#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2019, AGB & GC
# Full license can be found in License.md
# ----------------------------------------------------------------------------
"""Hold, manipulate, and load the open-closed field line boundary data
Functions
---------
retrieve_all_good_indices(ocb)
Retrieve all good boundary indices
match_data_ocb(ocb, dat_dtime, kwargs)
Match data with open-closed field line boundaries
Classes
-------
OCBoundary Loads, holds, and cycles the open-closed field line boundary data.
Calculates magnetic coordinates relative to OCB (setting OCB at
74 degrees latitude) given an AACGM location.
Moduleauthor
------------
Angeline G. Burrell (AGB), 15 April 2017, University of Texas, Dallas
References
----------
Chisham, G. (2017), A new methodology for the development of high-latitude
ionospheric climatologies and empirical models, Journal of Geophysical
Research: Space Physics, 122, doi:10.1002/2016JA023235.
"""
from __future__ import absolute_import, unicode_literals
import datetime as dt
import numpy as np
import types
import aacgmv2
import ocbpy
import ocbpy.ocb_correction as ocbcor
from ocbpy import ocb_time
from ocbpy.boundaries.files import get_default_file
[docs]class OCBoundary(object):
""" Object containing open-closed field-line boundary (OCB) data
Attributes
----------
filename : (str or NoneType)
OCBoundary filename or None, if problem loading default
boundary_lat : (float)
Typical OCBoundary latitude in AACGM coordinates. Hemisphere will
give this boundary the desired sign. (default=74.0)
hemisphere : (int)
Integer (+/- 1) denoting northern/southern hemisphere (default=1)
records : (int)
Number of OCB records (default=0)
rec_ind : (int)
Current OCB record index (default=0; initialised=-1)
dtime : (numpy.ndarray or NoneType)
Numpy array of OCB datetimes (default=None)
phi_cent : (numpy.ndarray or NoneType)
Numpy array of floats that give the angle from AACGM midnight
of the OCB pole in degrees (default=None)
r_cent : (numpy.ndarray or NoneType)
Numpy array of floats that give the AACGM co-latitude of the OCB
pole in degrees (default=None)
r : (numpy.ndarray or NoneType)
Numpy array of floats that give the radius of the OCBoundary
in degrees (default=None)
rfunc : (numpy.ndarray, function, or NoneType)
Non-circular boundaries must be specified by a boundary function that
alters r at a specified AACGM MLT (in hours). To allow the boundary
shape to change with time, each temporal instance may have a different
function. If a single function is provided, will recast as an array
that specifies this function for all times (default=None)
rfunc_kwargs : (numpy.ndarray, dict, or NoneType)
Array of optional keyword arguements for rfunc. If None is specified,
uses function defaults. If dict is specified, recasts as an array
of this dict for all times (default=None)
(more) : (numpy.ndarray or NoneType)
Numpy array of floats that hold the remaining values in input file
Methods
-------
inst_defaults()
Get the information needed to load an OCB file using instrument
specific formatting, and update the boundary latitude for a given
instrument type.
load(hlines=0, ocb_cols='year soy num_sectors phi_cent r_cent r a r_err',
datetime_fmt='', stime=None, etime=None)
Load the data from the OCB file specified by self.filename
get_next_good_ocb_ind(min_sectors=7, rcent_dev=8.0, max_r=23.0, min_r=10.0)
Cycle to the next good OCB index
normal_coord(aacgm_lat, aacgm_mlt)
Calculate the OCB coordinates of an AACGM location
revert_coord(ocb_lat, ocb_mlt)
Calculate the AACGM location of OCB coordinates for this OCB
"""
def __init__(self, filename="default", instrument='', hemisphere=1,
boundary_lat=74.0, stime=None, etime=None, rfunc=None,
rfunc_kwargs=None):
"""Object containing OCB data
Parameters
----------
filename : (str or NoneType)
File containing the required open-closed circle boundary data
sorted by time. If NoneType, no file is loaded. If 'default',
ocbpy.boundaries.files.get_default_file is called.
