The rapid expansion of urbanization along the world’s coastal areas requires a more comprehensive and accurate understanding of the coastal ocean. Over the past several decades, numerical ocean circulation models have tried to provide such insight, based on our developing understanding of physical ocean processes. The systematic establishment of coastal ocean observation systems adopting cutting-edge technology, such as High Frequency (HF) radar, satellite sensing, gliders, etc., has put such ocean model predictions to the test, by providing comprehensive observational datasets for the validation of numerical model forecasts. The New York Harbor Observing and Prediction System (NYHOPS) is a comprehensive system for understanding coastal ocean processes of the Middle Atlantic Bight (MAB) which includes the continental shelf waters New York and New Jersey. To increase confidence in the system’s ocean circulation predictions in that area, a detailed validation exercise was carried out using HF radar and Lagrangian drifter-derived surface currents from ocean currents-following drifters. The assimilation of HF radar currents greatly improved the ocean model performance.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The rapid expansion of urbanization along the world’s coastal areas requires a more comprehensive and accurate understanding of the coastal ocean. Over the past several decades, numerical ocean circulation models have tried to provide such insight, based on our developing understanding of physical ocean processes. The systematic establishment of coastal ocean observation systems adopting cutting-edge technology, such as High Frequency (HF) radar, satellite sensing, gliders, etc., has put such ocean model predictions to the test, by providing comprehensive observational datasets for the validation of numerical model forecasts. The New York Harbor Observing and Prediction System (NYHOPS) is a comprehensive system for understanding coastal ocean processes of the Middle Atlantic Bight (MAB) which includes the continental shelf waters New York and New Jersey. To increase confidence in the system’s ocean circulation predictions in that area, a detailed validation exercise was carried out using HF radar and Lagrangian drifter-derived surface currents from ocean currents-following drifters. The assimilation of HF radar currents greatly improved the ocean model performance.
Liang Kuang had his Ph.D degree in Ocean Engineering with research focus on data assimilation of high-frequency radar currents into ocean model. He had extensive knowledge and experience in coastal ocean model. Now Dr. Kuang is working at a leading consulting company and provide his expertise to various client as an ocean scientist.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid expansion of urbanization along the world's coastal areas requires a more comprehensive and accurate understanding of the coastal ocean. Over the past several decades, numerical ocean circulation models have tried to provide such insight, based on our developing understanding of physical ocean processes. The systematic establishment of coastal ocean observation systems adopting cutting-edge technology, such as High Frequency (HF) radar, satellite sensing, gliders, etc., has put such ocean model predictions to the test, by providing comprehensive observational datasets for the validation of numerical model forecasts. The New York Harbor Observing and Prediction System (NYHOPS) is a comprehensive system for understanding coastal ocean processes of the Middle Atlantic Bight (MAB) which includes the continental shelf waters New York and New Jersey. To increase confidence in the system's ocean circulation predictions in that area, a detailed validation exercise was carried out using HF radar and Lagrangian drifter-derived surface currents from ocean currents-following drifters. The assimilation of HF radar currents greatly improved the ocean model performance. 164 pp. Englisch. N° de réf. du vendeur 9783659488726
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kuang LiangLiang Kuang had his Ph.D degree in Ocean Engineering with research focus on data assimilation of high-frequency radar currents into ocean model. He had extensive knowledge and experience in coastal ocean model. Now Dr. Kua. N° de réf. du vendeur 5159387
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Taschenbuch. Etat : Neu. Data Assimilation Methodology And Validation In Ocean Model | Liang Kuang (u. a.) | Taschenbuch | 164 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659488726 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105555720
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid expansion of urbanization along the world¿s coastal areas requires a more comprehensive and accurate understanding of the coastal ocean. Over the past several decades, numerical ocean circulation models have tried to provide such insight, based on our developing understanding of physical ocean processes. The systematic establishment of coastal ocean observation systems adopting cutting-edge technology, such as High Frequency (HF) radar, satellite sensing, gliders, etc., has put such ocean model predictions to the test, by providing comprehensive observational datasets for the validation of numerical model forecasts. The New York Harbor Observing and Prediction System (NYHOPS) is a comprehensive system for understanding coastal ocean processes of the Middle Atlantic Bight (MAB) which includes the continental shelf waters New York and New Jersey. To increase confidence in the system¿s ocean circulation predictions in that area, a detailed validation exercise was carried out using HF radar and Lagrangian drifter-derived surface currents from ocean currents-following drifters. The assimilation of HF radar currents greatly improved the ocean model performance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch. N° de réf. du vendeur 9783659488726
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid expansion of urbanization along the world's coastal areas requires a more comprehensive and accurate understanding of the coastal ocean. Over the past several decades, numerical ocean circulation models have tried to provide such insight, based on our developing understanding of physical ocean processes. The systematic establishment of coastal ocean observation systems adopting cutting-edge technology, such as High Frequency (HF) radar, satellite sensing, gliders, etc., has put such ocean model predictions to the test, by providing comprehensive observational datasets for the validation of numerical model forecasts. The New York Harbor Observing and Prediction System (NYHOPS) is a comprehensive system for understanding coastal ocean processes of the Middle Atlantic Bight (MAB) which includes the continental shelf waters New York and New Jersey. To increase confidence in the system's ocean circulation predictions in that area, a detailed validation exercise was carried out using HF radar and Lagrangian drifter-derived surface currents from ocean currents-following drifters. The assimilation of HF radar currents greatly improved the ocean model performance. N° de réf. du vendeur 9783659488726
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock. N° de réf. du vendeur 3659488720
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