024-02-20 10:20:39,350 INFO Downloading https://download-0004-ads-clone.copernicus-climate.eu/cache-compute-0004/cache/data8/adaptor.cams_regional_fc.retrieve-1708420834.390126-8128-2-63dd217d-48c9-4662-915e-d43a1ed57433.nc to data/air_quality_forecasts/20240220/air_quality_forecasts_europe_20240220.nc (4.7M)\n", "2024-02-20 10:20:41,544 INFO Download rate 2.1M/s \n" ] }, { "data": { "text/plain": [ "Result(content_length=4942928,content_type=application/x-netcdf,location=https://download-0004-ads-clone.copernicus-climate.eu/cache-compute-0004/cache/data8/adaptor.cams_regional_fc.retrieve-1708420834.390126-8128-2-63dd217d-48c9-4662-915e-d43a1ed57433.nc)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "URL = \"https://ads.atmosphere.copernicus.eu/api/v2\"\n", "KEY = \"xxxxxxxxxxxxxxxxxxxxxxxxxxxx\"\n", "c = cdsapi.Client(url=URL, key=KEY) # uncomment with your API key if you do not use the .condarc file\n", "\n", "#c = cdsapi.Client() # comment this line if you are sending your API key in the request\n", "\n", "c.retrieve(\n", " 'cams-europe-air-quality-forecasts',\n", " {\n", " 'model': 'ensemble',\n", " 'date': date + '/' + date,\n", " 'format': 'netcdf',\n", " 'variable': 'nitrogen_dioxide',\n", " 'level': '0',\n", " 'type': 'forecast',\n", " 'time': '00:00',\n", " 'leadtime_hour': [\n", " '0', '1', '10',\n", " '11', '12', '13',\n", " '14', '15', '16',\n", " '17', '18', '19',\n", " '2', '20', '21',\n", " '22', '23', '24',\n", " '25', '26', '27',\n", " '28', '29', '3',\n", " '30', '31', '32',\n", " '33', '34', '35',\n", " '36', '37', '38',\n", " '39', '4', '40',\n", " '41', '42', '43',\n", " '44', '45', '46',\n", " '47', '48', '49',\n", " '5', '50', '51',\n", " '52', '53', '54',\n", " '55', '56', '57',\n", " '58', '59', '6',\n", " '60', '61', '62',\n", " '63', '64', '65',\n", " '66', '67', '68',\n", " '69', '7', '70',\n", " '71', '72', '73',\n", " '74', '75', '76',\n", " '77', '78', '79',\n", " '8', '80', '81',\n", " '82', '83', '84',\n", " '85', '86', '87',\n", " '88', '89', '9',\n", " '90', '91', '92',\n", " '93', '94', '95',\n", " '96',\n", " ],\n", " 'area': [\n", " area_north, area_west, area_south,\n", " area_east,\n", " ],\n", " },\n", " path + '/' + file_name)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we have requested the forecasts starting from only one day, let's say the day in which we send the request, the webservice will send a netcdf file with the forecasts for all the lead times we have specified. If we want the forecasts starting from more days the webservice will send a zip file that contains one netCDF file for each start day. In our test we will request the forecasts starting from one single day, the same day in which we send the request. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#import os\n", "#import zipfile\n", "#with zipfile.ZipFile('data/air_quality_forecasts_europe_20201203.zip', 'r') as zip_ref:\n", "# zip_ref.extractall(path)\n", "\n", "#nc_files = os.listdir(path)\n", "#nc_files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Nitrogen dioxide forecasts\n", "Let's open the file to get the forecasts for $NO_2$" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def getforecast(path, file_name):\n", " # The forecasts for NO2 are in the 'no2_conc' variable. \n", " # The function puts the data in memory, closes the file\n", " # and returns the NO2 forecast\n", " ds = xr.open_dataset(path + '/' + file_name)\n", " no2_forecast = ds['no2_conc']\n", " ds.close()\n", " return no2_forecast" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.DataArray 'no2_conc' (time: 97, level: 1, latitude: 107, longitude: 119)>\n",
       "[1235101 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float32 6.65 6.75 6.85 6.95 ... 18.25 18.35 18.45\n",
       "  * latitude   (latitude) float32 47.05 46.95 46.85 46.75 ... 36.65 36.55 36.45\n",
       "  * level      (level) float32 0.0\n",
       "  * time       (time) timedelta64[ns] 00:00:00 01:00:00 ... 4 days 00:00:00\n",
       "Attributes:\n",
       "    species:        Nitrogen Dioxide\n",
       "    units:          µg/m3\n",
       "    value:          hourly values\n",
       "    standard_name:  mass_concentration_of_nitrogen_dioxide_in_air
