Articles | Volume 19
https://doi.org/10.5194/asr-19-9-2022
https://doi.org/10.5194/asr-19-9-2022
23 Mar 2022
 | 23 Mar 2022

“My personal forecast”: the digital transformation of the weather forecast communication using a fuzzy logic recommendation system

Dimitrios S. Stamoulis and Panos A. Giannopoulos

Viewed

Total article views: 1,954 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,710 196 48 1,954 20 22
  • HTML: 1,710
  • PDF: 196
  • XML: 48
  • Total: 1,954
  • BibTeX: 20
  • EndNote: 22
Views and downloads (calculated since 23 Mar 2022)
Cumulative views and downloads (calculated since 23 Mar 2022)

Viewed (geographical distribution)

Total article views: 1,834 (including HTML, PDF, and XML) Thereof 1,834 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
Short summary
Weather forecast refers to objective estimations of parameters such as temperature, wind, humidity etc. However, attempts have been made to communicate the weather forecast into a more subjective approach, such as the "feels like" temperature. We propose an architecture for an artificial intelligence-based system to provide a forecast that could be more meaningful and actionable for each individual person; a forecast much closer to the way that this person "lives" the weather conditions.