Articles | Volume 14, issue 5
https://doi.org/10.5194/os-14-1303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-14-1303-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Physical modulation to the biological productivity in the summer Vietnam upwelling system
Wenfang Lu
Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education & National Engineering Research Centre of Geo-spatial Information Technology, Fuzhou University, Fuzhou, China
State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
Center for Remote Sensing, College of Earth, Ocean and Environment, University of Delaware, Newark, DE, USA
Joint Institute for Coastal Research and Management, University of Delaware/Xiamen University, Newark/Xiamen, USA/China
Lie-Yauw Oey
Graduate Institute of Hydrological & Oceanic Sciences, National Central University, Jhongli City, Taoyuan, Taiwan
Program in Atmospheric & Oceanic Sciences, Princeton University, Princeton, NJ, USA
Enhui Liao
Geosciences Department, Princeton University, Princeton, NJ, USA
Wei Zhuang
State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
Joint Institute for Coastal Research and Management, University of Delaware/Xiamen University, Newark/Xiamen, USA/China
Xiao-Hai Yan
Center for Remote Sensing, College of Earth, Ocean and Environment, University of Delaware, Newark, DE, USA
Joint Institute for Coastal Research and Management, University of Delaware/Xiamen University, Newark/Xiamen, USA/China
Yuwu Jiang
CORRESPONDING AUTHOR
State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
Joint Institute for Coastal Research and Management, University of Delaware/Xiamen University, Newark/Xiamen, USA/China
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Cited articles
Atlas, R., Hoffman, R. N., Ardizzone, J., Leidner, S. M., Jusem, J. C.,
Smith, D. K., and Gombos, D.: A cross-calibrated, multiplatform ocean surface
wind velocity product for meteorological and oceanographic applications, B.
Am. Meteorol. Soc., 92, 157–174, 2011.
Bakun, A.: Coastal upwelling indices, west coast of North America, 1946–71,
US Dept. Commerce NOAA Tech. Rep. National Marine Fishery Service (NMFS) –
Special Scientific Report –Fisheries (SSRF), Seattle, WA, USA, 1–103, 1973.
Bakun, A.: Patterns in the ocean: ocean processes and marine population
dynamics, California Sea Grant, in cooperation with Centro de
Investigaciones Biologicas del Noroeste, La Paz, Mexico, 1996.
Banzon, V., Smith, T. M., Chin, T. M., Liu, C., and Hankins, W.: A long-term
record of blended satellite and in situ sea-surface temperature for climate
monitoring, modeling and environmental studies, Earth Syst. Sci. Data, 8,
165–176, https://doi.org/10.5194/essd-8-165-2016, 2016.
Batchelor, G. K.: An Introduction to Fluid Dynamics, Cambridge University
Press, New York, UK, 1967.
Behrenfeld, M. J. and Falkowski, P. G.: Photosynthetic rates derived from
satellite-based chlorophyll concentration, Limnol. Oceanogr., 42, 1–20,
1997.
Bombar, D., Dippner, J. W., Doan, H. N., Ngoc, L. N., Liskow, I.,
Loick-Wilde, N., and Voss, M.: Sources of new nitrogen in the Vietnamese
upwelling region of the South China Sea, J. Geophys. Res., 115, C06018,
https://doi.org/10.1029/2008jc005154, 2010.
Bombar, D., Moisander, P. H., Dippner, J. W., Foster, R. A., Voss, M.,
Karfeld, B., and Zehr, J. P.: Distribution of diazotrophic microorganisms and
nifH gene expression in the Mekong River plume during intermonsoon, Mar.
Ecol. Prog. Ser., 424, 39–52, 2011.
Bryan, F. O., Hecht, M. W., and Smith, R. D.: Resolution convergence and
sensitivity studies with North Atlantic circulation models. Part I: The
western boundary current system, Ocean Model., 16, 141–159, 2007.
Chai, F., Liu, G., Xue, H., Shi, L., Chao, Y., Tseng, C.-M., Chou, W.-C., and
Liu, K.-K.: Seasonal and interannual variability of carbon cycle in South
China Sea: A three-dimensional physical-biogeochemical modeling study, J.
