Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall

Lok, Charlie C. F.; Chan, Johnny C. L.; Toumi, Ralf

doi:10.1007/s00376-022-1326-9

Cited by 7 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cyclone is also an important metric to evaluate the regional model performances (Lok et al., 2022). In observation, the cyclone number in the north western Pacific region decreased in recent 35 years with a rate of 0.15 per year.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region

Jin

Dong

et al. 2023

JGR Atmospheres

View full text Add to dashboard Cite

Climate models are essential tools for studying climate change and climate variability at multiple timescales. Currently, there are more than one hundred climate/earth system models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) (Eyring et al., 2016;Zhou et al., 2019). However, climate models can have large biases in precipitation, surface air temperature, and the interannual variability of the East Asian monsoon at a regional scale, which is mainly due to the coarse horizontal resolution (about 100-200 km) that may not sufficiently capture the regional processes, such as the local terrain and surface characteristics (Li & Zhou, 2010). Therefore, it is necessary to develop regional climate models (RCMs) with finer resolution in order to better understand the relevant regional/local climate phenomena and project future regional climate changes.RCMs have been widely adopted as useful tools to obtain high-resolution regional climate information (

show abstract

Section: Conclusion and Discussionmentioning

confidence: 99%

A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region

Jin

Dong

et al. 2023

JGR Atmospheres

View full text Add to dashboard Cite

show abstract

“…This poses a challenge when using only atmospheric models such as WRF in coupled modeling frameworks. Various studies, including those by Nelson et al (2014) [31], Zambon et al (2014) [32], Lok et al (2022) [33], Li et al (2022) [34], further emphasize the significance of incorporating air-sea interactions to represent the climatology of weather phenomena accurately.…”

Section: Introductionmentioning

confidence: 99%

Integrating COAWST and OpenFAST for wind turbine loading

Vemuri,

Porchetta,

Munters

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Modern research endeavors in wind energy have been increasingly focused on achieving accurate representations of wind turbine loading across diverse atmospheric conditions. Recent advancements in numerical weather prediction techniques make it possible to downscale weather conditions for operational use, underscoring the importance of including air-sea interactions using models such as the Coupled-Ocean-Atmosphere-Wave-Sediment Transport model to improve wind energy predictions. Nevertheless, challenges of high computational costs, the elusive ”gray zone” in simulations, and creating accurate wind turbine digital twins for predictive modeling remain. The current research addresses this challenge by proposing a novel modeling framework integrating the COAWST model with the OpenFAST aeroelastic solver. The current research strives to bridge the gap between the different dynamic regimes involved under diverse atmospheric conditions to achieve real-world representative wind turbine loading. Therefore, a scaled wind turbine model is implemented in the OpenFAST aeroelastic solver. Further, this research tests and discusses the proposed model framework’s capabilities and limitations under extreme weather phenomena.

show abstract

“…Although atmospheric modeling retains its fundamental significance, there exists a pressing necessity to complement it with models that encompass the intricate interplay between the atmosphere and the ocean. This holistic approach is essential for a more accurate representation of the dynamics and outcomes of the tropical storm processes [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Simulating Heavy Rainfall Associated with Tropical Cyclones and Atmospheric Disturbances in Thailand Using the Coupled WRF-ROMS Model—Sensitivity Analysis of Microphysics and Cumulus Parameterization Schemes

Torsri,

Faikrua,

Peangta

et al. 2023

Atmosphere

View full text Add to dashboard Cite

Predicting heavy rainfall events associated with Tropical Cyclones (TCs) and atmospheric disturbances in Thailand remains challenging. This study introduces a novel approach to enhance forecasting precision by utilizing the coupled Weather Research and Forecasting (WRF) and Regional Oceanic Model (ROMS), known as WRF-ROMS. We aim to identify the optimal combination of microphysics (MP) and cumulus (CU) parameterization schemes. Three CU schemes, namely, Betts-Miller-Janjic (BMJ), Grell 3D Ensemble (G3), and Kain-Fritsch (KF), along with three MP schemes, namely, Eta (ETA), Purdue Lin (LIN), and WRF Single-moment 3-class (WSM3), are selected for the sensitivity analysis. Seven instances of heavy (35.1–90.0 mm) to violent (>90.1 mm) rainfall in Thailand, occurring in 2020 and associated with tropical storms and atmospheric disturbances, are simulated using all possible combinations of the chosen physics schemes. The simulated rain intensities are compared against observations from the National Hydroinformatics Data Center. Performance was assessed using the probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) metrics. While the models performed well for light (0.1–10.0 mm) to moderate (10.1–35.0 mm) rainfall, forecasting heavy rainfall remained challenging. Certain parameter combinations showed promise, like BMJ and KF with LIN microphysics, but challenges persisted. Analyzing density distribution of daily rainfall, we found effective parameterizations for different sub-regions. Our findings emphasize the importance of tailored parameterizations for accurate rainfall prediction in Thailand. This customization can benefit water resource management, flood control, and disaster preparedness. Further research should expand datasets, focusing on significant heavy rainfall events and considering climate factors, for example, the Madden-Julian Oscillation (MJO) for extended-range forecasts, potentially contributing to sub-seasonal and seasonal (S2S) predictions.

show abstract

Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall

Cited by 7 publications

References 36 publications

A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region

A Regional Air‐Sea Coupled Model Developed for the East Asia and Western North Pacific Monsoon Region

Integrating COAWST and OpenFAST for wind turbine loading

Simulating Heavy Rainfall Associated with Tropical Cyclones and Atmospheric Disturbances in Thailand Using the Coupled WRF-ROMS Model—Sensitivity Analysis of Microphysics and Cumulus Parameterization Schemes

Contact Info

Product

Resources

About