Evaluation of Global Ocean Data Assimilation Experiment products on South Florida nested simulations with the Hybrid Coordinate Ocean Model

2008 ◽  
Vol 59 (1) ◽  
pp. 47-66 ◽  
Author(s):  
Vassiliki H. Kourafalou ◽  
Ge Peng ◽  
HeeSook Kang ◽  
Patrick J. Hogan ◽  
Ole-Martin Smedstad ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Ocean Model ◽  
South Florida ◽  
Global Ocean ◽  
Assimilation Experiment ◽  
Ocean Data Assimilation ◽  
Hybrid Coordinate Ocean Model

scholarly journals GODAE: The Global Ocean Data Assimilation Experiment

Oceanography ◽  
2009 ◽  
Vol 22 (3) ◽  
pp. 14-21 ◽  
Author(s):  
Michael Bell ◽  
Michel Lefèbvre ◽  
Pierre-Yves Le Traon ◽  
Neville Smith ◽  
Kirsten Wilmer-Becker
Keyword(s):  
Data Assimilation ◽  
Global Ocean ◽  
Assimilation Experiment ◽  
Ocean Data Assimilation

scholarly journals DESIGN AND IMPLEMENTATION OF THE OCEANOGRAPHIC MODELING AND OBSERVATION NETWORK (REMO) FOR OPERATIONAL OCEANOGRAPHY AND OCEAN FORECASTING

2013 ◽  
Vol 31 (2) ◽  
pp. 210 ◽  
Author(s):  
Jose Antonio Moreira Lima ◽  
Renato Parkinson Martins ◽  
Clemente Augusto Souza Tanajura ◽  
Afonso De Moraes Paiva ◽  
Mauro Cirano Cirano ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Atlantic Ocean ◽  
Large Scale ◽  
Integrated Approach ◽  
Global Ocean ◽  
Assimilation Experiment ◽  
In Situ Data ◽  
Ocean Data Assimilation ◽  
Observation Network ◽  
Ocean Forecasting

ABSTRACT. This paper is concerned with the planning, implementation and some results of the Oceanographic Modeling and Observation Network (REMO) for Brazilian regional waters. Ocean forecasting has been an important scientific issue over the last decade due to studies related to climate change as well as applications related to short-range oceanic forecasts. It is a challenge to design an ocean forecasting system for a region with poor observational coverage of in situ data such as the South Atlantic Ocean. An integrated approach is proposed here in which the large-scale circulation in the Atlantic Ocean is modeled in a first step, and gradually downscaled into higher resolution regional models. This approach is able to resolve important processes such as the Brazil Current and associated meso-scale variability, continental shelf waves, local and remote wind forcing, and others. This article presents the overall strategy to develop the models using a network of Brazilian institutions and their related expertise along with international collaboration. This work has some similarity with goals of the international project Global Ocean Data Assimilation Experiment OceanView (GODAE OceanView), in which REMO takes part.Keywords: ocean models, ocean measurements, data assimilation. RESUMO. Este artigo apresenta o planejamento, implementação e alguns resultados da Rede de Modelagem e Observação Oceanográfica, com acrônimo REMO, para águas territoriais brasileiras. A previsão de condições oceânicas tem sido um importante tópico de pesquisa científica ao longo da última década, devido a estudos relacionados com mudanças climáticas assim como interesse por previsões sinóticas de curto prazo de variáveis tais como correntes marinhas e temperatura da água. É um desafio realizar o projeto de um sistema de previsão para uma região oceânica com baixa disponibilidade de medições, como o Oceano Atlântico Sul. Uma proposta de desenvolvimento integrado é apresentada neste trabalho, onde um modelo de circulação oceânica de todo Oceano Atlântico foi implementado como passo inicial, e gradualmente foram aninhados modelos regionais com maior resolução espacial. Este artigo apresenta a estratégia de desenvolvimento destes modelos oceânicos utilizando o conhecimento científico disponibilizado por pesquisadores de uma rede de instituições brasileiras, com eventual colaboração de pesquisadores internacionais. Esta iniciativa brasileira possui pontos comuns com um projeto de cooperação científica internacional, denominado Global Ocean Data Assimilation Experiment OceanView (GODAE OceanView), da qual a REMO faz parte.Palavras-chave: oceanografia operacional, modelagem oceânica, sensoriamento remoto, medições oceanográficas, assimilação de dados.

scholarly journals OCEAN FORECASTS IN THE SOUTHWESTERN ATLANTIC: IMPACT OF DIFFERENT SOURCES OF SEA SURFACE HEIGHT IN DATA ASSIMILATION