Oceanogr., 65, 703–720, 2009.
Chassignet, E. P. and Marshall, D. P.: Gulf Stream separation in numerical
ocean models, in: Ocean Modeling in an Eddying Regime, edited by: Hecht, M.
W. and Hasumi, H., AGU, Washington, D.C., Geophys. Monogr. Ser., 177, 39–61,
2008.
Chen, G., Xiu, P., and Chai, F.: Physical and biological controls on the
summer chlorophyll bloom to the east of Vietnam, J. Oceanogr., 70, 323–328,
2014.
Chen, Z., Yan, X.-H., Jo, Y.-H., Jiang, L., and Jiang, Y.: A study of
Benguela upwelling system using different upwelling indices derived from
remotely sensed data, Cont. Shelf Res., 45, 27–33, 2012.
Cushing, D.: Upwelling and fish production, FAO Fish. Tech. Pap, Food and
Agriculture Organization of the United Nations, Rome, Italy, 84, 40, 1969.
Dai, A., Qian, T., Trenberth, K. E., and Milliman, J. D.: Changes in
continental freshwater discharge from 1948 to 2004, J. Climate, 22,
2773–2792, 2009.
Dippner, J. W., Nguyen, K. V., Hein, H., Ohde, T., and Loick, N.:
Monsoon-induced upwelling off the Vietnamese coast, Ocean Dynam., 57, 46–62,
2007.
Dippner, J. W., Bombar, D., Loick-Wilde, N., Voss, M., and Subramaniam, A.:
Comment on “Current separation and upwelling over the southeast shelf of
Vietnam in the South China Sea” by Chen et al., J. Geophys. Res.-Oceans,
118, 1618–1623, 2013.
Doan-Nhu, H., Lam, N.-N., and Dippner, J. W.: Development of Phaeocystis
globosa blooms in the upwelling waters of the South Central coast of Viet
Nam, J. Marine Syst., 83, 253–261, 2010.
Ekman, V. W.: On the influence of the earth's rotation on ocean-currents,
Arkiv. Mat. Astron. Fys., 211, 1–52, 1905.
Gan, J. and Qu, T.: Coastal jet separation and associated flow variability in
the southwest South China Sea, Deep-Sea Res. Pt. I, 55, 1–19, 2008.
Gan, J., Cheung, A., Guo, X., and Li, L.: Intensified upwelling over a
widened shelf in the northeastern South China Sea, J. Geophys. Res., 114,
C09019, https://doi.org/10.1029/2007jc004660, 2009.
Gill, A. E.: Atmosphere-ocean dynamics, Academic press, San Diego, CA, USA,
1982.
Griffies, S. M. and Hallberg, R. W.: Biharmonic Friction with a
Smagorinsky-Like Viscosity for Use in Large-Scale Eddy-Permitting Ocean
Models, Mon. Weather Rev., 128, 2935–2946, 2000.
Gruber, N., Lachkar, Z., Frenzel, H., Marchesiello, P., Munnich, M.,
McWilliams, J. C., Nagai, T., and Plattner, G.-K.: Eddy-induced reduction of
biological production in eastern boundary upwelling systems, Nat. Geosci., 4,
787–792, 2011.
Guo, M., Chai, F., Xiu, P., Li, S., and Rao, S.: Impacts of mesoscale eddies
in the South China Sea on biogeochemical cycles, Ocean Dynam., 65,
1335–1352, https://doi.org/10.1007/s10236-015-0867-1, 2015.
Haidvogel, D. B., McWilliams, J. C., and Gent, P. R.: Boundary Current
Separation in a Quasigeostrophic, Eddy-resolving Ocean Circulation Model, J.
Phys. Oceanogr., 22, 882–902, 1992.
Hein, H., Hein, B., Pohlmann, T., and Long, B. H.: Inter-annual variability
of upwelling off the South-Vietnamese coast and its relation to nutrient
dynamics, Global Planet. Change, 110, 170–182, 2013.
