test update
This commit is contained in:
Chunxiao Li
parent
2a7245687b
commit
f019ed1649
256
test.ipynb
256
test.ipynb
@ -6,10 +6,8 @@
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"source": [
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"# Welcome to ATMOS\n",
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"\n",
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"The pyatmos package is an archive of scientific routines that aims to implement the estimation of atmospheric properties for various atmosphere models. Currently, feasible atmosphere models include:\n",
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"\n",
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"1. International Standard Atmosphere(ISA) Model up to 86kms \n",
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"2. NRLMSISE-00"
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"This package is an archive of scientific routines that implements the estimation of atmospheric properties for various atmosphere models, such\n",
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"as exponential, coesa76, and nrimsise00. The package mainly estimates density, temperature, pressure and other parameters of air at a set of specific altitudes. For atmosphere below 86 kilometers, it also calculates the speed of sound, viscosity, and thermal conductivity."
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]
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},
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{
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@ -18,10 +16,11 @@
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"source": [
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"## How to install\n",
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"\n",
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"pyatmos can be installed with\n",
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"On Linux, macOS and Windows architectures, the binary wheels can be installed using pip by executing one of the following commands:\n",
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"\n",
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"```python\n",
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"pip install pyatmos\n",
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"pip install pyatmos --upgrade # to upgrade a pre-existing installation\n",
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"```"
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]
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},
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@ -29,11 +28,14 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## How to use\n",
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"\n",
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"### International Standard Atmosphere\n",
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"\n",
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"Calculate the ISA at 10km."
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"## How to use"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Exponential"
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]
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},
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{
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@ -42,28 +44,29 @@
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'temperature[K]': 223.25186489868483,\n",
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" 'pressure[Pa]': 26499.756053713343,\n",
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" 'density[kg/m^3]': 0.41350863360218376}"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1.22500000e+00 7.76098911e-02 3.97200000e-03 3.20600000e-04\n",
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" 1.90500000e-05]\n",
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"[1.22500000e+00 7.69385063e-02 3.84131212e-03 2.97747719e-04\n",
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" 1.59847603e-05]\n"
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]
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}
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],
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"source": [
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">>> from pyatmos import isa\n",
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">>> isa(10)"
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">>> from pyatmos import expo\n",
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">>> rhos_geom = expo([0,20,40,60,80]) # geometric altitudes by default\n",
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">>> print(rhos_geom) # [kg/m^3]\n",
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">>> rhos_geop = expo([0,20,40,60,80],'geopotential') # geopotential altitudes\n",
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">>> print(rhos_geop)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Calculate the ISA at a geopotential altitude of 50km."
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"#### COESA 1976"
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]
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},
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{
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@ -72,77 +75,52 @@
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'temperature[K]': 270.65,\n",
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" 'pressure[Pa]': 75.94476758456234,\n",
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" 'density[kg/m^3]': 0.0009775244455727493}"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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">>> isa(50,'geopotential')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Calculate the ISA at 90km."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"ename": "Exception",
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"evalue": "geopotential altitude should be in [-0.610, 84.852] km",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-6-c1c40cd35a30>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0misa\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m90\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'geopotential'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m~/Downloads/ATMOS/pyatmos/StandardAtmosphere/StandardAtmosphere.py\u001b[0m in \u001b[0;36misa\u001b[0;34m(altitude, altitude_type)\u001b[0m\n\u001b[1;32m 83\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0maltitude_type\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'geopotential'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 84\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0maltitude\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mgeopotential_alt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0maltitude\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mgeopotential_alt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 85\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"geopotential altitude should be in [-0.610, 84.852] km\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 86\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0maltitude_type\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'geometric'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 87\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0maltitude\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mgeometric_alt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0maltitude\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mgeometric_alt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mException\u001b[0m: geopotential altitude should be in [-0.610, 84.852] km"
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1.22499916e+00 8.89079563e-02 3.99535051e-03 3.09628985e-04\n",
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" 1.84514759e-05]\n",
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"[1.22499916e+00 8.80348036e-02 3.85100688e-03 2.88320680e-04\n",
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" 1.57005388e-05]\n",
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"[5.60184300e-07 1.91512264e-11 5.21285933e-13 3.06944380e-14\n",
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" 5.75807856e-15]\n"
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]
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}
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],
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"source": [
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">>> isa(90,'geopotential')"
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">>> from pyatmos import coesa76\n",
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">>> rhos_geom,Ts_geom,Ps_geom = coesa76([0,20,40,60,80]) \n",
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">>> print(rhos_geom) # [kg/m^3]\n",
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">>> rhos_geop,Ts_geop,Ps_geop = coesa76([0,20,40,60,80],'geopotential')\n",
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">>> print(rhos_geop) # [kg/m^3]\n",
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">>> rhos_geom,Ts_geom,Ps_geom = coesa76([100,300,500,700,900]) \n",
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">>> print(rhos_geom) # [kg/m^3]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### NRLMSISE-00"
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"#### NRLMSISE-00"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Get the space weather data"
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"*Before using NRLMSISE-00, the space weather data needs to be prepared in advance.*"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Updating the space weather data ... Finished\n"
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"The space weather data in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
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]
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}
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],
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@ -158,123 +136,42 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Calculate the temperatures, densities not including anomalous oxygen using the NRLMSISE-00 model at 70km, 25 degrees latitude, 102 degrees longitude on the date October 5, 2015 at 03:00:00 UTC."
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"Calculate the temperature, density at [25N, 102E, 20km] at 03:00:00 UTC on October 5, 2015 with anomalous oxygen and 3h-geomagnetic index."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'Year': 2015, 'DayOfYear': 278, 'SecondOfDay': 10800.0, 'Latitude[deg]': 25, 'Longitude[deg]': 102, 'Altitude[km]': 70, 'LocalSolarTime[hours]': 9.8, 'f107Average[10^-22 W/m^2/Hz]': 150, 'f107Daily[10^-22 W/m^2/Hz]': 150, 'ApDaily': 4, 'Ap3Hourly': array([4, 4, 4, 4, 4, 4, 4])} \n",
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"\n",
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"{'Density': {'He[1/m^3]': 9100292488300570.0, 'O[1/m^3]': 0, 'N2[1/m^3]': 1.3439413974205876e+21, 'O2[1/m^3]': 3.52551376755781e+20, 'AR[1/m^3]': 1.6044163757370681e+19, 'H[1/m^3]': 0, 'N[1/m^3]': 0, 'ANM O[1/m^3]': 0, 'RHO[kg/m^3]': 8.225931818480755e-05}, 'Temperature': {'TINF[K]': 1027.3184649, 'TG[K]': 219.9649472491653}}\n"
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"{'Year': 2015, 'DOY': 278, 'SOD': 10800.0, 'Lat': 25, 'Lon': 102, 'Alt': 600, 'LST': 9.8, 'f107A': 104.4, 'f107D': 82.6, 'ApD': 18, 'Ap3H': array([18. , 22. , 22. , 22. , 7. , 15.25 , 9.375])}\n",
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"6.416602651204796e-14\n",
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"(853.466244160143, 853.4647165799171)\n",
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"{'He': 2388916051039.6826, 'O': 1758109067905.8027, 'N2': 2866987110.5606275, 'O2': 22411077.605527952, 'Ar': 4351.013995142538, 'H': 155026672753.3203, 'N': 46719306249.863495, 'ANM O': 4920851253.780525}\n"
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]
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}
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],
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"source": [
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">>> from pyatmos import nrlmsise00\n",
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">>> # Set a specific time and location\n",
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">>> t = '2015-10-05 03:00:00' # time(UTC)\n",
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">>> lat,lon = 25,102 # latitude and longitude [degree]\n",
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">>> alt = 70 # altitude [km]\n",
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">>> para_input,para_output = nrlmsise00(t,lat,lon,alt,swdata)\n",
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">>> print(para_input,'\\n')\n",
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">>> print(para_output)"
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">>> t = '2015-10-05 03:00:00' # time(UTC) \n",
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">>> lat,lon,alt = 25,102,600 # latitude, longitude in [degree], and altitude in [km]\n",
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">>> params,rho,T,nd = nrlmsise00(t,(lat,lon,alt),swdata) # aphmode=True\n",
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">>> print(params)\n",
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">>> print(rho) \n",
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">>> print(T) \n",
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">>> print(nd)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Calculate the temperatures, densities not including anomalous oxygen using the NRLMSISE-00 model at 100km, -65 degrees latitude, -120 degrees longitude on the date July 8, 2004 at 10:30:50 UTC."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'Year': 2004, 'DayOfYear': 190, 'SecondOfDay': 37850.0, 'Latitude[deg]': -65, 'Longitude[deg]': -120, 'Altitude[km]': 100, 'LocalSolarTime[hours]': 2.5138888888888893, 'f107Average[10^-22 W/m^2/Hz]': 109.0, 'f107Daily[10^-22 W/m^2/Hz]': 79.3, 'ApDaily': 2, 'Ap3Hourly': array([2. , 2. , 2. , 2. , 2. , 3.125, 4.625])} \n",
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"\n",
