THIS GRANT IS A CONTINUATION OF N00014-12-1-0912 Physics Constrained Stochastic-Statistical Models for Extended Range Environmental Prediction
Abstract
Funding is provided to create new simplified models which predict for the first time the key features of the MJO, new physics constrained nonlinear low order stochastic modeling, new physics constrained data mining of large data sets to reveal intermittency as well as low frequency variability, and finally, novel strategies for real time data assimilation of complex turbulent signals such as moisture coupled tropical waves.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 23, 2016
- Source ID
- N000141612161
Entities
People
- Andrew Majda
Organizations
- New York University
- Office of Naval Research
- United States Navy