Particle Filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions

In this study, we implement Particle Filter (PF)-based assimilation algorithms to improve root-zone soil moisture (RZSM) estimates from a coupled SVAT-vegetation model during a growing season of sweet corn in North Central Florida. The results from four different PF algorithms were compared with tho...

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Bibliographic Details
Published in:Advances in water resources 2011-04, Vol.34 (4), p.433-447
Main Authors: Nagarajan, Karthik, Judge, Jasmeet, Graham, Wendy D., Monsivais-Huertero, Alejandro
Format: Article
Language:English
Subjects:
Algorithms
Assimilation
Earth sciences
Earth, ocean, space
EnKF
Estimates
Exact sciences and technology
Hydrology. Hydrogeology
Mathematical models
Mean square values
MicroWEX-2
Particle Filter
Reduction
Root zone soil moisture
Roots
Soil moisture
SVAT-vegetation models
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Summary:In this study, we implement Particle Filter (PF)-based assimilation algorithms to improve root-zone soil moisture (RZSM) estimates from a coupled SVAT-vegetation model during a growing season of sweet corn in North Central Florida. The results from four different PF algorithms were compared with those from the Ensemble Kalman Filter (EnKF) when near-surface soil moisture was assimilated every 3 days using both synthetic and field observations. In the synthetic case, the PF algorithm with the best performance used residual resampling of the states and obtained resampled parameters from a uniform distribution and provided reductions of 76% in root mean square error (RMSE) over the openloop estimates. The EnKF provided the RZSM and parameter estimates that were closer to the truth than the PF with an 84% reduction in RMSE. When field observations were assimilated, the PF algorithm that maintained maximum parameter diversity offered the largest reduction of 16% in root mean square difference (RMSD) over the openloop estimates. Minimal differences were observed in the overall performance of the EnKF and PF using field observations since errors in model physics affected both the filters in a similar manner, with maximum reductions in RMSD compared to the openloop during the mid and reproductive stages.
ISSN:0309-1708
1872-9657
DOI:10.1016/j.advwatres.2010.09.019