meteorology-conversion
The meteorology-conversion Python package provides robust utilities for meteorological and atmospheric science calculations, including temperature conversions, humidity, air density, and pressure estimations.
Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G
Installation
This package is available on PyPI as meteorology-conversion.
pip install meteorology-conversion
Usage
Import this package as meteorology_conversion:
import meteorology_conversion
1. kelvin_to_celsius(T_K)
- Description: Converts temperature from Kelvin (K) to Celsius (°C).
- Parameters:
T_K(numpy array or Raster): Temperature in Kelvin. - Returns: Temperature in Celsius.
- Reference: Wallace, J. M., & Hobbs, P. V. (2006). Atmospheric Science: An Introductory Survey (2nd ed.). Academic Press.
2. celcius_to_kelvin(T_C)
- Description: Converts temperature from Celsius (°C) to Kelvin (K).
- Parameters:
T_C(numpy array or Raster): Temperature in Celsius. - Returns: Temperature in Kelvin.
- Reference: Wallace, J. M., & Hobbs, P. V. (2006).
3. calculate_specific_humidity(Ea_Pa, Ps_Pa)
- Description: Calculates the specific humidity (kg water vapor / kg moist air) from actual vapor pressure and surface pressure.
- Parameters:
Ea_Pa(numpy array or Raster): Actual water vapor pressure in Pascal.Ps_Pa(numpy array or Raster): Surface pressure in Pascal.
- Returns: Specific humidity (kg/kg).
- References:
- Rogers, R. R., & Yau, M. K. (1989). A Short Course in Cloud Physics (3rd ed.). Pergamon Press.
- Stull, R. B. (2017). Practical Meteorology.
4. calculate_specific_heat(specific_humidity)
- Description: Calculates the specific heat capacity at constant pressure (Cp) for moist air.
- Parameters:
specific_humidity(numpy array or Raster): Specific humidity (kg/kg). - Returns: Specific heat capacity (J/kg/K).
- References:
- Wallace, J. M., & Hobbs, P. V. (2006).
- Stull, R. B. (2017).
5. calculate_air_density(surface_pressure_Pa, Ta_K, specific_humidity)
- Description: Calculates the density of moist air (kg/m³) using the ideal gas law, accounting for water vapor.
- Parameters:
surface_pressure_Pa(numpy array or Raster): Surface pressure in Pascal.Ta_K(numpy array or Raster): Air temperature in Kelvin.specific_humidity(numpy array or Raster): Specific humidity (kg/kg).
- Returns: Air density (kg/m³).
- References:
- Wallace, J. M., & Hobbs, P. V. (2006).
- Stull, R. B. (2017).
6. SVP_kPa_from_Ta_C(Ta_C)
- Description: Calculates the saturation vapor pressure (SVP) in kPa from air temperature in Celsius using the Magnus-Tetens approximation.
- Parameters:
Ta_C(numpy array or Raster): Air temperature in Celsius. - Returns: Saturation vapor pressure in kPa.
- References:
- Alduchov, O. A., & Eskridge, R. E. (1996). Improved Magnus Form Approximation of Saturation Vapor Pressure. Journal of Applied Meteorology, 35(4), 601–609.
- Bolton, D. (1980). The computation of equivalent potential temperature. Monthly Weather Review, 108(7), 1046–1053.
7. SVP_Pa_from_Ta_C(Ta_C)
- Description: Calculates the saturation vapor pressure in Pascal (Pa) from air temperature in Celsius.
- Parameters:
Ta_C(numpy array or Raster): Air temperature in Celsius. - Returns: Saturation vapor pressure in Pascal (Pa).
- Reference: Alduchov & Eskridge (1996).
8. calculate_surface_pressure(elevation_m, Ta_C)
- Description: Estimates surface pressure (Pa) at a given elevation and temperature using the barometric formula.
- Parameters:
elevation_m(numpy array or Raster): Elevation in meters.Ta_C(numpy array or Raster): Air temperature in Celsius.
- Returns: Surface pressure in Pascal (Pa).
- References:
- Wallace, J. M., & Hobbs, P. V. (2006).
- Stull, R. B. (2017).
References
- Alduchov, O. A., & Eskridge, R. E. (1996). Improved Magnus Form Approximation of Saturation Vapor Pressure. Journal of Applied Meteorology, 35(4), 601–609.
- Bolton, D. (1980). The computation of equivalent potential temperature. Monthly Weather Review, 108(7), 1046–1053.
- Rogers, R. R., & Yau, M. K. (1989). A Short Course in Cloud Physics (3rd ed.). Pergamon Press.
- Stull, R. B. (2017). Practical Meteorology: An Algebra-based Survey of Atmospheric Science. University of British Columbia.
- Wallace, J. M., & Hobbs, P. V. (2006). Atmospheric Science: An Introductory Survey (2nd ed.). Academic Press.
Metadata
Release files for meteorology-conversion 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| meteorology_conversion-1.0.3.tar.gz | 12.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| meteorology_conversion-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.3 kB
Release files / meteorology_conversion-1.0.3.tar.gz
| Download URL | meteorology_conversion-1.0.3.tar.gz |
|---|---|
| Size | 12.4 kB |
| Tags | Source |
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Release files / meteorology_conversion-1.0.3-py3-none-any.whl
| Download URL | meteorology_conversion-1.0.3-py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 3 |
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