Isoguchi, O. and Kawamura, H.: MJO-related summer cooling and phytoplankton
blooms in the South China Sea in recent years, Geophys. Res. Lett., 33,
L16615, https://doi.org/10.1029/2006gl027046, 2006.
Jiang, Y. W., Chai, F., Wan, Z. W., Zhang, X., and Hong, H. S.:
Characteristics and mechanisms of the upwelling in the southern Taiwan
Strait: a three-dimensional numerical model study, J. Oceanogr., 67,
699–708, 2011.
Jiao, N., Zhang, Y., Zhou, K., Li, Q., Dai, M., Liu, J., Guo, J., and Huang,
B.: Revisiting the CO2 “source” problem in upwelling areas – a
comparative study on eddy upwellings in the South China Sea, Biogeosciences,
11, 2465–2475, https://doi.org/10.5194/bg-11-2465-2014, 2014.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., and Woollen, J.: The NCEP/NCAR 40-year
reanalysis project, B. Am. Meteorol. Soc., 77, 437–471, 1996.
Kuo, N.-J., Zheng, Q., and Ho, C.-R.: Satellite observation of upwelling
along the western coast of the South China Sea, Remote Sens. Environ., 74,
463–470, 2000.
Kuo, N.-J., Zheng, Q., and Ho, C.-R.: Response of Vietnam coastal upwelling
to the 1997–1998 ENSO event observed by multisensor data, Remote Sens.
Environ., 89, 106–115, 2004.
Large, W. G., McWilliams, J. C., and Doney, S. C.: Oceanic vertical mixing: A
review and a model with a nonlocal boundary layer parameterization, Rev.
Geophys., 32, 363–404, 1994.
Li, Q. P., Wang, Y., Dong, Y., and Gan, J.: Modeling long-term change of
planktonic ecosystems in the northern South China Sea and the upstream
Kuroshio Current, J. Geophys. Res.-Oceans, 120, 3913–3936, 2015.
Liao, E., Jiang, Y., Li, L., Hong, H., and Yan, X.: The cause of the 2008
cold disaster in the Taiwan Strait, Ocean Model., 62, 1–10,
https://doi.org/10.1016/j.ocemod.2012.11.004, 2013.
Lin, X., Yan, X.-H., Jiang, Y., and Zhang, Z.: Performance assessment for an
operational ocean model of the Taiwan Strait, Ocean Model., 102, 27–44,
2016.
Liu, G. and Chai, F.: Seasonal and interannual variability of primary and
export production in the South China Sea: a three-dimensional
physical-biogeochemical model study, ICES J. Mar. Sci., 66, 420–431, 2009.
Liu, K.-K., Chao, S. Y., Shaw, P. T., Gong, G. C., Chen, C. C., and Tang, T.
Y.: Monsoon-forced chlorophyll distribution and primary production in the
South China Sea: observations and a numerical study, Deep-Sea Res. Pt. I, 49,
1387–1412, 2002.
Liu, K.-K., Atkinson, L., Quinones, R., and Talaue-McManus, L.:
Biogeochemistry of Continental Margins in a Global Context, in: Carbon and
nutrient fluxes in continental margins: a global synthesis, edited by: Liu,
K.-K., Atkinson, L., Quiñones, R., and Talaue-McManus, L., Global Change
– The IGBP Series, Springer, Berlin Heidelberg, Germany, 3–24, 2010.
Liu, W. T., Katsaros, K. B., and Businger, J. A.: Bulk parameterization of
air-sea exchanges of heat and water vapor including the molecular constraints
at the interface, J. Atmos. Sci., 36, 1722–1735, 1979.
Liu, X., Wang, J., Cheng, X., and Du, Y.: Abnormal upwelling and
chlorophyll-aconcentration off South Vietnam in summer 2007, J. Geophys. Res.
Oceans, 117, C07021, https://doi.org/10.1029/2012jc008052, 2012.
