Detection of sea-breeze inland penetration in the coastal-urban region using geostationary satellite images

DOI Web Site Web Site 被引用文献2件 参考文献48件

書誌事項

公開日
2020-03
資源種別
journal article
権利情報
  • https://www.elsevier.com/tdm/userlicense/1.0/
  • https://www.elsevier.com/legal/tdmrep-license
DOI
  • 10.1016/j.uclim.2020.100586
公開者
Elsevier BV

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説明

Abstract Sea breeze is closely related to the living environment in coastal-urban regions. Therefore, the framework for sea-breeze detection is crucial. We proposed a framework to derive a two-dimensional distribution of sea-breeze front (SBF) using geostationary satellite images. The framework includes the application of morphological snake algorithm into visible band images for automated detection of the cumulus cloud-lines associated with SBF. The verification was undertaken by comparing the passage time of the cloud-line with the arrival time of the SBF estimated from ground observation. The results show that the cloud-line was reasonably able to represent the arrival time of the SBF with a bias time of 20 min and within a distance of 3 km. The mean penetration speed obtained from the cloud-lines passage was slightly slower than that estimated from the arrival time of SBF (1.4 ms−1 and 1.5 ms−1, respectively). In certain cases, the cloud-lines passage was found to be behind the SBF more than 5 km, particularly in the city center. This indicated the enhanced updraft due to urban-heat-island circulation potentially caused the delayed of cloud-line propagation in certain prevailing wind condition.

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