Yan Chen
Atmospheric Science · Computational Geosciences · 2006–2017
A researcher in the Science corpus: 8 papers; trusts 31 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 45 citations into it; #1,565 of 4,804 by trust here, #2,974 by citations
- Global and Planetary Change — 34 citations into it; #4,236 of 10,225 by trust here, #7,711 by citations
- Ocean Engineering — 23 citations into it; #58 of 3,193 by trust here, #164 by citations
- Oceanography — 14 citations into it
- Environmental Engineering — 12 citations into it; #350 of 5,479 by trust here, #1,555 by citations
- Mechanical Engineering — 12 citations into it; #388 of 8,300 by trust here, #3,227 by citations
- Water Science and Technology — 7 citations into it; #137 of 1,711 by trust here, #1,033 by citations
Whom Yan Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geir Evensen
- Dean S. Oliver
- Jeffrey L. Anderson
- Pavel Sakov
- Alexandre Anozé Emerick
- Yaqing Gu
- Laurent Bertino
- P. Houtekamer
- Albert C. Reynolds
- H. Mitchell
Who trusts Yan Chen overall
- Dean S. Oliver
- Alexandre Anozé Emerick
- Wolfgang Nowak
- Albert C. Reynolds
- M. Iglesias
- Haiyan Zhou
- Hamidreza Hamdi
- Wenyue Sun
- Yaqing Gu
- Claudio Paniconi
Papers from Yan Chen's perspective
Ordered by how strongly the researchers Yan Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Hydrologic Data Assimilation with the Ensemble Kalman Filter
- Ensemble Data Assimilation without Perturbed Observations
- Relation between two common localisation methods for the EnKF
- Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations
- Ensemble size, balance, and model-error representation in an ensemble Kalman filter
Their papers
- Localization and regularization for iterative ensemble smoothers (2017) — 68 citations
- Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification (2013) — 342 citations
- Recent progress on reservoir history matching: a review (2011) — 736 citations
- Ensemble Randomized Maximum Likelihood Method as an Iterative Ensemble Smoother (2011) — 349 citations
- Cross-covariances and localization for EnKF in multiphase flow data assimilation (2010) — 157 citations
- Efficient Ensemble-Based Closed-Loop Production Optimization (2009) — 344 citations
- Data assimilation for nonlinear problems by ensemble Kalman filter with reparameterization (2009) — 72 citations
- Data assimilation for transient flow in geologic formations via ensemble Kalman filter (2006) — 358 citations