(default='default')
instrument : (str)
Instrument providing the OCBoundaries. Requires 'image', 'ampere',
or 'dmsp-ssj' if a file is provided. If using filename='default',
also accepts 'amp', 'si12', 'si13', 'wic', and ''. (default='')
hemisphere : (int)
Integer (+/- 1) denoting northern/southern hemisphere (default=1)
boundary_lat : (float)
Latitude of the OCBoundary, which determines the resolution of
data within the polar cap (default=74.0)
stime : (datetime or NoneType)
First time to load data or beginning of file. If specifying time,
be sure to start before the time of the data to allow the best
match within the allowable time tolerance to be found.
(default=None)
etime : (datetime or NoneType)
Last time to load data or ending of file. If specifying time, be
sure to end after the last data point you wish to match to, to
ensure the best match within the allowable time tolerance is made.
(default=None)
min_fom : (float)
Minimum acceptable figure of merit for data (default=0)
rfunc : (np.ndarray, function, or NoneType)
OCB radius correction function, if None will use instrument
default. Function must have AACGM MLT as argument input.
(default=None)
rfunc_kwargs : (np.ndarray, dict, or NoneType)
OCB radius correction function keyword arguments. (default={})
"""
if not hasattr(instrument, "lower"):
estr = "OCB instrument must be a string [{:}]".format(instrument)
ocbpy.logger.error(estr)
self.filename = None
self.instrument = None
else:
self.instrument = instrument.lower()
# If a filename wanted and not provided, get one
if filename is None:
self.filename = None
elif not hasattr(filename, "lower"):
estr = "filename is not a string [{:}]".format(filename)
ocbpy.logger.warning(estr)
self.filename = None
elif filename.lower() == "default":
self.filename, self.instrument = get_default_file(
stime, etime, hemisphere, self.instrument)
else:
self.filename = filename
# If a filename is available, make sure it is good
if self.filename is not None:
if not ocbpy.instruments.test_file(self.filename):
# If the filename is bad, return an uninitialized object
estr = "cannot open OCB file [{:s}]".format(self.filename)
ocbpy.logger.warning(estr)
self.filename = None
if hemisphere not in [1, -1]:
raise ValueError("hemisphere must be 1 (north) or -1 (south)")
self.hemisphere = hemisphere
self.records = 0
self.rec_ind = 0
self.dtime = None
self.phi_cent = None
self.r_cent = None
self.r = None
self.rfunc = rfunc
self.rfunc_kwargs = rfunc_kwargs
self.min_fom = 0
# Get the instrument defaults
hlines, ocb_cols, datetime_fmt = self.inst_defaults()
# Set the boundary latitude, if supplied
self.boundary_lat = 74.0 if boundary_lat is None else boundary_lat
# Ensure that the boundary is in the correct hemisphere
if np.sign(boundary_lat) != np.sign(hemisphere):
self.boundary_lat *= -1.0
# If possible, load the data. Any boundary correction is applied here.
if self.filename is not None:
if len(ocb_cols) > 0:
self.load(hlines=hlines, ocb_cols=ocb_cols,
datetime_fmt=datetime_fmt, stime=stime, etime=etime)
else:
self.load(stime=stime, etime=etime)
return
def __repr__(self):
""" Provide readable representation of the OCBoundary object """
if self.filename is None:
out = "No Open-Closed Boundary file specified\n"
else:
out = "Open-Closed Boundary file: {:s}\n".format(self.filename)
out = "{:s}Source instrument: ".format(out)
out = "{:s}{:s}\n".format(out, self.instrument.upper())
out = "{:s}Open-Closed Boundary reference latitude: ".format(out)
out = "{:s}{:.1f} degrees\n\n".format(out, self.boundary_lat)
if self.records == 0:
out = "{:s}No data loaded\n".format(out)
else:
out = "{:s}{:d} records from {:}".format(out, self.records,
self.dtime[0])
out = "{:s} to {:}\n\n".format(out, self.dtime[-1])
if self.records == 1:
irep = [0]
else:
irep = np.unique(
np.arange(0, self.records, 1)[[0, 1, -2, -1]])
head = "YYYY-MM-DD HH:MM:SS Phi_Centre R_Centre R"
out = "{:s}{:s}\n{:-<77s}\n".format(out, head, "")
for i in irep:
out = "{:s}{:} {:.2f}".format(out, self.dtime[i],
self.phi_cent[i])
out = "{:s} {:.2f} {:.2f}\n".format(out, self.r_cent[i],
self.r[i])
# Determine which scaling functions are used
if self.rfunc is not None:
out = "{:s}\nUses scaling function(s):\n".format(out)
fnames = list(set([ff.__name__ for ff in self.rfunc]))
for ff in fnames:
kw = list(set([self.rfunc_kwargs[i].__str__()
for i, rf in enumerate(self.rfunc)
if rf.__name__ == ff]))
for kk in kw:
out = "{:s}{:s}(**{:s})\n".format(out, ff, kk)
return out
def __str__(self):
""" Provide readable representation of the OCBoundary object """
out = self.__repr__()
return out
[docs] def inst_defaults(self):
""" Get the information needed to load an OCB file using instrument
specific formatting
Returns
-------
hlines : (int)
Number of header lines
ocb_cols : (str)
String containing the names for each data column
datetime_fmt : (str)
String containing the datetime format
Notes
-----
Updates the min_fom attribute for AMPERE and DMSP-SSJ
"""
if self.instrument == "image":
hlines = 0
ocb_cols = "year soy num_sectors phi_cent r_cent r a r_err"
datetime_fmt = ""
elif self.instrument == "ampere":
hlines = 0
ocb_cols = "date time r x y fom"
datetime_fmt = "%Y%m%d %H:%M"
self.min_fom = 0.15 # From Milan et al. (2015)
elif self.instrument == "dmsp-ssj":
hlines = 1
ocb_cols = "sc date time r x y fom x_1 y_1 x_2 y_2"
datetime_fmt = "%Y-%m-%d %H:%M:%S"
self.min_fom = 3.0 # From Burrell et al. (2019)
else:
hlines = 0
ocb_cols = ""
datetime_fmt = ""
return hlines, ocb_cols, datetime_fmt
[docs] def load(self, hlines=0,
ocb_cols="year soy num_sectors phi_cent r_cent r a r_err",
datetime_fmt="", stime=None, etime=None):
"""Load the data from the specified Open-Closed Boundary file
Parameters
----------
ocb_cols : (str)
String specifying format of OCB file. All but the first two
columns must be included in the string, additional data values will
be ignored. If 'year soy' aren't used, expects
'date time' in 'YYYY-MM-DD HH:MM:SS' format.
(default='year soy num_sectors phi_cent r_cent r a r_err')
hlines : (int)
Number of header lines preceeding data in the OCB file (default=0)
datetime_fmt : (str)
A string used to read in 'date time' data. Not used if 'year soy'
is specified. (default='')
stime : (datetime or NoneType)
Time to start loading data or None to start at beginning of file.
(default=None)
etime : (datetime or NoneType)
Time to stop loading data or None to end at the end of the file.
(default=None)
"""
cols = ocb_cols.split()
dflag = -1
ldtype = [(k, float) if k != "num_sectors" else (k, int) for k in cols]
if "soy" in cols and "year" in cols:
dflag = 0
ldtype[cols.index('year')] = ('year', int)
elif "date" in cols and "time" in cols:
dflag = 1
ldtype[cols.index('date')] = ('date', '|U50')
ldtype[cols.index('time')] = ('time', '|U50')
if dflag < 0:
estr = "missing time columns in [{:s}]".format(ocb_cols)
ocbpy.logger.error(estr)
return
# Read the OCB data
odata = np.rec.array(np.genfromtxt(self.filename, skip_header=hlines,
dtype=ldtype))
oname = list(odata.dtype.names)
# Load the data into the OCBoundary object
#
# Start by getting the time and location in the desired format
self.rec_ind = -1
dt_list = list()
if stime is None and etime is None:
itime = np.arange(0, odata.shape[0], 1)
else:
itime = list()
for i in range(odata.shape[0]):
year = odata.year[i] if dflag == 0 else None
soy = odata.soy[i] if dflag == 0 else None
date = None if dflag == 0 else odata.date[i]
tod = None if dflag == 0 else odata.time[i]
dtime = ocb_time.convert_time(year=year, soy=soy, date=date,
tod=tod, datetime_fmt=datetime_fmt)
if stime is None and etime is None:
dt_list.append(dtime)
elif((stime is None or stime <= dtime) and
(etime is None or etime >= dtime)):
dt_list.append(dtime)
itime.append(i)
if hasattr(odata, 'x') and hasattr(odata, 'y'):
# Location is given by x-y coordinates where the origin lies
# on the magnetic pole, the x-axis follows the dusk-dawn
# meridian (positive towards dawn), and the y-axis follows the
# midnight-noon meridian (positive towards noon)
# Calculate the polar coordinates from the x-y coordinates
odata.r_cent = np.sqrt(odata.x**2 + odata.y**2)
oname.append("r_cent")