" ], "text/plain": [ "\n", "[1235101 values with dtype=float32]\n", "Coordinates:\n", " * longitude (longitude) float32 6.65 6.75 6.85 6.95 ... 18.25 18.35 18.45\n", " * latitude (latitude) float32 47.05 46.95 46.85 46.75 ... 36.65 36.55 36.45\n", " * level (level) float32 0.0\n", " * time (time) timedelta64[ns] 00:00:00 01:00:00 ... 4 days 00:00:00\n", "Attributes:\n", " species: Nitrogen Dioxide\n", " units: µg/m3\n", " value: hourly values\n", " standard_name: mass_concentration_of_nitrogen_dioxide_in_air" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "no2_forecasts = getforecast(path, file_name)\n", "no2_forecasts" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we can see from the description, the time interval of each forecast is provided as a delta in nanoseconds (ns), from the first lead time to the next. Since we have requested a forecast every hour the delta is 3600 * 10^9, or 3600000000000, nanoseconds. We will create a date time index to be used later on in the plots " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'2024-02-20 00:00:00'" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "delta_time = 3600000000000 # delta between one lead time and the next one\n", "num_forecasts = len(no2_forecasts)\n", "start_day = pd.to_datetime(date)\n", "date_index = start_day + pd.to_timedelta(np.arange(num_forecasts), 'H')\n", "date_index.size\n", "start_day.strftime('%Y-%m-%d %H:%M:%S')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We plot the forecast for one lead time hour to check that everything works fine and then we'll create an animation using all the forecasts. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "matplotlib version: 3.8.0\n", "cartopy version: 0.22.0\n" ] } ], "source": [ "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import cartopy.crs as ccrs\n", "import cartopy\n", "print(\"matplotlib version: %s\"%matplotlib.__version__)\n", "print(\"cartopy version: %s\"%cartopy.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We create the figure that we will use to plot the data" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "def create_figure(): \n", " fig = plt.figure(figsize=(20,10))\n", " ax = plt.axes(projection=ccrs.PlateCarree())\n", " ax.add_feature(cartopy.feature.OCEAN)\n", " ax.add_feature(cartopy.feature.LAND, edgecolor='black')\n", " ax.coastlines()\n", " return fig, ax" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's plot the first forecast. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Air Quality Forecast - 2024-02-20 00:00:00')" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "_, ax = create_figure()\n", "lead_time = 1\n", "first_forecast = no2_forecasts.sel(time = str(delta_time * lead_time), level = 0.0)\n", "first_forecast.plot.pcolormesh(ax=ax, x='longitude', y='latitude', add_colorbar=True, cmap='viridis')\n", "plt.title('Air Quality Forecast - {0:s}'.format(date_index[lead_time - 1].strftime('%Y-%m-%d %H:%M:%S')))\n", "#plt.savefig('images/forecast_example.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can notice the NO2 traces in the Mediterranean sea, in particular in the Strait of Sicily and over the major Italian ports. The traces are due to combustion of fossil fuels of the ships. Now we create the animation using all the forecasts at ground level. The animation will contain a frame for each forecast (or lead time)" ] }, { "cell_type": "code", "execution_count": 12, "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" ], "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import matplotlib.animation as animation\n", "from IPython.display import HTML, display\n", "\n", "forecasts = no2_forecasts.sel(level = 0.0)\n", "\n", "def draw(frame, add_colorbar): \n", " forecast_frame = forecasts.sel(time = str(delta_time * frame))\n", " plot = forecast_frame.plot.pcolormesh(ax=ax, x='longitude', y='latitude', add_colorbar=add_colorbar, cmap='viridis')\n", " title = 'Air Quality Forecast - {0:s}'.format(date_index[frame - 1].strftime('%Y-%m-%d %H:%M:%S'))\n", " ax.set_title(title)\n", " return plot\n", "\n", "def init():\n", " return draw(1, add_colorbar=True)\n", "\n", "def animate(frame):\n", " plt.close()\n", " return draw(frame + 1, add_colorbar=False)\n", "\n", "fig, ax = create_figure()\n", "\n", "\n", "ani = animation.FuncAnimation(fig, animate, frames=96, interval=500, blit=False, init_func=init, repeat=False)\n", "\n", "HTML(ani.to_jshtml())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References\n", "1. [ECMWF Copernicus Knowledge Base - Global atmospheric composition forecast data docimetation](https://confluence.ecmwf.int/display/CKB/CAMS%3A+Global+atmospheric+composition+forecast+data+documentation)\n", "2. [WMO Observing Systems Capability Analysis and Review Tools - TROPOMI Instrument details](https://space.oscar.wmo.int/instruments/view/tropomi)\n", "3. [ESA Sentinel-5p TROPOMI - Algorithm theoretical basis document (ATBD) for the TROPOMI L01b data processor](https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-5p/products-algorithms)\n", "4. [ESA Sentinel-5p TROPOMI - ATBD of the total and tropospheric NO2 data products](https://sentinels.copernicus.eu/web/sentinel/technical-guides/sentinel-5p/products-algorithms)\n", "5. [Wikipedia - Differential optical absorption spectroscopy](https://en.wikipedia.org/wiki/Differential_optical_absorption_spectroscopy)\n", "6. [ESA - Atmospheric Toolbox - QDOAS Software user manual](https://atmospherictoolbox.org/qdoas/)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }