A new technique for iceberg drift prediction
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Cited by (15)
Comparison of statistical iceberg forecast models
2018, Cold Regions Science and TechnologyCitation Excerpt :For Iceberg 3534 334 forecasts are performed. The mean end-position error (17) for all forecasts is extremely small (Table 11). The VAR and ICF methods have a similar performance and outperform the other statistical methods.
A review of iceberg and bergy bit hydrodynamic interaction with offshore structures
2017, Cold Regions Science and TechnologyCitation Excerpt :The model can be used to predict the probability of an iceberg coming within a certain radius of an offshore structure. Gaskill and Rochester (1984) demonstrated a hybrid model combining dynamic and statistical models. A dynamic equilibrium model was used considering wind, current and coriolis terms.
An estimation-forecast set-up for iceberg drift prediction
2016, Cold Regions Science and TechnologyCitation Excerpt :However, only small improvements were achieved by tuning the drag coefficients. Similar results were obtained by Gaskill and Rochester (1984) and Kubat et al. (2005). Keghouche et al. (2009) found that the drag coefficients become more important for longer periods of 1 to 2 months.
Hindcasting iceberg drift using current profiles and winds
1993, Cold Regions Science and TechnologyShort term motion analysis of icebergs in linear waves
1987, Cold Regions Science and TechnologyModelling of Labrador Sea pack ice, with an application to estimating geostrophic currents
1987, Cold Regions Science and Technology