scholarly journals Surface Chlorophyll-a Concentration Spatio-Temporal Variations in the Northern South China Sea Detected Using MODIS Data

2015 ◽  
Vol 26 (3) ◽  
pp. 319
Author(s):  
Meihong Fang ◽  
Weimin Ju ◽  
Xiangnan Liu ◽  
Zhifeng Yu ◽  
Feng Qiu
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Northern South China Sea ◽  
Temporal Variations ◽  
Chlorophyll A Concentration ◽  
China Sea ◽  
Modis Data ◽  
Spatio Temporal

Spatio-temporal variations in the siphonophore community of the northern South China Sea

2013 ◽  
Vol 31 (2) ◽  
pp. 312-326 ◽  
Author(s):  
Kaizhi Li ◽  
Jianqiang Yin ◽  
Liangmin Huang ◽  
Shumin Lian ◽  
Jianlin Zhang
Keyword(s):  
South China Sea ◽  
South China ◽  
Northern South China Sea ◽  
Temporal Variations ◽  
China Sea ◽  
Spatio Temporal

Seasonal Variations of Chlorophyll $a$ Concentration in the Northern South China Sea

2008 ◽  
Vol 5 (2) ◽  
pp. 315-319 ◽  
Author(s):  
Suhung Shen ◽  
G.G. Leptoukh ◽  
J.G. Acker ◽  
Zuojun Yu ◽  
S.J. Kempler
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Seasonal Variations ◽  
Northern South China Sea ◽  
Chlorophyll A Concentration ◽  
China Sea

Comparison of summer chlorophyll a concentration in the South China Sea and the Arabian Sea using remote sensing data

2017 ◽  
Vol 36 (11) ◽  
pp. 61-67
Author(s):  
Jinglong Yao ◽  
Lei Yang ◽  
Yeqiang Shu ◽  
Lili Zeng ◽  
Rui Shi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Arabian Sea ◽  
Remote Sensing Data ◽  
The South China Sea ◽  
Chlorophyll A Concentration ◽  
Sensing Data ◽  
China Sea

Characteristics and temporal variations of near-bottom currents near the Dongsha Island in the northern South China Sea

2019 ◽  
Vol 38 (4) ◽  
pp. 80-89
Author(s):  
Dawei Li ◽  
Zexun Wei ◽  
Yonggang Wang ◽  
Shujiang Li ◽  
Tengfei Xu ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Northern South China Sea ◽  
Temporal Variations ◽  
Bottom Currents ◽  
China Sea

scholarly journals On the consistency of MODIS chlorophyll $a$ products in the northern South China Sea

2014 ◽  
Vol 11 (2) ◽  
pp. 269-280 ◽  
Author(s):  
S. L. Shang ◽  
Q. Dong ◽  
C. M. Hu ◽  
G. Lin ◽  
Y. H. Li ◽  
...  
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Environmental Changes ◽  
Northern South China Sea ◽  
Optical Data ◽  
Coastal Zones ◽  
Data Set ◽  
Study Region ◽  
China Sea

Abstract. Chlorophyll a (Chl) concentrations derived from satellite measurements have been used in oceanographic research, for example to interpret eco-responses to environmental changes on global and regional scales. However, it is unclear how existing Chl products compare with each other in terms of accuracy and consistency in revealing temporal and spatial patterns, especially in the optically complex marginal seas. In this study, we examined three MODIS (Moderate Resolution Imaging Spectroradiometer) Chl data products that have been made available to the community by the US National Aeronautics and Space Administration (NASA) using community-accepted algorithms and default parameterization. These included the products derived from the OC3M (ocean chlorophyll three-band algorithm for MODIS), GSM (Garver–Siegel–Maritorena model) and GIOP (generalized inherent optical properties) algorithms. We compared their temporal variations and spatial distributions in the northern South China Sea. We found that the three products appeared to capture general features such as unique winter peaks at the Southeast Asian Time-series Study station (SEATS, 18° N, 116° E) and the Pearl River plume associated blooms in summer. Their absolute magnitudes, however, may be questionable in the coastal zones. Additional error statistics using field measured Chl as the truth demonstrated that the three MODIS Chl products may contain high degree of uncertainties in the study region. Root mean square error (RMSE) of the products from OC3M and GSM (on a log scale) was about 0.4 and average percentage error (ε) was ~ 115% (Chl between 0.05–10.41 mg m−3, n = 114). GIOP with default parameterization led to higher errors (ε = 329%). An attempt to tune the algorithms based on a local coastal-water bio-optical data set led to reduced errors for Chl retrievals, indicating the importance of local tuning of globally-optimized algorithms. Overall, this study points to the need of continuous improvements for algorithm development and parameterization for the coastal zones of the study region, where quantitative interpretation of the current Chl products requires extra caution.

scholarly journals Distinct bacterial-production–DOC–primary-production relationships and implications for biogenic C cycling in the South China Sea shelf

2014 ◽  
Vol 11 (1) ◽  
pp. 147-156 ◽  
Author(s):  
C.-C. Lai ◽  
Y.-W. Fu ◽  
H.-B. Liu ◽  
H.-Y. Kuo ◽  
K.-W. Wang ◽  
...  
Keyword(s):  
South China Sea ◽  
Primary Production ◽  
South China ◽  
Bacterial Production ◽  
Northern South China Sea ◽  
Outer Shelf ◽  
Inorganic Nutrient ◽  
Shelf Area ◽  
China Sea ◽  
Spatio Temporal

Abstract. Based on two summer spatio-temporal data sets obtained from the northern South China Sea shelf and basin, this study reveals contrasting relationships among bacterial production (BP), dissolved organic (DOC) and primary production (PP) in the transition zone from the neritic to the oceanic regions. Inside the mid-shelf (bottom depth <100 m), where inorganic nutrient supplies from river discharge and internal waves were potentially abundant, BP, DOC and PP were positively intercorrelated, whereas these three measurements became uncorrelated in the oligotrophic outer shelf and slope. We suggest that the availability of limiting minerals could affect the couplings/decouplings between the source (i.e. phytoplankton) and sink (i.e. bacteria) of organic carbon, and thus DOC dynamics. DOC turnover times were homogeneously low (37–60 days) inside the mid-shelf area and then increased significantly to values >100 days in the outer shelf, indicating that riverine (Pearl River) DOC might be more labile. The actual mechanism for this is unknown, but might relate to higher inorganic nutrient supply from river/terrestrial sources. The positive correlation of the BP / PP ratios vs. phosphate (and nitrate) concentrations in the inner shelf implies that if anthropogenic mineral loading keeps increasing in the foreseeable future, the near-shore zone may become more heterotrophic, rendering the system a stronger source of CO2.

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