Loick-Wilde, N., Bombar, D., Doan, H. N., Nguyen, L. N., Nguyen-Thi, A. M.,
Voss, M., and Dippner, J. W.: Microplankton biomass and diversity in the
Vietnamese upwelling area during SW monsoon under normal conditions and after
an ENSO event, Prog. Oceanogr., 153, 1–15, 2017.
Loisel, H., Vantrepotte, V., Ouillon, S., Ngoc, D. D., Herrmann, M., Tran,
V., Mériaux, X., Dessailly, D., Jamet, C., Duhaut, T., Nguyen, H. H., and
Van Nguyen, T.: Assessment and analysis of the chlorophyll-a concentration
variability over the Vietnamese coastal waters from the MERIS ocean color
sensor (2002–2012), Remote Sens. Environ., 190, 217–232, 2017.
Lu, W., Yan, X.-H., and Jiang, Y.: Winter bloom and associated upwelling
northwest of the Luzon Island: A coupled physical-biological modeling
approach, J. Geophys. Res.-Oceans, 120, 533–546, 2015.
Lu, W., Yan, X.-H., Han, L., and Jiang, Y.: One-dimensional ocean model with
three types of vertical velocities: a case study in the South China Sea,
Ocean Dynam., 67, 253–262, https://doi.org/10.1007/s10236-016-1029-9, 2017.
Lu, W., Luo, Y.-W., Yan, X., and Jiang, Y.: Modeling the Contribution of the
Microbial Carbon Pump to Carbon Sequestration in the South China Sea, Sci.
China Earth Sci., 61, 1–11, https://doi.org/10.1007/s11430-017-9180-y, 2018.
Ma, W., Chai, F., Xiu, P., Xue, H., and Tian, J.: Modeling the long-term
variability of phytoplankton functional groups and primary productivity in
the South China Sea, J. Oceanogr., 69, 527–544, 2013.
Ma, W., Chai, F., Xiu, P., Xue, H., and Tian, J.: Simulation of export
production and biological pump structure in the South China Sea, Geo-Mar.
Lett., 34, 541–554, 2014.
Marshall, D. P. and Tansley, C. E.: An Implicit Formula for Boundary Current
Separation, J. Phys. Oceanogr., 31, 1633–1638, 2001.
Mittelstaedt, E.: Upwelling regions, Landoldt-Börnstein, New Series, 3,
135–166, 1986.
Nagai, T., Gruber, N., Frenzel, H., Lachkar, Z., McWilliams, J. C., and
Plattner, G. K.: Dominant role of eddies and filaments in the offshore
transport of carbon and nutrients in the California Current System, J.
Geophys. Res.-Oceans, 120, 5318–5341, 2015.
NASA/GSFC/NOAA: Cross-Calibrated Multi-Platform Ocean Surface Wind Vector
L3.0 First-Look Analyses, Ver. 1, PO.DAAC, CA, USA,
https://doi.org/10.5067/CCF30-01XXX, 2009.
Ning, X., Chai, F., Xue, H., Cai, Y., Liu, C., and Shi, J.:
Physical-biological oceanographic coupling influencing phytoplankton and
primary production in the South China Sea, J. Geophys. Res.-Oceans, 109,
C10005, https://doi.org/10.1029/2004jc002365, 2004.
O'Brien, J. J. and Hurlburt, H.: A numerical model of coastal upwelling, J.
Phys. Oceanogr., 2, 14–26, 1972.
Oey, L.-Y., Chang, Y.-L., Lin, Y.-C., Chang, M.-C., Varlamov, S., and
Miyazawa, Y.: Cross flows in the Taiwan Strait in winter, J. Phys. Oceanogr.,
44, 801–817, 2014.
Pelegrí, J. L., Arístegui, J., Cana, L., González-Dávila,
M., Hernández-Guerra, A., Hernández-León, S., Marrero-Díaz,
A., Montero, M. F., Sangrà, P., and Santana-Casiano, M.: Coupling between
the open ocean and the coastal upwelling region off northwest Africa: water
recirculation and offshore pumping of organic matter, J. Marine Syst., 54,
3–37, 2005.
