Polar Orbiting Environmental Satellites (POES) Mission

The routines in this module can be used to load data from the Polar Orbiting Environmental Satellites (POES) Mission mission.

Space Environment Monitor (SEM)

pyspedas.poes.sem(trange=['2018-11-5', '2018-11-6'], probe=['noaa19'], datatype=None, suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)[source]

This function loads POES Space Environment Monitor (SEM) data

Parameters:

  • trange (list of str, default [``’2018-11-5’, ``'2018-11-6']) – time range of interest [starttime, endtime] with the format [‘YYYY-MM-DD’,’YYYY-MM-DD’] or to specify more or less than a day [‘YYYY-MM-DD/hh:mm:ss’,’YYYY-MM-DD/hh:mm:ss’]

  • probe (str or list of str, default [``’noaa19’``]) – POES spacecraft name(s); e.g., metop1, metop2, noaa15, noaa16, noaa18, noaa19

  • datatype (str, optional) – This variable is unused. It is reserved for the future use.

  • suffix (str, optional) – The tplot variable names will be given this suffix. By default, no suffix is added.

  • get_support_data (bool, default False) – Data with an attribute “VAR_TYPE” with a value of “support_data” will be loaded into tplot. By default, only loads in data with a “VAR_TYPE” attribute of “data”.

  • varformat (str, default False) – The file variable formats to load into tplot. Wildcard character * is accepted. By default, all variables are loaded in.

  • varnames (list of str, optional) – List of variable names to load (if not specified, all data variables are loaded)

  • downloadonly (bool, default False) – Set this flag to download the CDF files, but not load them into tplot variables

  • notplot (bool, default False) – Return the data in hash tables instead of creating tplot variables

  • no_update (bool, default False) – If set, only load data from your local cache

  • time_clip (bool, default False) – Time clip the variables to exactly the range specified in the trange keyword

Returns:

List of tplot variables created.

Return type:

dict or list

Examples

>>> sem_vars = pyspedas.poes.sem(trange=['2013-11-5', '2013-11-6'])
>>> tplot('ted_ele_tel30_low_eflux')

Example

import pyspedas
from pytplot import tplot
sem_vars = pyspedas.poes.sem(trange=['2013-11-5', '2013-11-6'])
tplot('ted_ele_tel30_low_eflux')
_images/poes_sem.png