# phi_cent is zero at magnetic midnight rather than dawn, so we
# need to add 90.0 degrees from the arctangent. Then convert all
# degrees to their positive angles.
odata.phi_cent = np.degrees(np.arctan2(odata.y, odata.x)) + 90.0
odata.phi_cent[odata.phi_cent < 0.0] += 360.0
oname.append("phi_cent")
# Load the required information not contained in odata
self.records = len(dt_list)
self.dtime = np.array(dt_list)
# Set the boundary function
if self.rfunc is None:
self._set_default_rfunc()
elif isinstance(self.rfunc, types.FunctionType):
self.rfunc = np.full(shape=self.records, fill_value=self.rfunc)
elif hasattr(self.rfunc, "shape"):
if self.rfunc.shape != self.dtime.shape:
raise ValueError("Misshaped correction function array")
else:
raise ValueError("Unknown input type for correction function")
# Set the boundary function keyword inputs
if self.rfunc_kwargs is None:
self.rfunc_kwargs = np.full(shape=self.records, fill_value={})
elif isinstance(self.rfunc_kwargs, dict):
self.rfunc_kwargs = np.full(shape=self.records,
fill_value=self.rfunc_kwargs)
elif hasattr(self.rfunc_kwargs, "shape"):
if self.rfunc_kwargs.shape != self.dtime.shape:
raise ValueError("Misshaped correction function keyword array")
else:
raise ValueError("Unknown input type for correction keywords")
# Load the attributes saved in odata
for nn in oname:
setattr(self, nn, getattr(odata, nn)[itime])
return
[docs] def get_next_good_ocb_ind(self, min_sectors=7, rcent_dev=8.0, max_r=23.0,
min_r=10.0):
"""read in the next usuable OCB record from the data file. Only uses
the available parameters.
Parameters
----------
min_sectors : (int)
Minimum number of MLT sectors required for good OCB. (default=7)
rcent_dev : (float)
Maximum number of degrees between the new centre and the AACGM pole
(default=8.0)
max_r : (float)
Maximum radius for open-closed field line boundary in degrees.
(default=23.0)
min_r : (float)
Minimum radius for open-closed field line boundary in degrees
(default=10.0)
Notes
-----
Updates self.rec_ind to the index of next good OCB record or a value
greater than self.records if there aren't any more good records
available after the starting point
Comments
--------
IMAGE FUV checks:
- more than 6 MLT boundary values have contributed to OCB circle
- that the OCB 'pole' is with 8 degrees of the AACGM pole
- that the OCB 'radius' is greater than 10 and less than 23 degrees
AMPERE/DMSP-SSJ checks:
- that the Figure of Merit is greater than or equal to the specified
minimum
"""
# Incriment forward from previous boundary
self.rec_ind += 1
while self.rec_ind < self.records:
# Evaluate the current boundary for quality, using optional
# parameters
good = True
if(hasattr(self, "num_sectors") and
self.num_sectors[self.rec_ind] < min_sectors):
good = False
elif(hasattr(self, "fom")
and self.fom[self.rec_ind] < self.min_fom):
good = False
# Evaluate the current boundary for quality, using non-optional
# parameters
if(good and self.r_cent[self.rec_ind] <= rcent_dev
and self.r[self.rec_ind] >= min_r
and self.r[self.rec_ind] <= max_r):
return
# Cycle to next boundary
self.rec_ind += 1
return
[docs] def normal_coord(self, lat, lt, coords='magnetic', height=350.0,
method='ALLOWTRACE'):
"""converts position(s) to normalised co-ordinates relative to the OCB
Parameters
----------
lat : (float or array-like)
Input latitude (degrees), must be geographic, geodetic, or AACGMV2
lt : (float or array-like)
Input local time (hours), must be solar or AACGMV2 magnetic
coords : (str)
Input coordiate system. Accepts 'magnetic', 'geocentric', or
