Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Introduction to Adjoint Techniques and the MM5 Adjoint Modeling System

Authors: Zou, Xiaolei; Vandenberghe, F; Pondeca, Manuel; Kuo, Ying-Hwa;

Introduction to Adjoint Techniques and the MM5 Adjoint Modeling System

Abstract

Adjoint models are increasingly applied to many problems in meteorology and oceanography. The adjoint model of MM5 is a tool which effectively computes the gradient (or a Gateau-derivative) of any MM5 forecast aspect with respect to the model's control variables, which consist of model initial conditions, boundary conditions, and model parameters that define the physical and numerical conditions of the integration. Different applications of adjoint models in meteorology are briefly reviewed and their mathematical formulae are provided which illustrate how the adjoint model and/or tangent linear model are used in each application. Then we describe the mathematical and numerical formulation used in developing the adjoint version of MM5. The possibility of carrying out optimal control of lateral boundary condition in addition to the initial condition, the restart of minimization procedure, the proper handling of disk space for large problems, and the choice of different basic state update frequencies are provided. Finally, problems that might arise in the practical coding of the adjoint of a numerical model are summarized. A number of rules for the practical coding of tangent linear and adjoint models, along with various examples, are presented. The problems raised by the development and maintenance of adjoint codes are also discussed.

Keywords

PSU/NCAR mesoscale model, Meteorology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!