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"{'Density': {'He[1/m^3]': 119477307274636.89, 'O[1/m^3]': 4.1658304136233e+17, 'N2[1/m^3]': 7.521248904485598e+18, 'O2[1/m^3]': 1.7444969074975662e+18, 'AR[1/m^3]': 7.739495767665198e+16, 'H[1/m^3]': 22215754381448.5, 'N[1/m^3]': 152814261016.3964, 'ANM O[1/m^3]': 1.8278224834873257e-37, 'RHO[kg/m^3]': 4.584596293339505e-07}, 'Temperature': {'TINF[K]': 1027.3184649, 'TG[K]': 192.5868649143824}}\n"
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]
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}
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],
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"source": [
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">>> t = '2004-07-08 10:30:50' \n",
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">>> lat,lon,alt = -65,-120,100 \n",
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">>> para_input,para_output = nrlmsise00(t,lat,lon,alt,swdata)\n",
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">>> print(para_input,'\\n')\n",
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">>> print(para_output)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Calculate the temperatures, densities including anomalous oxygen using the NRLMSISE-00 model at 500km, 85 degrees latitude, 210 degrees longitude on the date February 15, 2010 at 12:18:37 UTC."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'Year': 2010, 'DayOfYear': 46, 'SecondOfDay': 44317.0, 'Latitude[deg]': 85, 'Longitude[deg]': 210, 'Altitude[km]': 500, 'LocalSolarTime[hours]': 2.310277777777779, 'f107Average[10^-22 W/m^2/Hz]': 83.4, 'f107Daily[10^-22 W/m^2/Hz]': 89.4, 'ApDaily': 14, 'Ap3Hourly': array([14. , 5. , 7. , 6. , 15. , 5.375, 4. ])} \n",
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"\n",
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"{'Density': {'He[1/m^3]': 2830075020953.2334, 'O[1/m^3]': 5866534735436.941, 'N2[1/m^3]': 59516979995.87239, 'O2[1/m^3]': 1558775273.2950978, 'AR[1/m^3]': 825564.7467165776, 'H[1/m^3]': 142697077779.00586, 'N[1/m^3]': 53473812381.891624, 'ANM O[1/m^3]': 4258921381.0652237, 'RHO[kg/m^3]': 1.790487924033088e-13}, 'Temperature': {'TINF[K]': 850.5598890315023, 'TG[K]': 850.5507885501303}}\n"
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]
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}
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],
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"source": [
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">>> t = '2010-02-15 12:18:37' \n",
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">>> lat,lon,alt = 85,210,500 \n",
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">>> para_input,para_output = nrlmsise00(t,lat,lon,alt,swdata,omode='Oxygen')\n",
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">>> print(para_input,'\\n')\n",
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">>> print(para_output)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Calculate the temperatures, densities including anomalous oxygen using the NRLMSISE-00 model at 900km, 3 degrees latitude, 5 degrees longitude on the date August 20, 2019 at 23:10:59 UTC. It uses not only Daily AP but also 3-hour AP magnetic index."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'Year': 2019, 'DayOfYear': 232, 'SecondOfDay': 83459.0, 'Latitude[deg]': 3, 'Longitude[deg]': 5, 'Altitude[km]': 900, 'LocalSolarTime[hours]': 23.51638888888889, 'f107Average[10^-22 W/m^2/Hz]': 67.4, 'f107Daily[10^-22 W/m^2/Hz]': 67.7, 'ApDaily': 4, 'Ap3Hourly': array([4. , 4. , 3. , 3. , 5. , 3.625, 3.5 ])} \n",
|
||||
"\n",
|
||||
"{'Density': {'He[1/m^3]': 74934329990.0412, 'O[1/m^3]': 71368139.39199762, 'N2[1/m^3]': 104.72048033793158, 'O2[1/m^3]': 0.09392848471935447, 'AR[1/m^3]': 1.3231114543012155e-07, 'H[1/m^3]': 207405192640.34592, 'N[1/m^3]': 3785341.821909535, 'ANM O[1/m^3]': 1794317839.638502, 'RHO[kg/m^3]': 8.914971667362366e-16}, 'Temperature': {'TINF[K]': 646.8157488121493, 'TG[K]': 646.8157488108872}}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
">>> t = '2019-08-20 23:10:59' \n",
|
||||
">>> lat,lon,alt = 3,5,900 \n",
|
||||
