Exploring thermocline and water masses variability in southern South China Sea from the World Ocean Database (WOD)

Study about water characteristics (temperature and salinity) from the World Ocean Database (WOD) was conducted in the area of southern South China Sea (SSCS), covering the area of 0°–10°N, 100°–117°E. From interannual analysis, upper layer (10 m) and deep water temperature (50 m) increased from 1951 until 2014. Monthly averaged show that May recorded the highest upper layer temperature while January recorded the lowest. It was different for the deep water which recorded the highest value in September and lowest in February. Contour plot for upper layer temperature in the study area shows presence of thermal front of cold water at southern part of Vietnam tip especially during peak northeast season (December–January). The appearances of warm water were obviously seen during generating southwest monsoon (May–June). Thermocline study revealed the deepest isothermal layer depth (ILD) during peak northeast and southwest monsoon. Temperature threshold at shallow area reach more than 0.8°C during the transitional period. Water mass study described T-S profile based on particular region. Water mass during the southwest monsoon is typically well mixed compared to other seasons while strong separation according to location is very clear. During transitional period between northeast monsoon to southwest monsoon, the increasing of water temperature can be seen at Continental Shelf Water (CSW) which tend to be higher than 29°C and vice versa condition during transitional period between southwest monsoon to northeast monsoon. Dispersion of T-S profile can be seen during southwest monsoon inside Tropical Surface Water (TSW) where the salinity and temperature become higher than during northeast monsoon.

[1]  Nasir Saadon,et al.  Physical Characteristics of Watermass in the South China Sea , Area II : Sarawak , Sabah and Brunei Darussalam Waters , 2000 .

[2]  T. Yanagi,et al.  Seasonal Variation of Stratification in the Gulf of Thailand , 2001 .

[3]  Yan Du,et al.  Mean seasonal cycle of isothermal depth in the South China Sea , 2007 .

[4]  A AbdMuhaimin,et al.  Water Mass Characteristics in the Strait of Malacca using Ocean Data View , 2011 .

[5]  Zelina Zaiton Ibrahim,et al.  Water mass characteristics in the Strait of Malacca using ocean data view. , 2011 .

[6]  M. Akhir Surface circulation and temperature distribution of Southern South China Sea from Global Ocean Model (OCCAM) , 2012 .

[7]  M. Marghany Intermonsoon water mass characteristics along coastal waters off Kuala Terengganu, Malaysia , 2012 .

[8]  B. Pradhan,et al.  Seasonal variability of chlorophyll-a and oceanographic conditions in Sabah waters in relation to Asian monsoon—a remote sensing study , 2013, Environmental Monitoring and Assessment.

[9]  M. Akhir,et al.  THE CHARACTERISTICS AND ORIGIN OF WATER MASSES ALONG THE SABAH COAST , 2013 .

[10]  M. Akhir,et al.  Variations of Southern South China Sea characteristics near Pahang , 2014 .

[11]  A. Samah,et al.  Dynamical structure of the sea off the east coast of Peninsular Malaysia , 2014, Ocean Dynamics.

[12]  F. Tangang,et al.  Intermonsoon Variation of Physical Characteristics and Current Circulation along the East Coast of Peninsular Malaysia , 2014 .

[13]  A. Mishonov,et al.  Oceanography north of 60°N from World Ocean Database , 2015 .

[14]  F. Tangang,et al.  Evidence of Upwelling along Peninsular Malaysia during Southwest Monsoon , 2015 .

[15]  F. Tangang,et al.  Water Mass Characteristics and Stratification at the Shallow Sunda Shelf of Southern South China Sea , 2015 .

[16]  D. Seidov,et al.  The role of the Atlantic Water in multidecadal ocean variability in the Nordic and Barents Seas , 2015 .

[17]  F. Tangang,et al.  Thermal frontal zone along the east coast of Peninsular Malaysia , 2015 .

[18]  Rongyu Chen,et al.  SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 , 2016, Scientific Data.

[19]  F. Qiao,et al.  The modification of water column conditions in the Gulf of Thailand by the influences of the South China Sea and monsoonal winds , 2016 .

[20]  Azlan Mohd Zain,et al.  MULTI OBJECTIVE MACHINING ESTIMATION MODEL USING ORTHOGONAL AND NEURAL NETWORK , 2016 .

[21]  M. Akhir,et al.  COASTAL UPWELLING AT TERENGGANU AND PAHANG COASTAL WATERS: INTERACTION OF HYDROGRAPHY, CURRENT CIRCULATION AND PHYTOPLANKTON BIOMASS , 2016 .

[22]  Tahereh Haghroosta,et al.  Typhoon activity and some important parameters in the South China Sea , 2017 .