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Conventional surface related multiple prediction for towed streamer configuration is flawed by the sea surface level variation and sea surface reflection coefficient fluctuation. Knowledge of the sea surface and reflection coefficient allows approximate correction of the prediction errors. Based on a novel dual-sensor towed streamer acquisition we propose a multiple prediction approach from the down-going vertical velocity field and up-going pressure field. This approach handles the obliquity factor and sea surface variations implicitly and may reduce bad-weather-related acquisition downtime.