Dry bias in regional climate simulations linked with surface roughness changes
Mathew Lipson
Mathew Lipson (21st Century Weather, UNSW)
Emma Howard (Bureau of Meteorology)
Sugata Narsey (Bureau of Meteorology)
Siyuan Tian (Bureau of Meteorology)
Chun-Hsu Hsu (Bureau of Meteorology)
Dry bias in regional climate simulations linked with surface roughness changes
- A dry bias has emerged in the Bureau’s first convection-permitting regional climate downscaling product (BARPA-C) over northern Australia. Recent analyses have ruled out errors in large-scale circulation representation and focus has shifted to investigating links with a revised land cover dataset (ESA-CCIv2).
- This study investigates the mechanisms by which land surface changes influence monsoonal rainfall, using 4.4 km convection-permitting ACCESS-rAM simulations during the 2019–2020 wet season.
- Targeted experiments indicate that increased surface roughness can notably enhance monsoonal precipitation. This finding has implications for other ACCESS model configurations, and raises broader questions related to land clearing practices and future climate projections. We present key results, explore underlying processes, and invite feedback from the land–atmosphere and climate research community.
- Audience: land and atmosphere working groups, climate, weather, model development
- Keywords: regional climate, dry bias, monsoon, land surface, surface roughness
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