Reconstruction of sea surface dimethylsulfide in the North Pacific during 1970s to 2000s

Watanabe, Yutaka; Yoshinari, Hiroshi; Sakamoto, Ai; Nakano, Yoshiyuki; Kasamatsu, Nobue; Midorikawa, Takashi; Ono, Tsuneo

doi:10.1016/j.marchem.2006.10.004

Cited by 16 publications

(23 citation statements)

References 37 publications

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“…Biochemical parameters were used to reconstruct DMS concentrations at the ocean surface as Simó and Dachs [],

DMS = - ln (normalMLD) + 5.7 (Chl / MLD < 0.02)

= 55.8 \cdot (Chl / MLD) + 0.6 (Chl / MLD \geq 0.02),

and as Watanabe et al . [],

ln DMS = 0.06346 ·SST - 0.1210 ·SSN - 14.11 \cdot cos (L) - 6.278,

where MLD is the mixed layer depth (m), Chl is the chlorophyll a concentration (µg L −1 ), SST is the sea surface temperature (K), SSN is sea surface nitrate (μM), and L is the latitude (°N). Hereafter, these algorithms are referred to as SD02 and W07, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…[4] Global climatologies have been reported based on data sets of observed DMS concentrations and modelreconstructed fields of surface DMS concentrations and fluxes to the atmosphere [Kettle et al, 1999;Lana et al, 2011]. Thus, much attention has been paid to describing DMS concentration in the ocean during the past decade [Simó and Dachs, 2002;Vallina and Simó, 2007;Watanabe et al, 2007;Miles et al, 2012]. The solar radiation dose (SRD) is generally believed to be one of the important factors that regulate DMS distributions in the sea surface [Vallina and Simó, 2007], and the relationship between SRDs and DMS concentrations is widely used in climate models to infer the impacts of DMS on climate change [Le Clainche et al, 2010].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Strong relationship between dimethyl sulfide and net community production in the western subarctic Pacific

Kameyama

Tanimoto

Inomata

et al. 2013

Geophysical Research Letters

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Although much attention has been paid to describing the distribution of oceanic dimethyl sulfide (DMS) concentrations, establishing robust relationships between DMS concentrations and biological, physical, and chemical variables is still challenging. Previous studies have proposed semiempirical parameterizations by combining multiple physical and biogeochemical parameters to better understand and reproduce the global distribution of sea surface DMS. However, none of these parameterization schemes could reconcile regionally elevated DMS peaks found in high‐resolution DMS measurements made in the western subarctic Pacific. Here we found that DMS concentrations are highly correlated with the net community production, a parameter that integrates biological activity over time. We anticipate that this relationship may be exportable to other regions with high primary productivity, such as the Southern Ocean or upwelling regions, and can be used as an important parameterization scheme, combined with solar radiation dose relationship.

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“…Biochemical parameters were used to reconstruct DMS concentrations at the ocean surface as Simó and Dachs [],

DMS = - ln (normalMLD) + 5.7 (Chl / MLD < 0.02)

= 55.8 \cdot (Chl / MLD) + 0.6 (Chl / MLD \geq 0.02),

and as Watanabe et al . [],

ln DMS = 0.06346 ·SST - 0.1210 ·SSN - 14.11 \cdot cos (L) - 6.278,

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strong relationship between dimethyl sulfide and net community production in the western subarctic Pacific

Kameyama

Tanimoto

Inomata

et al. 2013

Geophysical Research Letters

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“…Although previous simulation of surface water DMS presented relative high R 2 , e.g., R 2 = 0.68~0.84 by using the MLD and Chl a [Simó and Dachs, 2002], R 2 = 0.676 by using the NCP [Kameyama et al, 2013], and R 2 = 0.63 by using SST, surface seawater nitrate and latitude [Watanabe et al, 2007], they were never tested in polar regions, such as SO SIZ. In addition, the comparison of seven different DMS climatologies, i.e., Kettle et al [1999], Kettle and Andreae [2000], Anderson et al [2001], Aumont et al [2002], Simó and Dachs [2002], Chu et al [2003], and Belviso et al [2004a], provided that the uncertainty in quantifying the global distritbuion of surface seawater DMS could up to 100% in the high latitudes [Belviso et al, 2004b].…”

Section: Relationships Between Dms and Pcomentioning

confidence: 95%

Characteristics of the surface water DMS and pCO₂ distributions and their relationships in the Southern Ocean, southeast Indian Ocean, and northwest Pacific Ocean

