L. Berre
Atmospheric Science · 2000–2015
A researcher in the Science corpus: 11 papers; trusts 22 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 46 citations into it; #100 of 4,804 by trust here, #869 by citations
- Global and Planetary Change — 43 citations into it; #201 of 10,225 by trust here, #2,281 by citations
- Environmental Engineering — 15 citations into it; #311 of 5,479 by trust here, #1,116 by citations
Whom L. Berre trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Margarida Pereira
- M. Buehner
- A. Lorenc
- G. Desroziers
- Thomas M. Hamill
- H. Mitchell
- Geir Evensen
- N. Ingleby
- P. Houtekamer
- Wan Wu
Who trusts L. Berre overall
- R. Bannister
- P. Brousseau
- F. Bouttier
- Margarida Pereira
- T. Montmerle
- Claude Fischer
- L. Raynaud
- Éric Wattrelot
- G. Desroziers
- Y. Seity
Papers from L. Berre's perspective
Ordered by how strongly the researchers L. Berre trusts endorse each paper. Same corpus, a different order for every researcher.
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- Ensemble size, balance, and model-error representation in an ensemble Kalman filter
- Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
- Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
- The statistical structure of forecast errors and its representation in The Met. Office Global 3‐D Variational Data Assimilation Scheme
- The Met. Office global three‐dimensional variational data assimilation scheme
- Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area 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
- Flow‐dependent background‐error covariances for a convective‐scale data assimilation system (2012) — 47 citations
- Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var (2011) — 151 citations
- An extended specification of flow‐dependent background error variances in the Météo‐France global 4D‐Var system (2011) — 48 citations
- Background‐error correlation length‐scale estimates and their sampling statistics (2008) — 77 citations
- The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model (2006) — 149 citations
- An overview of the variational assimilation in the ALADIN/France numerical weather‐prediction system (2005) — 175 citations
- Diagnosis of observation, background and analysis‐error statistics in observation space (2005) — 885 citations
- Three-dimensional variational data assimilation for a limited area model : Part II: Observation handling and assimilation experiments (2001) — 85 citations
- Three-dimensional variational data assimilation for a limited area model : Part I: General formulation and the background error constraint (2001) — 145 citations
- Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model (2000) — 215 citations