4.5 Article

Version 1.1.0-pyfao56: FAO-56 evapotranspiration in Python

Journal

SOFTWAREX
Volume 22, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.softx.2023.101336

Keywords

Crop coefficient; Evapotranspiration; Irrigation; Precision agriculture; Soil; Water management

Ask authors/readers for more resources

The pyfao56 software package is a Python-based implementation of the FAO-56 standardized evapotranspiration (ET) methodologies. This update improves pyfao56 by fixing a major bug, expanding reference ET calculation options, adding functionality for specifying variable soil characteristics, including optional water balance enhancements, and enabling the use of constant or variable depletion fraction (p). The updates increase software versatility while maintaining core functionality.
The pyfao56 software package is a Python-based implementation of the standardized evapotranspira-tion (ET) methodologies described in Irrigation and Drainage paper No. 56 of the Food and Agriculture Organization of the United Nations, commonly known as FAO-56. This update improved pyfao56 by (1) fixing a major bug related to testing for availability of weather data, (2) expanding options for reference ET calculations including hourly estimates, (3) adding functionality to specify variable soil characteristics with profile depth, (4) including optional water balance enhancements that consider soil water depletion for both the dynamic and maximum root zones, and (5) enabling the use of either constant or variable depletion fraction (p). The updates increase software versatility and expand options for use, while also maintaining the core functionality of the original software design. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available