Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation

  • Jiang Z
  • Wang H
  • Zhou F
  • et al.
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Conditional nonlinear optimal perturbation (CNOP), which is a natural extension of the singular vector into the nonlinear regime, is applied to ensemble prediction study and the determination of sensitive area in adaptive observations. The purpose of this paper is to summarize the recent progresses of the authors in these fields.

Cite

CITATION STYLE

APA

Jiang, Z., Wang, H., Zhou, F., & Mu, M. (2009). Applications of Conditional Nonlinear Optimal Perturbations to Ensemble Prediction and Adaptive Observation. In Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (pp. 231–252). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-71056-1_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free