'geodetic' (default='magnetic')
height : (float or array-like)
Height (km) at which AACGMV2 coordinates will be calculated, if
geographic coordinates are provided (default=350.0)
method : (str)
String denoting which type(s) of conversion to perform, if
geographic coordinates are provided. Expects either 'TRACE' or
'ALLOWTRACE'. See AACGMV2 for details. (default='ALLOWTRACE')
Returns
-------
ocb_lat : (float or array-like)
Magnetic latitude relative to OCB (degrees)
ocb_mlt : (float or array-like)
Magnetic local time relative to OCB (hours)
r_corr : (float or array-like)
Radius correction to OCB (degrees)
Comments
--------
Approximation - Conversion assumes a planar surface
"""
# Cast input as arrays
lat = np.asarray(lat)
lt = np.asarray(lt)
height = np.asarray(height)
# Initialize output
out_shape = max([lat.shape, lt.shape, height.shape])
ocb_lat = np.full(shape=out_shape, fill_value=np.nan)
ocb_mlt = np.full(shape=out_shape, fill_value=np.nan)
r_corr = np.full(shape=out_shape, fill_value=np.nan)
# Test the OCB record index
if self.rec_ind < 0 or self.rec_ind >= self.records:
return ocb_lat, ocb_mlt, r_corr
# If needed, convert from geographic to magnetic coordinates
if coords.lower().find('mag') < 0:
# Convert from lt to longitude
lon = ocb_time.slt2glon(lt, self.dtime[self.rec_ind])
# If geocentric coordinates are specified, add this info to the
# method flag
if coords.lower() == 'geocentric':
method = "|".join([method, coords.upper()])
aacgm_lat, _, aacgm_mlt = aacgmv2.get_aacgm_coord_arr(
lat, lon, height, self.dtime[self.rec_ind], method)
else:
aacgm_lat = lat
aacgm_mlt = lt
# Ensure the correct hemisphere is loaded for this data
if np.any(np.sign(aacgm_lat) != self.hemisphere):
if np.all(np.sign(aacgm_lat) != self.hemisphere):
return ocb_lat, ocb_mlt, r_corr
aacgm_lat[np.sign(aacgm_lat) != self.hemisphere] = np.nan
# Calculate the center of the OCB
phi_cent_rad = np.radians(self.phi_cent[self.rec_ind])
xc = self.r_cent[self.rec_ind] * np.cos(phi_cent_rad)
yc = self.r_cent[self.rec_ind] * np.sin(phi_cent_rad)
# Calculate the desired point location relative to the AACGM pole
scalep = 90.0 - self.hemisphere * aacgm_lat
xp = scalep * np.cos(np.radians(aacgm_mlt * 15.0))
yp = scalep * np.sin(np.radians(aacgm_mlt * 15.0))
# Get the distance between the OCB pole and the point location. This
# distance is then scaled by r, the OCB radius. For non-circular
# boundaries, r is a function of MLT
r_corr = self.rfunc[self.rec_ind](aacgm_mlt,
**self.rfunc_kwargs[self.rec_ind])
scalen = (90.0 - abs(self.boundary_lat)) / (self.r[self.rec_ind]
+ r_corr)
xn = (xp - xc) * scalen
yn = (yp - yc) * scalen
ocb_lat = self.hemisphere * (90.0 - np.sqrt(xn**2 + yn**2))
ocb_mlt = ocb_time.deg2hr(np.degrees(np.arctan2(yn, xn)))
ocb_mlt = ocb_time.fix_range(ocb_mlt, 0.0, 24.0)
return ocb_lat, ocb_mlt, r_corr
[docs] def revert_coord(self, ocb_lat, ocb_mlt, r_corr=0.0, coords='magnetic',
height=350.0, method='ALLOWTRACE'):
"""Converts the position of a measurement in normalised co-ordinates
relative to the OCB into AACGM co-ordinates
Parameters
----------
ocb_lat : (float or array-like)
Input OCB latitude in degrees
ocb_mlt : (float or array-like)
Input OCB local time in hours
r_corr : (float or array-like)
Input OCB radial correction in degrees, may be a function of
AACGM MLT (default=0.0)
coords : (str)
Output coordiate system. Accepts 'magnetic', 'geocentric', or
'geodetic' (default='magnetic')
height : (float or array-like)
Geocentric height above sea level (km) at which AACGMV2 coordinates
