Abstract

Marginal seas are fundamental to humans for their importance in mariculture resources and commerce. Based on the NOAA 0.25 degree daily Optimum Interpolation (OI) sea surface temperature (SST) data set, spatiotemporal changes in mean and extreme SST in the East China Seas (ECSs) were examined for from 1982 to 2017. As a regional average, the annual mean SST has notably increased at a rate of 0.21 ± 0.08 °C per decade. The warming SST during 1982–2017 is probably related to the influence from a recent strengthening and westward extension of the WPSH. There are also notable warming trends in annual minimum and maximum SST. Spatially, the rapid warming of annual mean SSTs are located in the vicinity of the Yangtze Estuary, exceeding 0.2 °C per decade and part of the ECS-Kuroshio. This pattern may be largely affected by the spatial changes of minimum SST. Rapid warming of maximum SST can be found across the region, from the northern East China Sea (ECS) to the Bohai Sea. Since 1982, extreme hot days (EHDs) have undergone an obvious increasing trend, at a rate of 15.2 days per decade. Conversely, extreme cold days (ECDs) have been decreasing. Notably, the largest increase of EHDs appears in the western ECS and the Bohai Sea, which both have rich marine ecosystems. The trend of EHDs has a significant relationship to mean SST, suggesting that there will be a further increase in EHDs under continued warming in the ECSs. These findings emphasize the importance and urgency of strategies which should be planned for the adaptation and mitigation of specific types of extreme hot events in this region.

Highlights

  • Sea surface temperature (SST) is considered to be one of the most important indicators in quantifying climate change [1]

  • The analysis of sea surface temperature (SST) variability in the East China Seas (ECSs) successfully lead to a better understanding of this marine environment, including climate related hydrographic and ecosystem trends

  • Annual mean SSTA over the ECSs is subject to more notable warming trend, with a rate of 0.21 ± 0.08 ◦ C per decade which is higher than the global mean trend based on the same data set during 1982–2017

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Summary

Introduction

Sea surface temperature (SST) is considered to be one of the most important indicators in quantifying climate change [1]. To better adapt to climate warming and decision-making, an improved and detailed understanding of regional climate changes is required. The previous studies covering the China Seas typically used reconstructed or reanalyzed monthly mean SST data sets. The detailed extreme hot and cold SST changes and their relationship with changes in SST annual ranges (ARs) remain unknown, owing to the lower spatial and temporal resolution of data sets. The present study adds some new insights into understanding the inter-annual variations of annual mean, annual minimum, annual maximum SSTs, and AR averaged of the ECSs and spatial distribution of trends in the ECSs from 1982 to 2017. The information through our work will improve the understanding of the hydrography and climate trends in this region and benefit fisheries and marine biological research. Changes in extreme events are conducted .

Study Region
Data Source
Taylor diagram of of thethe annual mean v2v2 compared with
Annual Frequency of Extremely Cold and Hot Days
Testing for Significance of Correlations and Trends
Annual SST Changes
Time series of anomalies the regional annual
Changes in the Extreme
Changes in the Extreme Events and Their Relationship with Mean SST
This high frequency
Findings
Summary and Discussions
Full Text
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