Investigation of Model Sensitivities and Model Errors With Relation to Data Assimilation Systems
Abstract
LONG-TERM GOALS. To investigate basic predictability issues related to model sensitivities to uncertainties in the initial and boundary conditions; how these sensitivities are dependent on different model dynamics and different data-types; how their assessment can lead to the evaluation of model errors as intrinsic component of the data assimilation system used. OBJECTIVES. a) To assess the dynamical mechanisms that ultimately limit the predictability of a flow system. b) To assess how the flow predictability is dependent upon uncertainties in the initial and/or boundary conditions. c) To assess uncertainty in models by evaluating estimates of model error covariances from the assimilation method used.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1999
- Accession Number
- ADA630245
Entities
People
- Paola Malanotte-rizzoli
Organizations
- Massachusetts Institute of Technology