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Using Generative Models to Create a Visual Description of Climate Change

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ArtsIT, Interactivity and Game Creation (ArtsIT 2023)

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Abstract

The discrepancy between the rapid dissemination of information and its effective communication underlies the phenomenon of scientific denialism. Given the rapid strides in AI generative models, this project explores the domain of knowledge visualization to portray weather data through a visually captivating representation of Rio de Janeiro’s climate evolution up to the year 2100. The use of prompt engineering over climate models has yielded promising outcomes in image generation, yet challenges remain in ensuring deterministic accuracy in image construction.

Supported by GAIA Senses - Renato Archer Information Technology Center, Campinas, SP, Brazil, 13069-901.

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Acknowledgements

I extend my gratitude to Dr. Priscila Coltri for her valuable comments and guidance on climate resources, to Matheus Alves for his assistance in data acquisition and processing, to Davide Romano for his collaboration with references, and to Michael Al-Hussein for providing his footage of Rio de Janeiro.

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Authors and Affiliations

  1. Institute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil

    Felipe Santana Dias & Helio Pedrini

  2. GAIA Senses, Renato Archer Information Technology Center, Campinas, SP, 13069-901, Brazil

    Artemis Moroni

Authors
  1. Felipe Santana Dias
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  2. Artemis Moroni
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  3. Helio Pedrini
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Corresponding author

Correspondence to Felipe Santana Dias .

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Editors and Affiliations

  1. Aalborg University, Aalborg, Denmark

    Anthony L. Brooks

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Santana Dias, F., Moroni, A., Pedrini, H. (2024). Using Generative Models to Create a Visual Description of Climate Change. In: Brooks, A.L. (eds) ArtsIT, Interactivity and Game Creation. ArtsIT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 564. Springer, Cham. https://doi.org/10.1007/978-3-031-55319-6_14

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  • DOI: https://doi.org/10.1007/978-3-031-55319-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-55318-9

  • Online ISBN: 978-3-031-55319-6

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