Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation
By Yuhua Zhou, Dennis McLaughlin, Dara Entekhabi. 2006
131 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/7745b07dc5f654bf70ae04fa32b1b680b189e202
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
- Marc Bocquet
- Jeffrey L. Anderson
- C. Snyder
- Geir Evensen
- Peter J. Bickel
- Thomas Bengtsson
- Dean S. Oliver
- Takemasa Miyoshi
In Environmental Engineering
- Marc Bocquet
- Jeffrey L. Anderson
- G. Saad
- Roger G. Ghanem
- Peter J. Bickel
- Yuhua Zhou
- Dara Entekhabi
- Wade T. Crow
Citations in the corpus
- An Ensemble Multiscale Filter for Large Nonlinear Data Assimilation Problems (2008, background): “This issue is discussed in more detail in citations provided in Evensen (2003) as well as in Zhou et al. (2006).”
- Obstacles to High-Dimensional Particle Filtering (2008, methodology): “Van Leeuwen (2003) considers a model for the Agulhas Current with dimension of roughly 2 105, and Zhou et al. (2006) use a land surface model of dimension 684.”
- Characterization of reservoir simulation models using a polynomial chaos‐based ensemble Kalman filter (2009, methodology): “For example, in the assimilation of data for land surface models [Zhou et al., 2006] conditional marginal distributions and moments estimated from the EnKF have been compared with estimates obtained from a sequential importance resampling (SIR) particle filter.”
- Ensemble Kalman filtering without the intrinsic need for inflation (2011, methodology): “But alternative methods have emerged, either based on cross-validation (Anderson, 2007a), on multiscale analysis (Zhou et al., 2006), or on empirical considerations (Bishop and Hodyss, 2007).”
- Role of Subsurface Physics in the Assimilation of Surface Soil Moisture Observations (2009, methodology): “The specific layer depth for surface soil moisture is 2 cm for Catchment and Mosaic, 1.75 cm for CLM, and 10 cm for Noah. b. Ensemble Kalman filter The EnKF is widely used as an effective technique for soil moisture assimilation (Reichle et al. 2002a,b; Crow and Wood 2003; Zhou et al. 2006).”