Use of remote sensing and mathematical modelling to predict the flux of dimethylsulfide to the atmosphere in the Southern Ocean

Gabric, Albert Jerome; Ayers, G. P.; Murray, C.N.; Parslow, John

doi:10.1016/0273-1177(95)00954-x

Cited by 24 publications

(17 citation statements)

References 27 publications

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“…The structure of the GMSK model has been previously detailed in Gabric et al (1993Gabric et al ( , 1996. The model considers eight state variables, three of which are abiotic: dissolved inorganic nitrogen (NO,), dissolved dimethylsulphonium propionate (DMSP) and dimethylsulphide (DMS).…”

Section: Model Structure and Assumptionsmentioning

confidence: 99%

“…The model, henceforth referred to as the GMSK model, has recently been extended to include seasonal variation in light, ocean temperature and wind speed (Gabric et al, 1996). The model has the aim of improving the understanding of the influence of the pelagic food web on DMS cycling and the relative importance of the various physical, chemical and ecological processes involved in DMS production and its ventilation to the atmosphere.…”

mentioning

confidence: 99%

“…The model is usually refered as the GMSK (Gabric-Murray-Stone-Kohl) model and it is described by Gabric et al (1993Gabric et al ( ,1996.The aim of the experiment is to quantify the relative importance of some pre-selected input factors in determining the predicted value of a model state variable: the DMS annual flux.The method is based on an experimental plan, composed of individually randomised one-factor-at-a-time designs, with the purpose of collecting random samples from the distribution of "elementary effects", denoted by Fi, associated with each input parameter.A large (absolute) measure of central tendency for F i indicates an input with an overall influence on the output. A large standard deviation indicates an input whose influence is highly dependent on the values of the other inputs -i.e., one involved in interactions or whose effect is nonlinear.…”

mentioning

confidence: 99%

“…The model is usually refered as the GMSK (Gabric-Murray-Stone-Kohl) model and it is described by Gabric et al (1993Gabric et al ( ,1996.…”

mentioning

confidence: 99%

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The parametric sensitivity of dimethylsulfide flux in the southern ocean

Campolongo¹,

Gabric²

1997

Journal of Statistical Computation and Simulation

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A screening method proposed by Morris has been applied to a model of the oceanic production of dimethylsulfide (DMS), an important sulphur-containing gas which plays an important role in climate regulation. The model is usually refered as the GMSK (Gabric-Murray-Stone-Kohl) model and it is described by Gabric et al. (1993Gabric et al. ( ,1996.The aim of the experiment is to quantify the relative importance of some pre-selected input factors in determining the predicted value of a model state variable: the DMS annual flux.The method is based on an experimental plan, composed of individually randomised one-factor-at-a-time designs, with the purpose of collecting random samples from the distribution of "elementary effects", denoted by Fi, associated with each input parameter.A large (absolute) measure of central tendency for F i indicates an input with an overall influence on the output. A large standard deviation indicates an input whose influence is highly dependent on the values of the other inputs -i.e., one involved in interactions or whose effect is nonlinear. In particular, estimates of the means and standard deviations of these distributions will be used as indicators of which inputs should be considered important.Five of the total number of factors involved in the GMSK model have been examined. The selected factors are: the maximum nitrate uptake by phytoplankton (k23 in the model), the algal S:N (sulphur to nitrogen) ratio (gamma in the model), the parameter involved in the link phytoplankton-protozoa (k3), the initial mixed layer nitrogen concentration (DIN), and the sea surface temperature (SST). The experimental results show that none of the parameters studied has both mean and standard deviation close to zero, that is they all have a direct or indirect effect on the output, confirming that the DMS flux prediction is indeed sensitive to these parameters.

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Section: Model Structure and Assumptionsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

“…The model is usually refered as the GMSK (Gabric-Murray-Stone-Kohl) model and it is described by Gabric et al (1993Gabric et al ( ,1996.…”

mentioning

confidence: 99%

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The parametric sensitivity of dimethylsulfide flux in the southern ocean

Campolongo¹,

Gabric²

1997

Journal of Statistical Computation and Simulation

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“…Chl-a/MLD < 0.02 (2a) 해양에서 대기로의 전달속도 k w (식 (1))는 일반적으로 해상 10 m에서의 풍속(w)인 해상풍(SSW)과 분자확산도 (Schimidt number, Sc) 자료를 이용하여 산출된다 (Liss and Merlivat 1986;Wanninkhof 1992;Gabric et al 1995Gabric et al , 1996. 분자확산도 Sc는 해수면 온도 SST를 이용 하여 계산된다 (Saltzman et al 1993).…”

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Estimations and Long-term Trend of Sea-to-air Dimethyl Sulfide (DMS) Flux using Satellite Observation Data

Choi¹,

Keen²,

Han³

et al. 2017

Ocean and Polar Research

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: The long-term linear trend of global sea-to-air dimethyl sulfide (DMS) flux was analyzed over a 16-year time span (2000~2015), based on satellite observation data. The emission rates of DMS (i.e. DMS flux) in the global ocean were estimated from sea surface DMS concentrations, which were constructed with chlorophyll a (Chl-a) concentrations and mixed layer depths (MLD), and transfer velocity from sea to air, which was parameterized with sea surface wind (SSW) and sea surface temperature (SST). In general, the DMS flux in the global ocean exhibited a gradual decreasing pattern from 2000 (a total of 12.1 Tg/yr) to 2015 (10.7 Tg/yr). For the latitude band (10 o interval between 0 o and 60 o ), the DMS flux at the low latitude of the Northern (NH) and Southern hemisphere (SH) was significantly higher than that at the middle latitude. The seasonal mean DMS flux was highest in winter followed by in summer in both hemispheres. From the longterm analysis with the Mann-Kendall (MK) statistical test, a clear downward trend of DMS flux was predicted to be broad over the global ocean during the study period (NH: −0.001~−0.036 µmol/m 2 /day per year, SH: −0.011~−0.051 µmol/m 2 /day per year). These trend values were statistically significant (p < 0.05) for most of the latitude bands. The magnitude of the downward trend of DMS flux at the low latitude in the NH was somewhat higher than that at the middle latitude during most seasons, and vice versa for the SH. The spatio-temporal characteristics of DMS flux and its long-term trend were likely to be primarily affected not only by the SSW (high positive correlation of r = 0.687) but also in part by the SST (r = 0.685).

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