{ "cells": [ { "cell_type": "markdown", "id": "9d1d4a46-c720-41c4-99c5-cab756c7c248", "metadata": {}, "source": [ "# Defining the Atmosphere\n", "\n", "In archNEMESIS, the atmospheric structure and composition is defined using the Atmosphere class. In this notebook, we aim to provide a tutorial of the several functionalities of this class, including reading/writing the input files for running retrievals and forward models or just performing useful calculations for the post-processing of the retrievals." ] }, { "cell_type": "code", "execution_count": 1, "id": "36736fbe-bbaf-4e7a-870d-75628a1d0a9f", "metadata": {}, "outputs": [], "source": [ "import archnemesis as ans\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "id": "c8f046fb-69df-46ba-84d7-e1443fd733bb", "metadata": {}, "source": [ "## 1. Reading and writing the input files\n", "\n", "The methods within the Atmosphere class can be used to read/write the information from/to the NEMESIS and archNEMESIS input files. In particular, in a NEMESIS run the atmospheric information is defined in the *.ref* and *aerosol.ref* files, while in an archNEMESIS run the atmospheric information is defined in the common HDF5 file. \n", "\n", "**NOTE**: For historical reasons, the units of the aerosols in NEMESIS are defined in particles per gram of atmosphere. On the other hand, the Atmosphere class works using SI units and the aerosols are defined in particles per cubic metre. However, in order to keep the file convention consistent, the *.ref* and *aerosol.ref* files are read with the units in NEMESIS, and a unit conversion is performed internally when using the reading/writing routines. Nevertheless, since there is a density factor between the two, note that the atmospheric density needs to be defined prior to reading the aerosol file." ] }, { "cell_type": "markdown", "id": "10b07267-bd82-4562-94f9-5f094195c649", "metadata": {}, "source": [ "### Reading the information from the NEMESIS files\n", "\n", "First of all, we are going to read the information from the NEMESIS *.ref* and *aerosol.ref* files and make a summary plot based on the information in these files." ] }, { "cell_type": "code", "execution_count": 2, "id": "abe6777e-57d0-4851-bfea-f07862a41775", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Initialising the Atmosphere class\n", "Atmosphere = ans.Atmosphere_0(runname='jupiter')\n", "\n", "#Reading the .ref file\n", "Atmosphere.read_ref()\n", "\n", "#Making summary plot of the gaseous atmosphere\n", "Atmosphere.plot_Atm()\n", "\n", "#Reading the aerosol.ref file (units in file in particles per gram of atm, but units in class of particles m-3)\n", "Atmosphere.read_aerosol()\n", "\n", "#Making summary plot of the aerosols in the atmosphere\n", "Atmosphere.plot_Dust()" ] }, { "cell_type": "markdown", "id": "e117f1e9-770a-4fcd-80cb-98c3e84b2d8b", "metadata": {}, "source": [ "### Writing the information into the NEMESIS files\n", "\n", "Similarly, we can use the methods in the Atmosphere class to write the information into files with the format NEMESIS requires (i.e., the specific format of the *.ref* and *aerosol.ref* files).\n", "\n", "**NOTE**: Following the explanation in the previous section, there is also an internal conversion of the units from particles per m$^3$ (archNEMESIS units) to particles per gram of atmosphere (NEMESIS units), so that the *aerosol.ref* file has the units it requires. Similarly, the units of pressure are also converted from Pa (archNEMESIS units) to atm (NEMESIS units) when writing the *.ref* file." ] }, { "cell_type": "code", "execution_count": 3, "id": "b6557184-9396-4db6-8ca6-7edca8341a6f", "metadata": {}, "outputs": [], "source": [ "#Writing the .ref file\n", "Atmosphere.write_ref()\n", "\n", "#Wiring the aerosol.ref file (units in file in particles per gram of atm, but units in class of particles m-3)\n", "Atmosphere.write_aerosol()" ] }, { "cell_type": "markdown", "id": "6ec89098-4663-40b6-9320-a6b6c051f399", "metadata": {}, "source": [ "### Reading and writing the information into the archNEMESIS HDF5 file\n", "\n", "In archNEMESIS, the format of the input files was updated with respect to NEMESIS so that a unique file is required for running a retrieval or forward model. In particular, the information is included in an HDF5 file where one of the sections of the files (the Atmosphere section) corresponds to the information in the Atmosphere class. We can use the built-in functions within this class to read/write the information