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Open AccessJournal ArticleDOI

A Method for Adjoint Variational Data Assimilation with Physical “On–Off” Processes

Mu Mu, +1 more
- 15 Aug 2003 - 
- Vol. 60, Iss: 16, pp 2010-2018
TLDR
In this paper, two kinds of typical on-off switches represented in idealized simple models are investigated: the zero-order discontinuous switch (Type I) and the first-order switching (Type II) in both time-continuous and discrete circumstances.
Abstract
Since the accuracy of the tangent linear approximation of moist physics in a mesoscale model is case dependent, the problem related to the variational data assimilation with physical “on–off” processes is studied further in both time-continuous and discrete circumstances. Two kinds of typical on–off switches represented in idealized simple models are investigated: the zero-order discontinuous switch (Type I) and the first-order discontinuous switch (Type II). The main results are as follows. For Type I: 1) For the case in which the model is time continuous, the gradient of the cost function with respect to the initial condition exists except for the threshold. 2) In the time-discrete case, there are zigzag discontinuities in the cost function, and the method that keeps the switches in the tangent linear model the same as in the forward model (called Zou's method) is able to compute the correct gradient where it exists. An optimization with this gradient might yield a local minimum rather than the...

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Citations
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An ensemble-based explicit four-dimensional variational assimilation method

TL;DR: In this paper, the authors proposed a new method (referred to as POD-E4DVAR) by merging the Monte Carlo method and the proper orthogonal decomposition (POD) technique into 4DVMAR to transform an implicit optimization problem into an explicit one.
Journal ArticleDOI

Nonlinear Atmospheric and Climate Dynamics in China (2003--2006): A Review

TL;DR: A review of recent advances in the study of nonlinear atmospheric and climate dynamics in China can be found in this paper, where major achievements in the following eight areas are covered: nonlinear error dynamics and predictability; nonlinear analysis of observational data; eddy-forced envelope Rossby soliton theory; sensitivity and stability of the ocean's thermohaline circulation, nonlinear wave dynamics; non-linear analysis on fluctuations in the atmospheric boundary layer; the basic structures of atmospheric motions; some applications of variational methods.
Dissertation

Analyse de sensibilité et estimation de paramètres pour la modélisation hydrologique : potentiel et limitations des méthodes variationnelles

TL;DR: In this article, a set of methods for the modelisation hydrologique (analyse de sensibilite, assimilation de donnees, propagation d'incertitudes) are presented.
Journal ArticleDOI

An explicit four-dimensional variational data assimilation method

TL;DR: In this article, a new data assimilation method called the explicit four-dimensional variational (4DVAR) method is proposed, in which the singular value decomposition (SVD) is used to construct the orthogonal basis vectors from a forecast ensemble in a 4D space.
References
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Journal ArticleDOI

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TL;DR: In this paper, two general algorithms for solving constrained minimization problems are presented and discussed in the context of analysis and assimilation of meteorological observations, in particular in terms of their computational cost.
Journal ArticleDOI

Some numerical experiments with variable-storage quasi-Newton algorithms

TL;DR: It is found appropriate to use a diagonal matrix, generated by an update of the identity matrix, so as to fit the Rayleigh ellipsoid of the local Hessian in the direction of the change in the gradient.
Journal ArticleDOI

Variational Data Assimilation with an Adiabatic Version of the NMC Spectral Model

TL;DR: In this article, two limited-memory quasi-Newton minimization techniques were used to iteratively find the minimum of a cost function, with the NMC forecast as a constraint.
Journal ArticleDOI

Automatic differentiation in Odyssée

TL;DR: This paper presents the implementation of the strategy used in the weather forecasting arpege/ifs project to produce the adjoint code from the code representing the numerical model, and describes the Odyssee system, an open system built as a toolkit, written in a high-level programming language adapted to this purpose.
Journal ArticleDOI

Simplified and Regular Physical Parameterizations for Incremental Four-Dimensional Variational Assimilation

TL;DR: In this paper, a set of physical parameterizations has been developed for inclusion in incremental four-dimensional variational assimilation (4D-Var) and validated with the tangent-linear model with those included.
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