Source code for pyspedas.projects.themis.state_tools.ssc_pre

from pyspedas.projects.themis.load import load


[docs] def ssc_pre( trange=["2026-03-23", "2026-03-24"], probe="c", level="l2", suffix="", get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=True, ): """ Load THEMIS predicted orbit data from CDAWeb/SSCWeb (Satellite Situation Center). For example: https://cdaweb.gsfc.nasa.gov/pub/data/themis/thc/ssc_pre/ Each downloaded file contains data for a full year. See also, pyspedas.projects.themis.state_tools.ssc Parameters ---------- 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'] Default: ['2017-03-23', '2017-03-24'] probe: str or list of str Spacecraft probe letter(s) ('a', 'b', 'c', 'd' and/or 'e') Default: 'c' level: str Data type; Default: 'l2'; Unused. suffix: str The tplot variable names will be given this suffix. Default: no suffix get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. Default: False; only loads data with a "VAR_TYPE" attribute of "data" varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. Default: None; all variables are loaded varnames: list of str List of variable names to load Default: Empty list, so all data variables are loaded downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables Default: False notplot: bool Return the data in hash tables instead of creating tplot variables Default: False no_update: bool If set, only load data from your local cache Default: False time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Default: True Returns ------- List of str List of tplot variables created Empty list if no data Example ------- >>> from pyspedas.projects.themis import ssc_pre >>> vars = ssc_pre(probe='d', trange=['2026-12-25', '2026-12-26']) >>> print(vars) """ return load( instrument="ssc_pre", trange=trange, level=level, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, probe=probe, time_clip=time_clip, no_update=no_update, )