Predictability of Seawater DMS During the North Atlantic Aerosol and Marine Ecosystem Study (NAAMES)

被引:16
作者
Bell, Thomas G. [1 ,2 ]
Porter, Jack G. [2 ]
Wang, Wei-Lei [2 ]
Lawler, Michael J. [2 ]
Boss, Emmanuel [3 ]
Behrenfeld, Michael J. [4 ]
Saltzman, Eric S. [2 ]
机构
[1] Plymouth Marine Lab, Plymouth, Devon, England
[2] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA
[3] Univ Maine, Sch Marine Sci, Orono, ME 04469 USA
[4] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA
关键词
dimethylsulfide; North Atlantic; marine aerosol; DMS; artificial neural network; DIMETHYLSULFONIOPROPIONATE DMSP; DIMETHYLSULFIDE DMS; OCEANIC PHYTOPLANKTON; CLOUD ALBEDO; SEA-SURFACE; CLIMATOLOGY; ALGORITHM; SULFUR; BLOOM;
D O I
10.3389/fmars.2020.596763
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work presents an overview of a unique set of surface ocean dimethylsulfide (DMS) measurements from four shipboard field campaigns conducted during the North Atlantic Aerosol and Marine Ecosystem Study (NAAMES) project. Variations in surface seawater DMS are discussed in relation to biological and physical observations. Results are considered at a range of timescales (seasons to days) and spatial scales (regional to sub-mesoscale). Elevated DMS concentrations are generally associated with greater biological productivity, although chlorophyll a (Chl) only explains a small fraction of the DMS variability (15%). Physical factors that determine the location of oceanic temperature fronts and depth of vertical mixing have an important influence on seawater DMS concentrations during all seasons. The interplay of biomass and physics influences DMS concentrations at regional/seasonal scales and at smaller spatial and shorter temporal scales. Seawater DMS measurements are compared with the global seawater DMS climatology and predictions made using a recently published algorithm and by a neural network model. The climatology is successful at capturing the seasonal progression in average seawater DMS, but does not reproduce the shorter spatial/temporal scale variability. The input terms common to the algorithm and neural network approaches are biological (Chl) and physical (mixed layer depth, photosynthetically active radiation, seawater temperature). Both models predict the seasonal North Atlantic average seawater DMS trends better than the climatology. However, DMS concentrations tend to be under-predicted and the episodic occurrence of higher DMS concentrations is poorly predicted. The choice of climatological seawater DMS product makes a substantial impact on the estimated DMS flux into the North Atlantic atmosphere. These results suggest that additional input terms are needed to improve the predictive capability of current state-of-the-art approaches to estimating seawater DMS.
引用
收藏
页数:20
相关论文
共 47 条
  • [1] Baith K., 2001, Eos, Transactions, American Geophysical Union, V82, P202, DOI [DOI 10.1029/01EO00109, DOI 10.1029/01E000109]
  • [2] The North Atlantic Aerosol and Marine Ecosystem Study (NAAMES): Science Motive and Mission Overview
    Behrenfeld, Michael J.
    Moore, Richard H.
    Hostetler, Chris A.
    Graff, Jason
    Gaube, Peter
    Russell, Lynn M.
    Chen, Gao
    Doney, Scott C.
    Giovannoni, Stephen
    Liu, Hongyu
    Proctor, Christopher
    Bolalios, Luis M.
    Baetge, Nicholas
    Davie-Martin, Cleo
    Westberry, Toby K.
    Bates, Timothy S.
    Bell, Thomas G.
    Bidle, Kay D.
    Boss, Emmanuel S.
    Brooks, Sarah D.
    Cairns, Brian
    Carlson, Craig
    Halsey, Kimberly
    Harvey, Elizabeth L.
    Hu, Chuanmin
    Karp-Boss, Lee
    Kleb, Mary
    Menden-Deuer, Susanne
    Morison, Francoise
    Quinn, Patricia K.
    Scarino, Amy Jo
    Anderson, Bruce
    Chowdhary, Jacek
    Crosbie, Ewan
    Ferrare, Richard
    Haire, Johnathan W.
    Hu, Yongxiang
    Janz, Scott
    Redemann, Jens
    Saltzman, Eric
    Shook, Michael
    Siegel, David A.
    Wisthaler, Armin
    Martine, Melissa Yang
    Ziemba, Luke
    [J]. FRONTIERS IN MARINE SCIENCE, 2019, 6
  • [3] Student's tutorial on bloom hypotheses in the context of phytoplankton annual cycles
    Behrenfeld, Michael J.
    Boss, Emmanuel S.
    [J]. GLOBAL CHANGE BIOLOGY, 2018, 24 (01) : 55 - 77
  • [4] Resurrecting the Ecological Underpinnings of Ocean Plankton Blooms
    Behrenfeld, Michael J.
    Boss, Emmanuel S.
    [J]. ANNUAL REVIEW OF MARINE SCIENCE, VOL 6, 2014, 6 : 167 - U208
  • [5] Global oceanic DMS data inter-comparability
    Bell, T. G.
    Malin, G.
    Lee, G. A.
    Stefels, J.
    Archer, S.
    Steinke, M.
    Matrai, P.
    [J]. BIOGEOCHEMISTRY, 2012, 110 (1-3) : 147 - 161
  • [6] Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development
    Bracher, Astrid
    Bouman, Heather A.
    Brewin, Robert J. W.
    Bricaud, Annick
    Brotas, Vanda
    Ciotti, Aurea M.
    Clementson, Lesley
    Devred, Emmanuel
    Di Cicco, Annalisa
    Dutkiewicz, Stephanie
    Hardman-Mountford, Nick J.
    Hickman, Anna E.
    Hieronymi, Martin
    Hirata, Takafumi
    Losa, Svetlana N.
    Mouw, Colleen B.
    Organelli, Emanuele
    Raitsos, Dionysios E.
    Uitz, Julia
    Vogt, Meike
    Wolanin, Aleksandra
    [J]. FRONTIERS IN MARINE SCIENCE, 2017, 4
  • [7] Large contribution of natural aerosols to uncertainty in indirect forcing
    Carslaw, K. S.
    Lee, L. A.
    Reddington, C. L.
    Pringle, K. J.
    Rap, A.
    Forster, P. M.
    Mann, G. W.
    Spracklen, D. V.
    Woodhouse, M. T.
    Regayre, L. A.
    Pierce, J. R.
    [J]. NATURE, 2013, 503 (7474) : 67 - +
  • [8] OCEANIC PHYTOPLANKTON, ATMOSPHERIC SULFUR, CLOUD ALBEDO AND CLIMATE
    CHARLSON, RJ
    LOVELOCK, JE
    ANDREAE, MO
    WARREN, SG
    [J]. NATURE, 1987, 326 (6114) : 655 - 661
  • [9] Overview of (Sub)mesoscale Ocean Dynamics for the NAAMES Field Program
    Della Penna, Alice
    Gaube, Peter
    [J]. FRONTIERS IN MARINE SCIENCE, 2019, 6
  • [10] Implementation of the Coupled Ocean-Atmosphere Response Experiment flux algorithm with CO2, dimethyl sulfide, and O3
    Fairall, C. W.
    Yang, Mingxi
    Bariteau, Ludovic
    Edson, J. B.
    Helmig, D.
    McGillis, W.
    Pezoa, S.
    Hare, J. E.
    Huebert, B.
    Blomquist, B.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2011, 116