A new data assimilation technique based on ensemble Kalman filter and Brownian bridges: an application to Richards' equation
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Publication:1682762
DOI10.1016/j.cpc.2016.07.025zbMath1375.93134OpenAlexW2491907633MaRDI QIDQ1682762
Marco Berardi, Luciano Lopez, Andrea Andrisani, Michele Vurro
Publication date: 5 December 2017
Published in: Computer Physics Communications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cpc.2016.07.025
Hydrology, hydrography, oceanography (86A05) Brownian motion (60J65) Data smoothing in stochastic control theory (93E14) Second-order parabolic equations (35K10)
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Uses Software
Cites Work
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- Spectral properties and conservation laws in mimetic finite difference methods for PDEs
- Kalman filtering with real-time applications
- Inexact Newton methods and the method of lines for solving Richards' equation in two space dimensions
- Introduction to optimal estimation
- Parameter estimation in flow through partially saturated porous materials
- Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
- Kalman filtering and smoothing for linear wave equations with model error
- Explicit off-line criteria for stable accurate time filtering of strongly unstable spatially extended systems
- Data Assimilation
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