2013 ◽  
Vol 31 (2) ◽  
pp. 243 ◽  
Author(s):  
Raquel Leite Mello ◽  
Ana Cristina Neves de Freitas ◽  
Lucimara Russo ◽  
Jean Felix de Oliveira ◽  
Clemente Augusto Souza Tanajura ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Ocean Model ◽  
Sea Surface ◽  
Naval Research ◽  
Southwest Atlantic ◽  
Argo Data ◽  
Ocean Data Assimilation ◽  
Hybrid Coordinate Ocean Model ◽  
Oceanographic Data ◽  
The One

ABSTRACT. The objective in this paper is to analyze which Sea Surface Height (SSH) source applied to HYCOM (HYbrid Coordinate Ocean Model) is best suited to numerical prediction of the Southwest Atlantic Ocean. To this end two nested grids were used. One grid for the entire Atlantic Ocean (1/4◦) nesting the grid for the Southwest Atlantic (1/12◦) in the one-way mode. Three forecast experiments with different SSH data sources (Naval Research Laboratory – NRL; Archiving, Validation and Interpolation of Oceanographic Data – AVISO and MERCATOR) applied to constrain the initial conditions and a control forecast experiment without SSH constrain were compared. The comparison of forecasted temperature and salinity profiles with Argo data showed good correlation, over 0.98 for temperature and 0.87 for salinity. The NRL experiment – with SSH obtained by HYCOM+NCODA (Navy Coupled Ocean Data Assimilation System) GLOBAL 1/12◦ analysis was the one that best represented the average temperature and salinity profile with respect to the Argo data. Keywords: HYCOM, numerical modeling, ocean prediction, Argo profiler, Taylor diagram. RESUMO. O objetivo deste trabalho é avaliar qual a fonte de dados de ASM (Altura da Superfície do Mar) imposta no modelo HYCOM (HYbrid Coordinate Ocean Model) é mais adequada para a previsão numérica do Oceano Atlântico Sudoeste. Para isto foram utilizadas duas grades aninhadas, uma grade para todo o Oceano Atlântico (1/4◦) aninhada no modo one-way a outra grade para o Atlântico Sudoeste (1/12◦). Foram realizados três experimentos com diferentes campos de ASM (Naval Research Laboratory – NRL; Archiving, Validation and Interpolation of Oceanographic data – AVISO e MERCATOR) impostos na condição inicial e um experimento controle no qual não foi usada fonte de ASM externa. A comparação dos perfis de temperatura e salinidade entre os dados observados e os resultados do modelo apresentou boa correlação, maior que 0,98 para a temperatura e 0,87 para a salinidade. O experimento NRL com ASM total obtido dos resultados do HYCOM+NCODA (Navy Coupled Ocean Data Assimilation) GLOBAL 1/12◦ foi o que melhor representou o perfil médio de temperatura e salinidade observado.  Palavras-chave: HYCOM, modelagem numérica, previsão oceânica, perfiladores Argo, diagrama de Taylor.

scholarly journals Transports and budgets in a 1/4 ° global ocean reanalysis 1989–2010

Ocean Science ◽  
2012 ◽  
Vol 8 (3) ◽  
pp. 333-344 ◽  
Author(s):  
K. Haines ◽  
M. Valdivieso ◽  
H. Zuo ◽  
V. N. Stepanov
Keyword(s):  
Data Assimilation ◽  
Large Scale ◽  
Ocean Model ◽  
Global Ocean ◽  
Ocean Reanalysis ◽  
Ocean Data Assimilation ◽  
Ocean Reanalyses ◽  
Atmospheric Observations ◽  
Atmospheric Heat ◽  
Regional Budgets

Abstract. Large-scale ocean transports of heat and freshwater have not been well monitored, and yet the regional budgets of these quantities are important to understanding the role of the oceans in climate and climate change. In contrast, atmospheric heat and freshwater transports are commonly assessed from atmospheric reanalysis products, despite the presence of non-conserving data assimilation based on the wealth of distributed atmospheric observations as constraints. The ability to carry out ocean reanalyses globally at eddy-permitting resolutions of 1/4 ° or better, along with new global ocean observation programs, now makes a similar approach viable for the ocean. In this paper we examine the budgets and transports within a global high resolution ocean model constrained by ocean data assimilation, and compare them with independent oceanic and atmospheric estimates.

scholarly journals Transports and budgets in a 1/4° global ocean reanalysis 1989–2010

2012 ◽  
Vol 9 (1) ◽  
pp. 261-290 ◽  
Author(s):  
K. Haines ◽  
M. Valdivieso ◽  
H. Zuo ◽  
V. N. Stepanov
Keyword(s):  
Data Assimilation ◽  
Large Scale ◽  
Ocean Model ◽  
Global Ocean ◽  
Ocean Reanalysis ◽  
Ocean Data Assimilation ◽  
Ocean Reanalyses ◽  
Atmospheric Observations ◽  
Atmospheric Heat ◽  
Regional Budgets

