Adaptive Sampling and Prediction (ASAP) 2006

Principal Investigator: Sharanya J. Majumdar (RSMAS/MPO/U.Miami)
Collaborators: Yi Chao, Zhijin Li, John Farrara (JPL), Pierre Lermusiaux (Harvard), Jim Bellingham, Yanwu Zhang (MBARI), Craig Bishop, Xiaodong Hong (NRL Monterey), Naomi Leonard (Princeton)

Current Links (August 2006)

MONTEREY BAY '06 EXPERIMENT

Real-time ROMS Ensemble and ETKF Adaptive Sampling Guidance

ASAP Virtual Control Room (MBARI)

Old Links (March 2006)

VIRTUAL PILOT STUDY (VPS) ENSEMBLE/ETKF DATA AND GRAPHICS

ASAP Virtual Control Room (MBARI)

2006 TIMELINE

Summary

During August 2003, numerous observational platforms were deployed in and around Monterey Bay during the AOSN-II field trial. Two numerical models were used to predict the state of Monterey Bay, for the first time, assimilating much of the in-situ data. The main physical process of interest during AOSN-II was coastal upwelling, although other features such as eddy circulations were investigated. The upcoming experiment in August 2006 will build on the 2003 experiment with more ambitious objectives related to adaptive sampling and prediction.

Main objectives
(1) To understand the dominant sources of uncertainty in ocean models in the Monterey Bay region
(2) To develop a reliable ensemble-based adaptive sampling strategy to select the time and type of autonomous observations to be collected, to improve the analysis or forecast of a physical process of interest (e.g. upwelling, mesoscale eddies)

Ensembles of Regional Ocean Modeling System (ROMS) forecasts are developed, based on (a) Initial perturbations using the breeding technique, and (b) Phase-shifted perturbations of COAMPS model wind stress forecast fields. The Ensemble Transform Kalman Filter (ETKF) adaptive sampling strategy is applied on this ensemble.