The Role of Roughness and Stability on the Momentum Flux in the Marine Atmospheric Surface Layer: A Study on the Southwestern Atlantic Ocean

Hackerott, João A.; Pezzi, Luciano Ponzi; Paskyabi, Mostafa Bakhoday; Oliveira, Amauri Pereira de; Reuder, Joachim; Souza, Ronald Buss de; Camargo, Ricardo de

doi:10.1002/2017jd027994

Cited by 16 publications

(38 citation statements)

References 62 publications

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“…By default apply "ST3" source terms (Komen et al, 1994) with tuning described by Bidlot et al (2012). Non-linear wave-wave interactions parameterized using Discrete Interaction Approximation (Hasselmann et al, 1985). Wave energy propagation using second order upstream non-oscillatory scheme (Li, 2008) with "Garden Sprinkler Effect" alleviation.…”

Section: Horizontal Boundary Conditionsmentioning

confidence: 99%

The UKC3 regional coupled environmental prediction system

et al. 2019

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Abstract. This paper describes an updated configuration of the regional coupled research system, termed UKC3, developed and evaluated under the UK Environmental Prediction collaboration. This represents a further step towards a vision of simulating the numerous interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land using more integrated regional coupled prediction systems at kilometre-scale resolution. The UKC3 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean surface waves (WAVEWATCH III®), coupled together using OASIS3-MCT libraries. The major update introduced since the UKC2 configuration is an explicit representation of wave–ocean feedbacks through introduction of wave-to-ocean coupling. Ocean model results demonstrate that wave coupling, in particular representing the wave-modified surface drag, has a small but positive improvement on the agreement between simulated sea surface temperatures and in situ observations, relative to simulations without wave feedbacks. Other incremental developments to the coupled modelling capability introduced since the UKC2 configuration are also detailed. Coupled regional prediction systems are of interest for applications across a range of timescales, from hours to decades ahead. The first results from four simulation experiments, each of the order of 1 month in duration, are analysed and discussed in the context of characterizing the potential benefits of coupled prediction on forecast skill. Results across atmosphere, ocean and wave components are shown to be stable over time periods of weeks. The coupled approach shows notable improvements in surface temperature, wave state (in near-coastal regions) and wind speed over the sea, whereas the prediction quality of other quantities shows no significant improvement or degradation relative to the equivalent uncoupled control simulations.

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Section: Horizontal Boundary Conditionsmentioning

confidence: 99%

The UKC3 regional coupled environmental prediction system

et al. 2019

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“…There is also a critical dependence on the ongoing collection and analysis of relevant air-sea flux measurements in different regions for improving process understanding and supporting model evaluation (e.g. Hackerott et al, 2018;Vinayachandran et al, 2018). 25 Research using a range of km-scale regional coupled prediction systems continues to deliver new insights.…”

Section: Recent Progress In Regional Coupled Model Research Developmmentioning

confidence: 99%

The UKC3 regional coupled environmental prediction system

Lewis¹,

Sanchez²,

Fallmann³

et al. 2018

Preprint

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Abstract. This paper describes an updated configuration of the regional coupled research system, termed UKC3, developed and evaluated under the UK Environmental Prediction collaboration. This represents a further step towards a vision of simulating the numerous interactions and feedbacks between different physical and biogeochemical components of the environment across sky, sea and land using more integrated regional coupled prediction systems at km-scale resolution. The UKC3 coupled system incorporates models of the atmosphere (Met Office Unified Model), land surface with river routing (JULES), shelf-sea ocean (NEMO) and ocean surface waves (WAVEWATCH III), coupled together using OASIS3-MCT libraries. The major update introduced since the UKC2 configuration is an explicit representation of wave processes in the ocean and their feedbacks through wave-to-ocean coupling. Ocean model results demonstrate that wave coupling, in particular representing the wave modified surface drag, has a small but positive improvement on the agreement between simulated sea surface temperatures and in situ observations, relative to simulations without wave feedbacks. Other incremental developments to the coupled modelling capability introduced since the UKC2 configuration are also detailed. Coupled regional prediction systems are of interest for applications across a range of timescales, from hours to decades ahead. The first results of simulations run over extended periods, covering four experiments each of order one month in duration are therefore analysed and discussed in the context of further characterising the potential benefits of coupled prediction on forecast skill, and on the stability of such systems over longer time periods. Results across atmosphere, ocean and wave components are shown to be of at least comparable skill to the equivalent uncoupled control simulations, with notable improvements demonstrated in surface temperature and wave state predictions in some near-coastal regions, and in wind speeds over the sea.

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“…However, WW3 is prone to overestimating the drag coefficient for hurricane winds, leading to unrealistically high wave growth [30], since the WW3 model is supported by wave data measured in low-to-moderate wind conditions [29,53]. According to in situ measurements, the drag coefficient decreases as the wind speed increases [54]. Fetch is another important influence for the sea surface roughness [55], and the fetch can be approximately estimated by the pre-peak time.…”

Section: Gust Factormentioning

confidence: 99%

An Efficient Method for Simulating Typhoon Waves Based on a Modified Holland Vortex Model

Wang

Zhang

Liang

et al. 2020

JMSE

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A combination of the WAVEWATCH III (WW3) model and a modified Holland vortex model is developed and studied in the present work. The Holland 2010 model is modified with two improvements: the first is a new scaling parameter, bs, that is formulated with information about the maximum wind speed (vms) and the typhoon’s forward movement velocity (vt); the second is the introduction of an asymmetric typhoon structure. In order to convert the wind speed, as reconstructed by the modified Holland model, from 1-min averaged wind inputs into 10-min averaged wind inputs to force the WW3 model, a gust factor (gf) is fitted in accordance with practical test cases. Validation against wave buoy data proves that the combination of the two models through the gust factor is robust for the estimation of typhoon waves. The proposed method can simulate typhoon waves efficiently based on easily accessible data sources.

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The Role of Roughness and Stability on the Momentum Flux in the Marine Atmospheric Surface Layer: A Study on the Southwestern Atlantic Ocean

Cited by 16 publications

References 62 publications

The UKC3 regional coupled environmental prediction system

The UKC3 regional coupled environmental prediction system

The UKC3 regional coupled environmental prediction system

An Efficient Method for Simulating Typhoon Waves Based on a Modified Holland Vortex Model

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