Skip to main content

NCAR GLOW model for 2D observation geometry

Project description

GLOW2D

This package builds off of the GLobal airglOW model. The GLOW model is evaluated on an altitude grid at a location. For non-zenith observation geometries, the model requires evaluation at multiple points along the line of sight. The glow2d library wraps the ncarglow.no_precipitation() function to generate the output on a 2D grid in a geocentric (GEO) coordinate system and in a local (ZA, R) coordinate system.

Installation

Directly using pip:

$ pip install glow2d

Indirectly by git clone:

$ git clone https://github.com/sunipkm/glow2d && cd glow2d
$ pip install .

Dependencies

The following non-trivial dependencies are present:

This code uses glowpython package to run the GLOW model. geomagdata is used to get the $F_{10.7}$ and $A_p$ indices from the new data source.

Usage

For example:

from datetime import datetime
from glow2d import glow2d_polar as grc

time = datetime(2022, 2, 15, 20, 0, 0).astimezone('UTC') # 20:00 hours local in UTC
lat, lon = 42.64981361744372, -71.31681056737486 # location of observation
bearing = 40 # 40 deg northeast, refer to geopy.GreatCircleDistance().destination() for more info.

iono_loc, iono_geo = grc.polar_model(time, lat, lon, bearing, full_output=True) # generate output in local and GEO coordinates

The iono_loc dataset is:

<xarray.Dataset>
Dimensions:     (za: 200, r: 500, wavelength: 15, energy: 100)
Coordinates:
  * za          (za) float64 1.571 1.563 1.555 1.547 ... 0.01579 0.007893 0.0
  * r           (r) float64 0.0 7.391 14.78 ... 3.673e+03 3.681e+03 3.688e+03
  * wavelength  (wavelength) <U21 '3371' '4278' '5200' ... '1356' '1493' '1304'
  * energy      (energy) float64 0.2 0.8 1.2 1.8 2.2 ... 457.3 480.7 505.4 531.3
Data variables: (12/18)
    Tn          (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    O           (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    N2          (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    O2          (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    NO          (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    NeIn        (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    ...          ...
    pedersen    (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    hall        (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    Te          (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    Ti          (za, r) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
    ver         (za, r, wavelength) float64 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0
    precip      (r, energy) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
Attributes:
    geomag_params:                       Ap     Kp   f107 resolution       f1...
    time:           2022-02-15T11:00:00+00:00
    glatlon:        (42.64981361744372, -71.31681056737486)

The iono_geo dataset is:

<xarray.Dataset>
Dimensions:         (angle: 100, alt_km: 250, wavelength: 15, state: 12,
                     energy: 100)
Coordinates:
  * alt_km          (alt_km) float64 60.0 60.6 61.2 61.8 ... 953.4 957.9 962.4
  * wavelength      (wavelength) <U21 '3371' '4278' '5200' ... '1493' '1304'
  * state           (state) <U6 'O+(2P)' 'O+(2D)' 'O+(4S)' ... 'O(1S)' 'O(1D)'
  * energy          (energy) float64 0.2 0.8 1.2 1.8 ... 457.3 480.7 505.4 531.3
  * angle           (angle) float64 0.0 0.005323 0.01065 ... 0.5163 0.5217 0.527
    lat             (angle) float64 42.65 42.88 43.12 ... 60.15 60.25 60.34
    lon             (angle) float64 -71.32 -71.05 -70.78 ... -31.7 -31.12 -30.53
Data variables: (12/21)
    Tn              (angle, alt_km) float64 237.0 236.0 235.0 ... 815.0 815.0
    O               (angle, alt_km) float64 0.0 0.0 0.0 ... 1.2e+03 1.11e+03
    N2              (angle, alt_km) float64 4.49e+15 4.17e+15 ... 0.0102 0.00893
    O2              (angle, alt_km) float64 1.2e+15 1.12e+15 ... 1.9e-05
    NO              (angle, alt_km) float64 7.81e+07 7.81e+07 ... 5.92e-08
    NeIn            (angle, alt_km) float64 100.0 100.0 ... 2.35e+04 2.34e+04
    ...              ...
    Ti              (angle, alt_km) float64 236.9 235.9 ... 2.715e+03 2.726e+03
    ver             (angle, alt_km, wavelength) float64 0.0 0.0 0.0 ... 0.0 0.0
    production      (angle, alt_km, state) float64 0.0 nan nan ... 0.0 0.0 0.0
    loss            (angle, alt_km, state) float64 nan nan nan ... 0.0 1.1 0.01
    precip          (angle, energy) float64 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0
    excitedDensity  (angle, alt_km, state) float64 nan nan nan ... 0.0 0.0 0.01
...
Attributes:
    geomag_params:                       Ap     Kp   f107 resolution       f1...
    time:           2022-02-15T11:00:00+00:00
    glatlon:        (42.64981361744372, -71.31681056737486)

All angles are in radians, and distances in km. Due to the nature of the coordinate transformation, local coordinate outputs do not contain any NaN values.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

glow2d-3.1.0.tar.gz (23.7 kB view details)

Uploaded Source

Built Distribution

glow2d-3.1.0-py3-none-any.whl (17.1 kB view details)

Uploaded Python 3

File details

Details for the file glow2d-3.1.0.tar.gz.

File metadata

  • Download URL: glow2d-3.1.0.tar.gz
  • Upload date:
  • Size: 23.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for glow2d-3.1.0.tar.gz
Algorithm Hash digest
SHA256 48925c08a8e9cfe0af55986ee9df8bd675d5193ec8b8e4d76eec025f731a04e5
MD5 dadf22d0b884100f9553e1e9170a8e69
BLAKE2b-256 2bca10a383455d010011f5abc9c92a76de56a63ffb66252331eb6e452c290316

See more details on using hashes here.

File details

Details for the file glow2d-3.1.0-py3-none-any.whl.

File metadata

  • Download URL: glow2d-3.1.0-py3-none-any.whl
  • Upload date:
  • Size: 17.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for glow2d-3.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d940ed3dff1b57fafbb3fc89821d91591605548e0a3735e9b51db1c66bf7dccd
MD5 05f206e847fb80007e2820cb2d8fec2e
BLAKE2b-256 c0f8a38352e04517ff47af15ce52815bf4a52dcbb85b8684518df881fca398e2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page