wxgenR: An R package for stochastic weather generation with seasonality

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-05-23 DOI:10.1016/j.softx.2025.102209

David Woodson , Subhrendu Gangopadhyay , Lindsay Bearup , Andrew Verdin , Eylon Shamir , Eve Halper , Marketa McGuire

引用次数: 0

Abstract

A stochastic weather generator was developed with the novel feature of considering seasonality of precipitation and temperature, motivated largely within the context of climate change adaptation and planning. The weather generator, wxgenR, is released as an R language package on the Comprehensive R Archive Network. wxgenR was tested using weather station data from nine locations in the continental United States with varied hydroclimatic regimes. wxgenR development was initiated by a hydroclimate analysis using areal average precipitation and temperature from the Lower Santa Cruz River Basin in Arizona, where representing monsoon moisture and changes therein is important for water supply planning. wxgenR performs well in the cross-validation with both in-sample and out-of-sample data.

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wxgenR：一个具有季节性的随机天气生成的R包

在适应和规划气候变化的背景下，开发了一种考虑降水和温度季节性的随机天气发生器。天气生成器wxgenR作为一个R语言包发布在综合R档案网络上。对wxgenR进行了测试，使用了来自美国大陆9个不同水文气候条件地点的气象站数据。wxgenR的开发是由水文气候分析发起的，该分析使用了亚利桑那州下圣克鲁斯河流域的区域平均降水和温度，其中代表季风湿度及其变化对供水规划很重要。wxgenR在样本内和样本外数据的交叉验证中都表现良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.