change the space weather file from 'SW-ALL.txt' to 'SW-ALL.csv'

This commit is contained in:
Chunxiao Li 2023-02-16 15:26:34 +08:00
parent e079601ea4
commit 1cfd030342
29 changed files with 331 additions and 152 deletions

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@ -0,0 +1,248 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Welcome to ATMOS\n",
"\n",
"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). "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How to install\n",
"\n",
"On Linux, macOS and Windows architectures, the binary wheels can be installed using pip by executing one of the following commands:\n",
"\n",
"```python\n",
"pip install pyatmos\n",
"pip install pyatmos --upgrade # to upgrade a pre-existing installation\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How to use"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Exponential"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
">>> from pyatmos import expo\n",
">>> expo_geom = expo([0,20,40,60,80]) # geometric altitudes by default\n",
">>> print(expo_geom.rho) # [kg/m^3]\n",
">>> # expo_geop = expo([0,20,40,60,80],'geopotential') # geopotential altitudes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### COESA 1976"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
">>> from pyatmos import coesa76\n",
">>> coesa76_geom = coesa76([0,20,40,60,80]) # geometric altitudes by default\n",
">>> print(coesa76_geom.rho) # [kg/m^3]\n",
">>> print(coesa76_geom.T) # [K]\n",
">>> print(coesa76_geom.P) # [Pa]\n",
">>> # coesa76_geop = coesa76([0,20,40,60,80],'geopotential') # geopotential altitudes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### NRLMSISE-00"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Before using NRLMSISE-00, the space weather data needs to be prepared in advance.*"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The Space Weather file 'SW-All.csv' in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
]
}
],
"source": [
">>> from pyatmos import download_sw_nrlmsise00,read_sw_nrlmsise00\n",
">>> # Download or update the space weather file from www.celestrak.com\n",
">>> swfile = download_sw_nrlmsise00() \n",
">>> # Read the space weather data\n",
">>> swdata = read_sw_nrlmsise00(swfile) "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.714115212984513e-14\n",
"765.8976564552341\n",
"{'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"
]
}
],
"source": [
">>> from pyatmos import nrlmsise00\n",
">>> # Set a specific time and location\n",
">>> t = '2014-07-22 22:18:45' # time(UTC) \n",
">>> lat,lon,alt = 25,102,600 # latitude, longitude in [degree], and altitude in [km]\n",
">>> nrl00 = nrlmsise00(t,(lat,lon,alt),swdata)\n",
">>> print(nrl00.rho) # [kg/m^3]\n",
">>> print(nrl00.T) # [K]\n",
">>> print(nrl00.nd) # composition in [1/m^3]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### JB2008"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Before using JB2008, the space weather data needs to be prepared in advance.*"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
">>> from pyatmos import download_sw_jb2008,read_sw_jb2008\n",
">>> # Download or update the space weather file from https://sol.spacenvironment.net\n",
">>> swfile = download_sw_jb2008() \n",
">>> # Read the space weather data\n",
">>> swdata = read_sw_jb2008(swfile) "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
">>> from pyatmos import jb2008\n",
">>> # Set a specific time and location\n",
">>> t = '2014-07-22 22:18:45' # time(UTC) \n",
">>> lat,lon,alt = 25,102,600 # latitude, longitude in [degree], and altitude in [km]\n",
">>> jb08 = jb2008(t,(lat,lon,alt),swdata)\n",
">>> print(jb08.rho) # [kg/m^3]\n",
">>> print(jb08.T) # [K]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Change log\n",
"\n",
"- **1.2.3 — Jun 7, 2021**\n",
" - Added atmospheric models **JB2008**\n",
" - Changed the output of the result to an instance\n",
" - Improved the code structure for NRLMSISE-00, and the running speed is nearly threefold\n",
"- **1.2.1 — Jan 22, 2021**\n",
" - Added **Exponential Atmosphere** up to 1000 km\n",
" - Added **Committee on Extension to the Standard Atmosphere(COESA)** up to 1000 km\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 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",
"- U.S. Standard Atmosphere, 1976, U.S. Government Printing Office, Washington, D.C. \n",
"- [Public Domain Aeronautical Software](http://www.pdas.com/atmos.html) \n",
"- https://gist.github.com/buzzerrookie/5b6438c603eabf13d07e\n",
"- https://ww2.mathworks.cn/help/aerotbx/ug/atmosisa.html\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/latest/autoapi/poliastro/earth/atmosphere/index.html?highlight=poliastro.earth.atmosphere)\n",
"- [ATMOSPHERE API](https://amentum.com.au/atmosphere)\n",
"- [COSPAR International Reference Atmosphere - 2012](https://spacewx.com/wp-content/uploads/2021/03/chapters_1_3.pdf)"
]
},
{
"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": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

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@ -1,6 +1,6 @@
MIT License
Copyright (c) 2019-2021 Chunxiao Li
Copyright (c) 2019-2023 Chunxiao Li
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

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@ -123,6 +123,10 @@ pip install pyatmos --upgrade # to upgrade a pre-existing installation
```
## Change log
- **1.2.4 — Feb 16, 2023**
- Changed functions `read_sw_nrlmsise00` and `get_sw` due to the space weather file changed from 'SW-ALL.txt' to 'SW-ALL.csv'
- Deleted the colored-progress bar for downloading space weather file, and use `wget` instead.
- **1.2.3 — Jun 7, 2021**
- Added atmospheric models **JB2008**
- Changed the output of the result to an instance
@ -158,4 +162,3 @@ pip install pyatmos --upgrade # to upgrade a pre-existing installation
- [poliastro-Atmosphere module](https://docs.poliastro.space/en/latest/autoapi/poliastro/earth/atmosphere/index.html?highlight=poliastro.earth.atmosphere)
- [ATMOSPHERE API](https://amentum.com.au/atmosphere)
- [COSPAR International Reference Atmosphere - 2012](https://spacewx.com/wp-content/uploads/2021/03/chapters_1_3.pdf)

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@ -3,7 +3,7 @@ from datetime import datetime,timedelta
from os import path,makedirs,remove
from pathlib import Path
from ..utils.try_download import tqdm_request
from ..utils.try_download import wget_download
from ..utils import Const
def download_sw_jb2008(direc=None):
@ -37,21 +37,21 @@ def download_sw_jb2008(direc=None):
if not path.exists(direc): makedirs(direc)
if not path.exists(swfile1):
desc1 = "Downloading the space weather data '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
desc2 = "Downloading the space weather data '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
tqdm_request(url1,direc,'SOLFSMY.TXT',desc1)
tqdm_request(url2,direc,'DTCFILE.TXT',desc2)
desc1 = "Downloading the Space Weather file '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
desc2 = "Downloading the Space Weather file '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
wget_download(url1,swfile1,desc1)
wget_download(url2,swfile2,desc2)
else:
modified_time = datetime.fromtimestamp(path.getmtime(swfile1))
if datetime.now() > modified_time + timedelta(days=1):
remove(swfile1)
remove(swfile2)
desc1 = "Updating the space weather data '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
desc2 = "Updating the space weather data '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
tqdm_request(url1,direc,'SOLFSMY.TXT',desc1)
tqdm_request(url2,direc,'DTCFILE.TXT',desc2)
desc1 = "Updating the Space weather data '{:s}' from Space Environment Technologies(SET)".format('SOLFSMY.TXT')
desc2 = "Updating the Space weather data '{:s}' from Space Environment Technologies(SET)".format('DTCFILE.TXT')
wget_download(url1,swfile1,desc1)
wget_download(url2,swfile2,desc2)
else:
print("The space weather data '{0:s}' and '{1:s}' in {2:s} is already the latest.".format('SOLFSMY.TXT','DTCFILE.TXT',direc))
print("The Space Weather files '{:s}' and '{:s}' in {:s} are already the latest.".format('SOLFSMY.TXT','DTCFILE.TXT',direc))
return [swfile1,swfile2]
def read_sw_jb2008(swfile):

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@ -51,9 +51,8 @@ def nrlmsise00(t,location,SW_OBS_PRE,aphmode=True):
alt = h
t = Time(t)
lon_wrap = wraplon(lon)
t_ymd = t.isot.split('T')[0]
t_yday = t.yday.split(':')
t_ymd = t.iso.split()[0].split('-')
year,doy = int(t_yday[0]),int(t_yday[1])
hour,sec = hms_conver(int(t_yday[2]),int(t_yday[3]),float(t_yday[4]))
lst = hour + wraplon(lon)/15
@ -62,6 +61,7 @@ def nrlmsise00(t,location,SW_OBS_PRE,aphmode=True):
else:
f107A,f107,ap,aph = 150,150,4,np.full(7,4)
lon_wrap = wraplon(lon)
inputp = {'doy':doy,'year':year,'sec':sec,'alt':alt,'g_lat':lat,'g_lon':lon_wrap,'lst':lst,\
'f107A':f107A,'f107':f107,'ap':ap,'ap_a':aph}

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@ -1,9 +1,10 @@
import numpy as np
from datetime import datetime,timedelta
import pandas as pd
from os import path,makedirs,remove
from pathlib import Path
from ..utils.try_download import tqdm_request
from ..utils.try_download import wget_download
def download_sw_nrlmsise00(direc=None):
'''
@ -27,21 +28,21 @@ def download_sw_nrlmsise00(direc=None):
home = str(Path.home())
direc = home + '/src/sw-data/'
swfile = direc + 'SW-All.txt'
url = 'https://www.celestrak.com/SpaceData/SW-All.txt'
swfile = direc + 'SW-All.csv'
url = 'https://www.celestrak.com/SpaceData/SW-All.csv'
if not path.exists(direc): makedirs(direc)
if not path.exists(swfile):
desc = "Downloading the space weather data '{:s}' from CELESTRAK".format('SW-All.txt')
tqdm_request(url,direc,'SW-All.txt',desc)
desc = "Downloading the Space Weather file '{:s}' from CELESTRAK".format('SW-All.csv')
wget_download(url,swfile,desc)
else:
modified_time = datetime.fromtimestamp(path.getmtime(swfile))
if datetime.now() > modified_time + timedelta(days=1):
if datetime.now() > modified_time + timedelta(days=7):
remove(swfile)
desc = "Updating the space weather data '{:s}' from CELESTRAK".format('SW-All.txt')
tqdm_request(url,direc,'SW-All.txt',desc)
desc = "Updating the Space Weather file '{:s}' from CELESTRAK".format('SW-All.csv')
wget_download(url,swfile,desc)
else:
