A sounding is typically used to diagnose the thermodynamic properties of the atmosphere. A classical parcel model is generally used to assess the potential for convective development (i.e., through CAPE/CIN diagnoses). However, it is well known that under the diurnal cycle over land, the development of shallow convection within the boundary layer can strongly influence the onset of deep convection (Wu et al. 2009). In addition, the horizontal heterogeneity of surface sensible and latent heat fluxes, shaped by previous convective events, can significantly modify both the mean precipitation and the timing of peak rainfall during the diurnal cycle (Wu et al. 2015). These findings highlight the critical role of boundary layer processes in predicting afternoon thunderstorms. Over a mountainous island such as Taiwan, this environmental information, combined with strong orographic forcing and locally driven circulations, provides an even stronger constraint on the formation of precipitation hotspots associated with orographically locked convection. This provides an opportunity to predict afternoon thunderstorms in numerical simulations using only soundings that represent the upstream large-scale environment.
In TaiwanVVM, orographic effects are embedded in the vorticity equation, resulting in a non-local flow structure that is essential for capturing these precipitation hotspots. The flow-dependent orographic effects (Wu and Arakawa 2011; Wu et al. 2019) enable the simulation of local circulations generated by buoyancy gradients while minimizing contamination by numerical diffusion. We demonstrate that the formation and intensity of these hotspots strongly depend on interactions among the physical processes governing local energetics and cloud dynamics. Accurately estimating future changes in these hotspots therefore requires a model with sufficiently high spatial resolution as well as an appropriate representation of the key physical processes.
Ensembles of TaiwanVVM large-eddy simulations (Δx = 500 m) are designed to capture summertime diurnal convection over Taiwan under conditions dominated by local circulation (Chen et al. 2024). Precipitation hotspots identified from long-term observations are well reproduced by the present-day ensemble simulations when realistic environmental variability is included. A pseudo-global warming experiment is then conducted to examine changes in convective structures and the resulting local rainfall responses. Under a uniform warming scenario of 3 K with conserved relative humidity, the thermodynamic environment exhibits increased convective available potential energy and a slight reduction in convective inhibition (CIN), primarily due to enhanced low-level water vapor in the marine boundary layer. These high-resolution simulations, conducted under a well-defined weather regime, provide critical information for assessing future changes in extreme rainfall associated with orographically locked diurnal convection, with implications for natural hazards and water resources.
Furthermore, the robustness of the TaiwanVVM ensemble dataset can be leveraged to train an AI model that can substantially accelerate prediction while preserving physical explainability through a variational autoencoder (VAE; e.g., Hsieh and Wu 2024). By compressing the TaiwanVVM results into a small number of latent dimensions, we can project and interpret key physical processes within this reduced space. With the aid of a large number of TaiwanVVM ensemble simulations, we can develop an AI-TaiwanVVM framework that generates local flow and precipitation patterns using only upstream soundings as input.
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Wu, C. M., Stevens, B., & Arakawa, A. (2009). What controls the transition from shallow to deep con-vection? Journal of the Atmospheric Sciences, 66(6), 1793-1806.
Wu, C. M.*, & Arakawa, A. (2011). Inclusion of surface topography into the vector vorticity equation model (VVM). Journal of Advances in Modeling Earth Systems, 3(2).
Wu, C. M.*, Lo, M. H., Chen, W. T., & Lu, C. T. (2015). The impacts of heterogeneous land surface fluxes on the diurnal cycle precipitation: A framework for improving the GCM representation of land‐atmosphere interactions. Journal of Geophysical Research: Atmospheres, 120(9), 3714-3727.
Wu, C. M.*, Lin, H. C., Cheng, F. Y., & Chien, M. H. (2019). Implementation of the land surface pro-cesses into a vector vorticity equation model (VVM) to study its impact on afternoon thunderstorms over complex topography in Taiwan. Asia-Pacific Journal of Atmospheric Sciences, 55(4), 701-717.
Chen, W.-T., Y.-H. Chang, C.-M. Wu* and H.-Y. Huang (2024) The future extreme precipitation systems of orographically locked diurnal convection: the benefits of using large-eddy simulation ensembles. Environmental Research: Climate
Hsieh, M.-K., and C.-M. Wu* (2024) Developing an Explainable Variational Autoencoder (VAE) Framework for Accurate Representation of Local Circulation in Taiwan. JGR Atmosphere |