JOURNAL ARTICLE

Dante and meteorology.

  • Published In: Weather (00431656), 2023, v. 78, n. 11. P. 315 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fuccello, Alessandro; Stefanini, Sergio 3 of 3

Abstract

This article discusses the celebration of Dante's 700th anniversary in Italy in 2021, highlighting his contributions to Italian language and national identity. Dante's works, including The Divine Comedy, contain numerous references to meteorological phenomena such as rain, wind, fog, and snow. These references not only provide vivid descriptions but also offer insights into Dante's relationship with the future and prediction, as well as the evolution of meteorology as a scientific discipline. The article also explores the tight bond between theology, philosophy, and science in Dante's work, emphasizing the coherence of these areas in the Middle Ages. The author examines passages from Dante's Divine Comedy that describe various atmospheric phenomena such as rain, wind, snow, and frost. They argue that Dante's keen observational skills and personal experiences with these weather events influenced his vivid descriptions. The article also discusses the development of modern meteorology and the challenges of predicting the future behavior of complex atmospheric systems. Overall, the author suggests that Dante's poetry offers valuable insights into the study of meteorology and the importance of experiential knowledge. [Extracted from the article]

Additional Information

  • Source:Weather (00431656). 2023/11, Vol. 78, Issue 11, p315
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:0043-1656
  • DOI:10.1002/wea.4441
  • Accession Number:173625920
  • Copyright Statement:Copyright of Weather (00431656) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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