Numerical and Data-Driven Modelling in Coastal, Hydrological and Hydraulic Engineering

• その他の著者: Fang, Fangxin (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• 主題: Research & information: general; numerical modelling; unstructured meshes; finite volume; North Sea; salinity; deep learning; martinez boundary salinity generator; Sacramento-San Joaquin Delta; residence time; exposure time; transport time scale; hyper-tidal estuary; singular value decomposition; data assimilation; ocean models; observation strategies; ocean forecasting systems; ocean Double Gyre; 4D-Var; ROMS; MEOF; initial ensemble; ensemble spread; LETKF; n/a
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

The book presents recent studies covering the aspects of challenges in predictive modelling and applications. Advanced numerical techniques for accurate and efficient real-time prediction and optimal management in coastal and hydraulic engineering are explored. For example, adaptive unstructured mes...