Optimal Asset Distribution for Environmental Assessment and Forecasting Based on Observations, Adaptive Sampling, and Numerical Prediction
Abstract
Long Term Goals and Objectives. 1. Carry out cooperative real-time (sub)-mesoscale data-driven predictions with adaptive sampling and research and evaluate skill measures 2. Advance scientific understanding of 3D upwelling/relaxation dynamics and carry out budget analyses as possible (multi-balances, sensitivity studies, parameterizations, predictability) 3. Determine details of three metrics for adaptive sampling (coverage, dynamics, uncertainties) and develop schemes and exercise software for their integrated use.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2008
- Accession Number
- ADA533508
Entities
People
- Pierre F. J. Lermusiaux
Organizations
- Massachusetts Institute of Technology