Skip to main content

Instantaneous/Daily Evapotranspiration Upscaling Utilities Python Package

Project description

Usage

This package provides a set of functions for upscaling instantaneous or daily energy balance and meteorological data to daily evapotranspiration (ET) estimates. Below is a summary of each function and its usage:

CI

The daily-evapotranspiration-upscaling Python package provides utilities for upscaling energy balance and meteorological data to daily ET, supporting raster, numpy array, and scalar inputs. It is designed for remote sensing, land surface modeling, and geospatial analysis.

Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G

Installation

This package is available on PyPI as daily-evapotranspiration-upscaling (with dashes):

pip install daily-evapotranspiration-upscaling

Usage

Import this package as daily_evapotranspiration_upscaling (with underscores):

import daily_evapotranspiration_upscaling

1. celcius_to_kelvin(T_C)

  • Description: Convert Celsius to Kelvin.
  • Parameters: T_C (float, array, or raster): Temperature in Celsius.
  • Returns: Temperature in Kelvin.

2. lambda_Jkg_from_Ta_K(Ta_K)

  • Description: Calculate latent heat of vaporization from air temperature (Kelvin).
  • Parameters: Ta_K (float, array, or raster): Air temperature in Kelvin.
  • Returns: Latent heat of vaporization (J/kg).

3. lambda_Jkg_from_Ta_C(Ta_C)

  • Description: Calculate latent heat of vaporization from air temperature (Celsius).
  • Parameters: Ta_C (float, array, or raster): Air temperature in Celsius.
  • Returns: Latent heat of vaporization (J/kg).

4. calculate_evaporative_fraction(LE, Rn, G)

  • Description: Compute evaporative fraction from latent heat flux, net radiation, and soil heat flux.
  • Parameters:
    • LE (float, array, or raster): Latent heat flux (W/m²)
    • Rn (float, array, or raster): Net radiation (W/m²)
    • G (float, array, or raster): Soil heat flux (W/m²)
  • Returns: Evaporative fraction (unitless).

5. daily_ET_from_daily_LE(LE_daylight, ...)

  • Description: Estimate daily ET from daily latent heat flux (LE) and supporting parameters.
  • Parameters: See function docstring for details.
  • Returns: Daily evapotranspiration (mm/day).

6. daily_ET_from_instantaneous(LE_instantaneous, Rn_instantaneous, G_instantaneous, DOY, lat, hour_of_day, ...)

  • Description: Estimate daily ET from instantaneous measurements of latent heat flux, net radiation, and soil heat flux.
  • Parameters:
    • LE_instantaneous (float, array, or raster): Instantaneous latent heat flux (W/m²)
    • Rn_instantaneous (float, array, or raster): Instantaneous net radiation (W/m²)
    • G_instantaneous (float, array, or raster): Instantaneous soil heat flux (W/m²)
    • DOY (int): Day of year
    • lat (float): Latitude in degrees
    • hour_of_day (float): Local solar time (hours)
  • Returns: Daily evapotranspiration (mm/day).

References

  • Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).
  • Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A., Holtslag, A.A.M., 1998. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation. Journal of hydrology, 212, 198-212.
  • Duffie, J. A., & Beckman, W. A. (2013). Solar Engineering of Thermal Processes (4th ed.). Wiley.

License

See LICENSE for details.

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

daily_evapotranspiration_upscaling-1.0.6.tar.gz (11.7 kB view details)

Uploaded Source

Built Distribution

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

File details

Details for the file daily_evapotranspiration_upscaling-1.0.6.tar.gz.

File metadata

File hashes

Hashes for daily_evapotranspiration_upscaling-1.0.6.tar.gz
Algorithm Hash digest
SHA256 1da5db2fc88e9bdd1549ed9cfef02e25e59d81ab42d9a06b536c92fb34531a7f
MD5 ce3282e0d701718d2859c3621ede7ed5
BLAKE2b-256 f4def153342b09277e6f1b032aed7148a2ef775a43d075f3b4dcf520e1532597

See more details on using hashes here.

File details

Details for the file daily_evapotranspiration_upscaling-1.0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for daily_evapotranspiration_upscaling-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 f6c6fc957b2ce4ca8ef86a1ab7067c4aa9b767b512bcea67428b7a24924f440a
MD5 330865c1c3edaa526f12ae0a784aa0bc
BLAKE2b-256 80fdf17941ab25193bc78539a8c2fe67bd06d399a07094e18f62ca04c87362bf

See more details on using hashes here.

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