Shchepetkin, A. and McWilliams, J.: The regional oceanic modeling system
(ROMS): a split-explicit, free-surface, topography-following-coordinate
oceanic model, Ocean Model., 9, 347–404, 2005.
Steemann-Nielsen, E. and Jensen, E. A.: Primary oceanic production,
Autotrophic Prod. Organic Matter Oceans, 1, 49–135, 1957.
Tang, D. L., Kawamura, H., Doan-Nhu, H., and Takahashi, W.: Remote sensing
oceanography of a harmful algal bloom off the coast of southeastern Vietnam,
J. Geophys. Res.-Oceans, 109, C03014, https://doi.org/10.1029/2003jc002045, 2004.
Voss, M., Bombar, D., Loick, N., and Dippner, J. W.: Riverine influence on
nitrogen fixation in the upwelling region off Vietnam, South China Sea,
Geophys. Res. Lett., 33, L07604, https://doi.org/10.1029/2005gl025569, 2006.
Wang, G., Chen, D., and Su, J.: Generation and life cycle of the dipole in
the South China Sea summer circulation, J. Geophys. Res., 111, C06002,
https://doi.org/10.1029/2005jc003314, 2006.
Wang, J., Hong, H., Jiang, Y., Chai, F., and Yan, X.-H.: Summer nitrogenous
nutrient transport and its fate in the Taiwan Strait: A coupled
physical-biological modeling approach, J. Geophys. Res.-Oceans, 118,
4184–4200, 2013.
Wang, J., Hong, H., and Jiang, Y.: A coupled physical–biological modeling
study of the offshore phytoplankton bloom in the Taiwan Strait in winter, J.
Sea Res., 107, 12–24, 2016.
Wong, G. T. F., Ku, T. L., Mulholland, M., Tseng, C. M., and Wang, D. P.: The
SouthEast Asian time-series study (SEATS) and the biogeochemistry of the
South China Sea – An overview, Deep-Sea Res. Pt. II, 54, 1434–1447, 2007.
Wyrtki, K.: Physical Oceanography of the Southeast Asian waters, in:
Scientific Results of Marine Investigations of the South China Sea and the
Gulf of Thailand 1959–1961, NAGA report, vol. 2, Scripps Institution of
Oceanography, UC San Diego, La Jolla, CA, USA, 1961.
Xie, S. P., Xie, Q., Wang, D., and Liu, W. T.: Summer upwelling in the South
China Sea and its role in regional climate variations, J. Geophys.
Res.-Oceans, 108, 3261, https://doi.org/10.1029/2003JC001867, 2003.
Xie, S.-P., Hu, K., Hafner, J., Tokinaga, H., Du, Y., Huang, G., and Sampe,
T.: Indian Ocean capacitor effect on Indo-western Pacific climate during the
summer following El Niño, J. Climate, 22, 730–747, 2009.
Xiu, P. and Chai, F.: Connections between physical, optical and
biogeochemical processes in the Pacific Ocean, Prog. Oceanogr., 122, 30–53,
2014.
Xu, X., Qiu, Z., and Chen, H.: The general descriptions of the horizontal
circulation in the South China Sea, in: Proceedings of the Symposium of the
Chinese Society of Marine Hydrology and Meteorology, Chinese Society of
Oceanology and Limno, Science Press, Beijing, China, 137–145, 1982.
Yang, H. and Wu, L.: Trends of upper-layer circulation in the South China Sea
during 1959–2008, J. Geophys. Res.-Oceans, 117, C08037,
https://doi.org/10.1029/2012jc008068, 2012.
Yoshida, K. and Mao, H.-L.: A theory of upwelling of large horizontal extent,
J. Marine Syst., 16, 40–54, 1957.
Short summary
In this study, we investigate the physical factors controlling the biological production in a coastal upwelling system, the Vietnam boundary upwelling system in the South China Sea. We found that, in addition to the effects from the wind (as a major factor driving the ocean), the ocean circulation could also contribute positively to the production here, which is distinct from other major coastal upwelling systems.
In this study, we investigate the physical factors controlling the biological production in a...