Zhang

Marandino

Chen

et al. 2017

Global Biogeochemical Cycles

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Oceanic dimethyl sulfide (DMS) is of interest due to its critical influence on atmospheric sulfur compounds in the marine atmosphere and its hypothesized significant role in global climate. High‐resolution shipboard underway measurements of surface seawater DMS and the partial pressure of carbon dioxide (pCO2) were conducted in the Atlantic Ocean and Indian Ocean sectors of the Southern Ocean (SO), the southeast Indian Ocean, and the northwest Pacific Ocean from February to April 2014 during the 30th Chinese Antarctic Research Expedition. The SO, particularly in the region south of 58°S, had the highest mean surface seawater DMS concentration of 4.1 ± 8.3 nM (ranged from 0.1 to 73.2 nM) and lowest mean seawater pCO2 level of 337 ± 50 μatm (ranged from 221 to 411 μatm) over the entire cruise. Significant variations of surface seawater DMS and pCO2 in the seasonal ice zone (SIZ) of SO were observed, which are mainly controlled by biological process and sea ice activity. We found a significant negative relationship between DMS and pCO2 in the SO SIZ using 0.1° resolution, [DMS] seawater = −0.160 [pCO2] seawater + 61.3 (r2 = 0.594, n = 924, p < 0.001). We anticipate that the relationship may possibly be utilized to reconstruct the surface seawater DMS climatology in the SO SIZ. Further studies are necessary to improve the universality of this approach.

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“…In order to achieve global [109] , [110] , [111] , [112] , [113] , [114] , [115] or regional [116] estimates of F DMS , several empirical relationships have been derived from DMS field data and variables such Chl a , NO 3 − , T, primary production, solar radiation, or mixed layer depth that can be derived at higher spatial and temporal resolution from climatologies, remote sensing or models. We tested if some of these empirical relationships that are assumed universal and generic were applicable to the SNS that is representative of a temperate eutrophied coastal system.…”

Section: Discussionmentioning

confidence: 99%

The Dimethylsulfide Cycle in the Eutrophied Southern North Sea: A Model Study Integrating Phytoplankton and Bacterial Processes

et al. 2014

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We developed a module describing the dimethylsulfoniopropionate (DMSP) and dimethylsulfide (DMS) dynamics, including biological transformations by phytoplankton and bacteria, and physico-chemical processes (including DMS air-sea exchange). This module was integrated in the MIRO ecological model and applied in a 0D frame in the Southern North Sea (SNS). The DMS(P) module is built on parameterizations derived from available knowledge on DMS(P) sources, transformations and sinks, and provides an explicit representation of bacterial activity in contrast to most of existing models that only include phytoplankton process (and abiotic transformations). The model is tested in a highly productive coastal ecosystem (the Belgian coastal zone, BCZ) dominated by diatoms and the Haptophyceae Phaeocystis, respectively low and high DMSP producers. On an annual basis, the particulate DMSP (DMSPp) production simulated in 1989 is mainly related to Phaeocystis colonies (78%) rather than diatoms (13%) and nanoflagellates (9%). Accordingly, sensitivity analysis shows that the model responds more to changes in the sulfur:carbon (S:C) quota and lyase yield of Phaeocystis. DMS originates equally from phytoplankton and bacterial DMSP-lyase activity and only 3% of the DMS is emitted to the atmosphere. Model analysis demonstrates the sensitivity of DMS emission towards the atmosphere to the description and parameterization of biological processes emphasizing the need of adequately representing in models both phytoplankton and bacterial processes affecting DMS(P) dynamics. This is particularly important in eutrophied coastal environments such as the SNS dominated by high non-diatom blooms and where empirical models developed from data-sets biased towards open ocean conditions do not satisfactorily predict the timing and amplitude of the DMS seasonal cycle. In order to predict future feedbacks of DMS emissions on climate, it is needed to account for hotspots of DMS emissions from coastal environments that, if eutrophied, are dominated not only by diatoms.

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Reconstruction of sea surface dimethylsulfide in the North Pacific during 1970s to 2000s

Abstract: We proposed an empirical equation of sea surface dimethylsulfide (DMS, nM) using sea surface temperature (SST, K), sea surface nitrate (SSN, µM) and latitude (L,

Cited by 16 publications

References 37 publications

Strong relationship between dimethyl sulfide and net community production in the western subarctic Pacific

Strong relationship between dimethyl sulfide and net community production in the western subarctic Pacific

Characteristics of the surface water DMS and pCO₂ distributions and their relationships in the Southern Ocean, southeast Indian Ocean, and northwest Pacific Ocean

The Dimethylsulfide Cycle in the Eutrophied Southern North Sea: A Model Study Integrating Phytoplankton and Bacterial Processes

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Reconstruction of sea surface dimethylsulfide in the North Pacific during 1970s to 2000s

Abstract: We proposed an empirical equation of sea surface dimethylsulfide (DMS, nM) using sea surface temperature (SST, K), sea surface nitrate (SSN, µM) and latitude (L,

Cited by 16 publications

References 37 publications

Strong relationship between dimethyl sulfide and net community production in the western subarctic Pacific

Strong relationship between dimethyl sulfide and net community production in the western subarctic Pacific

Characteristics of the surface water DMS and pCO2 distributions and their relationships in the Southern Ocean, southeast Indian Ocean, and northwest Pacific Ocean

The Dimethylsulfide Cycle in the Eutrophied Southern North Sea: A Model Study Integrating Phytoplankton and Bacterial Processes

Contact Info

Product

Resources

About

Characteristics of the surface water DMS and pCO₂ distributions and their relationships in the Southern Ocean, southeast Indian Ocean, and northwest Pacific Ocean