Laurent Bertino
Atmospheric Science · 2002–2017
A researcher in the Science corpus: 9 papers; trusts 47 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 111 citations into it; #267 of 4,804 by trust here, #1,291 by citations
- Global and Planetary Change — 104 citations into it; #615 of 10,225 by trust here, #3,466 by citations
- Oceanography — 40 citations into it; #242 of 4,047 by trust here, #1,727 by citations
- Environmental Engineering — 22 citations into it; #3,163 of 5,479 by trust here, #5,088 by citations
- Artificial Intelligence — 16 citations into it; #15,546 of 35,345 by trust here, #29,412 by citations
- Civil and Structural Engineering — 5 citations into it
Whom Laurent Bertino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geir Evensen
- Jeffrey L. Anderson
- Dinh Tuan Pham
- Martin Verlaan
- P. Houtekamer
- Denis Allard
- Pavel Sakov
- J. Whitaker
- Hans Wackernagel
- Thomas M. Hamill
Who trusts Laurent Bertino overall
- Yan Chen
- Michael Dowd
- Geir Evensen
- Marc Bocquet
- Dean S. Oliver
- Alberto Carrassi
- Alexandre Anozé Emerick
- Ehouarn Simon
- Emlyn Jones
- K. Lisæter
Papers from Laurent Bertino's perspective
Ordered by how strongly the researchers Laurent Bertino trusts endorse each paper. Same corpus, a different order for every researcher.
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- Ensemble Data Assimilation without Perturbed Observations
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Deterministic nonperiodic flow
- Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- Implications of Stochastic and Deterministic Filters as Ensemble-Based Data Assimilation Methods in Varying Regimes of Error Growth
- Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
Their papers
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives (2017) — 752 citations
- Wave-ice interactions in the marginal ice zone. Part 1: Theoretical foundations (2013) — 190 citations
- Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model (2012) — 64 citations
- An Iterative EnKF for Strongly Nonlinear Systems (2012) — 180 citations
- Relation between two common localisation methods for the EnKF (2011) — 213 citations
- Asynchronous data assimilation with the EnKF (2010) — 161 citations
- Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment (2009) — 49 citations
- Sequential Data Assimilation Techniques in Oceanography (2003) — 307 citations
- Combining geostatistics and Kalman filtering for data assimilation in an estuarine system (2002) — 64 citations