Thomas Bengtsson

Atmospheric Science · 2007–2008

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 27 citations into it; #190 of 4,804 by trust here, #694 by citations
• Global and Planetary Change — 25 citations into it; #390 of 10,225 by trust here, #1,924 by citations
• Environmental Engineering — 12 citations into it; #3,613 of 5,479 by trust here, #3,627 by citations
• Probabilistic & Bayesian Methods — 11 citations into it
• Oceanography — 9 citations into it
• Statistics and Probability — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Thomas Bengtsson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas M. Hamill
2. P. Houtekamer
3. C. Anderson‐Cook
4. Jeffrey L. Anderson
5. J. Whitaker
6. H. Mitchell
7. Reinhard Furrer
8. Tim Hesterberg
9. Neil J. Gordon
10. C. Snyder

Who trusts Thomas Bengtsson overall

1. Jeffrey L. Anderson
2. Marc Bocquet
3. Tommaso Cai
4. Alexandros Beskos
5. Mohsen Pourahmadi
6. C. Snyder
7. Yan Chen
8. Alexandre Anozé Emerick
9. J. Poterjoy
10. D. Crisan

Papers from Thomas Bengtsson's perspective

Ordered by how strongly the researchers Thomas Bengtsson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
2. An Ensemble Adjustment Kalman Filter for Data Assimilation
3. Ensemble Data Assimilation without Perturbed Observations
4. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
5. Deterministic nonperiodic flow
6. Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction
7. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
8. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
9. A Comparison of Probabilistic Forecasts from Bred, Singular-Vector, and Perturbed Observation Ensembles
10. Monte Carlo Strategies in Scientific Computing

Their papers

• Obstacles to High-Dimensional Particle Filtering (2008) — 743 citations
• Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems (2008) — 454 citations
• Sequential State and Variance Estimation within the Ensemble Kalman Filter (2007) — 51 citations
• Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants (2007) — 423 citations