Intercomparison of oceanic and atmospheric forced and coupled mesoscale simulations

Josse, Patrick; Caniaux, Guy; Giordani, Hervé; Planton, Serge

doi:10.1007/s005850050783

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…These studies, however, focus either on single cases (e.g., Josse et al 1999) or are based on regional models (e.g., Gustafsson et al 1998;Hagedorn et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Short-Range and Medium-Range Weather Forecasting in the Extratropics during Wintertime with and without an Interactive Ocean

Jung

2006

Monthly Weather Review

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The ECMWF monthly forecasting system is used to investigate the impact that an interactive ocean has on short-range and medium-range weather predictions in the Northern Hemisphere extratropics during wintertime. On a hemispheric scale the predictive skill for mean sea level pressure (MSLP) with and without an interactive ocean is comparable. This can be explained by the relatively small impact that coupling has on MSLP forecasts. In fact, deterministic and ensemble integrations reveal that the magnitude of forecast error and the perturbation growth due to analysis uncertainties, respectively, by far outweigh MSLP differences between coupled and uncoupled integrations. Furthermore, no significant difference of the ensemble spread between the uncoupled and coupled system is found. The authors' conclusions apply equally for a number of cases of rapidly intensifying extratropical cyclones in the North Atlantic region. Further experimentation with different atmospheric model versions, different horizontal atmospheric resolutions, and different ocean model formulation reveals the robustness of the findings. The results suggest that (for the cases, resolutions, and model complexities considered is this study) the benefit of using coupled atmosphere-ocean models to carry out 1-10-day MSLP forecasts is relatively small, at least in the Northern Hemisphere extratropics during wintertime.

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“…These studies, however, focus either on single cases (e.g., Josse et al 1999) or are based on regional models (e.g., Gustafsson et al 1998;Hagedorn et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Short-Range and Medium-Range Weather Forecasting in the Extratropics during Wintertime with and without an Interactive Ocean

Jung

2006

Monthly Weather Review

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“…Apparently, a shorter time-averaging period for the surface fluxes and/or a proper averaging over nonlinear behavior is needed to simulate the correct ocean climatology. Accurate observations of highresolution surface flux components are also needed to identify and resolve problems, such as the model drift that characterizes most coupled models (e.g., Josse et al 1999). …”

mentioning

confidence: 99%

Seaflux

Curry¹,

Bentamy²,

Bourassa³

et al. 2004

Bull. Amer. Meteor. Soc.

143

130

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Satellite-based datasets of surface turbulent fluxes over the global oceans are being evaluated and improved.O cean surface fluxes of heat, moisture, and momentum observed during field experiments show strong variability on temporal scales that range from the diurnal cycle to the life cycle of storms, and on spatial scales as small as that of an individual convective cloud. High-frequency variability (e.g., diurnal, storm scale) in tropical air-sea fluxes has been hypothesized to influence intraseasonal and interannual variability of the monsoon (e.g., Webster et al. 1998) and the Pacific Ocean warm pool and El Nino (e.g., Sui and Lau 1997;Fasullo and Webster 2000). At high latitudes, large variations in surface fluxes and sea surface temperature are seen in response to storms, which impact the temperature, density, and mixing in the upper ocean, further influencing the atmospheric dynamics and thermodynamics. Storm-scale events have been hypothesized (e.g., Marshall et al. 1998;Nardelli and Salusti 2000) to be associated with ocean convection in the high-latitude water mass formation regions, contributing to deep water formation and the global ocean thermohaline circulation. Ocean mixing induced by tropical cyclones might play an important role in driving the global ocean thermohaline circulation and, thereby,

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Assimilation of satellite altimeter data in a primitive-equation model of the Azores–Madeira region

Gavart

Mey

Caniaux

1999

Dynamics of Atmospheres and Oceans

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Intercomparison of oceanic and atmospheric forced and coupled mesoscale simulations

Cited by 3 publications

References 22 publications

Short-Range and Medium-Range Weather Forecasting in the Extratropics during Wintertime with and without an Interactive Ocean

Short-Range and Medium-Range Weather Forecasting in the Extratropics during Wintertime with and without an Interactive Ocean

Seaflux

Assimilation of satellite altimeter data in a primitive-equation model of the Azores–Madeira region

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