Abstract
In this paper we examine the fundamental issues associated with the cycling of data assimilation and prediction in the case where observations are received after a delay, but we seek to assimilate them immediately on receipt, or within a short time of receipt. We obtain the optimal solution to this problem in the linear and non-linear cases, and explore its relation to simplified strategies which are adaptations of contemporary methods for large-scale data assimilation. We also discuss the challenges facing such cycling in large-scale numerical weather prediction.
DOI: https://doi.org/10.1080/16000870.2017.1409061 | Journal eISSN: 3035-9554
Language: English
Page range: 1409061 - 1409061
Submitted on: Aug 10, 2017
Accepted on: Nov 14, 2017
Published on: Jan 1, 2017
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2017 T. J. Payne, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.
