FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2292324131> ?p ?o ?g. }

• W2292324131 endingPage "3801" @default.
• W2292324131 startingPage "3779" @default.
• W2292324131 abstract "Abstract. As with other Western Boundary Currents globally, the East Australian Current (EAC) is highly variable making it a challenge to model and predict. For the EAC region, we combine a high-resolution state-of-the-art numerical ocean model with a variety of traditional and newly available observations using an advanced variational data assimilation scheme. The numerical model is configured using the Regional Ocean Modelling System (ROMS 3.4) and takes boundary forcing from the BlueLink ReANalysis (BRAN3). For the data assimilation, we use an Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) scheme, which uses the model dynamics to perturb the initial conditions, atmospheric forcing, and boundary conditions, such that the modelled ocean state better fits and is in balance with the observations. This paper describes the data assimilative model configuration that achieves a significant reduction of the difference between the modelled solution and the observations to give a dynamically consistent “best estimate” of the ocean state over a 2-year period. The reanalysis is shown to represent both assimilated and non-assimilated observations well. It achieves mean spatially averaged root mean squared (rms) residuals with the observations of 7.6 cm for sea surface height (SSH) and 0.4 °C for sea surface temperature (SST) over the assimilation period. The time-mean rms residual for subsurface temperature measured by Argo floats is a maximum of 0.9 °C between water depths of 100 and 300 m and smaller throughout the rest of the water column. Velocities at several offshore and continental shelf moorings are well represented in the reanalysis with complex correlations between 0.8 and 1 for all observations in the upper 500 m. Surface radial velocities from a high-frequency radar array are assimilated and the reanalysis provides surface velocity estimates with complex correlations with observed velocities of 0.8–1 across the radar footprint. A comparison with independent (non-assimilated) shipboard conductivity temperature depth (CTD) cast observations shows a marked improvement in the representation of the subsurface ocean in the reanalysis, with the rms residual in potential density reduced to about half of the residual with the free-running model in the upper eddy-influenced part of the water column. This shows that information is successfully propagated from observed variables to unobserved regions as the assimilation system uses the model dynamics to adjust the model state estimate. This is the first study to generate a reanalysis of the region at such a high resolution, making use of an unprecedented observational data set and using an assimilation method that uses the time-evolving model physics to adjust the model in a dynamically consistent way. As such, the reanalysis potentially represents a marked improvement in our ability to capture important circulation dynamics in the EAC. The reanalysis is being used to study EAC dynamics, observation impact in state-estimation, and as forcing for a variety of downscaling studies." @default.
• W2292324131 created "2016-06-24" @default.
• W2292324131 creator A5010478024 @default.
• W2292324131 creator A5037375915 @default.
• W2292324131 creator A5037518454 @default.
• W2292324131 creator A5077203379 @default.
• W2292324131 date "2016-10-26" @default.
• W2292324131 modified "2023-10-12" @default.
• W2292324131 title "Development and evaluation of a high-resolution reanalysis of the East Australian Current region using the Regional Ocean Modelling System (ROMS 3.4) and Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) data assimilation" @default.
• W2292324131 cites W1515064333 @default.
• W2292324131 cites W1573860137 @default.
• W2292324131 cites W1601773104 @default.
• W2292324131 cites W1608452541 @default.
• W2292324131 cites W1832089646 @default.
• W2292324131 cites W1964208519 @default.
• W2292324131 cites W1966981265 @default.
• W2292324131 cites W1970817452 @default.
• W2292324131 cites W1974549839 @default.
• W2292324131 cites W1977627991 @default.
• W2292324131 cites W1995698946 @default.
• W2292324131 cites W2000015772 @default.
• W2292324131 cites W2001089848 @default.
• W2292324131 cites W2002006886 @default.
• W2292324131 cites W2004270895 @default.
• W2292324131 cites W2008701408 @default.
• W2292324131 cites W2012407814 @default.
• W2292324131 cites W2014253435 @default.
• W2292324131 cites W2014643469 @default.
• W2292324131 cites W2017947535 @default.
• W2292324131 cites W2020418087 @default.
• W2292324131 cites W2038742869 @default.
• W2292324131 cites W2048712177 @default.
• W2292324131 cites W2051356878 @default.
• W2292324131 cites W2060787242 @default.
• W2292324131 cites W2072449747 @default.
• W2292324131 cites W2080871553 @default.
• W2292324131 cites W2087288125 @default.
• W2292324131 cites W2089093907 @default.
• W2292324131 cites W2092294382 @default.
• W2292324131 cites W2093262471 @default.
• W2292324131 cites W2097790278 @default.
• W2292324131 cites W2100986500 @default.
• W2292324131 cites W2102736913 @default.
• W2292324131 cites W2102901598 @default.
• W2292324131 cites W2103563724 @default.
• W2292324131 cites W2104345346 @default.
• W2292324131 cites W2108908683 @default.
• W2292324131 cites W2109985217 @default.
• W2292324131 cites W2116825962 @default.
• W2292324131 cites W2126981812 @default.
• W2292324131 cites W2132185159 @default.
• W2292324131 cites W2133773252 @default.
• W2292324131 cites W2144525542 @default.
• W2292324131 cites W2151268634 @default.
• W2292324131 cites W2163649185 @default.
• W2292324131 cites W2165035521 @default.
• W2292324131 cites W2166317254 @default.
• W2292324131 cites W2174234596 @default.
• W2292324131 cites W2235450697 @default.
• W2292324131 cites W2254089126 @default.
• W2292324131 cites W2275680255 @default.
• W2292324131 cites W3113468762 @default.
• W2292324131 cites W4239947938 @default.
• W2292324131 cites W4294570452 @default.
• W2292324131 doi "https://doi.org/10.5194/gmd-9-3779-2016" @default.
• W2292324131 hasPublicationYear "2016" @default.
• W2292324131 type Work @default.
• W2292324131 sameAs 2292324131 @default.
• W2292324131 citedByCount "44" @default.
• W2292324131 countsByYear W22923241312018 @default.
• W2292324131 countsByYear W22923241312019 @default.
• W2292324131 countsByYear W22923241312020 @default.
• W2292324131 countsByYear W22923241312021 @default.
• W2292324131 countsByYear W22923241312022 @default.
• W2292324131 countsByYear W22923241312023 @default.
• W2292324131 crossrefType "journal-article" @default.
• W2292324131 hasAuthorship W2292324131A5010478024 @default.
• W2292324131 hasAuthorship W2292324131A5037375915 @default.
• W2292324131 hasAuthorship W2292324131A5037518454 @default.
• W2292324131 hasAuthorship W2292324131A5077203379 @default.
• W2292324131 hasBestOaLocation W22923241311 @default.
• W2292324131 hasConcept C105795698 @default.
• W2292324131 hasConcept C111368507 @default.
• W2292324131 hasConcept C11413529 @default.
• W2292324131 hasConcept C121332964 @default.
• W2292324131 hasConcept C127313418 @default.
• W2292324131 hasConcept C132651083 @default.
• W2292324131 hasConcept C139945424 @default.
• W2292324131 hasConcept C141452985 @default.
• W2292324131 hasConcept C153294291 @default.
• W2292324131 hasConcept C155512373 @default.
• W2292324131 hasConcept C187599188 @default.
• W2292324131 hasConcept C197115733 @default.
• W2292324131 hasConcept C197640229 @default.
• W2292324131 hasConcept C24552861 @default.
• W2292324131 hasConcept C2781281996 @default.
• W2292324131 hasConcept C33923547 @default.
• W2292324131 hasConcept C39432304 @default.

• next