Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model
By A. Aksoy, Fuqing Zhang, J. Nielsen‐Gammon. 2006
137 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/d13f4ab5c516007cc4b811ddc2c141a47806944a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Ryan Torn
- Z. Meng
- Gregory J. Hakim
- Ehouarn Simon
- Fuqing Zhang
- H. H. Franssen
- Wolfgang Kinzelbach
- Laurent Bertino
In Global and Planetary Change
- Ryan Torn
- Z. Meng
- Gregory J. Hakim
- Ehouarn Simon
- Fuqing Zhang
- H. H. Franssen
- Wolfgang Kinzelbach
- Laurent Bertino
In Oceanography
- Ehouarn Simon
- Ryan Torn
- Wolfgang Kinzelbach
- H. H. Franssen
- Laurent Bertino
- Gregory J. Hakim
- Fuqing Zhang
- Z. Meng
Citations in the corpus
- Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study (2008, background): “…Hamill and Snyder 2000; Anderson 2001; Whitaker and Hamill 2002; Mitchell et al. 2002; Snyder and Zhang 2003; Zhang and Anderson 2003; Zhang et al. 2004, 2006; Aksoy et al. 2005, 2006a,b; Houtekamer et al. 2005; Tong and Xue 2005; Dirren et al. 2007; Meng and Zhang 2007; Whitaker et al. 2008).”
- Real‐time groundwater flow modeling with the Ensemble Kalman Filter: Joint estimation of states and parameters and the filter inbreeding problem (2008, methodology): “Aksoy et al. [2006] successfully estimated six parameters in a two-dimensional sea-breeze model with vorticity and buoyancy as prognostic variables. Some other approaches were applied to estimate parameters and states jointly in real-time models. Liu et al. [2005] constrained parameter estimates for”
- Ensemble-Based Sensitivity Analysis (2008, methodology): “Data drawn from the UW EnKF system are used to determine the climatological sensitivity of pressure and precipitation averaged in a box over western Washington.”
- Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model (2012, methodology): “The performance of the EnKF in combined state-parameter estimation have been carefully evaluated in a 2-D sea-breeze model by Aksoy et al. (2006). In the framework of ocean biogeochemistry, Losa et al.”