“Version 1.4.0 – pyfao56: FAO-56 evapotranspiration in Python”

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING SoftwareX Pub Date : 2025-03-06 DOI:10.1016/j.softx.2025.102109

Kelly R. Thorp , Dinesh Gulati , Meetpal Kukal , Reagan Ames , Tyler Pokoski , Kendall C. DeJonge

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引用次数: 0

Abstract

The pyfao56 software package is a Python-based implementation of the standardized evapotranspiration (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) updating ET variables and terminology, 2) adding ET calculations using the FAO-56 single crop coefficient approach, 3) including data on crop coefficients, growth stage lengths, and rooting depths as published in FAO-56 tables, and 4) incorporating optional crop coefficient adjustments for mid-season and late-season weather conditions when mean values for minimum relative humidity and wind speed deviate from 45 % and 2 m s^-1, respectively. Other minor edits included the addition of the Kling-Gupta efficiency as a goodness-of-fit statistic, error handling when the provided soil profile depth is shallower than the maximum rooting depth, and improved management of the model version number in the source code.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.