print("The space weather data '{0:s}' in {1:s} is already the latest.".format('SW-All.txt',direc))
print("The Space Weather file '{:s}' in {:s} is already the latest.".format('SW-All.csv',direc))
return swfile
def read_sw_nrlmsise00(swfile):
@ -49,7 +50,7 @@ def read_sw_nrlmsise00(swfile):
Parse and read the space weather data
Usage:
sw_obs_pre = read_sw(swfile)
sw_obs_pre = read_sw_nrlmsise00(swfile)
Inputs:
swfile -> [str] Path of the space weather data
@ -58,7 +59,7 @@ def read_sw_nrlmsise00(swfile):
sw_obs_pre -> [2d str array] Content of the space weather data
Examples:
>>> swfile = 'sw-data/SW-All.txt'
>>> swfile = 'sw-data/SW-All.csv'
>>> sw_obs_pre = read_sw(swfile)
>>> print(sw_obs_pre)
[['2020' '01' '07' ... '72.4' '68.0' '71.0']
@ -68,37 +69,14 @@ def read_sw_nrlmsise00(swfile):
['1957' '10' '02' ... '253.3' '267.4' '231.7']
['1957' '10' '01' ... '269.3' '266.6' '230.9']]
'''
sw_data = open(swfile,'r').readlines()
SW_OBS,SW_PRE = [],[]
flag1 = flag2 = 0
for line in sw_data:
if line.startswith('BEGIN OBSERVED'):
flag1 = 1
continue
if line.startswith('END OBSERVED'): flag1 = 0
if flag1 == 1:
sw_p = line.split()
if len(sw_p) == 30:
del sw_p[24]
elif len(sw_p) == 31:
sw_p = np.delete(sw_p,[23,25])
else:
sw_p = np.delete(sw_p,[23,24,25,27])
SW_OBS.append(sw_p)
sw_df = pd.read_csv(swfile)
sw_df.dropna(subset=['C9'],inplace=True)
# Sort from newest date to past
sw_df.sort_values(by=['DATE'],ascending=False,inplace=True)
sw_df.reset_index(drop=True,inplace=True)
return sw_df
if line.startswith('BEGIN DAILY_PREDICTED'):
flag2 = 1
continue
if line.startswith('END DAILY_PREDICTED'): break
if flag2 == 1: SW_PRE.append(line.split())
SW_OBS_PRE = np.vstack((np.array(SW_OBS),np.array(SW_PRE)))
# inverse sort
SW_OBS_PRE = np.flip(SW_OBS_PRE,0).astype(dtype='<U8')
ymds = np.apply_along_axis(''.join, 1, SW_OBS_PRE[:,:3])
SW_OBS_PRE = np.insert(SW_OBS_PRE[:,3:],0,ymds,axis=1)
return SW_OBS_PRE
def get_sw(SW_OBS_PRE,t_ymd,hour):
def get_sw(sw_df,t_ymd,hour):
'''
Extract the necessary parameters describing the solar activity and geomagnetic activity from the space weather data.
@ -120,17 +98,17 @@ def get_sw(SW_OBS_PRE,t_ymd,hour):
>>> f107A,f107,ap,aph = get_sw(SW_OBS_PRE,t_ymd,hour)
'''
ymds = SW_OBS_PRE[:,0]
j_, = np.where(''.join(t_ymd) == ymds)
ymds = sw_df['DATE']
j_, = np.where(sw_df['DATE'] == t_ymd)
j = j_[0]
f107A,f107,ap = float(SW_OBS_PRE[j,25]),float(SW_OBS_PRE[j+1,24]),int(SW_OBS_PRE[j,20])
aph_tmp_b0 = SW_OBS_PRE[j,12:20]
f107A,f107,ap = sw_df.iloc[j]['F10.7_OBS_CENTER81'],sw_df.iloc[j+1]['F10.7_OBS'],sw_df.iloc[j]['AP_AVG']
aph_tmp_b0 = sw_df.iloc[j]['AP1':'AP8']
i = int(np.floor_divide(hour,3))
ap_c = aph_tmp_b0[i]
aph_tmp_b1 = SW_OBS_PRE[j+1,12:20]
aph_tmp_b2 = SW_OBS_PRE[j+2,12:20]
aph_tmp_b3 = SW_OBS_PRE[j+3,12:20]
aph_tmp = np.hstack((aph_tmp_b3,aph_tmp_b2,aph_tmp_b1,aph_tmp_b0))[::-1].astype(np.float)
aph_tmp_b1 = sw_df.iloc[j+1]['AP1':'AP8']
aph_tmp_b2 = sw_df.iloc[j+2]['AP1':'AP8']
aph_tmp_b3 = sw_df.iloc[j+3]['AP1':'AP8']
aph_tmp = np.hstack((aph_tmp_b3,aph_tmp_b2,aph_tmp_b1,aph_tmp_b0))[::-1]
apc_index = 7-i
aph_c369 = aph_tmp[apc_index:apc_index+4]
aph_1233 = np.average(aph_tmp[apc_index+4:apc_index+12])

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@ -1,33 +1,21 @@
import requests
from tqdm import tqdm
from colorama import Fore
from time import sleep
from os import remove
import wget
def tqdm_request(url,dir_to,file,desc):
'''
Try to download files from a remote server by request with a colored progress bar.
