scholarly journals Modelagem numérica da região costeira de Santos (SP): circulação de maré

1998 ◽  
Vol 46 (2) ◽  
pp. 135-156 ◽  
Author(s):  
Joseph Harari ◽  
Ricardo de Camargo

Foi implementado o Princeton Ocean Model (POM) para a região costeira de Santos (46° - 47°W, 23°40' - 24°30'S), com grade regular de resolução == I km e 11 níveis sigrna na vertical. O modelo foi utilizado em simulações de maré, com a especificação das correspondentes oscilações nos contornos, calculadas com base em mapas cotidais da plataforma. O modelo foi processado considerando isoladamente as componentes principais lunar e solar (M2 e S2), cada qual por 5 dias, e com as 9 principais componentes de maré conjuntamente, por 31 dias. As análises de maré das séries temporais de resultados possibilitaram a composição de mapas com linhas cotidais e eixos das elipses de correntes de superfície. Esses mapas indicam as características da propagação das ondas de maré na área modelada, com as distribuições espaciais de suas elevações e correntes. Os aspectos de maior interesse no estudo realizado são: o contraste das intensidades das circulações, entre a parte mais profunda e regiões internas rasas; as marcantes diferenças de intensidade de correntes nos dois lados da Baía de Santos; a convergência / divergência das correntes nos Canais de São Vicente e de Bertioga; assimetrias de maré nas regiões rasas; e rotação anti-horária das correntes na área costeira. O modelo pode ser utilizado em previsões operacionais de marés e correntes de maré na área de estudo.

2015 ◽  
Vol 32 (1) ◽  
pp. 144-163 ◽  
Author(s):  
Richard M. Yablonsky ◽  
Isaac Ginis ◽  
Biju Thomas ◽  
Vijay Tallapragada ◽  
Dmitry Sheinin ◽  
...  

AbstractThe Princeton Ocean Model for Tropical Cyclones (POM-TC), a version of the three-dimensional primitive equation numerical ocean model known as the Princeton Ocean Model, was the ocean component of NOAA’s operational Hurricane Weather Research and Forecast Model (HWRF) from 2007 to 2013. The coupled HWRF–POM-TC system facilitates accurate tropical cyclone intensity forecasts through proper simulation of the evolving SST field under simulated tropical cyclones. In this study, the 2013 operational version of HWRF is used to analyze the POM-TC ocean temperature response in retrospective HWRF–POM-TC forecasts of Atlantic Hurricanes Earl (2010), Igor (2010), Irene (2011), Isaac (2012), and Leslie (2012) against remotely sensed and in situ SST and subsurface ocean temperature observations. The model generally underestimates the hurricane-induced upper-ocean cooling, particularly far from the storm track, as well as the upwelling and downwelling oscillation in the cold wake, compared with observations. Nonetheless, the timing of the model SST cooling is generally accurate (after accounting for along-track timing errors), and the ocean model’s vertical temperature structure is generally in good agreement with observed temperature profiles from airborne expendable bathythermographs.


2012 ◽  
Vol 9 (1) ◽  
pp. 63-103
Author(s):  
K. O'Driscoll ◽  
V. Kamenkovich

Abstract. The analysis is presented of the distribution of deep ocean turbulence characteristics on the horizontal scale of order 100 km in the vicinity of the Lifamatola Sill, from the Southern Maluku Sea (north of the sill) to the Seram Sea (south of the sill). The turbulence characteristics were calculated with a regional model of the Indonesian seas circulation based on the Princeton Ocean Model (POM), incorporating the Mellor-Yamada turbulence closure scheme. The analysis has been carried out for the entire Indonesian seas region, including areas around important topographic features, such as the Lifamatola Sill, the North Sangihe Ridge, the Dewakang Sill and the North and South Halmahera Sea Sills. To illustrate results of application of the Mellor-Yamada closure scheme we have focused on the description of features of turbulence characteristics across the Lifamatola Sill because dynamically this region is very important and some estimates of mixing coefficients in this area are available. As is well known, the POM model output provides both dynamical (depth-integrated and 3-D velocities, temperature, salinity, and sea-surface-height) and turbulence characteristics (kinetic energy and master scale of turbulence, mixing coefficients of momentum, temperature and salinity, etc.). As a rule, the analysis of POM modeling results has been restricted to the study of corresponding dynamical characteristics, however the study of turbulence characteristics is essential to understanding the dynamics of the ocean circulation as well. Due to the absence of direct measurements of turbulence characteristics in the analyzed area, we argued the validity of the simulated characteristics in the light of their compatibility with some general principles. Thus, along these lines, vertical profiles of across-the-sill velocities, twice the kinetic energy of turbulence, turbulence length scale, the separate terms in the equation of kinetic energy of turbulence, the Richardson number, and finally coefficients of mixing of momentum and temperature and salinity are discussed. Average values of the vertical mixing coefficient compare well with indirect estimates previously made from diagnostic calculations based on Munk's model.