Abstract. Large scale ocean transports of heat and freshwater have not been well monitored, and yet the regional budgets of these quantities are vital to understanding the role of the oceans in climate and climate change. In contrast atmospheric heat and freshwater transports are commonly assessed from atmospheric reanalysis products, despite the presence of non-conserving data assimilation based on the wealth of distributed atmospheric observations as constraints. The ability to carry out ocean reanalyses globally at eddy permitting resolutions of 1/4° or better, along with new global ocean observation programs, now make a similar approach viable for the ocean. In this paper we examine the budgets and transports within a global high resolution ocean model constrained by ocean data assimilation, and compare them with independent ocean and atmospheric estimates.

scholarly journals The Global Ocean Data Assimilation Experiment High-resolution Sea Surface Temperature Pilot Project

2007 ◽  
Vol 88 (8) ◽  
pp. 1197-1214 ◽  
Author(s):  
C. Donlon ◽  
I. Robinson ◽  
K. S. Casey ◽  
J. Vazquez-Cuervo ◽  
E. Armstrong ◽  
...  
Keyword(s):  
High Resolution ◽  
Data Assimilation ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Pilot Project ◽  
Sea Surface ◽  
Global Ocean ◽  
Assimilation Experiment ◽  
Ocean Data Assimilation ◽  
Data Products

A new generation of integrated sea surface temperature (SST) data products are being provided by the Global Ocean Data Assimilation Experiment (GODAE) High-Resolution SST Pilot Project (GHRSST-PP). These combine in near-real time various SST data products from several different satellite sensors and in situ observations and maintain the fine spatial and temporal resolution needed by SST inputs to operational models. The practical realization of such an approach is complicated by the characteristic differences that exist between measurements of SST obtained from subsurface in-water sensors, and satellite microwave and satellite infrared radiometer systems. Furthermore, diurnal variability of SST within a 24-h period, manifested as both warm-layer and cool-skin deviations, introduces additional uncertainty for direct intercomparison between data sources and the implementation of data-merging strategies. The GHRSST-PP has developed and now operates an internationally distributed system that provides operational feeds of regional and global coverage high-resolution SST data products (better than 10 km and ~6 h). A suite of online satellite SST diagnostic systems are also available within the project. All GHRSST-PP products have a standard format, include uncertainty estimates for each measurement, and are served to the international user community free of charge through a variety of data transport mechanisms and access points. They are being used for a number of operational applications. The approach will also be extended back to 1981 by a dedicated reanalysis project. This paper provides a summary overview of the GHRSST-PP structure, activities, and data products. For a complete discussion, and access to data products and services see the information online at www.ghrsst-pp.org.

Previsões Oceânicas no Atlântico Sudoeste (METAREA V) Utilizando

2014 ◽  
Vol 31 (2) ◽  
Author(s):  
Raquel Leite Mello ◽  
João Bosco Rodrigues Alvarenga ◽  
Ana Cristina Neves de Freitas ◽  
Clemente Tanajura ◽  
Lucimara Russo ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Research Laboratory ◽  
Ocean Model ◽  
Naval Research Laboratory ◽  
Naval Research ◽  
Ocean Data Assimilation ◽  
Hybrid Coordinate Ocean Model

Neste trabalho foi utilizado o modelo hidrodinâmico HYCOM (HYbrid Coordinate Ocean Model) em duas grades aninhadas. Uma grade para todo o Oceano Atlântico (1/4º) aninhada a outra com para a Metarea V (1/12º). O objetivo é avaliar qual a fonte de dados de ASM (Altura da Superfície do Mar) imposta no modelo é mais adequada para a previsão numérica da área de interesse. Foram realizados três experimentos com diferentes campos de ASM impostos na condição inicial com o esquema de Cooper & Haines (1996) e um experimento controle no qual não foi imposta fonte de ASM externa. De maneira geral, os resultados obtidos através das simulações do HYCOM apresentam-se satisfatórios quando comparados aos dados observacionais de temperatura e salinidade de derivadores Argo. O experimento NRL com ASM total obtido dos resultados do HYCOM+NCODA (Navy Coupled Ocean Data Assimilation) GLOBAL 1/12º obtidos no NRL (Naval Research Laboratory) foi o que melhor representou o perfil médio de temperatura e salinidade observado. No Diagrama de Taylor, este mesmo experimento mostrou maior correlação (0,99), menor erro quadrático médio (0,99ºC) e desvio padrão (8,76ºC) muito próximo dos dados observados (8,67ºC).

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