into this HDF5 file. " ] }, { "cell_type": "code", "execution_count": 4, "id": "0e44cfd5-e07d-4475-8f02-9844bb4d6d67", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Planet :: Mars\n", "Number of profiles :: 1\n", "Latitude of profiles :: 80.833\n", "Number of altitude points :: 72\n", "Minimum/maximum heights (km) :: 3.424995893212533 130.01110323793642\n", "Maximum/minimum pressure (atm) :: 0.003644059654403374 6.430470874101519e-10\n", "Maximum/minimum temperature (K) 184.94036865234375 131.26361083984375\n", "Maximum/minimum gravity (m/s2) :: 3.73 3.47\n", "Maximum/minimum molecular weight :: 0.04365860339841797 0.04249212487703371\n", "Number of gaseous species :: 15\n", "Gaseous species :: ['CO2', 'O3', 'CO', 'O2', 'N2', 'H2', 'O', 'H', 'Ar', 'H2O (1)', 'H2O (2)', 'H2O (3)', 'H2O (4)', 'H2O (5)', 'HO2']\n", "Number of aerosol populations :: 1\n" ] } ], "source": [ "#Initialising Atmosphere class\n", "Atmosphere = ans.Atmosphere_0()\n", "\n", "#Reading the input HDF5 file\n", "Atmosphere.read_hdf5('mars')\n", "\n", "#Printing some summary information about the class to the screen\n", "Atmosphere.summary_info()\n", "\n", "#Writing the file into HDF5 file\n", "Atmosphere.write_hdf5('mars')" ] }, { "cell_type": "markdown", "id": "59fa00b3-c355-49bd-bcf7-d602fc9755f9", "metadata": {}, "source": [ "## 2. Modifying the gaseous Atmosphere\n", "\n", "In addition to having methods relevant to read/write the input files, there are also some built-in methods to modify the parameters in the atmosphere. These methods make sure that the dimensions of the arrays and other things are all consistent, giving some errors back otherwise, but note that it is also easy to modify the information in the class just by calling it as Atmosphere.*VARIABLE*. " ] }, { "cell_type": "markdown", "id": "26a6f827-ad11-48c9-8017-9dc603992951", "metadata": {}, "source": [ "### Add a new gas in the atmosphere" ] }, { "cell_type": "code", "execution_count": 5, "id": "f63166b7-4605-4214-814a-c3ca96548cff", "metadata": {}, "outputs": [], "source": [ "#Add OH in the atmosphere\n", "ID_oh = 13 #Radtran ID for OH\n", "ISO_oh = 0 #Radtran isotope ID (0 for all isotopes)\n", "vmr_oh = np.ones(Atmosphere.NP) * 1.0e-9 #1 ppbv of OH (constant with altitude)\n", "\n", "Atmosphere.add_gas(ID_oh,ISO_oh,vmr_oh) " ] }, { "cell_type": "markdown", "id": "64645d4b-92d1-4145-87b9-65cd76946c7a", "metadata": {}, "source": [ "### Remove gas from the atmosphere" ] }, { "cell_type": "code", "execution_count": 6, "id": "591e2c7f-12a2-40e8-88d6-630c0bde4c51", "metadata": {}, "outputs": [], "source": [ "#Remove the fifth isotope of water\n", "ID_h2o = 1\n", "ISO_h2o = 5\n", "\n", "Atmosphere.remove_gas(ID_h2o,ISO_h2o)" ] }, { "cell_type": "markdown", "id": "a066a14a-0285-48fd-81e3-c9e34210b234", "metadata": {}, "source": [ "### Update volume mixing ratio of gas in the atmosphere" ] }, { "cell_type": "code", "execution_count": 7, "id": "c4a7d9fe-a408-4cce-b0b7-9d604064d567", "metadata": {}, "outputs": [], "source": [ "#We want to update the VMR of Ar\n", "ID_Ar = 76 #Radtran ID for Ar\n", "ISO_Ar = 0 #Radtran isotope ID (0 for all isotopes)\n", "vmr_Ar = np.ones(Atmosphere.NP) * 0.01 \n", "\n", "Atmosphere.update_gas(ID_Ar,ISO_Ar,vmr_Ar)" ] }, { "cell_type": "markdown", "id": "ed27f65e-1d1c-473a-8904-db56d81db6c7", "metadata": {}, "source": [ "### Re-adjust altitudes based on hydrostatic equilibrium\n", "\n", "Using the function Atmosphere.*adjust_hydrostatH()* we will keep the pressure levels in the atmosphere fixed and re-compute the altitudes based on the hydrostatic equation. The altitudes are re-computed with respect to the altitude level that is closest to 0 km." ] }, { "cell_type": "code", "execution_count": null, "id": "61dcc555-d681-4bde-ad0d-dd6fccb7c71c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "P (bar), H_before (km), H_after (km)\n", "0.003692343444824219 0.0034249958932125327 0.0034249958932125327\n", "0.00247947998046875 0.006422610045284344 0.00641187652068918\n", "0.001654933319091797 0.009428527090137006 0.009405243928353273\n", "0.0013440388488769532 0.010950178536527432 0.010922596254164332\n", "0.001088509826660156 0.012471829982917857 0.012442441841737706\n", "0.0008802003479003906 0.013994307152503492 0.013956756977455895\n", "0.0007102473449707032 0.015515958598893919 0.015470969664982365\n", "0.0005719057846069336 0.017037610045284347 0.01698640293074029\n", "0.0003315441131591797 0.020813390107650834 0.020751559770359918\n", "0.00019087339401245118 