What the collapse of the ensemble Kalman filter tells us about particle filters
Abstract
The ensemble Kalman filter (EnKF) is a reliable data assimilation tool for high-dimensional meteorological problems. On the other hand, the EnKF can be interpreted as a particle filter, and particle filters (PF) collapse in high-dimensional problems. We explain that these seemingly contradictory statements offer insights about how PF function in certain high-dimensional problems, and in particular support recent efforts in meteorology to 'localize' particle filters, i.e. to restrict the influence of an observation to its neighbourhood.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 08, 2017
- Accession Number
- AD1119563
Entities
People
- Chris Snyder
- Daniel Hodyss
- Matthias Morzfeld
Organizations
- United States Naval Research Laboratory