Parameter estimation of a physically-based land surface hydrologic model using an ensemble Kalman filter: A multivariate real-data experiment-Reference-Cited by-同舟云学术

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Parameter estimation of a physically-based land surface hydrologic model using an ensemble Kalman filter: A multivariate real-data experiment

Published:2015-09 Issue: Volume:83 Page:421-427
ISSN:0309-1708
Container-title:Advances in Water Resources
language:en
Short-container-title:Advances in Water Resources

Author:

Shi Yuning,Davis Kenneth J.,Zhang Fuqing,Duffy Christopher J.,Yu Xuan

Funder

National Science Foundation

National Oceanic and Atmospheric Administration

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference49 articles.

1. Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model;Aksoy;Mon Weather Rev,2006

2. A Monte Carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts;Anderson;Mon Weather Rev,1999

3. Parameter estimation using chaotic time series;Annan;Tellus A,2005

4. Strategies for measuring and modelling carbon dioxide and water vapour fluxes over terrestrial ecosystems;Baldocchi;Global Change Biol,1996

5. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future;Baldocchi;Global Change Biol,2003

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