add test for JB2008
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							@ -6,8 +6,7 @@
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   "source": [
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    "# Welcome to ATMOS\n",
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    "\n",
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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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    "This package is an archive of scientific routines that estimates the vertical structure of atmosphere with various *atmospheric density models*, such as **Exponential**(-0.611\\~1000 km), **COESA76**(-0.611\\~1000 km), **NRLMSISE-00**(0\\~2000 km), and **JB2008**(90\\~2500 km). "
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   ]
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  },
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  {
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@ -48,18 +47,15 @@
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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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      " 1.90500000e-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 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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    ">>> expo_geom = expo([0,20,40,60,80]) # geometric altitudes by default\n",
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    ">>> print(expo_geom.rho) # [kg/m^3]\n",
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    ">>> # expo_geop = expo([0,20,40,60,80],'geopotential') # geopotential altitudes"
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   ]
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  },
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  {
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@ -80,21 +76,19 @@
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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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      "[288.15       216.65       250.35120115 247.01740767 198.63418825]\n",
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      "[1.01325000e+05 5.52919008e+03 2.87122194e+02 2.19548951e+01\n",
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      " 1.05207648e+00]\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 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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    ">>> coesa76_geom = coesa76([0,20,40,60,80]) # geometric altitudes by default\n",
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    ">>> print(coesa76_geom.rho) # [kg/m^3]\n",
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    ">>> print(coesa76_geom.T) # [K]\n",
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    ">>> print(coesa76_geom.P) # [Pa]\n",
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    ">>> # coesa76_geop = coesa76([0,20,40,60,80],'geopotential') # geopotential altitudes"
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   ]
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  },
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  {
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@ -125,18 +119,11 @@
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    }
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   ],
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   "source": [
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    ">>> from pyatmos import download_sw,read_sw\n",
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    ">>> from pyatmos import download_sw_nrlmsise00,read_sw_nrlmsise00\n",
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    ">>> # Download or update the space weather file from www.celestrak.com\n",
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    ">>> swfile = download_sw() \n",
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    ">>> swfile = download_sw_nrlmsise00() \n",
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    ">>> # Read the space weather data\n",
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    ">>> swdata = read_sw(swfile) "
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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 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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    ">>> swdata = read_sw_nrlmsise00(swfile) "
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   ]
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  },
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  {
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@ -148,30 +135,80 @@
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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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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      "1.714115212984513e-14\n",
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      "765.8976564552341\n",
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      "{'He': 645851224907.2849, 'O': 456706971423.5056, 'N2': 531545420.00015724, 'O2': 2681352.1654067687, 'Ar': 406.9308900607773, 'H': 157249711103.90558, 'N': 6759664327.87355, 'ANM O': 10526544596.059282}\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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    ">>> t = '2014-07-22 22:18:45' # 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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    ">>> nrl00 = nrlmsise00(t,(lat,lon,alt),swdata)\n",
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    ">>> print(nrl00.rho) # [kg/m^3]\n",
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    ">>> print(nrl00.T) # [K]\n",
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    ">>> print(nrl00.nd) # composition in [1/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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    "**Note: The range of longitude is [0,360] by default, and the west longitude can also be expressed as a negative number.**"
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    "#### JB2008"
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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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    "*Before using JB2008, 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": 5,
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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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      "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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   "source": [
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    ">>> from pyatmos import download_sw_jb2008,read_sw_jb2008\n",
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    ">>> # Download or update the space weather file from https://sol.spacenvironment.net\n",
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    ">>> swfile = download_sw_jb2008() \n",
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    ">>> # Read the space weather data\n",
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    ">>> swdata = read_sw_jb2008(swfile) "
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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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   "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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      "1.2991711750265394e-14\n",
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      "754.2803276187265\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 jb2008\n",
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    ">>> # Set a specific time and location\n",
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    ">>> t = '2014-07-22 22:18:45' # 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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    ">>> jb08 = jb2008(t,(lat,lon,alt),swdata)\n",
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    ">>> print(jb08.rho) # [kg/m^3]\n",
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    ">>> print(jb08.T) # [K]"
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   ]
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  },
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  {
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@ -179,15 +216,20 @@
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   "metadata": {},
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   "source": [
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    "## Change log\n",
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    "- **1.2.0 — Jan 22, 2021**\n",
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    "  - Added **Exponential Atmosphere** up to 1000km\n",
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    "  - Added **Committee on Extension to the Standard Atmosphere(COESA)** up to 1000km\n",
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    "\n",
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    "- **1.2.3 — Jun 7, 2021**\n",
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    "  - Added atmospheric models **JB2008**\n",
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    "  - Changed the output of the result to an instance\n",
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    "  - Improved the code structure for NRLMSISE-00, and the running speed is nearly threefold\n",
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    "- **1.2.1 — Jan 22, 2021**\n",
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    "  - Added **Exponential Atmosphere** up to 1000 km\n",
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    "  - Added **Committee on Extension to the Standard Atmosphere(COESA)** up to 1000 km\n",
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    "  - Completed part of the help documentation for NRLMSISE-00\n",
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    "  - Improved the code structure to make it easier to read\n",
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    "- **1.1.2 — Jul 26, 2020**\n",
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    "  - Added colored-progress bar for downloading data\n",
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    "- **1.1.0 — Mar 29,  2020**\n",
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    "  - Added the International Standard Atmosphere(ISA) Model up to 86kms  \n",
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    "  - Added the International Standard Atmosphere(ISA) Model up to 86kms   \n",
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    "\n",
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    "## Next release\n",
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    "\n",
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@ -200,7 +242,6 @@
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    "- [Public Domain Aeronautical Software](http://www.pdas.com/atmos.html) \n",
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    "- https://gist.github.com/buzzerrookie/5b6438c603eabf13d07e\n",
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    "- https://ww2.mathworks.cn/help/aerotbx/ug/atmosisa.html\n",
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    "\n",
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    "- [Original Fortran and C code](https://ccmc.gsfc.nasa.gov/pub/modelweb/atmospheric/msis/)\n",
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    "- [MSISE-00 in Python and Matlab](https://github.com/space-physics/msise00)\n",
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    "- [NRLMSISE-00 Atmosphere Model - Matlab](https://ww2.mathworks.cn/matlabcentral/fileexchange/56253-nrlmsise-00-atmosphere-model?requestedDomain=zh)\n",
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@ -208,8 +249,17 @@
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    "- [NRLMSISE-00 Atmosphere Model - CCMC](https://ccmc.gsfc.nasa.gov/modelweb/models/nrlmsise00.php)\n",
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    "- [NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues](http://onlinelibrary.wiley.com/doi/10.1029/2002JA009430/pdf)\n",
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    "- [ATMOSPHERIC MODELS](http://www.braeunig.us/space/atmmodel.htm)\n",
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    "- [poliastro-Atmosphere module](https://docs.poliastro.space/en/stable/api/safe/atmosphere/atmosphere_index.html?highlight=nrlmsise#famous-atmospheric-models)"
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    "- [poliastro-Atmosphere module](https://docs.poliastro.space/en/latest/autoapi/poliastro/earth/atmosphere/index.html?highlight=poliastro.earth.atmosphere)\n",
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    "- [ATMOSPHERE API](https://amentum.com.au/atmosphere)\n",
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    "- [COSPAR International Reference Atmosphere - 2012](https://spacewx.com/wp-content/uploads/2021/03/chapters_1_3.pdf)"
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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": null,
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   "metadata": {},
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   "outputs": [],
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   "source": []
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  }
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 ],
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 "metadata": {
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