meteorology 0.0.10

Principles

Numbers are treated in SI units (except for some documented exceptions).

Routines are tested to work with numpy.ndarray and floats as input but may work with lists or other data types as well.

Everything is tested and supposed to return correct values. Warnings are given if invalid values occur. Unphysical values are masked with NaN.

Capabilities

Currently, meteorology can only do very basic things:

• converting between degrees Celsius and Kelvin

from meteorology.temperature import cel2kel, kel2cel
cel2kel( np.array( [0,  -20.4,   30.1] ) )
# array([ 273.15,  252.75,  303.25])
kel2cel( np.array( [0, 273.15, 345.54] ) )
# array([-273.15,    0.  ,   72.39])

• converting between radians to degrees

from meteorology.wind import rad2deg, deg2rad
rad2deg(np.array([np.pi,2*np.pi,np.pi/4]))
# array([ 180.,  360.,   45. ])
deg2rad(np.array([360,45,135]))
# array([ 6.28318531,  0.78539816,  2.35619449 ])

• calculating the wind direction

from meteorology.wind import wind_vector_angle
# meteorological wind direction angle (0° = North, 90° = East, ...)
rad2deg( wind_vector_angle(u = -1, v = 0) ) # easterly wind
# 90.0
rad2deg( wind_vector_angle(u = 1, v = 1) ) # south-westerly wind
# 225.0

• calculating the saturation water vapour pressure at a given temperature

from meteorology.humidity import saturation_water_vapour_pressure as e_s
e_s( np.array( [273.15,  250.1, 320 ] ) )
# array([   611.2       ,     76.7876872 ,  10532.91207709])

• calculating the total blackbody radiation at a given temperature

from meteorology.radiation import blackbody_radiation
blackbody_radiation( np.array( [0, 273.15,  250.1, 1000 ] ) )
# array([     0.  ,    315.6574093 ,    221.85332157,  56703.67 ])

• adjusting a radiation temperature to another emissivity:

from meteorology.radiation import \
    adjust_radiation_temperature_to_other_emissivity as adjtemp
adjtemp( T=300, emissivity_old=0.9, emissivity_new=0.8, T_ambient=285 )
# 293.92070228214675

But stay tuned! More is about to come!

Install

This package is on PyPi. To install meteorology, run

pip install --user meteorology

Documentation

You can find detailed documentation of this package here on on Gitlab.

Development

The following might only be interesting for developers

# local user library under ~/.local
pip3 install --user .
# in "editable" mode
pip3 install --user -e .

# Run all tests
./setup.py test

# install coverage
pip3 install --user coveralls
# Run all tests and determine a test coverage
make coverage