Work

What Is an Adjoint Model?

Year: 1997
Type: article
Abstract: Adjoint models are powerful tools for many studies that require an estimate of sensitivity of model output (e.g., a forecast) with respect to input. Actual fields of sensitivity are produced directly and efficiently, which can then be used in a variety of applications, including data assimilation, parameter estimation, stability analysis, and synoptic studies. The use of adjoint models as tools for sensitivity analysis is described here using some simple mathematics. An example of sensitivity fields is presented along with a short description of adjoint applications. Limitations of the applications are discussed and some speculations about the future of adjoint models are offered.
Language: English
Open Access status: bronze
Award: G865131106
OpenAlex ID: W2173502753
FWCI: 3.699
Cites: 53
Cited by: 605
Related to: 10