Wagner Martins dos Santos , Hoi Leong Lee , Edimir Xavier Leal Ferraz , Abelardo Antônio de Assunção Montenegro , Lady Daiane Costa de Sousa Martins , Alan Cézar Bezerra , Ênio Farias de França e Silva , Thieres George Freire da Silva , João L.M.P. de Lima , Xuguang Tang , Alexandre Maniçoba da Rosa Ferraz Jardim
{"title":"DataMetProcess:用于从INMET获取和处理气象数据的开源软件包和Shiny应用程序","authors":"Wagner Martins dos Santos , Hoi Leong Lee , Edimir Xavier Leal Ferraz , Abelardo Antônio de Assunção Montenegro , Lady Daiane Costa de Sousa Martins , Alan Cézar Bezerra , Ênio Farias de França e Silva , Thieres George Freire da Silva , João L.M.P. de Lima , Xuguang Tang , Alexandre Maniçoba da Rosa Ferraz Jardim","doi":"10.1016/j.softx.2025.102185","DOIUrl":null,"url":null,"abstract":"<div><div>The acquisition and understanding of meteorological data are crucial for management in various sectors of society. Thus, the objective was to develop a package in the R programming environment to download and process data provided by Brazilian National Institute of Meteorology (INMET) and to create a free web-based tool using Shiny (interactive web apps) to simplify the use of the functions provided in the package. The DataMetProcess package was developed, offering four essential functions to extract information from the database, correct time zones, change the time scale, and calculate reference evapotranspiration according to the Penman-Monteith model. The Shiny web application developed is available in three versions: (1) the code; (2) portable; and (3) a web version. The DataMetProcess package and the developed web application are effective in processing the data provided by INMET, democratizing access to information and facilitating analysis through the interactive web application. Finally, being open-source, it can be easily adapted and used worldwide. We encourage the research community to adopt this tool and provide feedback to further refine its usability and efficiency.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102185"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DataMetProcess: An open-source package and Shiny application for the acquisition and processing of meteorological data from INMET\",\"authors\":\"Wagner Martins dos Santos , Hoi Leong Lee , Edimir Xavier Leal Ferraz , Abelardo Antônio de Assunção Montenegro , Lady Daiane Costa de Sousa Martins , Alan Cézar Bezerra , Ênio Farias de França e Silva , Thieres George Freire da Silva , João L.M.P. de Lima , Xuguang Tang , Alexandre Maniçoba da Rosa Ferraz Jardim\",\"doi\":\"10.1016/j.softx.2025.102185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The acquisition and understanding of meteorological data are crucial for management in various sectors of society. Thus, the objective was to develop a package in the R programming environment to download and process data provided by Brazilian National Institute of Meteorology (INMET) and to create a free web-based tool using Shiny (interactive web apps) to simplify the use of the functions provided in the package. The DataMetProcess package was developed, offering four essential functions to extract information from the database, correct time zones, change the time scale, and calculate reference evapotranspiration according to the Penman-Monteith model. The Shiny web application developed is available in three versions: (1) the code; (2) portable; and (3) a web version. The DataMetProcess package and the developed web application are effective in processing the data provided by INMET, democratizing access to information and facilitating analysis through the interactive web application. Finally, being open-source, it can be easily adapted and used worldwide. We encourage the research community to adopt this tool and provide feedback to further refine its usability and efficiency.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"30 \",\"pages\":\"Article 102185\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711025001529\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025001529","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
DataMetProcess: An open-source package and Shiny application for the acquisition and processing of meteorological data from INMET
The acquisition and understanding of meteorological data are crucial for management in various sectors of society. Thus, the objective was to develop a package in the R programming environment to download and process data provided by Brazilian National Institute of Meteorology (INMET) and to create a free web-based tool using Shiny (interactive web apps) to simplify the use of the functions provided in the package. The DataMetProcess package was developed, offering four essential functions to extract information from the database, correct time zones, change the time scale, and calculate reference evapotranspiration according to the Penman-Monteith model. The Shiny web application developed is available in three versions: (1) the code; (2) portable; and (3) a web version. The DataMetProcess package and the developed web application are effective in processing the data provided by INMET, democratizing access to information and facilitating analysis through the interactive web application. Finally, being open-source, it can be easily adapted and used worldwide. We encourage the research community to adopt this tool and provide feedback to further refine its usability and efficiency.
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.