Articles | Volume 22, issue 1
https://doi.org/10.5194/acp-22-419-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-419-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Observed slump of sea land breeze in Brisbane under the effect of aerosols from remote transport during 2019 Australian mega fire events
Lixing Shen
College of Global Change and Earth System Science, and State Key
Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal
University, Beijing 100875, China
College of Global Change and Earth System Science, and State Key
Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal
University, Beijing 100875, China
Xingchuan Yang
College of Global Change and Earth System Science, and State Key
Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal
University, Beijing 100875, China
Yikun Yang
College of Global Change and Earth System Science, and State Key
Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal
University, Beijing 100875, China
Ping Zhou
College of Global Change and Earth System Science, and State Key
Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal
University, Beijing 100875, China
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Using high-resolution multi-year warm season data, the influence of aerosol on precipitation time over the North China Plain (NCP), Yangtze River Delta (YRD), and Pearl River Delta (PRD) is investigated. Aerosol amount and type have significant influence on precipitation time: precipitation start time is advanced by 3 h in the NCP, delayed 2 h in the PRD, and negligibly changed in the YRD. Aerosol impact on precipitation is also influenced by precipitation type and meteorological conditions.
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A convective cloud identification process is developed using geostationary satellite data from Himawari-8.
Convective cloud fraction is generally larger before noon and smaller in the afternoon under polluted conditions, but megacities and complex topography can influence the pattern.
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Zhanshan Ma, Chuanfeng Zhao, Jiandong Gong, Jin Zhang, Zhe Li, Jian Sun, Yongzhu Liu, Jiong Chen, and Qingu Jiang
Geosci. Model Dev., 14, 205–221, https://doi.org/10.5194/gmd-14-205-2021, https://doi.org/10.5194/gmd-14-205-2021, 2021
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The spin-up in GRAPES_GFS, under different initial fields, goes through a dramatic adjustment in the first half-hour of integration and slow dynamic and thermal adjustments afterwards. It lasts for at least 6 h, with model adjustment gradually completed from lower to upper layers in the model. Thus, the forecast results, at least in the first 6 h, should be avoided when used. In addition, the spin-up process should repeat when the model simulation is interrupted.
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Short summary
Using multi-year data, this study reveals the slump of sea land breeze (SLB) at Brisbane during mega fires and investigates the impact of fire-induced aerosols on SLB. Different aerosols have different impacts on sea wind (SW) and land wind (LW). Aerosols cause the decrease of SW, partially offset by the warming effect of black carbon (BC). The large-scale cooling effect of aerosols on sea surface temperature (SST) and the burst of BC contribute to the slump of LW.
Using multi-year data, this study reveals the slump of sea land breeze (SLB) at Brisbane during...
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