Assimilation of altimeter significant wave height into a third-generation global spectral wave model

Bhatt, Vihang; Kumar, Raj; Basu, Samik; Agarwal, Vijay K.

doi:10.1109/tgrs.2004.839436

Cited by 13 publications

(7 citation statements)

References 8 publications

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“…The analyses of wave and land-surface parameters are computed separately from the coupled ocean-atmosphere variational method. The WAM model assimilates altimeter data based on an optimal interpolation (OI) method (Lorenc, 1981;Lionello et al, 1992). Wave observation misfits are computed by the coupled model in the last nonlinear integration (third yellow box in Figure 2).…”

Section: The Coupled Assimilation Systemmentioning

confidence: 99%

A coupled data assimilation system for climate reanalysis

Laloyaux

Balmaseda

Dee

et al. 2015

Quart J Royal Meteoro Soc

176

143

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A coupled data assimilation system has been developed at the European Centre for Medium‐Range Weather Forecasts (ECMWF), which is intended to be used for the production of global reanalyses of the recent climate. The system assimilates a wide variety of ocean and atmospheric observations and produces ocean–atmosphere analyses with a coupled model. Employing the coupled‐model constraint in the analysis implies that assimilation of an ocean observation has immediate impact on the atmospheric state estimate and, conversely, assimilation of an atmospheric observation affects the ocean state. This covariance between atmosphere and ocean induced by the analysis method is illustrated with simple numerical experiments. Realistic data assimilation experiments based on the global observing system are then used to assess the quality of the assimilation method. Comparison with an uncoupled system shows a mostly neutral impact overall, with slightly improved temperature estimates in the upper ocean and lower atmosphere. These preliminary results are considered of interest for the ongoing community efforts focusing on coupled data assimilations.

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Section: The Coupled Assimilation Systemmentioning

confidence: 99%

A coupled data assimilation system for climate reanalysis

Laloyaux

Balmaseda

Dee

et al. 2015

Quart J Royal Meteoro Soc

176

143

View full text Add to dashboard Cite

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“…This experiment clearly indicates that data assimilation provides positive feedback to the problem of wave prediction. It has been established that the assimilation of satellite-derived significant wave height in the wave model improves only the wave height (Bhatt et al 2005;Aouf et al 2006). In the case of double peak spectra combining wind waves and swell waves, assimilation of wave height alone is unable to capture both peaks.…”

Section: Methodsmentioning

confidence: 99%

Improvement in predictability of waves over the Indian Ocean

et al. 2008

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Accurate prediction of ocean surface waves is a challenging task with many associated difficulties. Availability of good quality wind and wave information from satellite platforms inspired the scientific community to assimilate such data in various spectral wave models for enhancing the accuracy of prediction. Over the Indian Ocean, which is the region of interest for the present study, wave heights in extreme situation can go up to 12-14 m, thereby increasing the probability of coastal hazards. This region is further governed by the southern ocean swells that propagate thousands of kilometers. These are, in general, not well captured by the spectral wave models. Therefore, assimilation of altimeter data in open ocean wave model WAM has been attempted with the aim of enhancing the quality of prediction of significant wave height. Further, simulated wave spectra have been assimilated in a coastal wave model SWAN. This assimilation has been found to significantly improve the prediction of the height of wind waves as well as swell waves.

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“…Lionello et al (1992) assimilated altimeter wave data in a third-generation wave model. Wave prediction studies have been carried out for the Indian Ocean region using scatterometer winds (Bhatt et al, 2005(Bhatt et al, , 2006Vethamony et al, 2006;Swain et al, 2004;Muraleedharan et al, 2009). For the coastal regions of India (e.g.…”

Section: Introductionmentioning

confidence: 99%

Propagation of Atlantic Ocean swells in the north Indian Ocean: a case study

Volvaiker

Vethamony

Aboobacker

et al. 2012

Nat. Hazards Earth Syst. Sci.

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An analysis of altimeter significant wave height data of May 2007 revealed the occurrence of an extreme weather event off southern tip of South Africa in the Atlantic Ocean, and generation of a series of very high swells at 40° S. These swells propagated towards northeast and broke over La Réunion island in the Indian Ocean on 12 May 2007. The wave model WAVEWATCH III was used to study the propagation of these swells in the Indian Ocean. The model was validated for the Indian Ocean using moored buoy data at 12 locations and merged altimeter wave data. The wave model accurately reproduced the event of May 2007. Swell heights, of the order of 15.0 m, at the generation area reduced to 6.0 m near La Réunion island. This study shows that the swells generated in the Roaring Forties of the Atlantic Ocean (between 15° to 80° E longitude) propagate in the NE/NNE direction towards the north Indian Ocean, and wave characteristics of the Arabian Sea are least influenced compared to that of Bay of Bengal, when swells from the Atlantic Ocean enter the Indian Ocean. The double peak spectrum extracted for the Bay of Bengal indicates that one of the peaks is due to swells generated off southern tip of South Africa

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Assimilation of altimeter significant wave height into a third-generation global spectral wave model

Cited by 13 publications

References 8 publications

A coupled data assimilation system for climate reanalysis

A coupled data assimilation system for climate reanalysis

Improvement in predictability of waves over the Indian Ocean

Propagation of Atlantic Ocean swells in the north Indian Ocean: a case study

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