Response of marine post-frontal clouds to Gulf Stream variability
编号:696 访问权限:仅限参会人 更新:2026-08-31 18:27:19 浏览:0次 口头报告

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摘要
Understanding how Gulf Stream variation influences cloud morphology is critical for evaluating
cloud feedback in the western North Atlantic Ocean and beyond, where mesoscale air-sea interactions domi
nate. This study investigates the impact of altered mean sea surface temperature (SST) and SST gradients on
post-frontal cloud characteristics during cold-air outbreaks, using the Weather Research and Forecasting (WRF)
model. Three sensitivity experiments are conducted: a control simulation (default SST), Plus4 (uniform SST
increase of 4 K), and Gradplus (SST gradient enhanced by 25 %, centered around mean SST). Results reveal
distinctly different responses in boundary layer dynamics and cloud macro-physics. In Plus4, a warmer and
moister boundary layer reduces total cloud cover but promotes larger cloud sizes and elongated cloud streets,
with diminished liquid water and enhanced ice-phase hydrometeors. Conversely, Gradplus amplifies impacts in
the upwind colder SST regions, yielding a drier, colder boundary layer, weaker energy transport, and higher liq
uid water path but reduced ice water content and cloud lines. Tracer analysis highlights that SST modifications
alter airmass sources near cloud tops due to the entrainment of ambient air, with Plus4 amplifying boundary layer
contributions to cloud-top regions. These findings underscore the spatially varying effects of SST gradients and
mean SST on cloud organization and microphysics, emphasizing the need to resolve ocean-atmosphere coupling
in global models to improve the prediction of marine cloud feedback under warming scenarios.
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报告人
Jingyi Chen
Nanjing University of Information Science and Technology

稿件作者
Jingyi Chen Nanjing University of Information Science and Technology
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重要日期
  • 会议日期

    01月12日

    2027

    01月15日

    2027

  • 07月21日 2026

    初稿截稿日期

  • 01月15日 2027

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University (MEL)
Department of Earth Sciences, National Natural Science Foundation of China (NSFC)
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