Continuum covariance propagation for understanding variance loss in advective systems
Shay Gilpin, Tomoko Matsuo, Stephen E. Cohn

TL;DR
This paper investigates the causes of variance loss in covariance propagation for advective systems, revealing that hyperbolic PDE characteristics lead to discontinuities affecting covariance dynamics, which standard numerical methods fail to capture.
Contribution
It identifies the hyperbolic nature of covariance dynamics as a source of variance loss and proposes the need for local covariance propagation methods tailored to these discontinuities.
Findings
Variance loss and gain occur during covariance propagation even at full rank.
Discontinuities in covariance dynamics are caused by hyperbolicity near small correlation lengths.
Standard numerical methods inadequately capture covariance evolution near discontinuities.
Abstract
Motivated by the spurious variance loss encountered during covariance propagation in atmospheric and other large-scale data assimilation systems, we consider the problem for state dynamics governed by the continuity and related hyperbolic partial differential equations. This loss of variance is often attributed to reduced-rank representations of the covariance matrix, as in ensemble methods for example, or else to the use of dissipative numerical methods. Through a combination of analytical work and numerical experiments, we demonstrate that significant variance loss, as well as gain, typically occurs during covariance propagation, even at full rank. The cause of this unusual behavior is a discontinuous change in the continuum covariance dynamics as correlation lengths become small, for instance in the vicinity of sharp gradients in the velocity field. This discontinuity in the…
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Taxonomy
TopicsMeteorological Phenomena and Simulations · Climate variability and models · Fluid Dynamics and Turbulent Flows
