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<p>Urban areas are known to influence the precipitation patterns within and near the city. The spatial distribution of precipitation at varying intensities is of utmost importance for urban planning, particularly for designing flood drainage systems. The study calculates the strength, frequency, variability, and trend of spatial anomalies during a period of 20 years (2000–2020) in the most populated urban agglomerations of India, specifically Greater Kolkata U.A (22.57° N, 88.36° E) (inland), Delhi U.A (28.70° N, 77.10° E) (inland), and Greater Mumbai U.A (19.07° N, 72.87° E) (coastal), Chennai U.A (13.08° N, 80.27° E) (coastal). This analysis is based on gridded precipitation data obtained from IMERG. The results indicate that high-intensity precipitation exhibits predominantly positive anomalies over urban regions, whereas lighter-intensity precipitation shows significant negative anomalies over urban locations. In addition, it has been noticed that the occurrence of negative urban anomalies decreases as precipitation intensity increases. The urban-centric EOF mode responsible for this phenomenon is identified, and its contribution varies as precipitation intensity increases. The light precipitation trend tends to decrease in urban areas. This study helps understand the spatial distribution of precipitation, which is crucial in urban planning and promoting sustainability.</p>

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Asymmetric spatial anomaly patterns of precipitation between light and very heavy precipitation over Indian urban agglomerations

  • 期刊论文

  • 发表日期：

    2025年2月14日

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  • Lokesh Kalamalla,
  • A. N. V. Satyanarayana

摘要

Urban areas are known to influence the precipitation patterns within and near the city. The spatial distribution of precipitation at varying intensities is of utmost importance for urban planning, particularly for designing flood drainage systems. The study calculates the strength, frequency, variability, and trend of spatial anomalies during a period of 20 years (2000–2020) in the most populated urban agglomerations of India, specifically Greater Kolkata U.A (22.57° N, 88.36° E) (inland), Delhi U.A (28.70° N, 77.10° E) (inland), and Greater Mumbai U.A (19.07° N, 72.87° E) (coastal), Chennai U.A (13.08° N, 80.27° E) (coastal). This analysis is based on gridded precipitation data obtained from IMERG. The results indicate that high-intensity precipitation exhibits predominantly positive anomalies over urban regions, whereas lighter-intensity precipitation shows significant negative anomalies over urban locations. In addition, it has been noticed that the occurrence of negative urban anomalies decreases as precipitation intensity increases. The urban-centric EOF mode responsible for this phenomenon is identified, and its contribution varies as precipitation intensity increases. The light precipitation trend tends to decrease in urban areas. This study helps understand the spatial distribution of precipitation, which is crucial in urban planning and promoting sustainability.