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Journal of Oceanology and Limnology

, Volume 36, Issue 3, pp 620–629 | Cite as

Surface diurnal warming in the East China Sea derived from satellite remote sensing

  • Dan Song (宋丹)
  • Zhigang Duan (段志刚)
  • Fangguo Zhai (翟方国)
  • Qiqi He (何齐齐)
Article
  • 33 Downloads

Abstract

Process of sea surface diurnal warming has drawn a lot of attention in recent years, but that occurs in shelf seas was rarely addressed. In the present work, surface diurnal warming strength in the East China Sea was calculated by the sea surface temperature (SST) data derived from the MODIS sensors carried by the satellites Aqua and Terra. Due to transit time difference, both the number of valid data and the surface diurnal warming strength computed by the MODIS-Aqua data are relatively larger than Terra. Therefore, the 10-year MODIS-Aqua data from 2005 to 2014 were used to analyze the monthly variability of the surface diurnal warming. Generally, the surface diurnal warming in the East China sea is stronger in summer and autumn but weaker in winter and spring, while it shows different peaks in different regions. Large events with ΔT≥5 K have also been discussed. They were found mainly in coastal area, especially near the Changjiang (Yangtze) River estuary. And there exists a high-incidence period from April to July. Furthermore, the relationship between surface diurnal warming and wind speed was discussed. Larger diurnal warming mainly lies in areas with low wind speed. And its possibility decreases with the increase of wind speed. Events with ΔT≥2.5 K rarely occur when wind speed is over 12 m/s. Study on surface diurnal warming in the East China Sea may help to understand the daily scale air-sea interaction in the shelf seas. A potential application might be in the marine weather forecasts by numerical models. Its impact on the coastal eco-system and the activities of marine organisms can also be pursued.

Keyword

Moderate-Resolution Imaging Spectroradiometer (MODIS) sea surface temperature (SST) diurnal warming East China Sea 

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Notes

Acknowledgement

The authors would like to thank the editor and the reviewers for their remarkable advices, and Mr. FAN Jianlei for proofreading.

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Copyright information

© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Dan Song (宋丹)
    • 1
    • 2
  • Zhigang Duan (段志刚)
    • 1
  • Fangguo Zhai (翟方国)
    • 3
  • Qiqi He (何齐齐)
    • 1
  1. 1.Institute of Physical Oceanography, Ocean CollegeZhejiang UniversityZhoushanChina
  2. 2.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of OceanographyState Oceanic AdministrationHangzhouChina
  3. 3.College of Oceanic and Atmospheric SciencesOcean University of ChinaQingdaoChina

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