2017
DOI: 10.1080/19475705.2017.1292559
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The impacts of 2008 snowstorm in China on the ecological environments in the Northern South China Sea

Abstract: At the beginning of 2008, disastrous weather with snowstorms truck South China. Analysis of satellite and in situ data revealed obvious changes in ecological environments in the northern South China Sea after snowstorms. The sea surface temperature (SST) data from NOAA and Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 to 2013, and the chlorophyll-a (Chla) concentration from MODIS are analysed. In the study area, the multiple-day-averaged SST dropped by 20.01% and Chla concentration increased … Show more

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Cited by 6 publications
(4 citation statements)
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References 50 publications
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“…oualaniensis is a squid with a short life cycle, its abundance was extremely vulnerable to anomalous environmental conditions. SSW was at its maximum in early March 2008, when SST was the lowest (expressed by dotted boxes in Fig 6), which might have been related to the La Niña event in early 2008 and local circulation anomalies in the north-central SCS [45, 46]. The La Niña event formed in August 2007 and ended in April 2008, during which time sea temperature in the middle-eastern equatorial Pacific Ocean and the SCS was partially low [45].…”
Section: Discussionmentioning
confidence: 99%
“…oualaniensis is a squid with a short life cycle, its abundance was extremely vulnerable to anomalous environmental conditions. SSW was at its maximum in early March 2008, when SST was the lowest (expressed by dotted boxes in Fig 6), which might have been related to the La Niña event in early 2008 and local circulation anomalies in the north-central SCS [45, 46]. The La Niña event formed in August 2007 and ended in April 2008, during which time sea temperature in the middle-eastern equatorial Pacific Ocean and the SCS was partially low [45].…”
Section: Discussionmentioning
confidence: 99%
“…The software R v.4.0.0 (R Development Core Team, 2020) was used to spatially fuse and match SST, SSS, Chl a, and fishery data, and ArcGIS 10.3 (Esri, Redlands, CA, USA) was used to plot the distribution of the flow field and NPP. Data fusion for the remote sensing data with different resolutions could be derived through the following algorithm [34]:…”
Section: Satellite Remote Sensing Dataremote Sensing Datamentioning
confidence: 99%
“…The climatic map of SST, SSTA and NPP were plotted by ArcGIS 10.3 software. Data fusion of the remote sensing data with different resolutions was obtained through the following algorithm [19]:…”
Section: Satellite Remote Sensing Datamentioning
confidence: 99%