Magnetic Induction Coil Array (MICA)

The routines in this module can be used to load data from the Magnetic Induction Coil Array (MICA) mission.

Induction data

pyspedas.mica.induction(site=None, trange=['2019-02-01', '2019-02-02'], suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False)

This function loads data from the Magnetic Induction Coil Array (MICA)

  • site (str) – abbreviated name of station. sites include: NAL, LYR, LOR, ISR, SDY, IQA, SNK, MCM, SPA, JBS, NEV, HAL, PG2[3,4,5]

  • trange (list of str) – 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’]

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

  • get_support_data (bool) – 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) – The file variable formats to load into tplot. Wildcard character “*” is accepted. By default, all variables are loaded in.

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

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

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

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

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

Return type

List of tplot variables created.


import pyspedas
from pytplot import tplot
nal_vars = pyspedas.mica.induction(site='NAL', trange=['2019-02-01','2019-02-02'])