2013 ◽  
Vol 31 (1) ◽  
pp. 17 ◽  
Author(s):  
José Francisco Almeida de Souza ◽  
José Luiz Lima de Azevedo ◽  
Leopoldo Rota de Oliveira ◽  
Ivan Dias Soares ◽  
Maurício Magalhães Mata

One of the most challenging issues in oceanography is the simulation of the mixing processes, which are responsible for diffusion of momentum, heat, salt, sediments etc. In the modeling of flow, the hydrodynamic model simulates the properties of the mean flow while the turbulence model, coupled to the first, is responsible for simulating the mixing processes. In this article it is used the Princeton Ocean Model (POM), which includes the well known turbulent closure model q2 − q2L of Mellor & Yamada (1982), level 2.5. To add flexibility to the modeling, the k − ε and k − ω models, which belong to the same class of models, are incorporated into the POM and two test cases, one involving the deepening of the oceanic mixed layer and the other addressing the estuarine circulation, are carried out to allow the quality assessment of the models implementation in the computer code. The tests indicated that the model implementation was adequate. Comparing with the original model available in the Princeton Ocean Model, the results showed that the model k − ε tends to overestimate the mixed layer, while the model k − ω underestimates it, within an acceptable range of tolerance. In terms of estuarine circulation, the k − ε and k − ω models showed a greater capacity of mixing at the bottom of the estuarine mixing zone and also at the surface layer.RESUMO: Uma das questões mais desafiadoras em oceanografia é a simulação dos processos de mistura, responsáveis pela difusão de momentum, calor, sal, sedimentos etc. Na modelagem de escoamentos, o modelo hidrodinâmico simula as propriedades do escoamento médio, enquanto o modelo de turbulência, acoplado ao primeiro, é o responsável por simular os processos de mistura. Nesse artigo é utilizado o Princeton Ocean Model (POM), o qual traz acoplado o conhecido esquema de fechamento turbulento q2 − q2L de Mellor & Yamada (1982), n´ıvel 2.5. Para adicionar flexibilidade à modelagem, os modelos k − ε e k − ω, da mesma categoria de modelos, são incorporados ao POM e dois casos-teste, um envolvendo o aprofundamento da camada de mistura oceânica e o outro a circulação estuarina, são realizados para permitir a avaliação da qualidade da implementação dos modelos no código computacional. Os testes indicaram que a implementação dos modelos foi adequada. Tendo como referência o modelo original do POM, os resultados mostraram que o modelo k − ε tende a superestimar a camada de mistura, enquanto o k − ω a subestima, numa faixa aceitável de tolerância. Em termos de circulação estuarina, os modelos k − ε e k − ω apresentaram uma maior capacidade de mistura tanto no fundo da zona de mistura estuarina como na camada superficial.Palavras-chave: modelos de turbulência, processos de mistura, modelos a duas equações, camada de mistura, circulação estuarina.


2015 ◽  
Vol 8 (9) ◽  
pp. 2815-2827 ◽  
Author(s):  
S. Xu ◽  
X. Huang ◽  
L.-Y. Oey ◽  
F. Xu ◽  
H. Fu ◽  
...  

Abstract. Graphics processing units (GPUs) are an attractive solution in many scientific applications due to their high performance. However, most existing GPU conversions of climate models use GPUs for only a few computationally intensive regions. In the present study, we redesign the mpiPOM (a parallel version of the Princeton Ocean Model) with GPUs. Specifically, we first convert the model from its original Fortran form to a new Compute Unified Device Architecture C (CUDA-C) code, then we optimize the code on each of the GPUs, the communications between the GPUs, and the I / O between the GPUs and the central processing units (CPUs). We show that the performance of the new model on a workstation containing four GPUs is comparable to that on a powerful cluster with 408 standard CPU cores, and it reduces the energy consumption by a factor of 6.8.


Author(s):  
Т.Я. Шульга ◽  
В.В. Суслин

Выполнено гидродинамическое моделирование акватории Азовского моря на основе Princeton Ocean Model при задании атмосферного воздействия по модели SKIRON для периода 2013-2014 гг. На основе совместного анализа результатов численного моделирования и космического мониторинга по данным спутника Aqua (MODIS) исследованы особенности пространственно-временной динамики оптически активной взвеси в Азовском море. Взвешенные вещества различного происхождения проявляется в суммарном индексе поглощения света, или обратного рассеяния света морской водой. Новые алгоритмы применены для определения согласованности данных, полученных методами дистанционного зондирования морской поверхности из космоса, модельных решений и их сочетанием. Комплекс программ реализует алгоритм усвоения данных наблюдений и позволяет выполнять моделирование процесса распространения взвешенных и растворенных веществ основанный на интегрировании уравнения переноса и диффузии. Обсуждаются методы совместного использования информации, дана оценка качества модельного прогноза в зависимости от интервалов усвоения спутниковой информации. Показано, что последовательная схема усвоения данных наблюдений улучшает прогноз распространения взвешенных веществ по модели даже при неинформативных спутниковых изображениях. Численные эксперименты по оценке многоспектральных изображений показали эффективность предложенных в работе алгоритмов.


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