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-2.3.1.tar.gz (595.3 kB view details)

Uploaded Source

Built Distribution

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

atmoslib-2.3.1-py3-none-any.whl (13.0 kB view details)

Uploaded Python 3

File details

Details for the file atmoslib-2.3.1.tar.gz.

File metadata

  • Download URL: atmoslib-2.3.1.tar.gz
  • Upload date:
  • Size: 595.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for atmoslib-2.3.1.tar.gz
Algorithm Hash digest
SHA256 e914ebbce0fe0ccdc682723e55dd29a0884aee9f018c18c64848988c8aa01e7d
MD5 32dd83cdc1319f020ce7dc7d00487e81
BLAKE2b-256 5eb46a1df0f98e673539cb792bb3d8825763f156921f091c826f752f42fddf48

See more details on using hashes here.

Provenance

The following attestation bundles were made for atmoslib-2.3.1.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-2.3.1-py3-none-any.whl.

File metadata

  • Download URL: atmoslib-2.3.1-py3-none-any.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for atmoslib-2.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 241b0b8cce9b49527830c41fbde7b7f759081ef7b784ef6ad616cc72a50a6e7f
MD5 6c4058b057e9e42b3d19545de542de3e
BLAKE2b-256 e7a23dc34f4b684b16655ed21e54e076a9e4fff516ba5289027cd0a7c1b0f997

See more details on using hashes here.

Provenance

The following attestation bundles were made for atmoslib-2.3.1-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