scispace - formally typeset
Open AccessJournal ArticleDOI

Singular Vectors, Metrics, and Adaptive Observations.

Reads0
Chats0
TLDR
In this paper, a third use of singular vectors is proposed as part of a strategy to target adaptive observations to “sensitive” parts of the atmosphere using unmanned aircraft, though calculations in this paper are motivated by the upstream component of the Fronts and Atlantic Storm-Track Experiment.
Abstract
Singular vectors of the linearized equations of motion have been used to study the instability properties of the atmosphere–ocean system and its related predictability. A third use of these singular vectors is proposed here: as part of a strategy to target adaptive observations to “sensitive” parts of the atmosphere. Such observations could be made using unmanned aircraft, though calculations in this paper are motivated by the upstream component of the Fronts and Atlantic Storm-Track Experiment. Oceanic applications are also discussed. In defining this strategy, it is shown that there is, in principle, no freedom in the choice of inner product or metric for the singular vector calculation. However, the correct metric is dependent on the purpose for making the targeted observations (to study precursor developments or to improve forecast initial conditions). It is argued that for predictability studies, where both the dynamical instability properties of the system and the specification of the opera...

read more

Citations
More filters
Book

Atmospheric Modeling, Data Assimilation and Predictability

TL;DR: A comprehensive text and reference work on numerical weather prediction, first published in 2002, covers not only methods for numerical modeling, but also the important related areas of data assimilation and predictability.
Journal ArticleDOI

An Ensemble Adjustment Kalman Filter for Data Assimilation

TL;DR: In this paper, an ensemble adjustment Kalman filter is proposed to estimate the probability distribution of the state of a model given a set of observations using Monte Carlo approximations to the nonlinear filter.
Journal ArticleDOI

Atmospheric Modeling, Data Assimilation, and Predictability

Christopher K. Wikle
- 01 Nov 2005 - 
TL;DR: This monograph is an outstanding monograph on current research on skewelliptical models and its generalizations and does an excellent job presenting the depth of methodological research as well as the breath of application regimes.
Journal ArticleDOI

Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects

TL;DR: The Ensemble Transform Kalman Filter (ET KF) as discussed by the authors is a suboptimal Kalman filter that uses ensemble transformation and a normalization to obtain the prediction error covariance matrix associated with a particular deployment of observational resources.
Journal ArticleDOI

Ensemble forecasting

TL;DR: The extent to which the current ECMWF ensemble prediction system is capable of predicting flow-dependent variations in uncertainty is assessed for the large-scale flow in mid-latitudes.
References
More filters
Journal ArticleDOI

On the use and significance of isentropic potential vorticity maps

TL;DR: In this article, the Lagrangian conservation principle for potential vorticity and potential temperature is extended to take the lower boundary condition into account, where the total mass under each isentropic surface is specified.
Journal ArticleDOI

Hydrodynamic Stability Without Eigenvalues

TL;DR: A reconciliation of findings with the traditional analysis is presented based on the "pseudospectra" of the linearized problem, which imply that small perturbations to the smooth flow may be amplified by factors on the order of 105 by a linear mechanism even though all the eigenmodes decay monotonically.
Journal ArticleDOI

The ECMWF Ensemble Prediction System: Methodology and validation

TL;DR: The European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System (EPS) is described in this article, where each ensemble comprises 32 10-day forecasts starting from initial conditions in which dynamically defined perturbations have been added to the operational analysis.
Journal ArticleDOI

Ensemble Forecasting at NMC: The Generation of Perturbations

TL;DR: The new method, “breeding of growing modes”, or BGM, consists of one additional, perturbed short-range forecast, introduced on top of the regular analysis in an analysis cycle, to generate growing modes of the atmosphere.
Journal ArticleDOI

A Jacobi--Davidson Iteration Method for Linear EigenvalueProblems

TL;DR: In this article, a new method for the iterative computation of a few extremal eigenvalues of a symmetric matrix and their associated eigenvectors is proposed, based on an old and almost unknown method of Jacobi.
Related Papers (5)