Low Frequency Predictive Skill Despite Structural Instability and Model Error
Abstract
Identifying and quantifying the effects of uncertainty in long range prediction for complex systems such as long range weather forecasting or short term climate change, OBJECTIVES The development of new techniques to quantify the response of complex systems to changes in external conditions, to assess the behavior of imperfect models for long range forecasting for complex systems and their model errors, and to devise new strategies to mitigate these model errors through efficient algorithms. This includes strategies for using data assimilation to make judicious model errors.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2014
- Accession Number
- ADA615957
Entities
People
- Andrew J. Majda
- Rafail V Abramov
Organizations
- New York University