will be calculated, if geographic coordinates are desired
(default=350.0)
method : (str)
String denoting which type(s) of conversion to perform, if
geographic coordinates are provided. Expects either 'TRACE' or
'ALLOWTRACE'. See AACGMV2 for details. (default='ALLOWTRACE')
Returns
-------
lat : (float or array-like)
latitude (degrees)
lt : (float or array-like)
local time (hours)
Comments
--------
Approximation - Conversion assumes a planar surface
"""
# Cast input as arrays
ocb_lat = np.asarray(ocb_lat)
ocb_mlt = np.asarray(ocb_mlt)
r_corr = np.asarray(r_corr)
height = np.asarray(height)
# Initialize output
out_shape = max([ocb_lat.shape, ocb_mlt.shape, r_corr.shape,
height.shape])
lat = np.full(shape=out_shape, fill_value=np.nan)
lt = np.full(shape=out_shape, fill_value=np.nan)
# Test the OCB index and hemisphere
if self.rec_ind < 0 or self.rec_ind >= self.records:
return lat, lt
if np.all(np.sign(ocb_lat) != self.hemisphere):
return lat, lt
# Perform the coordinate transformation
phi_cent_rad = np.radians(self.phi_cent[self.rec_ind])
xc = self.r_cent[self.rec_ind] * np.cos(phi_cent_rad)
yc = self.r_cent[self.rec_ind] * np.sin(phi_cent_rad)
rn = 90.0 - self.hemisphere * ocb_lat
thetan = ocb_mlt * np.pi / 12.0
xn = rn * np.cos(thetan)
yn = rn * np.sin(thetan)
scale_ocb = (self.r[self.rec_ind]
+ r_corr) / (90.0 - self.hemisphere * self.boundary_lat)
xp = xn * scale_ocb + xc
yp = yn * scale_ocb + yc
aacgm_lat = self.hemisphere * (90.0 - np.sqrt(xp**2 + yp**2))
aacgm_mlt = ocb_time.deg2hr(np.degrees(np.arctan2(yp, xp)))
aacgm_mlt = ocb_time.fix_range(aacgm_mlt, 0.0, 24.0)
# If needed, convert from magnetic to geographic coordinates
if coords.lower().find('mag') < 0:
# Convert from mlt to longitude
lon = aacgmv2.convert_mlt(aacgm_mlt, self.dtime[self.rec_ind],
m2a=True)
# If geocentric coordinates are specified, add this info to the
# method flag
if coords.lower() == 'geocentric':
method = "|".join([method, coords.upper()])
method = "|".join([method, "A2G"])
lat, lon, _ = aacgmv2.convert_latlon_arr(aacgm_lat, lon, height,
self.dtime[self.rec_ind],
method)
# Convert from longitude to solar local time
lt = ocb_time.glon2slt(lon, self.dtime[self.rec_ind])
else:
lat = aacgm_lat
lt = aacgm_mlt
return lat, lt
[docs] def get_aacgm_boundary_lat(self, aacgm_mlt, rec_ind=None,
overwrite=False, set_lon=True):
"""Get the OCB latitude in AACGM coordinates at specified longitudes
Parameters
----------
aacgm_mlt : (int, float, or array-like)
AACGM longitude location(s) (in degrees) for which the OCB latitude
will be calculated.
rec_ind : (int, array-like, or NoneType)
Record index for which the OCB AACGM latitude will be calculated,
or None to calculate all boundary locations (default=None).
overwrite : (boolean)
Overwrite previous boundary locations if this time already has
calculated boundary latitudes for a different set of input
longitudes (default=False).
set_lon : (boolean)
Calculate the AACGM longitude of the OCB alongside the MLT
(default=True).
Notes
-----
Updates OCBoundary object with list attributes. If no boundary value
is calculated at a certain time, the list is padded with None. If
a boundary latitude cannot be calculated at that time and longitude,
that time and longitude is filled with NaN.
`aacgm_boundary_lat` contains the AACGM latitude location(s) of the OCB
(in degrees) for each requested time.
`aacgm_boundary_mlt` holds the aacgm_mlt input for each requested
time. The requested MLT may differ from time to time, to allow
easy comparison with satellite passes.
