IMIS - Marine Onderzoeksgroepen | Compendium Kust en Zee

IMIS - Marine Onderzoeksgroepen

[ meld een fout in dit record ]mandje (1): toevoegen | toon Print deze pagina

one publication added to basket [322845]
Analysis of surface chlorophyll a associated with sea surface temperature and surface wind in the South China Sea
Huynh, H.-N.T.; Alvera-Azcárate, A.; Beckers, J.-M. (2020). Analysis of surface chlorophyll a associated with sea surface temperature and surface wind in the South China Sea. Ocean Dynamics 70(1): 139-161. https://dx.doi.org/10.1007/s10236-019-01308-9
In: Ocean Dynamics. Springer-Verlag: Berlin; Heidelberg; New York. ISSN 1616-7341; e-ISSN 1616-7228, meer
Peer reviewed article  

Beschikbaar in  Auteurs 

Trefwoord
    Marien/Kust
Author keywords
    Chlorophyll a; Sea surface temperature; Monsoon; ENSO; South China Sea;DINEOF

Auteurs  Top 
  • Huynh, H.-N.T., meer
  • Alvera-Azcárate, A., meer
  • Beckers, J.-M., meer

Abstract
    In this study, the spatial and temporal variability in surface chlorophyll a (Chl-a) in the whole South China Sea (SCS) was investigated in detail by using 8-day, 4-km, gap-free MODIS-A data (2003–2016). Monthly climatology and empirical-orthogonal-functions analysis of Chl-a were performed in association with sea surface temperature and surface wind to aid in better understanding the physical mechanisms responsible for the Chl-a variability. The results are as follows: (1) Chl-a has out-of-phase variability between the coastal and open-sea regions due to different major factors controlling phytoplankton growth in each region; (2) in particular, Chl-a increases in the northern SCS during winter and in the western and southwestern SCS during summer mainly due to the effects of monsoons and orography; and (3) wind-driven coastal upwelling is stronger in the western SCS than in the eastern SCS. A wind-induced coastal upwelling not reported in the literature was detected along Palawan Island (8–12∘N, 117–120∘E) during winter. In the SCS, the Chl-a variability is influenced by the El Niño–Southern Oscillation with a time lag of 4–9 months, depending on the variability scales.

Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs