Sep 2026· Stochastic environmental research and risk assessment (Print)· Vol 40· 0 citations· 43 references
TL;DR
Results indicate that by the late twenty-first century, rising temperatures-driving glacier melt and sea surface warming-will be the primary causes of sea-level rise.
Results indicate enhanced ice-edge preservation and error-growth control in reanalysis?forced simulation, while PIHIM retains measurable short-range prediction skill under forecast-forced conditions.
Ma-Qun Zhang, Feng Gao, Wan-Kun Chen et al.· 0 citations
DLESyM-Ocean is stable when autoregressively run for multi-year simulations and produces a climatology and variability with minimal bias compared with reanalysis, and the computational efficiency of DLESyM-Ocean makes it a promising tool for subseasonal to seasonal forecasting.
Zachary I. Espinosa, Nathaniel Cresswell-Clay, William Yik et al.· 0 citations
Coastal upwelling and typhoon-driven mixing can cool a buoy record by several degrees within hours. Sensor faults do the same. Quality-control schemes that flag anomalies by residual magnitude alone therefore risk discarding real events. We analysed 30 min temperature records from six buoys and three depths off the eas...
H. Joo, Byoung-Jun Lim, H. Jung· Journal of Marine Science an...· 1 citation
This study proposes a novel deep learning framework that uses a U-Net to generate an initial high-resolution SST estimate, which is subsequently refined using a residual corrective approach, and progressively refines initial U-Net predictions by incorporating dynamically scaled residuals at each step, enabling accurate...
Onkar Jadhav, Tim French, I. Janeković et al.· 1 citation
This study develops a tree-based framework for simultaneous multi-step prediction of typhoon trajectory and intensity in Western North Pacific (WNP), and applies SHapley additive explanations (SHAP) to quantify the contribution of individual environmental drivers to each forecast.
H. Dang, M. Roantree, V. Tran· Environmental Research Commu...· 0 citations
Ocean surface waves in mixed sea states, where locally generated wind-sea coexists with remotely generated swell, remain difficult to parameterize in Earth System Models. A basic physical question is which minimal set of variables governs the wave height, and what relationships connect them. Deep learning can predi...
L. Farina, Felipe C. Minuzzi· Journal of Physical Oceanogr...· 0 citations
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