">>> para_input,para_output = nrlmsise00(t,lat,lon,alt,swdata,omode='Oxygen',aphmode = 'Aph')\n",
|
||||
">>> print(para_input,'\\n')\n",
|
||||
">>> print(para_output)"
|
||||
"**Note: The range of longitude is [0,360] by default, and the west longitude can also be expressed as a negative number.**"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -282,14 +179,20 @@
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Change log\n",
|
||||
"- **1.2.0 — Jan 22, 2021**\n",
|
||||
" - Added **Exponential Atmosphere** up to 1000km\n",
|
||||
" - Added **Committee on Extension to the Standard Atmosphere(COESA)** up to 1000km\n",
|
||||
" - Completed part of the help documentation for NRLMSISE-00\n",
|
||||
" - Improved the code structure to make it easier to read\n",
|
||||
"- **1.1.2 — Jul 26, 2020**\n",
|
||||
" - Added colored-progress bar for downloading data\n",
|
||||
"- **1.1.0 — Mar 29, 2020**\n",
|
||||
" - Added the International Standard Atmosphere(ISA) Model up to 86kms \n",
|
||||
"\n",
|
||||
"## Next release\n",
|
||||
"\n",
|
||||
"- Complete the help documentation\n",
|
||||
"- Improve the code structure to make it easier to read\n",
|
||||
"- Add other atmospheric models, such as the **U.S. Standard Atmosphere 1976(USSA1976)** or **Committee on Extension to the Standard Atmosphere(COESA)** up to 1000km, **Unofficial Australian Standard Atmosphere 2000(UASA2000)**, and the **Jacchia-Bowman 2008 Empirical Thermospheric Density Model(JB2008)**\n",
|
||||
"- Complete the help documentation for NRLMSISE-00\n",
|
||||
"- Add other atmospheric models, such as the **Earth Global Reference Atmospheric Model(Earth-GRAM) 2016**, and the **Jacchia-Bowman 2008 Empirical Thermospheric Density Model(JB2008)**\n",
|
||||
"\n",
|
||||
"## Reference\n",
|
||||
"\n",
|
||||
@ -298,13 +201,14 @@
|
||||
"- https://gist.github.com/buzzerrookie/5b6438c603eabf13d07e\n",
|
||||
"- https://ww2.mathworks.cn/help/aerotbx/ug/atmosisa.html\n",
|
||||
"\n",
|
||||
"* [Original Fortran and C code](https://ccmc.gsfc.nasa.gov/pub/modelweb/atmospheric/msis/)\n",
|
||||
"* [MSISE-00 in Python and Matlab](https://github.com/space-physics/msise00)\n",
|
||||
"* [NRLMSISE-00 Atmosphere Model - Matlab](https://ww2.mathworks.cn/matlabcentral/fileexchange/56253-nrlmsise-00-atmosphere-model?requestedDomain=zh)\n",
|
||||
"* [NRLMSISE-00 Atmosphere Model - Aerospace Blockset](https://www.mathworks.com/help/aeroblks/nrlmsise00atmospheremodel.html?requestedDomain=)\n",
|
||||
"* [NRLMSISE-00 Atmosphere Model - CCMC](https://ccmc.gsfc.nasa.gov/modelweb/models/nrlmsise00.php)\n",
|
||||
"* [NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues](http://onlinelibrary.wiley.com/doi/10.1029/2002JA009430/pdf)\n",
|
||||
"\n"
|
||||
"- [Original Fortran and C code](https://ccmc.gsfc.nasa.gov/pub/modelweb/atmospheric/msis/)\n",
|
||||
"- [MSISE-00 in Python and Matlab](https://github.com/space-physics/msise00)\n",
|
||||
"- [NRLMSISE-00 Atmosphere Model - Matlab](https://ww2.mathworks.cn/matlabcentral/fileexchange/56253-nrlmsise-00-atmosphere-model?requestedDomain=zh)\n",
|
||||
"- [NRLMSISE-00 Atmosphere Model - Aerospace Blockset](https://www.mathworks.com/help/aeroblks/nrlmsise00atmospheremodel.html?requestedDomain=)\n",
|
||||
"- [NRLMSISE-00 Atmosphere Model - CCMC](https://ccmc.gsfc.nasa.gov/modelweb/models/nrlmsise00.php)\n",
|
||||
"- [NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues](http://onlinelibrary.wiley.com/doi/10.1029/2002JA009430/pdf)\n",
|
||||
"- [ATMOSPHERIC MODELS](http://www.braeunig.us/space/atmmodel.htm)\n",
|
||||
"- [poliastro-Atmosphere module](https://docs.poliastro.space/en/stable/api/safe/atmosphere/atmosphere_index.html?highlight=nrlmsise#famous-atmospheric-models)"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -317,9 +221,9 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"display_name": "py38",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
"name": "py38"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@ -331,7 +235,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.6"
|
||||
"version": "3.8.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user