A Temporal Multiscale Analysis of the Waters off the East Coast of South Korea over the Past Four Decades

Jo, Young‐Heon; Breaker, Laurence C.; Tseng, Yu‐Heng; Yeh, Sang‐Wook

doi:10.3319/tao.2013.12.31.01(oc)

Cited by 13 publications

(7 citation statements)

References 45 publications

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“…In fact, the SST in the East Sea rapidly increased over several decades [7,8,40]. Recently, Jo et al [40] reported that the rate of the SST increase was 0.041˝C¨y´1 in the east coast of Korea, which was much faster than the global average (0.005˝C¨y´1). However, no substantial increased SST was observed in this study during our investigation period (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012), most likely because the observation period was not long enough to detect any small changes in the SST [13].…”

Section: Long-term Pattern Of the Annual Primary Production In The Eamentioning

confidence: 98%

“…An increased SST may have caused the increased stratification of the surface mixed layer and, consequently, reduced the entrainment of major nutrients into the upper euphotic layer [38,39]. In fact, the SST in the East Sea rapidly increased over several decades [7,8,40]. Recently, Jo et al [40] reported that the rate of the SST increase was 0.041˝C¨y´1 in the east coast of Korea, which was much faster than the global average (0.005˝C¨y´1).…”

Section: Long-term Pattern Of the Annual Primary Production In The Eamentioning

confidence: 99%

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Long-Term Pattern of Primary Productivity in the East/Japan Sea Based on Ocean Color Data Derived from MODIS-Aqua

et al. 2015

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Abstract:The East/Japan Sea (hereafter, the East Sea) is highly dynamic in its physical phenomena and biological characteristics, but it has changed substantially over the last several decades. In this study, a recent decadal trend of primary productivity in the East Sea was analyzed based on Moderate-Resolution Imaging Spectroradiometer (MODIS)-derived monthly values to detect any long-term change. The daily primary productivities averaged using monthly values from 2003 to 2012 were 719.7 mg¨C¨m´2¨d´1 (S.D.˘197.5 mg¨C¨m´2¨d´1, n = 120) and 632.3 mg¨C¨m´2¨d´1 (S.D.˘235.1 mg¨C¨m´2¨d´1, n = 120) for the southern and northern regions of the East Sea, respectively. Based on the daily productivities, the average annual primary production in the East Sea was 246.8 g¨C¨m´2¨y´1, which was substantially higher than that previously reported in deep oceans. However, a decreasing trend (13% per 10 years) in the annual primary production was observed in the East Sea within the study period from 2003 to 2012. The shallower mixed layers caused by increased temperature could be a potential cause for the decline in annual production. However, this decline could also be part of an oscillation pattern that is strongly governed by the Pacific Decadal Oscillation (PDO). A better understanding of primary productivity patterns and their subsequent effects on the marine ecosystem is required for further interdisciplinary studies in the East Sea.

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Section: Long-term Pattern Of the Annual Primary Production In The Eamentioning

confidence: 98%

Section: Long-term Pattern Of the Annual Primary Production In The Eamentioning

confidence: 99%

Long-Term Pattern of Primary Productivity in the East/Japan Sea Based on Ocean Color Data Derived from MODIS-Aqua

et al. 2015

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“…The method is based on the simple assumption that all data comprise different simple intrinsic oscillatory modes that have individual physical meanings (Lee 2013). EEMD is an improved version of EMD that resolves a problem with EMD: mode mixing (Wu & Huang 2004;Jo et al 2014). The EEMD method decomposes a time series into a finite number of IMFs) and a residual monotonic function through a sifting process (Huang et al 1998;Wu & Huang 2004;Franzke 2012).…”