'''
block_size = 1024*10
bar_format = "{l_bar}%s{bar}%s{r_bar}" % (Fore.BLUE, Fore.RESET)
for idownload in range(5):
try:
local_file = open(dir_to + file, 'ab')
pos = local_file.tell()
res = requests.get(url,stream=True,timeout=100,headers={'Accept-Encoding': None,'Range': f'bytes={pos}-'})
total_size = int(res.headers.get('content-length'))
pbar = tqdm(desc = desc,total=total_size,unit='B',unit_scale=True,bar_format = bar_format,position=0,initial=pos)
for chunk in res.iter_content(block_size):
pbar.update(len(chunk))
local_file.write(chunk)
pbar.close()
res.close()
break
except:
sleep(2)
if idownload == 4:
remove(dir_to + file)
print('No response, skip this file.')
finally:
local_file.close()
def wget_download(url,dir_file,desc=None):
"""
Download files by wget command
Inputs:
url -> [str]
dir_file -> [str] output filename or directory
Parameters:
desc -> [str] description of the downloading
Outpits:
wget_out -> [str] path and filename where URL is downloaded to
"""
if desc: print(desc)
wget_out = wget.download(url,dir_file)
print()
return wget_out

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@ -2,7 +2,7 @@ from setuptools import setup,find_packages
setup(
name = 'pyatmos',
version = '1.2.3',
version = '1.2.4',
description = 'A package to estimate the vertical structure of atmosphere with various atmospheric density models',
author = 'Chunxiao Li',
author_email = 'lcx366@126.com',
@ -27,9 +27,9 @@ setup(
'scipy',
'numpy',
'numba',
'pandas',
'astropy',
'pyshtools',
'tqdm',
'colorama'
'wget'
]
)

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@ -39,18 +39,9 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1.22500000e+00 7.76098911e-02 3.97200000e-03 3.20600000e-04\n",
" 1.90500000e-05]\n"
]
}
],
"outputs": [],
"source": [
">>> from pyatmos import expo\n",
">>> expo_geom = expo([0,20,40,60,80]) # geometric altitudes by default\n",
@ -67,21 +58,9 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1.22499916e+00 8.89079563e-02 3.99535051e-03 3.09628985e-04\n",
" 1.84514759e-05]\n",
"[288.15 216.65 250.35120115 247.01740767 198.63418825]\n",
"[1.01325000e+05 5.52919008e+03 2.87122194e+02 2.19548951e+01\n",
" 1.05207648e+00]\n"
]
}
],
"outputs": [],
"source": [
">>> from pyatmos import coesa76\n",
">>> coesa76_geom = coesa76([0,20,40,60,80]) # geometric altitudes by default\n",
@ -107,14 +86,14 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The space weather data in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
"The Space Weather file 'SW-All.csv' in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
]
}
],
@ -128,7 +107,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 2,
"metadata": {},
"outputs": [
{
@ -168,17 +147,9 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The space weather data in /Users/lichunxiao/src/sw-data/ is already the latest.\n"
]
}
],
"outputs": [],
"source": [
">>> from pyatmos import download_sw_jb2008,read_sw_jb2008\n",
">>> # Download or update the space weather file from https://sol.spacenvironment.net\n",
@ -189,18 +160,9 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.2991711750265394e-14\n",
"754.2803276187265\n"
]
}
],
"outputs": [],
"source": [
">>> from pyatmos import jb2008\n",
">>> # Set a specific time and location\n",
@ -264,9 +226,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "py3.9",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "py3.9"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
@ -278,7 +240,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.9.16"
}
},
"nbformat": 4,