4.1 KiB
Executable File
4.1 KiB
Executable File
Welcome to ATMOS
The pyatmos package is an archive of scientific routines that can be used to handle atmospheric models. Currently, only nrlmsise00 is feasible, which is valid from altitude z = 0..1000 km.
How to Install
pip install pyatmos
Examples
from pyatmos.msise import download_sw,read_sw
from pyatmos.atmosclasses import Coordinate
# Download or update the space weather file from www.celestrak.com
swfile = download_sw()
# Read the space weather data
sw_obs_pre = read_sw(swfile)
# Test 1
# Set a specific time and location
t = '2015-10-05 03:00:00' # time(UTC)
lat,lon = 25,102 # latitude and longitude [degree]
alt = 70 # altitude [km]
# Initialize a coordinate instance by a space-time point
st = Coordinate(t,lat,lon,alt)
para_input,para_output = st.nrlmsise00(sw_obs_pre)
print(para_input)
{'doy': 278, 'year': 2015, 'sec': 10800.0, 'alt': 70, 'g_lat': 25, 'g_long': 102, 'lst': 9.8, 'f107A': 150, 'f107': 150, 'ap': 4, 'ap_a': array([4, 4, 4, 4, 4, 4, 4])}
print(para_output)
{'d': {'He': 9100292488300570.0, 'O': 0, 'N2': 1.3439413974205876e+21, 'O2': 3.52551376755781e+20, 'AR': 1.6044163757370681e+19, 'RHO': 8.225931818480755e-05, 'H': 0, 'N': 0, 'ANM O': 0}, 't': {'TINF': 1027.3184649, 'TG': 219.9649472491653}}
# Test 2
t = '2004-07-08 10:30:50'
lat,lon,alt = -65,-120,100
st = Coordinate(t,lat,lon,alt)
para_input,para_output = st.nrlmsise00(sw_obs_pre)
print(para_input)
{'doy': 190, 'year': 2004, 'sec': 37850.0, 'alt': 100, 'g_lat': -65, 'g_long': -120, 'lst': 2.5138888888888893, 'f107A': 109.0, 'f107': 79.3, 'ap': 2, 'ap_a': array([2. , 2. , 2. , 2. , 2. , 3.125, 4.625])}
print(para_output)
{'d': {'He': 119477307274636.89, 'O': 4.1658304136233e+17, 'N2': 7.521248904485598e+18, 'O2': 1.7444969074975662e+18, 'AR': 7.739495767665198e+16, 'RHO': 4.584596293339505e-07, 'H': 22215754381448.5, 'N': 152814261016.3964, 'ANM O': 1.8278224834873257e-37}, 't': {'TINF': 1027.3184649, 'TG': 192.5868649143824}}
# Test 3
t = '2010-02-15 12:18:37'
lat,lon,alt = 85,210,500
st = Coordinate(t,lat,lon,alt)
para_input,para_output = st.nrlmsise00(sw_obs_pre,'NoOxygen','Aph')
print(para_input)
{'doy': 46, 'year': 2010, 'sec': 44317.0, 'alt': 500, 'g_lat': 85, 'g_long': 210, 'lst': 2.310277777777779, 'f107A': 83.4, 'f107': 89.4, 'ap': 14, 'ap_a': array([14. , 5. , 7. , 6. , 15. , 5.375, 4. ])}
print(para_output)
{'d': {'He': 3314507585382.5425, 'O': 3855595951659.0874, 'N2': 19285497858.028534, 'O2': 395599656.3119481, 'AR': 146073.85956102316, 'RHO': 1.2650700238089615e-13, 'H': 171775437382.8238, 'N': 38359828672.39737, 'ANM O': 5345258193.554493}, 't': {'TINF': 776.3155804924045, 'TG': 776.3139192714452}}
# Test 4
t = '2019-08-20 23:10:59'
lat,lon,alt = 3,5,900
st = Coordinate(t,lat,lon,alt)
para_input,para_output = st.nrlmsise00(sw_obs_pre,aphmode = 'Aph')
print(para_input)
{'doy': 232, 'year': 2019, 'sec': 83459.0, 'alt': 900, 'g_lat': 3, 'g_long': 5, 'lst': 23.51638888888889, 'f107A': 67.4, 'f107': 67.7, 'ap': 4, 'ap_a': array([4. , 4. , 3. , 3. , 5. , 3.625, 3.5 ])}
print(para_output)
{'d': {'He': 74934329990.0412, 'O': 71368139.39199762, 'N2': 104.72048033793158, 'O2': 0.09392848471935447, 'AR': 1.3231114543012155e-07, 'RHO': 8.914971667362366e-16, 'H': 207405192640.34592, 'N': 3785341.821909535, 'ANM O': 1794317839.638502}, 't': {'TINF': 646.8157488121493, 'TG': 646.8157488108872}}