Y. Michel

Atmospheric Science · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 12 citations into it
• Global and Planetary Change — 11 citations into it
• Environmental Engineering — 6 citations into it

Whom Y. Michel trusts overall

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

1. Jeffrey L. Anderson
2. A. Lorenc
3. M. Buehner
4. Thomas M. Hamill
5. P. Houtekamer
6. L. Berre
7. Margarida Pereira

Papers from Y. Michel's perspective

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

1. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
2. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
3. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
4. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
5. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
6. Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances
7. Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model
8. EXPLORING THE NEED FOR LOCALIZATION IN ENSEMBLE DATA ASSIMILATION USING A HIERARCHICAL ENSEMBLE FILTER
9. Bias and data assimilation
10. The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model

Their papers

• Linear Filtering of Sample Covariances for Ensemble-Based Data Assimilation. Part I: Optimality Criteria and Application to Variance Filtering and Covariance Localization (2015) — 90 citations