Peter Jan van Leeuwen

Orcid: 0000-0003-2325-5340

According to our database1, Peter Jan van Leeuwen authored at least 20 papers between 2003 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction.
CoRR, April, 2026

Information Flow in geophysical systems.
CoRR, January, 2026

2025
Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations.
CoRR, January, 2025

Ensemble Kalman, adaptive Gaussian mixture, and particle flow filters for optimized earthquake occurrence estimation.
Comput. Geosci., 2025

2024
Uncertainty Quantification for Deep Learning.
CoRR, 2024

2022
Bayesian inference for fluid dynamics: A case study for the stochastic rotating shallow water model.
Frontiers Appl. Math. Stat., 2022

2021
Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter.
SIAM/ASA J. Uncertain. Quantification, 2021

On preconditioning the state formulation of incremental weak constraint 4D-Var.
CoRR, 2021

Randomised preconditioning for the forcing formulation of weak constraint 4D-Var.
CoRR, 2021

2020
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation.
Numer. Linear Algebra Appl., 2020

Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting.
J. Comput. Phys. X, 2020

A new Framework for Causal Discovery.
CoRR, 2020

2019
Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter.
J. Comput. Phys., 2019

Non-local Observations and Information Transfer in Data Assimilation.
Frontiers Appl. Math. Stat., 2019

Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter.
Proceedings of the Computational Science - ICCS 2019, 2019

Data-Driven Modeling for Wave-Propagation.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter.
CoRR, 2018

2014
Aspects of Particle Filtering in High-Dimensional Spaces.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013
Efficient fully nonlinear data assimilation for geophysical fluid dynamics.
Comput. Geosci., 2013

2003
A parallel data assimilation model for oceanographic observations.
Concurr. Comput. Pract. Exp., 2003


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