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-1.1.0.tar.gz (12.3 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-1.1.0.tar.gz.

File metadata

File hashes

Hashes for daily_evapotranspiration_upscaling-1.1.0.tar.gz
Algorithm Hash digest
SHA256 a5796251f311690e2a68767d70505717c7d84903abed708493af6617a99ebcb1
MD5 158e8c91cccd06fc0772ab279cf3c007
BLAKE2b-256 a2f690efd884446497955abff2ade2c76831e8fb81a6faf873a8158a807cc6be

See more details on using hashes here.

File details

Details for the file daily_evapotranspiration_upscaling-1.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for daily_evapotranspiration_upscaling-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 23f4a9da28ddcf8517edd2e3991585f6984d9072be37b3323d2856df9173b596
MD5 4f2238368a58021341cbe3de14844148
BLAKE2b-256 6d3d49544b384f6ef8f61ed2a0d1aff091527521a6dd4051d1f76d2cf306f2a6

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