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<p>A dedicated program has been initiated to evaluate ambient air quality with particular emphasis on the influence of coastal meteorological conditions over Chennai, a major coastal city. Two key mesoscale processes sea breeze circulation and the formation of the Thermal Internal Boundary Layer (TIBL) play a significant role in modulating airborne pollutant dispersion, thereby impacting the ground-level concentration (GLC) patterns. The TIBL, in particular, facilitates fumigation of emissions from tall stacks, enhancing GLC values. Additionally, the sea breeze may transport pollutants that were advected over the sea during nighttime back toward the land during the day. Accurate estimation of the flow field and the inland variation of TIBL height is essential for reliable GLC assessment. To this end, the Mesoscale Atmospheric Model (MAM-1) has been employed to capture the site-specific meteorological characteristics influenced by the coastal terrain, especially over the northern semi-rural areas adjacent to Chennai. In situations where dense observational networks are unavailable, a validated numerical model such as MAM-1 can serve as a cost-effective tool to simulate atmospheric conditions using only limited input data. The results from the MAM-1 simulations are presented along ith comparisons against observational measurements to assess the model's performance.</p>

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Mesoscale Meteorological Characteristics Over the Coastal Industrial Region of Chennai: Observations and MAM Model Simulations

  • 期刊论文

  • 发表日期：

    2026年5月12日

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  • M. Rajendran,
  • Thiyagesan Dharmaraj,
  • Rani P. Pawar,
  • Aditi D. Yadav,
  • R. T. Waghmare,
  • Dinesh Dharmaraj

摘要

A dedicated program has been initiated to evaluate ambient air quality with particular emphasis on the influence of coastal meteorological conditions over Chennai, a major coastal city. Two key mesoscale processes sea breeze circulation and the formation of the Thermal Internal Boundary Layer (TIBL) play a significant role in modulating airborne pollutant dispersion, thereby impacting the ground-level concentration (GLC) patterns. The TIBL, in particular, facilitates fumigation of emissions from tall stacks, enhancing GLC values. Additionally, the sea breeze may transport pollutants that were advected over the sea during nighttime back toward the land during the day. Accurate estimation of the flow field and the inland variation of TIBL height is essential for reliable GLC assessment. To this end, the Mesoscale Atmospheric Model (MAM-1) has been employed to capture the site-specific meteorological characteristics influenced by the coastal terrain, especially over the northern semi-rural areas adjacent to Chennai. In situations where dense observational networks are unavailable, a validated numerical model such as MAM-1 can serve as a cost-effective tool to simulate atmospheric conditions using only limited input data. The results from the MAM-1 simulations are presented along ith comparisons against observational measurements to assess the model's performance.