Skip to main content

Horizontal Wind Model 1993 in Python

Project description

Build Status Coverage Status Build status PyPi version PyPi formats PyPi Download stats

HWM93 in Python

NASA Horizontal Wind Model HWM93 in Python ≥ 3.6

image

Works with many Fortran compilers, including:

  • Gfortran 5, 6, 7, 8
  • Intel ifort
  • PGI pgf90
  • Nvidia flang

Install

pip install -e .

test by

pytest -sv

Usage

HWM93 can be used from the command line or as an imported Python module in other programs. Matlab ≥ R2014b also can use HWM93.

Command line

RunHWM93 -h

Write data to NetCDF (HDF5) with -o option.

import module

import hwm93
from datetime import datetime

winds = hwm93.run(t=datetime(2017,11,12,8), altkm=150., 
                    glat=65., glon=-148., f107a=150, f107=150, ap=4)

winds is an xarray.Dataset

 <xarray.Dataset>
Dimensions:     (alt_km: 1)
Coordinates:
  * alt_km      (alt_km) float64 150.0
Data variables:
    meridional  (alt_km) float64 4.827
    zonal       (alt_km) float64 -20.5
Attributes:
    time:     2017-11-12T08:00:00
    glat:     65.0
    glon:     -148.0

If you want just a single variable, say

print(winds.zonal.values)

Matlab

You can import this Python module from Matlab ≥ R2014b as in hwm93.m

Notes

[Optional] Fortran-only use

Most users don't need this.

cd bin
cmake ..
cmake --build .
ctest -V

or

f2py -c src/hwm93_sub.f  -m hwm93 only: gws5 :

Reference

Original A. E. Hedin Fortran 77 HWM93 code

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

hwm93-0.9.1.tar.gz (23.0 kB view hashes)

Uploaded Source

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