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
Built Distribution
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 48925c08a8e9cfe0af55986ee9df8bd675d5193ec8b8e4d76eec025f731a04e5 |
|
MD5 | dadf22d0b884100f9553e1e9170a8e69 |
|
BLAKE2b-256 | 2bca10a383455d010011f5abc9c92a76de56a63ffb66252331eb6e452c290316 |
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | d940ed3dff1b57fafbb3fc89821d91591605548e0a3735e9b51db1c66bf7dccd |
|
MD5 | 05f206e847fb80007e2820cb2d8fec2e |
|
BLAKE2b-256 | c0f8a38352e04517ff47af15ce52815bf4a52dcbb85b8684518df881fca398e2 |