Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 3
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
What can we learn from Global Altimetry/Hydrography comparisons? - art. no. L10604 ArchiMer
Guinehut, S; Le Traon, Pierre-yves; Larnicol, G.
Differences and complementarities between altimeter and hydrographic data are studied to describe the sea level and ocean circulation variations in terms of steric and non-steric contributions. Altimeter sea level anomalies (SLA) and hydrographic dynamic height anomalies (DHA) agree remarkably well. They also reveal, however, systematic large-scale differences in several areas of the Pacific and Indian oceans that are related to a barotropic, Sverdrup-like, response of the ocean to wind forcing. In addition, the use of the two data sets provides a good estimation of the partition between barotropic and baroclinic modes needed for data synthesis or assimilation studies.
Tipo: Text Palavras-chave: Physical Oceanography; Hydrography; Altimetry.
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/publication-1551.pdf
Imagem não selecionada

Imprime registro no formato completo
Benefits of the future sea surface salinity measurements from SMOS: Generation and characteristics of SMOS geophysical products ArchiMer
Obligis, E; Boone, C; Larnicol, G; Philipps, S; Tranchant, B; Le Traon, Pierre-yves.
Soil Moisture and Ocean Salinity (SMOS) level 2 and level 3 products are simulated and characterized over a one-year time period. A simulator is first used to evaluate the sea surface salinity (SSS) error of level 2 SMOS products. An optimal interpolation method is then adapted to map the surface salinity in order to simulate a level 3 SMOS product. The quality of the simulated products is satisfactory. The mean error of the SSS at pixel scale is around 1 psu, and the error on the final gridded product fits the Global Ocean Data Assimilation Experiment requirements (0.2 psu).
Tipo: Text Palavras-chave: Soil Moisture and Ocean Salinity SMOS; Sea surface salinity SSS; Remote sensing; Optimal interpolation; Microwave radiometry; Brightness temperatures.
Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-3773.pdf
Imagem não selecionada

Imprime registro no formato completo
Merging SeaWiFS and MODIS/Aqua Ocean Color Data in North and Equatorial Atlantic Using Weighted Averaging and Objective Analysis ArchiMer
Pottier, C; Garcon, V; Larnicol, G; Sudre, J; Schaeffer, P; Le Traon, Pierre-yves.
Two approaches of ocean color data merging were tested and compared in the North and Equatorial Atlantic Basin: the weighted averaging and the objective analysis. The datasets used were the daily level-3 binned data of chlorophyll-a from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer on the Aqua satellite over the year 2003, which is the first common full year of operation. Since they represent input for both approaches, matchups between the satellite and the in situ data from the SeaWiFS Bio-optical Archive and Storage System and the Atlantic Meridional Transect were first studied to compute a spatial map of the root mean-square error and of the bias. Because of the log distribution of the chlorophyll...
Tipo: Text Palavras-chave: Signal analysis; Sea surface; Marine vegetation; Biology.
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/publication-3631.pdf
Registros recuperados: 3
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional