On the interaction of observation and prior error correlations in data assimilation

By Alison M. Fowler, Sarah L. Dance, Joanne A. Waller. 2018

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The importance of prior error correlations in data assimilation has long been known; however, observation‐error correlations have typically been neglected. Recent progress has been made in estimating and accounting for observation‐error correlations, allowing for the optimal use of denser observations. Given this progress, it is now timely to ask how prior and observation‐error correlations interact and how this affects the value of the observations in the analysis. Addressing this question is essential to understanding the optimal design of future observation networks for high‐resolution numerical weather prediction. This article presents new results, which unify and advance upon previous studies on this topic.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/6a7d4c55b2be0711a421cf1dbff129a27a266395