Sep 2026· Journal of Geophysical Research - Atmospheres· Vol 131· 0 citations· 25 references
Abstract
Tropical cyclones (TCs) cause major economic losses in Australia due to severe winds and floods; however global climate models (GCMs) are too coarse to properly resolve them. Here, we dynamically downscale ERA5 reanalysis and 16 CMIP6 simulations from 11 GCMs using the Conformal Cubic Atmospheric Model (CCAM) to a ∼10 km resolution over the Australian region. We evaluate whether these simulations can represent TC activity over the Australian region by analyzing TC frequency, genesis, intensity, lifespan, and the role of ocean–atmosphere coupling. The downscaled simulations reproduce observed spatial and seasonal patterns of TC activity, with the highest skill in the central and eastern subregions. CCAM‐ERA5 captures the observed intensity distribution for Categories 2–4 and the relationship between lifespan and intensity. The CCAM‐CMIP6 ensemble reproduces mean TC number well in the central and eastern subregions but underestimates the most intense (Categories 4–5) and medium‐lived TCs (6–8 days) while overestimating Category 1 systems. Ocean coupling has model‐dependent effects rather than producing a systematic improvement. Coupled configurations generally simulate fewer TCs than atmosphere‐only configurations, mainly through reduced weak‐TC numbers, while differences in stronger‐TC intensity are generally small and metric dependent. Overall, the CCAM downscaled simulations provide a realistic representation of Australian TC climatology, particularly in the central and eastern subregions, but remaining biases in the western basin and in the upper tail of TC intensity should be considered in future projection and impact applications.
Abstract. A 21-member ensemble of regional climate simulations has been produced for Southeast Asia (SEA) by dynamically downscaling Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs) under the World Climate Research Programme's Coordinated Regional Climate Downscaling Experiment (CORDEX...
P. Nguyen, Lisa V. Alexander, T. Ngo-Duc et al.· Geoscientific Model Developm...· 1 citation
This study evaluates changes in tropical cyclone (TC) characteristics under different future emissions scenarios in a large set of climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The Okubo–Weiss–Zeta parameter (OWZP) TC detection method is used to identify large-scale conditions conducive...
Krishneel K. Sharma, K. Tory, S. Chand et al.· Climate Dynamics· 0 citations
The Kuroshio extension (KE) plays a key role in the North Pacific climate through its strong heat transport and wintertime air–sea fluxes. Low-resolution Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models, however, continue to show structural biases such as unrealistic Kuroshio overshooting. To...
Kyung-Geun Lim, Seok-Geun Oh, Seung-Tae Lee et al.· Environmental Research: Clim...· 0 citations
We evaluate tropical cyclone (TC) representation in CORDEX ERA5‐driven simulations from the New South Wales and Australian Regional Climate Modelling Project (NARCliM2.0) over the Australian region at ∼20 km resolution for the period 1980–2020. The simulations are performed using the Weather Research and Forecasting (W...
Jyothi Lingala, Jatin Kala, Giovanni Virgilio et al.· Journal of Geophysical Resea...· 0 citations
We analyze North Atlantic Tropical Cyclone (TC) activity using the Columbia HAZard model to downscale 12 models from CMIP6 under the SSP1‐2.6 and SSP5‐8.5 scenarios—representing low and high radiative forcing, respectively. Despite greater warming under SSP5‐8.5, basin‐wide North Atlantic TC frequency is not consistent...
R. Lele, A. Sobel, Chia-Ying Lee et al.· Geophysical Research Letters· 1 citation
Simulating precipitation remains a significant challenge for climate models. This study assesses the performance of nine CORDEX-SEA CMIP5-based downscaling experiments, representing the highest resolution available for Southeast Asia, against ERA5 reanalysis data. Performance is evaluated across spatial and temporal di...
T. Aminoto· Atmósfera· 0 citations
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