The Data Assimilation Research Testbed: A Community Facility
By Jeffrey L. Anderson, T. Hoar, K. Raeder. 2009
482 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/18b0b2e539e43fa0c4b4a08cd3b55d5add6cf01e
Citations in the corpus
- Enhanced Adaptive Inflation Algorithm for Ensemble Filters (2018, unknown): “The fourth inflation category includes techniques that modify the ensemble by changing its size (Uzunoglu et al. 2007) or its physical andmodel-based nature (e.g.,Meng andZhang 2007; Berner et al. 2009).”
- The Observed State of the Water Cycle in the Early Twenty-First Century (2015, unknown): “Data assimilating modeling systems like the Land Information System (Kumar et al. 2008) and Community Land Model Data Assimilation Research Testbed (CLM-DART; Oleson et al. 2010; Anderson et al. 2009) are progressing rapidly toward the goal of simultaneously ingesting the full suite of data from wat”
- A Localized Particle Filter for High-Dimensional Nonlinear Systems (2016, unknown): “Localization strategies have already been adopted in several non-Gaussian filters, including the local–local Gaussian mixture filter (Bengtsson et al. 2003), the rank histogram filter (Anderson 2010), and the moment-matching filter (Lei and Bickel 2011).”
- The GIGG‐EnKF: ensemble Kalman filtering for highly skewed non‐negative uncertainty distributions (2016, unknown): “In meteorology, they are widely used in research (e.g. Anderson et al., 2009) and also in operations (e.g. Houtekamer et al., 2005; Whitaker et al., 2008).”