140 lines
4.5 KiB
Python
140 lines
4.5 KiB
Python
import numpy as np
|
|
from datetime import datetime,timedelta
|
|
from os import path,makedirs,remove
|
|
from pathlib import Path
|
|
|
|
from ..utils.try_download import tqdm_request
|
|
|
|
def download_sw_nrlmsise00(direc=None):
|
|
'''
|
|
Download or update the space weather data from www.celestrak.com
|
|
|
|
Usage:
|
|
swfile = download_sw([direc])
|
|
|
|
Inputs:
|
|
direc -> [str, optional] Directory for storing the space weather data
|
|
|
|
Outputs:
|
|
swfile -> [str] Path of the space weather data
|
|
|
|
Examples:
|
|
>>> swfile = download_sw()
|
|
>>> swfile = download_sw('sw-data/')
|
|
'''
|
|
|
|
if direc is None:
|
|
home = str(Path.home())
|
|
direc = home + '/src/sw-data/'
|
|
|
|
swfile = direc + 'SW-All.txt'
|
|
url = 'https://www.celestrak.com/SpaceData/SW-All.txt'
|
|
|
|
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)
|
|
else:
|
|
modified_time = datetime.fromtimestamp(path.getmtime(swfile))
|
|
if datetime.now() > modified_time + timedelta(days=1):
|
|
remove(swfile)
|
|
desc = 'Updating the space weather data {:s} from CELESTRAK'.format('SW-All.txt')
|
|
tqdm_request(url,direc,'SW-All.txt',desc)
|
|
else:
|
|
print('The space weather data in {:s} is already the latest.'.format(direc))
|
|
return swfile
|
|
|
|
def read_sw_nrlmsise00(swfile):
|
|
'''
|
|
Parse and read the space weather data
|
|
|
|
Usage:
|
|
sw_obs_pre = read_sw(swfile)
|
|
|
|
Inputs:
|
|
swfile -> [str] Path of the space weather data
|
|
|
|
Outputs:
|
|
sw_obs_pre -> [2d str array] Content of the space weather data
|
|
|
|
Examples:
|
|
>>> swfile = 'sw-data/SW-All.txt'
|
|
>>> sw_obs_pre = read_sw(swfile)
|
|
>>> print(sw_obs_pre)
|
|
[['2020' '01' '07' ... '72.4' '68.0' '71.0']
|
|
['2020' '01' '06' ... '72.4' '68.1' '70.9']
|
|
...
|
|
...
|
|
['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)
|
|
|
|
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):
|
|
'''
|
|
Extract the necessary parameters describing the solar activity and geomagnetic activity from the space weather data.
|
|
|
|
Usage:
|
|
f107A,f107,ap,aph = get_sw(SW_OBS_PRE,t_ymd,hour)
|
|
|
|
Inputs:
|
|
SW_OBS_PRE -> [2d str array] Content of the space weather data
|
|
t_ymd -> [str array or list] ['year','month','day']
|
|
hour -> []
|
|
|
|
Outputs:
|
|
f107A -> [float] 81-day average of F10.7 flux
|
|
f107 -> [float] daily F10.7 flux for previous day
|
|
ap -> [int] daily magnetic index
|
|
aph -> [float array] 3-hour magnetic index
|
|
|
|
Examples:
|
|
>>> f107A,f107,ap,aph = get_sw(SW_OBS_PRE,t_ymd,hour)
|
|
'''
|
|
|
|
ymds = SW_OBS_PRE[:,0]
|
|
j_, = np.where(''.join(t_ymd) == ymds)
|
|
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]
|
|
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)
|
|
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])
|
|
aph_3657 = np.average(aph_tmp[apc_index+12:apc_index+20])
|
|
aph = np.hstack((ap,aph_c369,aph_1233,aph_3657))
|
|
return f107A,f107,ap,aph
|