Skip to main content

Python library for atmospheric thermodynamic calculations

Project description

 atmoslib

Run tests

Python library for atmospheric thermodynamics and microwave attenuation calculations. This library is used in CloudnetPy and related projects with focus on good performance and minimal dependencies.

Installation

pip install atmoslib

Usage

import numpy as np
import atmoslib

t = np.array([293.15, 283.15, 273.15])     # temperature (K)
p = np.array([101325.0, 95000.0, 90000.0]) # pressure (Pa)
q = np.array([0.010, 0.005, 0.001])        # specific humidity (kg/kg)

tw = atmoslib.wet_bulb_temperature(t, p, q)

All inputs accept scalars or NumPy arrays of any shape (broadcasting follows NumPy rules).

Available functions

Function Description
wet_bulb_temperature(t, p, q) Wet-bulb temperature (K)
vapor_pressure(p, q) Vapor pressure of water (Pa)
saturation_vapor_pressure(t) Saturation vapor pressure (Pa, Goff-Gratch, liquid/ice/mixed)
relative_humidity(t, p, q) Relative humidity (1, liquid/ice/mixed)
specific_humidity(t, p, rh) Specific humidity (kg/kg, liquid/ice/mixed)
absolute_humidity(t, vp) Absolute humidity (kg/m³)
dew_point_temperature(t, rh) Dew-point temperature (K, Magnus)
mixing_ratio(vp, p) Mixing ratio (kg/kg)
latent_heat_of_vaporization(t) Temperature-dependent latent heat of vaporization (J/kg)
virtual_temperature(t, q) Virtual temperature (K)
potential_temperature(t, p) Potential temperature (K)
equivalent_potential_temperature(t, p, q) Equivalent potential temperature (K, Bolton 1980)
air_density(t, p, mr) Moist-air density (kg/m³)
adiabatic_lwc_gradient(t, p) Adiabatic vertical gradient of LWC at cloud base (kg/m³/m)
hydrostatic_pressure(t, q, z, p_sfc) Pressure profile from surface value via hypsometric equation (Pa)
geometric_height(gph) Geopotential height to geometric height (m, ECMWF)
isa_altitude(t, p) Altitude from pressure and temperature (gpm, ISA)
isa_pressure(gph) Pressure from geopotential height (Pa, ISA)
c2k(t) / k2c(t) Celsius ↔ Kelvin conversion
liquid_water_specific_attenuation(t, f) Cloud liquid water specific attenuation ((dB km⁻¹)/(g m⁻³), ITU-R P.840)
gas_specific_attenuation(t, p, e, f) Dry-air + water-vapor specific attenuation (dB km⁻¹, ITU-R P.676)

See the docstrings for argument details and references.

License

MIT

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

atmoslib-2.3.0.tar.gz (594.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

atmoslib-2.3.0-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file atmoslib-2.3.0.tar.gz.

File metadata

  • Download URL: atmoslib-2.3.0.tar.gz
  • Upload date:
  • Size: 594.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for atmoslib-2.3.0.tar.gz
Algorithm Hash digest
SHA256 74cbee91014ef87ec61de8f21a0d8fa352f623ba7ea6cdbffacfbc7fc927b7cb
MD5 a2b06ce80b4feee9cc1c065ccbd8f107
BLAKE2b-256 d9797e7ad4d29aa914b93a7459305e85b1747edbd38285343407e19e97784aff

See more details on using hashes here.

Provenance

The following attestation bundles were made for atmoslib-2.3.0.tar.gz:

Publisher: publish.yml on actris-cloudnet/atmoslib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file atmoslib-2.3.0-py3-none-any.whl.

File metadata

  • Download URL: atmoslib-2.3.0-py3-none-any.whl
  • Upload date:
  • Size: 12.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for atmoslib-2.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8cf326043a1076b17266730490909dd3ad705a2ebd5b4bd4cdd4dcd2d34f92b3
MD5 fdbfdcf799222f6a09580cb73492cd16
BLAKE2b-256 87702334c947e344305f61a274cca5b69c78f32c08dc4580de991cb676e337ba

See more details on using hashes here.

Provenance

The following attestation bundles were made for atmoslib-2.3.0-py3-none-any.whl:

Publisher: publish.yml on actris-cloudnet/atmoslib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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