收藏切换
Analysis on climate characteristics of sea surface temperature extremes in coastal China seas
收藏切换
PDF
Qinghua Qi1, Rongshuo Cai1
Haiyang Xuebao | 2019, 41(7) : 36 - 51
Less
收藏切换
Haiyang Xuebao | 2019, 41(7): 36-51
Physical Oceanography, Marine Meteorology and Marine Physics
Analysis on climate characteristics of sea surface temperature extremes in coastal China seas
Full
Qinghua Qi1, Rongshuo Cai1
Affiliations
  • 1 Marine Environmental Management and Sustainable Development Research Center, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
Published: 2019-07-25 doi: 10.3969/j.issn.0253-4193.2019.07.004
Outline
收藏切换

Based on the daily reanalysis from 1982 to 2017, this paper focuses on the analysis of the extreme characteristics, historical evolution, spatial pattern and possible impactions of sea surface temperature (SST) in coastal China seas (CCS), and discusses the correlation with global change and regional climate variability. The SST in the CCS overall increased significantly in recent more than 30 years, especially in the spring near the Changjiang River Estuary and offshore areas south of it with the warming rate up to 0.2℃/(10 a). Nevertheless the response of nearshore waters to the global warming hiatus is likely to be more pronounced. The extreme high (low) temperature intensity is mainly enhanced (weakened), especially in spring (summer). The increase of extreme temperature difference in the nearshore area in spring can easily lead to frequent ecological disasters such as biological migration and red tide. The consecutive days of extreme events in the northern sea areas are longer than in the south. The consecutive days of extreme high temperature in the Yellow Sea and East China Sea increased significantly, which may have a potential impact on fishery resources. Mostly due to the global warming hiatus, the consecutive days of extreme low temperature is also increased significantly. The cumulative frequency of extreme high temperature near the Changjiang River Estuary, the Taiwan Strait and the northern part of the South China Sea (SCS) increased significantly. In the future, extreme marine heat waves are likely increase continuously, which will have a greater impact on the coral reefs in the SCS and so on. The cumulative frequency of extreme low temperature is mainly reduced. The extreme low temperature along the Changjiang River Estuary and the southern nearshore sea areas increased obviously in winter and spring, which may have some influence on mangrove. During the warm phase of the Pacific decadal oscillation (PDO), the ENSO warm event is enhanced, which is likely to cause the frequent occurrence of extreme low temperature in the CCS. In addition, as the Arctic oscillation (AO) is in positive phase, the cold air in the polar region is restricted to expand southward, and the frequency of extreme high temperature in the CCS surface tends to increase, which enhances the disaster risk.

extreme climate events  /  marine heat wave  /  marine ecosystem  /  hazard inducing environment  /  regional climate variability  /  global climate change
Qinghua Qi, Rongshuo Cai. Analysis on climate characteristics of sea surface temperature extremes in coastal China seas[J]. Haiyang Xuebao, 2019 , 41 (7) : 36 -51 . DOI: 10.3969/j.issn.0253-4193.2019.07.004
Year 2019 volume 41 Issue 7
PDF
118
58
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.0253-4193.2019.07.004
  • Receive Date:2018-07-22
  • Online Date:2026-04-02
  • Published:2019-07-25
Article Data
Affiliations
History
  • Received:2018-07-22
  • Revised:2018-10-27
Funding
Affiliations
    1 Marine Environmental Management and Sustainable Development Research Center, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
References
Share
https://castjournals.cast.org.cn/joweb/hyxb/EN/10.3969/j.issn.0253-4193.2019.07.004
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT