A Global Eddy-Resolving Coupled Physical-Biological Model: Physical                 Influences on a Marine Ecosystem in the North Pacific

Sasai, Yoshikazu; Ishida, Akio; Sasaki, Hideharu; Kawahara, Shintaro; Uehara, Hiroki; Yamanaka, Yasuhiro

doi:10.1177/0037549706068943

Cited by 23 publications

(27 citation statements)

References 17 publications

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“…To determine the underlying processes behind the MLD-phytoplankton relationship, we used the output of an eddy-resolving coupled physical−biological model (Sasai et al 2006(Sasai et al , 2010 for the period from 2001 to 2007. The physical model is the ocean general circulation model for the earth simulator (OFES) (Masumoto et al 2004, Sasaki et al 2008, which is based on the Geophysical Fluid Dynamics Laboratory's modular ocean model (MOM3) (Pacanowski & Griffies 2000).…”

Section: Eddy-resolving Coupled Physical−biological Modelmentioning

confidence: 99%

“…The evolution of any biological tracer concentration is governed by an advection−diffusion equation with source and sink terms. The source and sink terms represent the ecosystem dynamics (Sasai et al 2006(Sasai et al , 2010. The phytoplankton growth rate depends on the light intensity, nitrate concentration and temperature (Eppley 1972).…”

Section: Eddy-resolving Coupled Physical−biological Modelmentioning

confidence: 99%

“…Since hydro graphy, nutrients and, thus, phytoplankton change considerably across the Kuroshio axis and are influenced by various com plicated processes, such as horizontal and vertical advections and mixing as well as nitrate fixation, nitrification and atmospheric deposition, accurate determinations of nutrients and phytoplankton are quite difficult to achieve. Furthermore, since this global coupled physical−biological model considers each bio-geochemical parameter as spatially uniform rather than spatially variable depending on the location in the Kuroshio region (Sasai et al 2006(Sasai et al , 2010, it is difficult to accurately reproduce all of the variables in this complicated region.…”

Section: Eddy-resolving Coupled Physical−biological Modelmentioning

confidence: 99%

“…The time change rate of vertically uni- ( 1) where P is the phytoplankton averaged in the mixed layer and d/dt is the Lagrangian time derivative following the particle surface velocity. The natural mortality term consists of the specific mortality (or recycling) rate (from phytoplankton to nitrate) and the quadratic mortality rate (from phytoplankton to detritus) (Sasai et al 2006(Sasai et al , 2010. Underestimation of primary production in the standard NPZD model is resolved by adding a rapid recycling path from simulated phytoplankton back to the nitrate compartment.…”

Section: Phytoplankton and Nitrate Balance Analysis In The Ecosystem mentioning

confidence: 99%

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Winter mixed layer depth and spring bloom along the Kuroshio front: implications for the Japanese sardine stock

Nishikawa

Yasuda²,

Komatsu³

et al. 2013

Mar. Ecol. Prog. Ser.

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Recruitment of Japanese sardine Sardinops melanostictus is related to interannual variability in the winter mixed layer depth (MLD) near the Kuroshio axis (line of maximum current), possible because MLD may influence the feeding environment of sardine larvae through phytoplankton productivity. However, a relationship between the winter MLD and phytoplankton productivity has not been shown. Particle release experiments with quasi-observed current fields from ocean reanalysis products and satellite-observed phytoplankton (chlorophyll a) density from 1998 to 2006 showed that deeper waters of the winter mixed layer flowing 0° to 0.5° north of the Kuroshio axis led to a greater bloom in the subsequent spring, although such a relationship was not detected south of the Kuroshio axis. By using the output of a 3-dimensional, high-resolution lower trophic level ecosystem model that reproduced the MLD−phytoplankton relationship, we found that entrainment of deeper nutrient-rich subsurface water leads to abundant nutrients in the early spring and enhances the subsequent spring bloom along the northern side of the Kuroshio axis. On the southern side, where mode water develops in winter, the deeper winter mixed layer does not necessarily contain higher nutrient contents, because nutrient vertical profiles often have inversions. These results support the hypothesis that sardine larvae that are distributed in the deeper winter mixed layer north of the Kuroshio axis (called the Kuroshio frontal zone) encounter a higher phytoplankton density, which yields favorable feeding conditions, resulting in recruitment success.

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Section: Eddy-resolving Coupled Physical−biological Modelmentioning

confidence: 99%

Section: Eddy-resolving Coupled Physical−biological Modelmentioning

confidence: 99%

Section: Eddy-resolving Coupled Physical−biological Modelmentioning

confidence: 99%

Section: Phytoplankton and Nitrate Balance Analysis In The Ecosystem mentioning

confidence: 99%

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Winter mixed layer depth and spring bloom along the Kuroshio front: implications for the Japanese sardine stock

Nishikawa

Yasuda²,

Komatsu³

et al. 2013

Mar. Ecol. Prog. Ser.

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“…1950-1997 (Sasai et al, 2004;Sasai et al, 2005b) (Sasai et al, 2005a;Sasai et al, 2006;Sasai et al, 2007a;2007b) 1.3.2. (Masumoto et al, 2004) 1-6 3 1 km The Earth Simulator Center ( 1-9)…”

Section: Ncep (National Centers For Environmentalunclassified

The Earth Simulator Center

Watanabe¹,

Ohfuchi²,

Kageyama³

et al. 2009

JAMSTEC Rep. Res. Dev.

Self Cite

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The operation of the Earth Simulator started in March, 2002, and 7 years have passed. For these years, the Earth Simulator has been used by not only researchers of JAMSTEC but also many researchers of the domestic and international institutions, and many remarkable results have been made. The Earth Simulator Center was established at the same time as the birth of the Earth Simulator. The researchers of the Earth Simulator Center have also developed new simulation technologies.The simulation is the only one method by which we can predict the future scientifically. Therefore, it has the important role in the science as well as the technology which can contribute to the life of the people, and has the important meaning in modeling the future of the human beings. The Earth Simulator Center OFES (Ocean General CirculationModel for the Earth Simulator, Masumoto et al., 2004;, 2006; Ohfuchi et al., 2007;Sasaki et al., 2007;, 2008) et al. 1998a, 1998b, 1998c Boyer et al., 1998a Boyer et al., , 1998b Boyer et al., ,1998c , ( 1-9)1.3.5. OFES OFESThe Earth Simulator Center 1984-1996) minus pre-shift (1968-1980) difference in OFES SSH (color shade in cm). Unfiltered OFES SSH averaged for both periods is superposed with black contours (at intervals of 10 cm). ( 1-11) 2.2.1. ES , 46%The Earth Simulator Center 2.6The Earth Simulator Center 3.2The Earth Simulator Center The Earth Simulator Center The Earth Simulator Center . The Earth Simulator Center SMP MPI 4-1. 4 CAVE BRAVE 4-6 ( 4-7)The Earth Simulator Center 4-14The Earth Simulator Center 5. 5.1.Knudsen ( 5-2 2The Earth Simulator Center The Earth Simulator Center The Earth Simulator Center . 6-8. . 6-6, 6-7 80 . 6.3.2. 6-

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Impact of Ocean Physics on Marine Ecosystems in the Kuroshio and Kuroshio Extension Regions

et al. 2019

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A Global Eddy-Resolving Coupled Physical-Biological Model: Physical Influences on a Marine Ecosystem in the North Pacific

Cited by 23 publications

References 17 publications

Winter mixed layer depth and spring bloom along the Kuroshio front: implications for the Japanese sardine stock

Winter mixed layer depth and spring bloom along the Kuroshio front: implications for the Japanese sardine stock

The Earth Simulator Center

Impact of Ocean Physics on Marine Ecosystems in the Kuroshio and Kuroshio Extension Regions

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