`aacgm_boundary_lon` holds the aacgm_lon input for each requested
time. This is calculated from `aacgm_boundary_mlt` by default.
"""
# Ensure the boundary longitudes span from 0-360 degrees
aacgm_mlt = np.asarray(aacgm_mlt)
aacgm_mlt[aacgm_mlt < 0.0] += 24.0
aacgm_mlt[aacgm_mlt >= 24.0] -= 24.0
if not hasattr(self, 'aacgm_boundary_mlt'):
self.aacgm_boundary_mlt = [None for i in range(self.records)]
if not hasattr(self, 'aacgm_boundary_lat'):
self.aacgm_boundary_lat = [None for i in range(self.records)]
if set_lon and not hasattr(self, 'aacgm_boundary_lon'):
self.aacgm_boundary_lon = [None for i in range(self.records)]
# Get the indices to calculate the boundary latitudes
if rec_ind is None:
# Create array of all indices
rinds = np.arange(0, self.records, 1)
else:
# Create array of indices as integers
rinds = np.asarray(rec_ind).astype('int')
# Ensure single values are stored as an interable object
if len(rinds.shape) == 0:
rinds = rinds.reshape(1,)
# Calculate the boundary location for each requested time
for i in rinds:
# If data exists here and the overwrite option is off, skip
if self.aacgm_boundary_lat[i] is None or overwrite:
# Calculate the difference between the output MLT and the
# MLT of the centre of the polar cap, which is give in degrees
del_mlt = ocb_time.hr2rad(aacgm_mlt
- ocb_time.deg2hr(self.phi_cent[i]))
# Calculate the radius of the OCB in degrees
r_corr = self.rfunc[i](aacgm_mlt, **self.rfunc_kwargs[i])
scale_r = self.r[i] + r_corr
rad = self.r_cent[i] * np.cos(del_mlt) \
+ np.sqrt(scale_r**2 - (self.r_cent[i]
* np.sin(del_mlt))**2)
# If the radius is negative, set to NaN
if len(rad.shape) > 0:
rad[rad < 0.0] = np.nan
else:
rad = np.nan if rad < 0.0 else float(rad)
# Calculate the latitude of the OCB in AACGM coordinates
self.aacgm_boundary_lat[i] = self.hemisphere * (90.0 - rad)
# Save the MLT at this time
self.aacgm_boundary_mlt[i] = aacgm_mlt
# Set the longitude at this time
if set_lon:
self.aacgm_boundary_lon[i] = np.asarray(
aacgmv2.convert_mlt(aacgm_mlt, self.dtime[i],
m2a=True))
else:
estr = "".join(["unable to update AACGM boundary latitude at ",
"{:}, overwrite ".format(self.dtime[i]),
"blocked"])
ocbpy.logger.warning(estr)
return
def _set_default_rfunc(self):
"""Set the default instrument OCB boundary function
Notes
-----
Assign a function for each time in case we have a data set with a
correction that changes with UT
"""
if self.instrument in ["image", "dmsp-ssj"]:
self.rfunc = np.full(shape=self.records,
fill_value=ocbcor.circular)
elif self.instrument == "ampere":
self.rfunc = np.full(shape=self.records,
fill_value=ocbcor.elliptical)
else:
raise ValueError("unknown instrument")
return
[docs]def retrieve_all_good_indices(ocb):
"""Retrieve all good indices from the ocb structure
Parameters
----------
ocb : (OCBoundary)
Class containing the open-close field line boundary data
Returns
-------
good_ind : (list)
List of indices containing good OCBs
"""
# Save the current record index
icurrent = ocb.rec_ind
# Set the record index to allow us to cycle through the entire data set
ocb.rec_ind = -1
# Initialize the output data
good_ind = list()
# Cycle through all records
while ocb.rec_ind < ocb.records:
ocb.get_next_good_ocb_ind()
if ocb.rec_ind < ocb.records:
good_ind.append(int(ocb.rec_ind))
# Reset the record index
ocb.rec_ind = icurrent
# Return the good indices
return good_ind
[docs]def match_data_ocb(ocb, dat_dtime, idat=0, max_tol=600, min_sectors=7,
rcent_dev=8.0, max_r=23.0, min_r=10.0):
"""Matches data records with OCB records, locating the closest values
within a specified tolerance
Parameters
----------
ocb : (OCBoundary)
Class containing the open-close field line boundary data
dat_dtime : (list or numpy array of datetime objects)
Times where data exists
idat : (int)
Current data index (default=0)
max_tol : (int)
maximum seconds between OCB and data record in sec (default=600)
min_sectors : (int)
Minimum number of MLT sectors required for good OCB. (default=7)
rcent_dev : (float)
Maximum number of degrees between the new centre and the AACGM pole
(default=8.0)
max_r : (float)
Maximum radius for open-closed field line boundary in degrees
(default=23.0)
min_r : (float)
Minimum radius for open-closed field line boundary in degrees
(default=10.0)
Returns
-------
idat : (int or NoneType)
Data index for match value, None if all of the data have been searched
Notes
-----
Updates OCBoundary.rec_ind for matched value. None if all of the
boundaries have been searched.
