The REMO Ocean Data Assimilation System into HYCOM (RODAS_H): General Description and Preliminary Results

Clemente,; Augusto,; Souza, Teófilo Miguel de; Tanajura,; Àlex,; Novaes,; Santana, Gustavo M.; Davì,; Mignac,; Léonardo,; Nascimento, J. R.; Lima, Pedro U.; Konstantin,; Belyaev,; Xie, Weibo; Jiping,

doi:10.1080/16742834.2014.11447208

Cited by 16 publications

(8 citation statements)

References 3 publications

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“…GLBa0.08 is a uniformly gridded (1/12°) global reanalysis dataset that converts native HYCOM [ab] data into NetCDF data on a native Mercator-curvilinear HYCOM horizontal grid, interpolated into 33 z-levels (Shu et al, 2014). This product provides 11 ocean essential variables, such as the surface water flux, salinity, surface salinity trend, surface temperature trend, and mixed layer depth (MLD) (Augusto Souza Tanajura et al, 2014). All these data are freely available at https://www.hycom.…”

Section: Glba008 Analysis Datamentioning

confidence: 99%

Process-Oriented Estimation of Chlorophyll-a Vertical Profile in the Mediterranean Sea Using MODIS and Oceanographic Float Products

Mao

Zheng

et al. 2022

Front. Mar. Sci.

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Reconstructing chlorophyll-a (Chl-a) vertical profile is a promising approach for investigating the internal structure of marine ecosystem. Given that the process of profile classification in current process-oriented profile inversion methods are either too subjective or too complex, a novel Chl-a profile reconstruction method was proposed incorporating both a novel binary tree profile classification model and a profile inversion model in the Mediterranean Sea. The binary tree profile classification model was established based on a priori knowledge provided by clustering Chl-a profiles measured by BGC-Argo floats performed by the profile classification model (PCM), an advanced unsupervised machine learning clustering method. The profile inversion model contains the relationships between the shape-dependent parameters of the nonuniform Chl-a profile and the corresponding Chl-a surface concentration derived from satellite observations. According to quantitative evaluation, the proposed profile classification model reached an overall accuracy of 89%, and the mean absolute percent deviation (MAPD) of the proposed profile inversion model ranged from 12%–37% under different shape-dependent parameters. By generating monthly three dimensions Chl-a concentration from 2011 to 2018, the proposed process-oriented method exhibits great application potential in investigating the spatial and temporal characteristics of Chl-a profiles and even the water column total biomass throughout the Mediterranean Sea.

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Section: Glba008 Analysis Datamentioning

confidence: 99%

Process-Oriented Estimation of Chlorophyll-a Vertical Profile in the Mediterranean Sea Using MODIS and Oceanographic Float Products

Mao

Zheng

et al. 2022

Front. Mar. Sci.

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“…RODAS employs a modified EnOI scheme (Evensen, 2003). Following Tanajura et al (2014, 2020), the analysis equations of the EnOI implemented by REMO can be written as

w^{a} = w^{b} + K ((), w^{o} - {Hw}^{f}),

K = ((), C \circ B) H^{T} {[H (C \circ B) H^{T} + R]}^{- 1},

where w is the state vector and superscripts a , b , and o , are mean analysis, background, and observation, respectively. H is the observation operator, and K is the gain matrix.…”

Section: Model Configuration and Data Assimilationmentioning

confidence: 99%

“…For the calculation of the innovation vector of the profiles data, the methodology of this work was based on the approach proposed by Thacker and Esenkov (2002), which was later successfully applied by Xie and Zhu (2010), Tanajura et al (2014), Mignac et al (2015), and Tanajura et al (2020). This procedure is performed by creating a quantity defined as synthetic observational layer thickness, or dp obs .…”

Section: Model Configuration and Data Assimilationmentioning

confidence: 99%

“…In order to investigate the effectiveness of the developed SS in a preoperational context and to further investigate whether the assimilation of XBTs would bring some realistic impact to RODAS, data assimilation experiments were performed using HYCOM along with a version of modified EnOI scheme (Mignac et al, 2015;Oke et al, 2008Oke et al, , 2015Tanajura et al, 2014Tanajura et al, , 2020.…”

Section: Model Configuration and Data Assimilationmentioning

confidence: 99%

“…In Brazil, the Oceanographic Modeling and Observation Network (REMO) has been pioneer on the study and implementation of an oceanic operational forecast system. The REMO Ocean Data Assimilation System (RODAS) (Mignac et al, 2015; Tanajura et al, 2014) was developed, and a version runs operationally in the Brazilian Navy Hydrographic Center (CHM) to produce short‐range forecasts. RODAS runs with the HYbrid Coordinate Ocean Model (HYCOM) and is based in a multivariate Ensemble Optimal Interpolation (EnOI) scheme (Evensen, 2003; Oke et al, 2005, 2008, 2015).…”

Section: Introductionmentioning

confidence: 99%

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A New Approach for Estimating Salinity in the Southwest Atlantic and Its Application in a Data Assimilation Evaluation Experiment

et al. 2020

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A new method for generating synthetic salinity (SS) profiles in the Southwest Atlantic was developed and applied in data assimilation experiments. This method was based on the smallest integrated values of root mean square deviation (RMSD)—with respect to observations—to infer salinity through climatological data and by regressive methods on temperature (T) using a five‐order polynomial function (P5). In the 14 delimited subregions, the averaged RMSD of P5 was 45% smaller than interpolated climatological data. However, climatological salinity presented better results in the first top layers while P5 presented smaller errors in higher depths. Therefore, by joining the best that P5 and climatology may offer, a new hybrid approach was used to generate SS based on T from XBT profiles. The SS would allow more T profiles to be employed in the Oceanographic Modeling and Observation Network (REMO) data assimilation system, called RODAS, into the Hybrid Coordinate Ocean Model (HYCOM). The use of SS estimates has potential to improve model outputs, in which the presence of the T‐S pair is quite necessary. Three integrations were performed: one run without assimilation (FREE), one assimilating sea surface temperature, Argo profilers, and sea level anomaly (RODAS) and one similar to RODAS, but with added XBTs with SS (RODAS_XBT). The inclusion of XBT data in the HYCOM + RODAS system improved the position and magnitude of the Brazil Current (BC). It was shown that SS is feasible for producing ocean reanalysis and initial conditions for ocean forecast systems requiring very low computational cost.

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Regional Characteristics of Typhoon-Induced Ocean Eddies in the East China Sea

Wang

Liang

et al. 2018

Adv. Atmos. Sci.

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The REMO Ocean Data Assimilation System into HYCOM (RODAS_H): General Description and Preliminary Results

Cited by 16 publications

References 3 publications

Process-Oriented Estimation of Chlorophyll-a Vertical Profile in the Mediterranean Sea Using MODIS and Oceanographic Float Products

Process-Oriented Estimation of Chlorophyll-a Vertical Profile in the Mediterranean Sea Using MODIS and Oceanographic Float Products

A New Approach for Estimating Salinity in the Southwest Atlantic and Its Application in a Data Assimilation Evaluation Experiment

Regional Characteristics of Typhoon-Induced Ocean Eddies in the East China Sea

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