Using genetic algorithms to calibrate a dimethylsulfide production model in the Arctic ocean

Bo Qu; Albert J. Gabric

doi:10.1007/s00343-010-9062-x

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Using genetic algorithms to calibrate a dimethylsulfide production model in the Arctic ocean

Updated：2023-05-16

- Using genetic algorithms to calibrate a dimethylsulfide production model in the Arctic ocean
- Journal of Oceanology and Limnology Vol. 28, Issue 3, Pages: 573-582(2010)
- Affiliations：
  
  1. Nantong University
  2. Griffith University
- Author bio：
- Funds：
- DOI：10.1007/s00343-010-9062-x
  CLC：
- Online First：09 January 2010，
  
  Published：2010
- Accepted：
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Qu, B., Gabric, A.J. Using genetic algorithms to calibrate a dimethylsulfide production model in the Arctic ocean., Chin. J. Ocean. Limnol. 28, 573–582 (2010). https://doi.org/10.1007/s00343-010-9062-x
DOI：

Qu, B., Gabric, A.J. Using genetic algorithms to calibrate a dimethylsulfide production model in the Arctic ocean., Chin. J. Ocean. Limnol. 28, 573–582 (2010). https://doi.org/10.1007/s00343-010-9062-x DOI：

摘要

Abstract

The global climate is intimately connected to changes in the polar oceans. The variability of sea ice coverage affects deep-water formations and large-scale thermohaline circulation patterns. The polar radiative budget is sensitive to sea-ice loss and consequent surface albedo changes. Aerosols and polar cloud microphysics are crucial players in the radiative energy balance of the Arctic Ocean. The main biogenic source of sulfate aerosols to the atmosphere above remote seas is dimethylsulfide (DMS). Recent research suggests the flux of DMS to the Arctic atmosphere may change markedly under global warming. This paper describes climate data and DMS production (based on the five years from 1998 to 2002) in the region of the Barents Sea (30–35°E and 70–80°N). A DMS model is introduced together with an updated calibration method. A genetic algorithm is used to calibrate the chlorophyll-a (CHL) measurements (based on satellite SeaWiFS data) and DMS content (determined from cruise data collected in the Arctic). Significant interannual variation of the CHL amount leads to significant interannual variability in the observed and modeled production of DMS in the study region. Strong DMS production in 1998 could have been caused by a large amount of ice algae being released in the southern region. Forcings from a general circulation model (CSIRO Mk3) were applied to the calibrated DMS model to predict the zonal mean sea-to-air flux of DMS for contemporary and enhanced greenhouse conditions at 70–80°N. It was found that significantly decreasing ice coverage

increasing sea surface temperature and decreasing mixed-layer depth could lead to annual DMS flux increases of more than 100% by the time of equivalent CO2 tripling (the year 2080). This significant perturbation in the aerosol climate could have a large impact on the regional Arctic heat budget and consequences for global warming.

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references

Archer S D, Gilbert F J, Nightingale P D, Zubkov M V, Taylor A H, Smith G C, Burkill P H. 2002. Transformation of dimethylsulphoniopropionate to dimethyl sulphide during summer in the North Sea with an examination of key processes via a modelling approach. Deep-Sea Research Part I-Topical Studies in Oceanography, 49(15), 3 067–3 101.

Belviso A, Sciandra A, Copin-Montegut C. 2003. Mesoscale features of surface water DMSP and DMS concentrations in the Atlantic Ocean off Morocco and in the Mediterranean Sea. Deep Sea Research, Part I: Tropical Studies in Oceanography, 50: 543–555.

Charlson R J, Lovelock J E, Andreae M O, Warren S G. 1987. Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate. Nature, 326: 655–661.

Cropp R A. 2003. A biogeochemical modeling analysis of the potential for marine ecosystems to regulate climate by the production of dimethylsulphide, PhD thesis, School of Australian Environmental Studies, Griffith University: Brisbane. p. 280.

Dacey J W H, F A Howse, A F Michaels, Wakeham S G. 1998. Temporal variability of dimethylsulfide and simethylsulfoniopropionate in the Sargasso Sea. Deep-Sea Research I, 45: 2 085–2 104.

Erickson D J, Ghan S J, Penner J E. 1990. Global ocean-to-atmosphere dimethyl sulfide flux, J. Geophys. Res., 95(D6): 7 543–7 552.

Gabric A J, Murray N, Stone L, Kohl M. 1993. Modeling the Production of Dimethylsulfide During a Phytoplankton Bloom. Journal of Geophysical Research, 98(C12), 22 805–22 816.

Gabric A J, Ayers G P, Sander G C. 1995. Independent marine and atmospheric model estimates of the sea-air flux of dimethylsulfide in the Southern Ocean. Geophysical Research Letters, 22(24): 3 521–3 524.

Gabric A J, Whetton P H, Boers R, Ayers G P. 1998. The impact of simulated climate change on the sir-sea flux of dimethylsulphide in the subantarctic Southern Ocean. Tellus. 50B: 388–399.

Gabric A J, Matrai P A. 1999. Modeling the production and cycling of dimethylsulphide during the vernal bloom in the Barnents Sea. Tellus, 51B: 919–937.

Gabric A J, Whetton P, Cropp R. 2001. Dimethylsulphide production in the Subantarctic Southern Ocean under enhanced greenhouse conditions. Tellus, 53B: 273–287.

Gabric A J, Cropp R, Ayers G P, McTaubsh G, Braddock R. 2002. Couple between cycles of phytoplankton biomass and aerosol optical depth as derived from SeaWiFS time series in the Subantarctic Southern Ocean. Geophysical Research Letter, 29(7), (16–1)–(16–4).

Gabric A J, Cropp R, Hirst T, Marchant H. 2003. The sensitivity of dimethyl sulfide producion to simulated climate change in the Eastern Antarctic Southern Ocean. Tellus, 55B: 966–981.

Gabric A J, Qu B, Matrai P A, Hirst A C. 2005. The simulated response of dimethylsulphide production in the Arctic Ocean to global warming. Tellus, 57B, 391–403.

Gage D A, Phodes D, Nolte K D, Hicks W A, Leustek T, Cooper A J L, Hanson A D. 1997. A new routh for synthesis of dimethylsulphoniopropionate in marine algae. Nature, 387: 891–894.

Gordon H G, O’Farrell S P. 1997. Transient climate change in the CSIRO coupled model with dynamic sea ice. Mon. Weather Rev., 125: 875–907.

Holland, John H. 1975. Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor MI.

Holland M M, Bitz C M, Tremblay B. 2006, Future abrupt reductions in the summer Arctic sea ice, Geophys. Res. Lett., 33: L23503. doi:10.1029/2006GL028024.

Kettle A J, Andreae M O. 2000. Flux of dimethylsulfide from the ocean: A comparison of updated data sets and flux models. Journal of Geophysical Research. 105(D22): 26 793–26 808.

Kiene R P, Bates T S. 1990. Biological removal of dimethylsulphide from sea water. Nature, 345: 702–705.

Kirst G O, Thiel C, Wolff H, Nothnagel J, Wanzek M, Ulmke R. 1991. Dimethylsulfoniopropionate (Dmsp) in Ice-Algae and Its Possible Biological Role. Marine Chemistry, 35(1–4): 381–388.

Kloster S, Six K D, Feichter J. 2007. Response of dimethylsulfide (DMS) in the ocean and atmosphere to global warming, J. Geophys. Res., 112, G03005, doi:10.1029/2006JG000224.

Lawrence M G. 1993. An empirical analysis of the strength of the phytoplankton-dimethylsulfide-cloud-climate feedback cycle. Journal of Geophysical Research, 98: 20 663–20 673.

Leck C, Persson C. 1996. Seasonal and short-term variability in dimethyl sulfide sulfur dioxide and biogenic sulfur and sea salt aerosol particles in the arctic marine boundary layer during summer and autumn. Tellus, 48B: 272–299.

Leck C, Tjernström M, Matrai P, Swietlicki E, Bigg E K. 2004. Can Marine Micro-organisms Influence Melting of the Arctic pack Ice? Eos. Trans., AGU, 85(3): 25–36.

Levasseur M, Gosselin M, Michaud S. 1994. A new source of dimethylsulfide (DMS) for the Arctic atmosphere: ice diatoms. Mar. Biol., 121: 381–387.

Liss P S, Merlivat L. 1986. Air-sea gas exchange rates: Introduction and synthesis. In: The role of air-sea exchange in geochemical cycling, ed. P. Buat-Menard. Reidel, Hingham, MA. 113–127.

Lovelock J E, Maggs R J, Rasmussen R A. 1972. Atmospheric dimethylsulphide and the natural sulphur cycle. Nature, 237: 452–453.

Matrai P A, Vernet M. 1997. Dynamics of the vernal bloom in the marginal ice zone of the Barents Sea: Dimethylsulfide and dimethysulfoniopropionate budgets. Journal of Geophysical Research-Ocean, 102(C10), 22 965–22 979.

Moline M A, Karnovsky N J, Brown Z. 2008. High latitude changes in ice dynamics and their impact on polar marine ecosystems. Year in Ecology and Conservation Biology. 1 134: 267–319.

Moloney C L, Bergh M O, Field J G, Newell R C. 1986. The effect of sedimentation and microbial nitrogen regeneration in a plankton community: a simulation investigation. Journal of plankton research, 8(3), 427–445.

Qu B, Gabric A J, Matrai P A. 2006. The satellite-derived distribution of chlorophyll-a and its relation to ice cover, radiation and sea surface temperature in the Barents Sea. Polar Biology, 29: 196–210.

Serreze M C, Francis J A. 2006. The arctic amplification debate. Climatic Change, 76(3–4): 241–264.

Treffeisen R, Rinke A, Fortmann M. 2005. A case study of the radiative effects of Arctic aerosols in March 2000. Atmospheric Environment, 39(5), 899–911.

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