Abstract
This article describes a series of coastal predictive skill (CPS) experiments that will be carried out this summer at Rutgers University, USA. Its purpose is to evaluate a relocatable data-assimilative, coastal forecast model coupled to a multi-platform, adaptive sampling network in a data rich and process rich environment. The first CPS experiment will emphasize model-driven adaptive sampling with autonomous systems to improve nowcast skill via data assimilation. A second experiment will take place in July 1999 and will emphasize coupling to high-resolution atmospheric and surface-wave forecast models that provide the boundary conditions necessary to improve forecast skill. The objective is to accurately forecast the development and evolution of the recurrent upwelling center located offshore Tuckerton.
Original language | English (US) |
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Pages (from-to) | 63-69 |
Number of pages | 7 |
Journal | Sea Technology |
Volume | 39 |
Issue number | 4 |
State | Published - Apr 1998 |
All Science Journal Classification (ASJC) codes
- Ocean Engineering