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11 - Sensitivity Analysis and Adaptive Observation

from Part IV - Applications

Published online by Cambridge University Press:  22 September 2022

Seon Ki Park  and
Milija Zupanski
Seon Ki Park
Affiliation:
Ewha Womans University, Republic of Korea
Milija Zupanski
Affiliation:
Colorado State University
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Summary

The theoretical background on sensitivity analysis, especially on the deterministic approach, is described along with definitions on the forward sensitivity coefficient, adjoint sensitivity coefficient, and relative sensitivity coefficient along with examples of their practical applications. Concept, strategies, and applications of adaptive (targeted) observations are discussed, using adjoint sensitivity analysis, singular vectors, the ensemble transform Kalman filter, and conditional nonlinear optimal perturbations. Forecast sensitivity of observations is also discussed as a tool for assessing the impact of observations. In addition, various targeting field programs are introduced.

Keywords

sensitivity analysisforward sensitivityadjoint sensitivityrelative sensitivityadaptive observationstargeted observationsforecast sensitivityobservation impact
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Chapter
Information
Principles of Data Assimilation , pp. 265 - 304
Publisher: Cambridge University Press
Print publication year: 2022

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