Untitled

Yanagi, Tetsuo; Onitsuka, Goh; Hirose, Nobuyoshi; Yoon, John Hwan

doi:10.1023/a:1021691221793

Cited by 17 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The spring phytoplankton bloom occurred during April and May in the southern and northern parts of the Sea of Japan, respectively ( Figure 5). This result was consistent with earlier numerical modeling results assimilated by using satellite derived SST and sea surface height (Onitsuka & Yanagi, 2005;Yanagi et al, 2001).…”

Section: Features Of Sschl a Variationsupporting

confidence: 93%

“…In the Sea of Japan (the Japan Sea, Figure 1), which is a semiclosed marginal sea of the western North Pacific, where seasonal phytoplankton blooms occur (a major spring and minor autumn blooms) (Kim, Saitoh, Ishizaka, Isoda, & Kishino, 2000;Kim, Yoo, & Oh, 2007;Onitsuka & Yanagi, 2005;Onitsuka, Yanagi, & Yoon, 2007;Park, Kang, Kim, & Park, 2014;Yamada, Ishizaka, Yoo, Kim, & Chiba, 2004;Yanagi, Onitsuka, Hirose, & Yoon, 2001), the Japanese sardine stock displays a high level of temporal variation (Figure 2).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Improvement in recruitment of Japanese sardine with delays of the spring phytoplankton bloom in the Sea of Japan

Kodama

Wagawa

Ohshimo

et al. 2018

Fisheries Oceanography

View full text Add to dashboard Cite

To evaluate the impact of temporal variation of primary productivity on the recruitment of Japanese sardine (Sardinops melanostictus) in the Sea of Japan, the phenology of sea surface phytoplankton abundance was estimated from 8 day multiple satellite (SeaWiFS, MODIS‐Aqua, MERIS, and VIIRS) derived sea surface chlorophyll (SSChl) a concentrations from January 1998 to December 2015. Because relationships between SSChl a and in situ chlorophyll a concentrations were significantly different among periods based on the satellite combinations used, maximum and minimum SSChl a concentrations of 1 year were relativized as 1 and 0, respectively. Spatio‐temporal variation of relativized SSChl a concentrations was determined by using empirical orthogonal function (EOF) analysis. Scores in the first EOF mode denoted the basin‐scale variations of SSChl a concentrations in the Sea of Japan, and the major peak from the end of February to the end of May displayed the spring bloom. The logarithm of recruitment per spawner (LNRPS) for sardine was positively affected by delays in the start and end dates of the spring phytoplankton bloom. The delay of the date of the lowest sea surface temperature contributed to the delay of the end of the spring bloom during the period 1998–2015 and elevated the LNRPS during the period 1982–2015. Sardine spawns in the southern Sea of Japan from April to May, hence, delays of the spring bloom prolonged its overlap with sardine larval periods, and thus improved the recruitment of Japanese sardine in the Sea of Japan.

show abstract

Section: Features Of Sschl a Variationsupporting

confidence: 93%

mentioning

confidence: 99%

Improvement in recruitment of Japanese sardine with delays of the spring phytoplankton bloom in the Sea of Japan

Kodama

Wagawa

Ohshimo

et al. 2018

Fisheries Oceanography

View full text Add to dashboard Cite

show abstract

“…As mentioned by Yamada et al (2004) and Onitsuka et al (2007), onset of the spring phytoplankton bloom is observed near the subarctic front (a thermohaline front at 388-398N) in the Sea of Japan during April, and thereafter the bloom moves northward until midMay. According to a hydrodynamic and ecosystem coupled model experiment (Yanagi et al 2001), it is believed that the northward migration of the spring bloom in the Sea of Japan results mainly from a combination of the SST increase and depletion of dissolved inorganic nitrogen. The present study focused on atmospheric and oceanic responses triggered by this spring phytoplankton bloom during April through May.…”

