Data assimilation in hydrodynamic modelling: on the treatment of nonlinearity and bias

DOI10.1007/s00477-004-0181-9zbMath1115.62365OpenAlexW2048455584WikidataQ60398442 ScholiaQ60398442MaRDI QIDQ2503901

Yanyan Li

Publication date: 22 September 2006

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-004-0181-9

zbMATH Keywords

Kalman filterbiasdata assimilationhydrodynamic modellingnonlinearity measure

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to environmental and related topics (62P12) Hydrology, hydrography, oceanography (86A05)

Related Items (1)

Using data assimilation method to calibrate a heterogeneous conductivity field and improve solute transport prediction with an unknown contamination source

This page was built for publication: Data assimilation in hydrodynamic modelling: on the treatment of nonlinearity and bias