Pavel Sakov
Atmospheric Science · 2002–2014
A researcher in the Science corpus: 9 papers; trusts 35 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 69 citations into it; #210 of 4,804 by trust here, #1,339 by citations
- Global and Planetary Change — 64 citations into it; #367 of 10,225 by trust here, #2,598 by citations
- Oceanography — 21 citations into it; #703 of 4,047 by trust here, #2,035 by citations
- Environmental Engineering — 15 citations into it; #781 of 5,479 by trust here, #2,691 by citations
- Artificial Intelligence — 5 citations into it; #14,746 of 35,345 by trust here, #29,412 by citations
- Ocean Engineering — 5 citations into it; #757 of 3,193 by trust here, #2,891 by citations
Whom Pavel Sakov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey L. Anderson
- Geir Evensen
- Thomas M. Hamill
- J. Whitaker
- P. Houtekamer
- W. G. Lawson
- H. Mitchell
- Dinh Tuan Pham
- Brian R. Hunt
- Marc Bocquet
Who trusts Pavel Sakov overall
- Marc Bocquet
- Yan Chen
- Alberto Carrassi
- Julia Tödter
- Geir Evensen
- Dean S. Oliver
- Bodo Ahrens
- Laurent Bertino
- Alexandre Anozé Emerick
- Jeffrey L. Anderson
Papers from Pavel Sakov's perspective
Ordered by how strongly the researchers Pavel Sakov 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
- Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
- Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
- Implications of Stochastic and Deterministic Filters as Ensemble-Based Data Assimilation Methods in Varying Regimes of Error Growth
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Deterministic nonperiodic flow
- Ensemble Kalman filtering
Their papers
- An iterative ensemble Kalman smoother (2014) — 174 citations
- Towards a dynamically balanced eddy-resolving ocean reanalysis: BRAN3 (2013) — 148 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
- A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters (2008) — 188 citations
- Representation Error of Oceanic Observations for Data Assimilation (2008) — 147 citations
- Implications of the Form of the Ensemble Transformation in the Ensemble Square Root Filters (2008) — 193 citations
- Species identification in deep water using multiple acoustic frequencies (2002) — 184 citations