Nonlinear data assimilation in geosciences: an extremely efficient particle filter
By P. V. Leeuwen, Wiley Online Library. 2010
400 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/04894679ebc3538f97556bec2791e12ced51cbc3
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
- Manuel Pulido
- Juan J. Ruiz
- Andrew M. Stuart
- Julia Tödter
- Bodo Ahrens
- Takemasa Miyoshi
- Konstantinos C. Zygalakis
- Kody J. H. Law
In Global and Planetary Change
- Manuel Pulido
- Juan J. Ruiz
- Julia Tödter
- Bodo Ahrens
- Takemasa Miyoshi
- Andrew M. Stuart
- José Luis Gómez-Dans
- Kody J. H. Law
Citations in the corpus
- Estimating Model Parameters with Ensemble-Based Data Assimilation: A Review (2013, background): “However, recent developments suggest that PFs can be applied to realistic geophysical problems at an affordable computational cost (Van Leeuwen 2010).”
- Assimilation of remote sensing into crop growth models: Current status and perspectives (2019, background): “Addressing this problem in particle filters is an active area of research (Ades and Van Leeuwen, 2015; Ades and van Leeuwen, 2013; van Leeuwen, 2010).”
- A local particle filter for high-dimensional geophysical systems (2015, methodology): “The L96 system has frequently been used to demonstrate PF and other data assimilation algorithms for the geosciences (Nakano et al., 2007; van Leeuwen, 2010; Lei and Bickel, 2011; Penny, 2014).”
- A Second-Order Exact Ensemble Square Root Filter for Nonlinear Data Assimilation (2015, methodology): “The review by van Leeuwen (2009) summarized different PF variants and approximations, whereas a more recent development, which is the equivalent weights PF (van Leeuwen 2010), seems to be a promising approach.”
- Data Assimilation: A Mathematical Introduction (2015, methodology): “Whilst there is ongoing work to overcome these problems with high-dimensional particle filtering, see [14, 25, 115] for example, this work has yet to impact practical data assimilation in, for example, operational weather forecasting.”
- Data assimilation: making sense of Earth Observation (2014, background): “Another recent development is the equivalent-weights PF (van Leeuwen, 2010, 2011; Ades and van Leeuwen, 2013, 2014).”