0.024593344446822107 0.02451974301290332\n" ] } ], "source": [ "#Saving array before the re-adjustment\n", "h_before = Atmosphere.H/1.0e3\n", " \n", "#Re-calculate altitude levels based on hydrostatic equilibrium equation (fixing pressure levels)\n", "Atmosphere.adjust_hydrostatH()\n", "\n", "#Saving results after re-adjustment\n", "h_after = Atmosphere.H/1.0e3\n", "\n", "#Printing the results\n", "print(f\"P (bar), {('H_before (km),','H_after (km)')}\")\n", "#for i in range(Atmosphere.NP):\n", "for i in range(10):\n", " print(Atmosphere.P[i]/1.0e5,h_before[i]/1.0e3,h_after[i]/1.0e3)\n" ] }, { "cell_type": "markdown", "id": "21272dc1-a139-47c8-8084-1b648e8f3a83", "metadata": {}, "source": [ "### Re-adjust the pressures based on the hydrostatic equilibrium equation\n", "\n", "Using the function Atmosphere.*adjust_hydrostatP()* we can fix the altitude levels in the atmosphere and re-compute the pressure levels. The reference pressure at a given tangent height must be defined, and the rest of the pressure levels are re-computed with respect to this." ] }, { "cell_type": "code", "execution_count": null, "id": "6116a8e1-c3f9-480d-bf5c-6068d608d519", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "H (km), P_before (Pa), P_after (Pa)\n", "3.424995893212533 369.2343444824219 339.1940951180041\n", "6.411876520689179 247.947998046875 227.7751050330182\n", "9.405243928353274 165.4933319091797 152.02828663974515\n", "10.92259625416433 134.4038848876953 123.46798900422267\n", "12.442441841737706 108.85098266601561 99.9938697946527\n", "13.956756977455894 88.02003479003906 80.8575816498589\n", "15.470969664982366 71.02473449707031 65.24490115418882\n", "16.98640293074029 57.19057846069336 52.53621692449645\n", "20.75155977035992 33.15441131591797 30.455644744159784\n", "24.51974301290332 19.087339401245117 17.533248056343545\n" ] } ], "source": [ "#Saving the pressure array before computations\n", "p_before = Atmosphere.P\n", "\n", "#Performing the calculations\n", "htan = 12442. #Altitude at which to fix the pressure (m)\n", "ptan = 1.0e+02 #Pressure at htan (Pa)\n", "Atmosphere.adjust_hydrostatP(htan,ptan)\n", "p_after = Atmosphere.P\n", "\n", "#Printing the results\n", "print(f\"H (km), {('P_before (Pa),','P_after (Pa)')}\")\n", "#for i in range(Atmosphere.NP):\n", "for i in range(10):\n", " print(Atmosphere.H[i]/1.0e3,p_before[i],p_after[i])" ] }, { "cell_type": "markdown", "id": "fce64091-cb54-4dd5-89b1-3364705c2dbf", "metadata": {}, "source": [ "## 3. Perform useful calculations\n", "\n", "Some of the methods in the Atmosphere class also include functions that are normally performed as internal calculations within archNEMESIS, but that can be useful from the user end too. Here, we show a few examples of these calculations. In particular, we are going to calculate:\n", "\n", "- Molecular weight (kg/mol).\n", "- Gravity (m/s$^2$).\n", "- Number density (molec m$^{-3}$).\n", "- Mass density (kg m$^{-3}$)." ] }, { "cell_type": "code", "execution_count": 11, "id": "2cbb1e0f-2630-4685-98dc-c6cec447f4b8", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Performing calculations\n", "#####################################################################\n", "\n", "#Molecular weight (based on the molecular weight and vmr of each of the gases)\n", "Atmosphere.calc_molwt()\n", "\n", "#Gravity\n", "Atmosphere.calc_grav()\n", " \n", "#Number density\n", "numdens = Atmosphere.calc_numdens()\n", "\n", "#Specific density\n", "rho = Atmosphere.calc_rho()\n", "\n", "\n", "#Making summary plot\n", "######################################################################\n", "\n", "fig,(ax1,ax2,ax3,ax4) = plt.subplots(1,4,figsize=(10,3),sharey=True)\n", "\n", "ax1.plot(Atmosphere.MOLWT,Atmosphere.H/1.0e3)\n", "ax1.set_xlabel('Molecular weight (kg mol$^{-1}$)')\n", "ax1.set_ylabel('Altitude (km)')\n", "ax1.set_facecolor('lightgray')\n", " \n", "ax2.plot(Atmosphere.GRAV,Atmosphere.H/1.0e3)\n", "ax2.set_xlabel('Gravity (m s$^{-2}$)')\n", "ax2.set_facecolor('lightgray')\n", " \n", "ax3.plot(numdens,Atmosphere.H/1.0e3)\n", "ax3.set_xlabel('Number density (m$^{-3}$)')\n", "ax3.set_xscale('log')\n", "ax3.set_facecolor('lightgray')\n", " \n", "ax4.plot(rho,Atmosphere.H/1.0e3)\n", "ax4.set_xlabel('Specific density (kg m$^{-3}$)')\n", "ax4.set_xscale('log')\n", "ax4.set_facecolor('lightgray')\n", "\n", "plt.tight_layout()" ] } ], "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": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 5 }