A bimodality trap in model projections

Abstract

We expose a phenomenon that can occur in the process of joint state and parameter estimation. Such estimation is crucial in tuning parameters for climate models and offline parameterizations used in the models. We show how a bimodal distribution can temporarily appear during this process and that a scheme relying on linear and Gaussian approximations may cause it to get trapped in the wrong mode and hence lead to faulty estimation. We propose a practical and effective resolution using a two-stage filtering process.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 01, 2015
Source ID
10.1063/1.4915090

Entities

People

  • Chris Jones
  • Naratip Santitissadeekorn

Organizations

  • National Science Foundation
  • Office of Naval Research
  • University of North Carolina at Chapel Hill
  • University of Surrey

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Statistical inference.