Tropical Cyclone Prediction Using COAMPS-TC

Doyle, James D.; Hodur, Richard M.; Chen, Sue; Jin, Yi; Moskaitis, Jonathan R.; Wang, Shouping; Hendricks, Eric A.; Jin, Hao; Smith, T.

doi:10.5670/oceanog.2014.72

Cited by 75 publications

(47 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Initial results from ocean data assimilation studies with the Coupled Ocean Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC) model for a few TCs, including Matthew in 2016, have shown significant reductions in ocean forecast errors when ALAMO data are assimilated (Doyle et al, 2014;Chen et al, 2017).…”

Section: Alps-enabled Improvements In Tc Ocean-induced Dynamics and Imentioning

confidence: 99%

Autonomous and Lagrangian Ocean Observations for Atlantic Tropical Cyclone Studies and Forecasts

Goñi¹,

Todd²,

Jayne³

et al. 2017

Oceanog.

View full text Add to dashboard Cite

Section: Alps-enabled Improvements In Tc Ocean-induced Dynamics and Imentioning

confidence: 99%

Autonomous and Lagrangian Ocean Observations for Atlantic Tropical Cyclone Studies and Forecasts

Goñi¹,

Todd²,

Jayne³

et al. 2017

Oceanog.

View full text Add to dashboard Cite

“…It is also essential to use a high‐resolution (< 5 km resolution) coupled system to explicitly represent deep convection which results in a better simulated structure of the tropical cyclone (Fierro et al, ; Gentry & Lackmann, ; Jin et al, ). Few OWA coupling studies using this grid resolution have been identified (Doyle et al, ; Jin et al, ; Lee & Chen, ).…”

Section: Introductionmentioning

confidence: 99%

A New Coupled Ocean‐Waves‐Atmosphere Model Designed for Tropical Storm Studies: Example of Tropical Cyclone Bejisa (2013–2014) in the South‐West Indian Ocean

Pianezze

Barthe

Bielli

et al. 2018

J Adv Model Earth Syst

View full text Add to dashboard Cite

Ocean‐Waves‐Atmosphere (OWA) exchanges are not well represented in current Numerical Weather Prediction (NWP) systems, which can lead to large uncertainties in tropical cyclone track and intensity forecasts. In order to explore and better understand the impact of OWA interactions on tropical cyclone modeling, a fully coupled OWA system based on the atmospheric model Meso‐NH, the oceanic model CROCO, and the wave model WW3 and called MSWC was designed and applied to the case of tropical cyclone Bejisa (2013–2014). The fully coupled OWA simulation shows good agreement with the literature and available observations. In particular, simulated significant wave height is within 30 cm of measurements made with buoys and altimeters. Short‐term (< 2 days) sensitivity experiments used to highlight the effect of oceanic waves coupling show limited impact on the track, the intensity evolution, and the turbulent surface fluxes of the tropical cyclone. However, it is also shown that using a fully coupled OWA system is essential to obtain consistent sea salt emissions. Spatial and temporal coherence of the sea state with the 10 m wind speed are necessary to produce sea salt aerosol emissions in the right place (in the eyewall of the tropical cyclone) and with the right size distribution, which is critical for cloud microphysics.

show abstract

“…Studies utilising both idealised (Smith et al, 2014) and realistic model simulation (Green and Zhang, 2013) of hurricanes have demonstrated the sensitivity of the hurricane intensity to the surface layer parametrization schemes used in the model. These parametrization schemes are used to account for exchange of momentum, heat and moisture.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Sea Spray and Atmosphere–Wave Coupling on Air–Sea Exchange during Tropical Cyclone

Garg¹,

Ng²,

Srikanth³

2017

Preprint

View full text Add to dashboard Cite

Abstract. The study investigates the role of air-sea interface using numerical simulations of an Atlantic Hurricane Arthur (2014). More specifically, present study aims to discern the role ocean surface waves and sea spray play in modulating the intensity and structure of a tropical cyclone (TC). To investigate the effects of ocean surface waves and sea spray, numerical simulations were carried out using a coupled atmosphere-wave model where a sea spray microphysical model was incorporated within the coupled model. Furthermore, this study also explores how sea spray generation can be modelled using wave energy 5 dissipation due to whitecaps, where whitecaps are considered as the primary mode of spray droplets generation at hurricane intensity wind speeds. Three different numerical simulations including sea state dependent momentum flux, sea spray mediated heat flux and combination of former two processes with sea spray mediated momentum flux were conducted. The foregoing numerical simulations were evaluated against the National Data Buoy Center (NDBC) buoy and satellite altimeter measurements as well as a control simulation using an uncoupled atmosphere model. The results indicate that the model simulations 10 were able to capture the storm track and intensity, where the surface wave coupling results in a stronger TC. Moreover, it is also noted that when only spray mediated heat fluxes are applied in conjunction with sea state dependent momentum flux, they result in a slightly weaker TC, albeit stronger compared to the control simulation. However, when spray mediated momentum flux is applied together with spray heat fluxes, it results in a comparably stronger TC. The results presented here alludes to the role surface friction plays in intensification of a TC.

show abstract

Tropical Cyclone Prediction Using COAMPS-TC

Cited by 75 publications

References 23 publications

Autonomous and Lagrangian Ocean Observations for Atlantic Tropical Cyclone Studies and Forecasts

Autonomous and Lagrangian Ocean Observations for Atlantic Tropical Cyclone Studies and Forecasts

A New Coupled Ocean‐Waves‐Atmosphere Model Designed for Tropical Storm Studies: Example of Tropical Cyclone Bejisa (2013–2014) in the South‐West Indian Ocean

The Effects of Sea Spray and Atmosphere–Wave Coupling on Air–Sea Exchange during Tropical Cyclone

Contact Info

Product

Resources

About