Accession Number:

ADA605552

Title:

Designing Optimal Sampling Networks, Fixed and Adaptive for Ocean Forecast Modeling

Descriptive Note:

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE DEPT OF EARTH ATMOSPHERIC AND PLANETARY SCIENCES

Personal Author(s):

Report Date:

2007-09-30

Pagination or Media Count:

7.0

Abstract:

LONG TERM GOAL. The overall long term goal is to develop innovative, practical and efficient methodologies for the design of fixed and adaptive oceanic platforms, eulerian and lagrangian, such as fixed moorings, profiling moorings, gliders, drifters, AUVs. OBJECTIVES. The main objective is to develop this methodology for the Gulf of MaineGeorges Bank GMGB region where an integrated model system has been developed at the University of Massachusetts at Dartmouth centered around the Finite- Volume Coastal Ocean circulation Model FVCOM. APPROACH. The technical approach will be to test the available data assimilation packages, i.e. Reduced Rank Kalman Filter RRKF Ensemble Kalman Filter EnKF Ensemble Square Root Kalman Filter EnSRF and the Ensemble Transform Kalman Filter ETKF in the idealized test-cases outlined in the report. Successively, the filters will be adapted to FVCOM in the GMGB configuration for coastal circulation prediction and adaptive sampling studies.

Subject Categories:

  • Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE