An Innovative Coastal-Ocean Observing Network (ICON)
Abstract
The Innovative Coastal-Ocean Observing Network (ICON) is a partnership of government, academic, and industrial entities funded by the National Ocean Partnership Program (NOPP). Its goal is to bring together modern measurement technologies, to develop new technologies, and to integrate them within a data assimilating coastal ocean circulation model. The major components of the observing network include: (1) surface current maps from shore-based high frequency (HF) radar installations; (2) subsurface currents, temperature, salinity, and bio-optical properties plus surface meteorological properties from several deep-ocean moorings; (3) sea surface temperature and color from satellites; and (4) along-track temperature and temperature variances from two acoustic tomography slices through the region. The model performance is quite good at seasonal time scales, which is a validation of the one-way nesting because these variations are successfully tracked by the PWC regional-scale model. At higher frequencies, the model does not reproduce the observed level of variability. For the a long shore currents down to 150 meter depth, data assimilation resulted in greater correlation between modeled and observed currents.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 15, 2002
- Accession Number
- ADA407221
Entities
People
- Daniel M. Fernandez
- Francisco P. Chavez
- Igor Shulman
- Jeffrey D. Paduan
- John F. Vesecky
Organizations
- California State University