Chengsi Liu
Atmospheric Science · 2008–2010
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 44 citations into it; #499 of 4,804 by trust here, #2,465 by citations
- Global and Planetary Change — 44 citations into it; #2,848 of 10,225 by trust here, #7,711 by citations
- Oceanography — 11 citations into it; #1,037 of 4,047 by trust here, #2,978 by citations
- Environmental Engineering — 6 citations into it
Whom Chengsi Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey L. Anderson
- Thomas M. Hamill
- A. Lorenc
- Milija Zupanski
- C. Snyder
- H. Mitchell
- M. Buehner
- Elana J. Fertig
- J. Kain
- J. Snyman
Who trusts Chengsi Liu overall
- R. Bannister
- Marc Bocquet
- Massimo Bonavita
- Bin Wang
- Yongming Wang
- Pavel Sakov
- C. Bishop
- Adam Clayton
- M. Buehner
- Elias V. Holm
Papers from Chengsi Liu's perspective
Ordered by how strongly the researchers Chengsi Liu 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 potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Ensemble size, balance, and model-error representation in an ensemble Kalman filter
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- Ensemble Kalman filtering
- Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- Accounting for the Error due to Unresolved Scales in Ensemble Data Assimilation: A Comparison of Different Approaches
Their papers
- An economical approach to four-dimensional variational data assimilation (2010) — 92 citations
- An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW) (2009) — 157 citations
- An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test (2008) — 283 citations