Big data and artificial intelligence in earth science: recent progress and future advancements

Verdú, Elena; Nieto, Yuri Vanessa; Saleem, Nasir

doi:10.1007/s11600-023-01051-2

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2024

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Cited by 3 publications

References 14 publications

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Conclusions: The Dynamics and Complexity of Geomorphological Hazards in the Nepal Himalaya

Kalvoda,

Novotná

2024

Geoenvironmental Disaster Reduction

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Conclusions: The Dynamics and Complexity of Geomorphological Hazards in the Nepal Himalaya

Kalvoda,

Novotná

2024

Geoenvironmental Disaster Reduction

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Avoiding basic mistakes when programming the use of artificial intelligence in soil and environmental science research

Núñez-Delgado

2024

Science of The Total Environment

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Big data in Earth science: Emerging practice and promise

Vance,

Huang,

Butler

2024

Science

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Improvements in the number and resolution of Earth- and satellite-based sensors coupled with finer-resolution models have resulted in an explosion in the volume of Earth science data. This data-rich environment is changing the practice of Earth science, extending it beyond discovery and applied science to new realms. This Review highlights recent big data applications in three subdisciplines—hydrology, oceanography, and atmospheric science. We illustrate how big data relate to contemporary challenges in science: replicability and reproducibility and the transition from raw data to information products. Big data provide unprecedented opportunities to enhance our understanding of Earth’s complex patterns and interactions. The emergence of digital twins enables us to learn from the past, understand the current state, and improve the accuracy of future predictions.

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Big data and artificial intelligence in earth science: recent progress and future advancements

Cited by 3 publications

References 14 publications

Conclusions: The Dynamics and Complexity of Geomorphological Hazards in the Nepal Himalaya

Conclusions: The Dynamics and Complexity of Geomorphological Hazards in the Nepal Himalaya

Avoiding basic mistakes when programming the use of artificial intelligence in soil and environmental science research

Big data in Earth science: Emerging practice and promise

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