Section: Introductionmentioning

confidence: 99%

Synoptic-Scale Atmospheric Motions Modulated by Spring Phytoplankton Bloom in the Sea of Japan

2014

View full text Add to dashboard Cite

Atmospheric responses to biological heating caused by the spring phytoplankton bloom in the Sea of Japan are investigated. Sea surface temperature (SST) is first computed using a mixed-layer model with an ocean reanalysis product. Satellite-derived surface chlorophyll concentrations representing phytoplankton population are input to an equation for attenuation coefficients of solar radiation penetrating the mixed layer. Two sets of SST are obtained by this model, using the attenuation coefficients with and without phytoplankton. It is found that the phytoplankton bloom increases SST by up to 0.88C by mid-May, especially in the northern Sea of Japan. Thereafter, two experiments using a regional atmospheric numerical model are conducted for April and May. One imposes SST synthesized by multiple satellite observations on the lower boundary of the model (the green case). The satellite-derived SST includes influences of biological heating by phytoplankton in the actual ocean. The other uses SST reduced by differences between SSTs computed by the mixed-layer model with and without phytoplankton (the blue case). Under modest wind conditions, extratropical cyclones east and south of the Japan Islands in the blue case develop more rapidly than in the green case. Cyclones are likely initiated by the cool and dry air mass that enhances lower-level baroclinicity above oceanic fronts. This cool and dry air mass is transported from the Sea of Japan, where SST decreases in the absence of phytoplankton. Therefore, incorporating ocean biology is potentially capable of improving regional atmospheric and ocean general circulation models.

show abstract

“…To effectively monitor water quality and protect water resources, researchers have used many different methods to conduct experimental research, including spatial statistics (Anttila, Kairesalo, & Pellikka, 2008), remote sensing inversion (Chen, Quan, et al, 2013;Xu et al, 2009) and hydrodynamic simulation based on monitoring data (Buranapratheprat, Yanagi, Niemann, Matsumura, & Sojisuporn, 2008;Ganju et al, 2016). One method that has become popular is hydrodynamic simulation, the results of which can be used to describe the multidimensional spatiotemporal distribution characteristics of chlorophyll a and the corresponding dynamic evolution process (Buranapratheprat et al, 2008;Cao et al, 2019;Ganju et al, 2016;Jiang, Liang, Xia, & Hou, 2021;Yanagi, Onitsuka, Hirose, & Yoon, 2001). However, due to the complicated hydrodynamic conditions and growth/extinction mechanism of chlorophyll a, it is difficult to obtain all the parameters required by the hydrodynamic models.…”

mentioning

confidence: 99%

Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

Guo

Yang

Zhang

et al. 2021

Transactions in GIS

View full text Add to dashboard Cite

Chlorophyll a concentration is an important parameter for the characterization of water quality and reflects the degree of eutrophication and the algae content in water bodies. Based on the idea of integrating models, data and visualization to build virtual geographic environments (VGEs), this article proposes a data assimilation scheme based on particle filters to assimilate the concentration of chlorophyll a in a VGE. The VGE is based on a modular concept to design function plugins and perform water quality assimilation simulations and GIS visualization. We conducted assimilation experiments using buoy observation data and forecast chlorophyll a concentrations. During the assimilation stage, the root mean square error and average relative error are notably reduced. The assimilation results indicate that the proposed data assimilation method can significantly improve accuracy in the prediction of chlorophyll a concentrations. An assimilation case study indicates that the VGE can be effectively used in water environment pollution and dynamic process simulations.

show abstract

Untitled

Cited by 17 publications

References 15 publications

Improvement in recruitment of Japanese sardine with delays of the spring phytoplankton bloom in the Sea of Japan

Improvement in recruitment of Japanese sardine with delays of the spring phytoplankton bloom in the Sea of Japan

Synoptic-Scale Atmospheric Motions Modulated by Spring Phytoplankton Bloom in the Sea of Japan

Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

Contact Info

Product

Resources

About