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<p>This study evaluates two regional climate models—SINGV-RCM and WRF—forced by ERA5 reanalysis data and configured with the same spatial resolution and domain sizes over the period 2001–2014. The focus is on assessing each model’s ability to simulate observed precipitation characteristics over the Maritime Continent (MC) in general, and the Western Maritime Continent (WMC) in particular, including convection-permitting (CP) configurations at 2&#xa0;km and 8&#xa0;km resolutions. Both models capture the overall envelope of the extremes and the diurnal cycle of precipitation over the MC domain. While SINGV-RCM tends to overestimate higher percentiles of rainfall over land for extreme precipitation events, it simultaneously exhibits a dry bias in oceanic regions. Although WRF simulates lower extreme rainfall values than SINGV-RCM when evaluated against IMERG satellite-derived data over land grid points, both models adequately reproduce the summer (JJAS) diurnal cycle and the progression of peak rainfall over the WMC. However, notable discrepancies remain during the winter months (NDJF), especially over oceanic regions. These inter-model discrepancies stem from variations in their underlying physical and dynamical schemes, despite using identical domain sizes, spatial resolutions, and forcing fields. Observational uncertainty still exist in this study due to the use of IMERG alone. Additionally, the results underscore the added value of using convection-permitting resolutions—even at 8&#xa0;km—in improving precipitation simulations in this complex region.</p>

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Convection-permitting climate simulations using SINGV-RCM and WRF over the Maritime Continent

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月11日

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  • Venkatraman Prasanna,
  • Srivatsan V. Raghavan,
  • Anurag Dipankar,
  • Jianyu Liu,
  • Gerald Lim,
  • Aurel Moise,
  • Nguyen Ngoc Son,
  • Bhenjamin Jordan Lozada Ona,
  • Pavan Harika Raavi,
  • Anupam Kumar,
  • Jianjun Yu,
  • Chen Chen,
  • Xin Rong Chua,
  • Fei Luo,
  • Hassim Eeqmal Muhammad,
  • Sahany Sandeep,
  • Claudio Sanchez,
  • Stuart Webster

摘要

This study evaluates two regional climate models—SINGV-RCM and WRF—forced by ERA5 reanalysis data and configured with the same spatial resolution and domain sizes over the period 2001–2014. The focus is on assessing each model’s ability to simulate observed precipitation characteristics over the Maritime Continent (MC) in general, and the Western Maritime Continent (WMC) in particular, including convection-permitting (CP) configurations at 2 km and 8 km resolutions. Both models capture the overall envelope of the extremes and the diurnal cycle of precipitation over the MC domain. While SINGV-RCM tends to overestimate higher percentiles of rainfall over land for extreme precipitation events, it simultaneously exhibits a dry bias in oceanic regions. Although WRF simulates lower extreme rainfall values than SINGV-RCM when evaluated against IMERG satellite-derived data over land grid points, both models adequately reproduce the summer (JJAS) diurnal cycle and the progression of peak rainfall over the WMC. However, notable discrepancies remain during the winter months (NDJF), especially over oceanic regions. These inter-model discrepancies stem from variations in their underlying physical and dynamical schemes, despite using identical domain sizes, spatial resolutions, and forcing fields. Observational uncertainty still exist in this study due to the use of IMERG alone. Additionally, the results underscore the added value of using convection-permitting resolutions—even at 8 km—in improving precipitation simulations in this complex region.