Anomalous hydrographic and biological conditions in the northern South China Sea during the 1997–1998 El Niño and comparisons with the equatorial Pacific

Tseng, Chun‐Mao; Liu, Kon-Kee; Wang, L.-W.; Gong, Gwo-Ching

doi:10.1016/j.dsr.2009.09.004

Cited by 28 publications

(26 citation statements)

References 43 publications

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“…When the southwest monsoon was diminishing and the stronger northeast monsoon winds began appearing in the autumn, the MLD deepened rapidly again and reached the annual maximum till boreal winter. The observed MLD in SEATS station was ∼20 ± 6 and ∼67 ± 26 m in summer and winter, respectively (Wong et al, 2007;Tseng et al, 2009), which agreed reasonably with our model results. As shown in Figure 4a, the model simulated sea surface temperature (SST) also experienced obvious seasonal trends with the lowest temperature (∼25.05…”

Section: Resultssupporting

confidence: 81%

Seasonal variability of surface phytoplankton in the Northern South China Sea: A one-dimensional coupled physical-biogeochemical modeling study

Geng

Wang

et al. 2012

Aquatic Ecosystem Health &Amp; Management

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Section: Resultssupporting

confidence: 81%

Seasonal variability of surface phytoplankton in the Northern South China Sea: A one-dimensional coupled physical-biogeochemical modeling study

Geng

Wang

et al. 2012

Aquatic Ecosystem Health &Amp; Management

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“…The NCEP-AT, -SST and -WS all agreed well with ship-board observations (Fig. 2a, b, c), indicating the remotely sensed data used here are reliable (Tseng et al, , 2009a.…”

Section: Other Ancillary Datasupporting

confidence: 68%

“…The seasonal variations in sea surface temperature are small (Fig. 2a, b) and the upper water column is well stratified at all times (Tseng et al, , 2007(Tseng et al, , 2009a. The Taiwanese National Center for Ocean Research (NCOR) has been operating the SEATS program, featuring regular sampling in the northern SCS since 1999 (Tseng et al, , 2007.…”

Section: Study Areamentioning

confidence: 99%

Seasonal changes in gaseous elemental mercury in relation to monsoon cycling over the northern South China Sea

2012

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Abstract. The distribution of gaseous elemental mercury (GEM) was determined in the surface atmosphere of the northern South China Sea (SCS) during 12 SEATS cruises between May 2003 and December 2005. The sampling and analysis of GEM were performed on board ship by using an on-line mercury analyzer (GEMA). Distinct annual patterns were observed for the GEM with a winter maximum of 5.7 ± 0.2 ng m −3 (n = 3) and minimum in summer (2.8 ± 0.2; n = 3), with concentrations elevated 2-3 times global background values. Source tracking through backward air trajectory analysis demonstrated that during the northeast monsoon (winter), air masses came from Eurasia, bringing continental-and industrial-derived GEM to the SCS. In contrast, during summer southwest monsoon and inter-monsoon, air masses were from the Indochina Peninsula and Indian Ocean and west Pacific Ocean. This demonstrates the impact that long-range transport, as controlled by seasonal monsoons, has on the Hg atmospheric distribution and cycling in the SCS.

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“…This may be related to the EI Niño phenomenon, which has a two to seven years cycle [33]. A study found hydrographic and biological anomalies in the South China Sea related to the EI Niño event [33]. Another study found that the EI Niño-South Oscillation (ENSO) strongly influences extreme events such as floods and droughts River basin [34].…”

Section: Discussionmentioning

confidence: 99%

“…In central, eastern, northern, and northeast China, a periodicity of less than 10 years is seen. This may be related to the EI Niño phenomenon, which has a two to seven years cycle [33]. A study found hydrographic and biological anomalies in the South China Sea related to the EI Niño event [33].…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variation of Precipitation Regime in China from 1961 to 2014 from the Standardized Precipitation Index

Yuan

2016

IJGI

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Prediction of drought and flood events can be difficult, but the standardized precipitation index (SPI) calculated from monthly data may be a useful tool for predicting future dryness/wetness events in China. The rainy season SPI was calculated from monthly precipitation data from 3804 meteorological stations in China. The spatiotemporal variation, periodic change, and trend in rainy season SPI from 1961 to 2014 in eight regions were investigated. The results indicate that the rainy season SPI is valuable for assessing dryness/wetness spatial and temporal variations. The SPI time series in the northwest and southwest show increasing trends, while northeast China, south China, and Taiwan show more than one upward/downward trend during the study period, and the SPI time series in central, east, and north China show no change in trend. South China has an approximately 10-year periodic oscillation, while the other regions show an approximately 16-year periodic oscillation. The results of this study imply that the SPI can be used to explore historical drought/flood spatiotemporal variations, as well as to predict future wetness/dryness variations.

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Anomalous hydrographic and biological conditions in the northern South China Sea during the 1997–1998 El Niño and comparisons with the equatorial Pacific

Cited by 28 publications

References 43 publications

Seasonal variability of surface phytoplankton in the Northern South China Sea: A one-dimensional coupled physical-biogeochemical modeling study

Seasonal variability of surface phytoplankton in the Northern South China Sea: A one-dimensional coupled physical-biogeochemical modeling study

Seasonal changes in gaseous elemental mercury in relation to monsoon cycling over the northern South China Sea

Spatiotemporal Variation of Precipitation Regime in China from 1961 to 2014 from the Standardized Precipitation Index

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