Identification of functional parameters in partial differential equations
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This article is published in IEEE Transactions on Automatic Control.The article was published on 1974-01-01 and is currently open access. It has received 123 citations till now. The article focuses on the topics: First-order partial differential equation & Partial differential equation.read more
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Review of Parameter Identification Procedures in Groundwater Hydrology: The Inverse Problem
TL;DR: In this article, a survey of parameter identification procedures in groundwater hydrology is presented, which includes the evaluation of methods used for computing the sensitivity matrix and statistics which can be used to estimate the parameter uncertainty.
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Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography
TL;DR: The present paper surveys briefly the state of the art of parameter estimation in meteorology and oceanography in view of applications of 4-D variational data assimilation techniques to inverse parameter estimation problems, which bear promise of serious positive impact on improving model prediction.
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Parameter estimation in an intermediate complexity earth system model using an ensemble Kalman filter
TL;DR: The development of an efficient method for parameter estimation and ensemble forecasting in climate modelling based on the ensemble Kalman filter is described, and it is believed that optimal parameter estimation is now accessible even to computationally demanding models.
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Data Assimilation for Numerical Weather Prediction: A Review
TL;DR: Data assimilation has gradually reached a mature center stage position at both Numerical Weather Prediction centers as well as being at the center of activities at many federal research institutes and at many universities as mentioned in this paper.
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First-arrival traveltime tomography based on the adjoint-state method
TL;DR: The classical approach of first-arrival traveltime tomography was revisited with the proposal of a simple gradient-based approach that avoids ray tracing and estimation of the Frechet derivative matrix.