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Tuomas edited this page Jan 22, 2020
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Welcome to the Papers wiki!
This is a place to record papers, notes, documentation, etc. that aren't transient in issues.
- A recent review of all DA schemes and advances, Nice figures to get a sense of many techniques and issues!
- A more advanced paper from Alex that is cited above, as an approach to deal with high dimensions.
- Maeda/tdac: Successive estimation of a tsunami wavefield without earthquake source data: A data assimilation approach toward real‐time tsunami forecasting
- Maeda/tdac: Tsunami data assimilation of Cascadia seafloor pressure gauge records from the 2012 Haida Gwaii earthquake
- Gordon 1993 First bootstrap filter paper
- Local Ensemble Transform Kalman Filter: An Efficient Scheme for Assimilating Atmospheric Data
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GPU implementation of a particle filter, 2010, uses OpenGL
- Main conclusion: Main bottlenecks are random number generation and cumulative sum of the CDF. These can be done by libraries modern GPUs.
- Possibly an allgather of particles is also required?
- They don't say anything about data movement which is a bit shady (pun intended).
- Fast, parallel implementation of particle filtering on the GPU architecture, 2013