T. