基于深度学习的南海海表面温度的智能化预测研究
海表面温度(sea surface temperature, SST)是影响海洋和气候变化的重要因素之一，准确预测SST的变化对于海洋生态环境、气象和航行等至关重要。传统的SST预测方法通常依赖于数值模式，但是其计算成本较高。该文基于深度学习模型(3D U-Net)，将SST、海表面高度异常(sea surface height anomalies, …
Bowen Xie
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Promotion Effect of Asian Dust on Phytoplankton Growth and Potential Dissolved Organic Phosphorus Utilization in the South China Sea
Dust deposition is an important nutrient source to the South China Sea (SCS), but few in situ experiments were conducted on phytoplankton response to the deposition. We conducted …
Qiang Chu
Modeling Seasonal Variations of Subsurface Chlorophyll Maximum in South China Sea
In the South China Sea (SCS), the subsurface chlorophyll maximum (SCM) is frequently observed while the mechanisms of SCM occurrence have not been well understood. In this study, a …
