2024
DOI: 10.1007/s10236-023-01595-3
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Deep learning-based forecasting of sea surface temperature in the interim future: application over the Aegean, Ionian, and Cretan Seas (NE Mediterranean Sea)

Marios Krestenitis,
Yannis Androulidakis,
Yannis Krestenitis
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Cited by 2 publications
(1 citation statement)
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“…Especially in 2021, the TG's MWHs had significant biochemical implications, affecting the marine environment and causing mass mortality events of prominent biota with considerable impacts (e.g., on aquaculture, fishing, tourism, human health; [54,165,194]). The importance of MHWs raises the need for accurate prediction tools for both short-term (e.g., a few days based on operational hydrodynamic modeling) and interim-future periods (e.g., forecasts of weeks to months based on artificial intelligence techniques; [195]).…”
Section: Thermaikos Gulf Under Climate Changementioning
confidence: 99%
“…Especially in 2021, the TG's MWHs had significant biochemical implications, affecting the marine environment and causing mass mortality events of prominent biota with considerable impacts (e.g., on aquaculture, fishing, tourism, human health; [54,165,194]). The importance of MHWs raises the need for accurate prediction tools for both short-term (e.g., a few days based on operational hydrodynamic modeling) and interim-future periods (e.g., forecasts of weeks to months based on artificial intelligence techniques; [195]).…”
Section: Thermaikos Gulf Under Climate Changementioning
confidence: 99%