Enhancement of the predictability in one-way nesting of a regional ocean model

Abstract

Dynamical downscaling with nested regional oceanographic models has been demonstrated to be an effective approach for both operationally forecasted sea weather on regional scales and projections of future climate change and its impact on the ocean. However, when nesting procedures are carried out in dynamic downscaling from a larger-scale model or set of observations to smaller scales, there are two big issues which affect to quality of nested solution. The first issue is unavoidable errors due to the differences in grid sizes and updating intervals. The present work assesses the impact of such errors produced by nesting procedures on the downscaled results from Ocean Regional Circulation Models. Errors are identified and evaluated based on their sources and characteristics by employing the Big-Brother Experiment (BBE). The BBE uses the same model to produce both nesting and nested simulation