Accession Number:

ADA582359

Title:

Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observations, Adaptive Sampling, and Numerical Prediction

Descriptive Note:

Final rept. 1 Jul 2008-31 Dec 2012

Corporate Author:

MONTEREY BAY AQUARIUM RESEARCH INST MOSS LANDING CA

Personal Author(s):

Report Date:

2013-03-18

Pagination or Media Count:

9.0

Abstract:

The objective of this Multi-University Research Initiative MURI grant, subtitled, The Adaptive Sampling and Prediction System ASAP was to learn how to deploy, direct, and utilize autonomous vehicles and other mobile sensing platforms most efficiently to sample the ocean, assimilate the data into numerical models in real or near-real time, and predict future conditions with minimal error. The scientific goal was to close the heat budget for a control volume surrounding a three-dimensional coastal upwelling center, and identify via the magnitude of the terms the relative importance of the surface fluxes, boundary layer processes, alongshore advection, and mesoscale interactions in determining the temperature changes within the box. The work resulted in seven publications in refereed journals authored or co-authored by the Pis, and the eighth is in advanced preparation.

Subject Categories:

  • Physical and Dynamic Oceanography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE