Climate variability and changing precipitation patterns have become critical concerns in recent years, particularly in regions experiencing shifts in seasonal rainfall. These phenomena can affect how to mitigate the flooding events especially the rainfall predictions-based model for flood mitigation. This study analyse rainfall trends across multiple stations, focusing on maximum daily and monthly rainfall during the dry season. The data reveals a significant increasing trend in precipitation over time. Maximum daily rainfall has risen by approximately 20–30%, with some stations exceeding 160 mm. Average monthly rainfall during the dry season has increased from 90 mm in the early 2000s to over 110 mm in recent years. Similarly, decadal averages show an upward trend from 90 mm (2001–2010) to nearly 115 mm (2021–2024). These findings highlight the growing intensity of rainfall, emphasizing the need for adaptive strategies to mitigate potential impacts.

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Rainfall Pattern Analysis in Jakarta Rainfall Posts

  • Christian Cahyono,
  • Juliastuti

摘要

Climate variability and changing precipitation patterns have become critical concerns in recent years, particularly in regions experiencing shifts in seasonal rainfall. These phenomena can affect how to mitigate the flooding events especially the rainfall predictions-based model for flood mitigation. This study analyse rainfall trends across multiple stations, focusing on maximum daily and monthly rainfall during the dry season. The data reveals a significant increasing trend in precipitation over time. Maximum daily rainfall has risen by approximately 20–30%, with some stations exceeding 160 mm. Average monthly rainfall during the dry season has increased from 90 mm in the early 2000s to over 110 mm in recent years. Similarly, decadal averages show an upward trend from 90 mm (2001–2010) to nearly 115 mm (2021–2024). These findings highlight the growing intensity of rainfall, emphasizing the need for adaptive strategies to mitigate potential impacts.