2012
DOI: 10.1029/2011jc007302
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Application of a data‐assimilation model to variability of Pacific sardine spawning and survivor habitats with ENSO in the California Current System

Abstract: The Pacific sardine (Sardinops sagax) showed significant differences in spawning habitat area, spawning habitat quality and availability of survivor habitat as the Pacific Ocean went through the La Niña state in April 2002 to a weak El Niño in April 2003. During another El Niño/Southern Oscillation transition period in 2006–2007 when the El Niño state retreated and the La Niña returned, a similar pattern in spawning habitat quality was seen. The coupling between the atmospheric forcing, the physical ocean stat… Show more

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Cited by 42 publications
(33 citation statements)
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“…In 2002 stations with high PC1 scores (i.e., oceanic species) clustered in the southwest portion of the sample domain. In addition, stations west of the shelf in the northern part of the CalCOFI domain contained coastal species, suggesting offshelf transport in 2002, a pattern also identified for S. sagax in spring of that year [13]. In 2003, by contrast, oceanic species impinged upon the shelf and into the CCA together with warmer water.…”
Section: Discussionmentioning
confidence: 82%
See 1 more Smart Citation
“…In 2002 stations with high PC1 scores (i.e., oceanic species) clustered in the southwest portion of the sample domain. In addition, stations west of the shelf in the northern part of the CalCOFI domain contained coastal species, suggesting offshelf transport in 2002, a pattern also identified for S. sagax in spring of that year [13]. In 2003, by contrast, oceanic species impinged upon the shelf and into the CCA together with warmer water.…”
Section: Discussionmentioning
confidence: 82%
“…This study occurred during a transition from La Niña (2002) to El Niño (2003, 2004) conditions [13] which enabled us to assess how fluctuating ocean conditions affected within- and between-year assemblage structure at both spatial scales.…”
Section: Introductionmentioning
confidence: 99%
“…To further investigate and quantify the export flux from subduction, we used a dynamically consistent, data-assimilating ROMS model (29,30). Consistent with observational interpretations, modeled vertical velocities confirmed relatively strong subduction over most of E-Front during transect 1 and weak upwelling during transect 2 (Fig.…”
Section: Resultsmentioning
confidence: 92%
“…We then calculated flux using the equations J = [POC] × w or J = [ΔTOC] × w, where J is flux (milligrams C per square meter per day) and w is the vertical velocity (meters per day) derived from a dynamically consistent data-assimilative model. Data assimilation was conducted within the ROMS with a 9-km grid resolution using a four-dimensional variational approach that repeatedly adjusted initial and boundary conditions to minimize the mismatch between the model and physical measurements (e.g., temperature, salinity) measured on our cruise (30).…”
Section: Methodsmentioning
confidence: 99%
“…The reductions by fitting the observations are 52%, 47%, and 55% for 2006, 2007, and 2008 cruises, respectively. For detailed information, readers are referred to Song et al () and Miller et al ().…”
Section: Model Descriptionmentioning
confidence: 99%