Section: Eemdmentioning

confidence: 99%

Multi-temporal variation of the Ross Sea Polynya in response to climate forcings

Park

Kim

et al. 2018

Polar Research

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The multi-temporal scales of two physical characteristics (areas and occurrence time) of the Ross Sea Polynya (RSP) in Antarctica were analysed using a sea-ice concentration data set (1979-2014) derived from the Scanning Multichannel Microwave Radiometer, the Special Sensor Microwave Imager and Sensor Microwave Imager Sounder. Then, the Ensemble Empirical Mode Decomposition (EEMD) was applied to the data sets to decompose signals into finite numbers of intrinsic mode functions and a residual mode: long time trend. This approach allowed us to understand the long-term variability of the RSP area and occurrence in response to atmospheric forcing through teleconnections between low and high latitudes by comparing the Nino3.4 and Southern Annular Mode (SAM) indices. The nonlinear trend of the RSP areas derived from the EEMD residual had an upward trending shift in the early 1990s and was fairly consistent with the nonlinear trend of Nino3.4. However, the trend of RSP occurrence time progressively increased and had a significant effect on the long time scale. The trend of the RSP area is significantly correlated (+0.98) with the ratio of the trend of the meridional to zonal wind components related with the nonlinearity of Nino3.4, suggesting that meridional wind stress dominated the changes of the polynya area in the Ross Sea. In addition, the nonlinear trends between the SAM and RSP occurrence time show a strong positive correlation, contributing to the earlier onset of polynya expansion and delayed connection with the open ocean owing to enhanced southerly winds.

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“…The nutrient input into surface layer would be declined by a strong stratification, which makes a weak vertical mixing under ongoing climate change [28]. Recently, Jo et al [7] reported that the increasing SST in the east coast of Korea is much faster than the global average. Indeed, decreasing field-measured nitrate concentration was observed in the southwestern EJS (i.e., Ulleung Basin) over the recent decade from 2003 to 2012 [6], though we did not observe the decreasing trend in SSN concentration in the entire EJS.…”

Section: The Spatial and Temporal Variation Of Sea Suface Nitrate (Ssmentioning

confidence: 99%

“…Various changes in physical, chemical and biological properties have been reported in the East/Japan Sea (EJS) during last several decades [1][2][3][4][5][6][7][8]. Particularly, a dramatic change in the vertical distribution of the chemical properties and sea surface temperature of the winter and spring was observed in the southern EJS during the last few decades [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Annual New Production of Phytoplankton Estimated from MODIS-Derived Nitrate Concentration in the East/Japan Sea

et al. 2018

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Abstract:Our main objective in this study was to determine the inter-annual variation of the annual new production in the East/Japan Sea (EJS), which was estimated from MODIS-aqua satellite-derived sea surface nitrate (SSN). The new production was extracted from northern (>40 • N) and southern (>40 • N) part of EJS based on Sub Polar Front (SPF). Based on the SSN concentrations derived from satellite data, we found that the annual new production (Mean ± S.D = 85.6 ± 10.1 g C m −2 year −1 ) in the northern part of the EJS was significantly higher (t-test, p < 0.01) than that of the southern part of the EJS (Mean ± S.D = 65.6 ± 3.9 g C m −2 year −1 ). Given the relationships between the new productions and sea surface temperature (SST) in this study, the new production could be more susceptible in the northern part than the southern part of the EJS under consistent SST warming. Since the new production estimated in this study is only based on the nitrate inputs into the euphotic depths during the winter, new productions from additional nitrate sources (e.g., the nitrate upward flux through the MLD and atmospheric deposition) should be considered for estimating the annual new production.

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A Temporal Multiscale Analysis of the Waters off the East Coast of South Korea over the Past Four Decades

Cited by 13 publications

References 45 publications

Long-Term Pattern of Primary Productivity in the East/Japan Sea Based on Ocean Color Data Derived from MODIS-Aqua

Long-Term Pattern of Primary Productivity in the East/Japan Sea Based on Ocean Color Data Derived from MODIS-Aqua

Multi-temporal variation of the Ross Sea Polynya in response to climate forcings

Annual New Production of Phytoplankton Estimated from MODIS-Derived Nitrate Concentration in the East/Japan Sea

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