Special CASPO Seminar: Prof. Emil Stanev, "Ocean forecasting: From regional to coastal scales (operational oceanography and data assimilation)"

02/20/2018 - 1:30pm to 2:30pm
101 Nierenberg Hall
Event Description: 

Prof. Emil Stanev

University of Oldenburg

Abstract: In this talk, Prof. Stanev will describe recent developments based
on advances in coastal ocean forecasting in the fields of numerical
modeling, data assimilation, and observational array
design, exemplified by the Coastal Observing System for the
North and Arctic Seas (COSYNA). The region of interest is
the North and Baltic seas, and most of the coastal examples
are for the German Bight. Several pre-operational applications
are presented to demonstrate the outcome of using the
best available science in coastal ocean predictions. The applications
address the nonlinear behavior of the coastal ocean,
which for the studied region is manifested by the tidal distortion
and generation of shallow-water tides. Led by the motivation
to maximize the benefits of the observations, this
study focuses on the integration of observations and modeling
using advanced statistical methods. Coastal and regional
ocean forecasting systems do not operate in isolation but
are linked, either weakly by using forcing data or interactively
using two-way nesting or unstructured-grid models.
Therefore, the problems of downscaling and upscaling are
addressed, along with a discussion of the potential influence
of the information from coastal observatories or coastal
forecasting systems on the regional models. One example
of coupling coarse-resolution regional models with a fineresolution
model interface in the area of straits connecting
the North and Baltic seas using a two-way nesting method is
presented. Illustrations from the assimilation of remote sensing,
in situ and high-frequency (HF) radar data, the prediction
of wind waves and storm surges, and possible applications
to search and rescue operations are also presented. Concepts
for seamless approaches to link coastal and regional
forecasting systems are exemplified by the application of an
unstructured-grid model for the Ems Estuary.

For more information on this event, contact: 
Art Miller
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