"""
dat_records = len(dat_dtime)
# Ensure that the indices are good
if idat >= dat_records:
return idat
if ocb.rec_ind >= ocb.records:
return idat
# Get the first reliable circle boundary estimate if none was provided
if ocb.rec_ind < 0:
ocb.get_next_good_ocb_ind(min_sectors=min_sectors, rcent_dev=rcent_dev,
max_r=max_r, min_r=min_r)
if ocb.rec_ind >= ocb.records:
estr = "".join(["unable to find a good OCB record in ",
ocb.filename])
ocbpy.logger.error(estr)
return idat
else:
estr = "".join(["found first good OCB record at ",
"{:}".format(ocb.dtime[ocb.rec_ind])])
ocbpy.logger.info(estr)
# Cycle past data occuring before the specified OC boundary point
first_ocb = ocb.dtime[ocb.rec_ind] - dt.timedelta(seconds=max_tol)
while dat_dtime[idat] < first_ocb:
idat += 1
if idat >= dat_records:
ocbpy.logger.error("".join(["no input data close enough ",
"to first record"]))
return None
# If the times match, return
if ocb.dtime[ocb.rec_ind] == dat_dtime[idat]:
return idat
# If the times don't match, cycle through both datasets until they do
while idat < dat_records and ocb.rec_ind < ocb.records:
# Increase the OCB index until one lies within the desired boundary
sdiff = (ocb.dtime[ocb.rec_ind] - dat_dtime[idat]).total_seconds()
if sdiff < -max_tol:
# Cycle to the next OCB value since the lowest vorticity value
# is in the future
ocb.get_next_good_ocb_ind(min_sectors=min_sectors,
rcent_dev=rcent_dev, max_r=max_r,
min_r=min_r)
elif sdiff > max_tol:
# Cycle to the next value if no OCB values were close enough
estr = "".join(["no OCB data available within ",
"[{:d} s] of input measurement at".format(max_tol),
" [{:}]".format(dat_dtime[idat])])
ocbpy.logger.info(estr)
idat += 1
else:
# Make sure this is the OCB value closest to the input record
last_sdiff = sdiff
last_iocb = ocb.rec_ind
ocb.get_next_good_ocb_ind(min_sectors=min_sectors,
rcent_dev=rcent_dev, max_r=max_r,
min_r=min_r)
if ocb.rec_ind < ocb.records:
sdiff = (ocb.dtime[ocb.rec_ind] -
dat_dtime[idat]).total_seconds()
while abs(sdiff) < abs(last_sdiff):
last_sdiff = sdiff
last_iocb = ocb.rec_ind
ocb.get_next_good_ocb_ind(min_sectors=min_sectors,
rcent_dev=rcent_dev, max_r=max_r,
min_r=min_r)
if ocb.rec_ind < ocb.records:
sdiff = (ocb.dtime[ocb.rec_ind] -
dat_dtime[idat]).total_seconds()
sdiff = last_sdiff
ocb.rec_ind = last_iocb
# Return the requested indices
return idat
# Return from the last loop
if idat == 0 and abs(sdiff) > max_tol:
estr = "".join(["no OCB data available within ",
"[{:d} s] of first measurement ".format(max_tol),
"[{:}]".format(dat_dtime[idat])])
ocbpy.logger.info(estr)
return idat