A preliminary observational study on the characteristics of surface turbulent fluxes over the South China Sea Islands

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Meteorological Applications Pub Date : 2024-10-04 DOI:10.1002/met.70006
Qianjin Zhou, Lei Li, Pak Wai Chan, Zhongming Gao, Xiaodong Huang, Xiwen Ouyang, Shaojia Fan
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Abstract

In recent years, there has been a rise in human activities in oceanic areas, making the land–atmosphere interactions over islands a major scientific concern on a global scale. Examining the observation data from offshore areas enables a more comprehensive understanding of the turbulent fluxes in offshore atmospheric environments, patterns of momentum, energy and material exchange between the atmosphere and underlying surface in an oceanic boundary layer, and development of a heterogeneous atmospheric boundary layer. The related findings will assist in developing theoretical models and parameterization schemes to simulate the influence of heterogeneous surfaces on land–atmosphere interactions on the South China Sea Islands. Existing studies on the turbulent fluxes over the South China Sea Islands were mainly conducted on the Nansha Islands, whereas studies on the waters of the South China Sea are scarce. In this study, we used 10 Hz high-frequency turbulence measurements to calculate the latent and sensible heat fluxes over the South China Sea Islands using the eddy correlation method. These findings were then compared with data from the Dunhuang Gobi, Ordos desert, and Xilingol grassland regions in inland China, along with the observed net radiation and surface heat fluxes. The findings indicate that the energy fluxes over the South China Sea in summer exhibit prominent diurnal variations. The magnitude of either latent or soil heat flux is low, and the net radiation is predominantly transformed into sensible heat flux, which warms the atmosphere. Furthermore, the daily variation curves of sensible and latent heat fluxes are influenced by intermittent turbulence on the islands and reefs, resulting in a less smooth pattern compared with soil heat flux. Although the South China Sea Islands have small land areas and are surrounded by the sea, the land–atmosphere interactions over the underlying surface of this region are similar to those over the underlying surface of grasslands in inland China during summer. The daily mean sensible heat flux on the islands is higher than that in an inland area, and the time lag in its response to sunrise is longer than that in inland areas by approximately 1 h. The overall energy balance ratio is approximately 0.75, c which is in line with the average level, but an energy balance residual of approximately 25% still exists. Furthermore, extreme weather conditions, such as typhoons, can disrupt the diurnal variations of sensible and latent heat fluxes, and the cyclical patterns are subsequently restored.

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南海诸岛上空地表湍流通量特征的初步观测研究
近年来,人类在海洋地区的活动日益频繁,岛屿上空的陆地-大气相互作用已成为全球范围内的主要科学问题。通过研究近海地区的观测数据,可以更全面地了解近海大气环境中的湍流通量,海洋边界层中大气与底层表面之间的动量、能量和物质交换模式,以及异质大气边界层的发展。相关研究结果将有助于开发理论模型和参数化方案,以模拟异质表面对南海诸岛陆地-大气相互作用的影响。现有关于南海诸岛上空湍流通量的研究主要针对南沙群岛,而对南海海域的研究较少。在本研究中,我们利用 10 Hz 高频湍流测量数据,采用涡度相关法计算了南海诸岛上空的潜热通量和显热通量。然后将这些结果与中国内陆敦煌戈壁、鄂尔多斯沙漠和锡林郭勒草原地区的数据以及观测到的净辐射和地表热通量进行了比较。研究结果表明,夏季南海上空的能量通量呈现出明显的昼夜变化。无论是潜热通量还是土壤热通量都很低,净辐射主要转化为显热通量,使大气增温。此外,显热通量和潜热通量的日变化曲线受到岛礁间歇性湍流的影响,因此与土壤热通量相比,日变化曲线并不平滑。南海诸岛虽然陆地面积较小,且四面环海,但该区域底面的陆地-大气相互作用与中国内陆草原夏季底面的陆地-大气相互作用相似。岛屿上的日平均显热通量高于内陆地区,其对日出的响应时滞比内陆地区长约 1 小时,总体能量平衡比约为 0.75,c 符合平均水平,但仍存在约 25% 的能量平衡残差。此外,台风等极端天气条件会扰乱显热通量和潜热通量的昼夜变化,随后又会恢复循环模式。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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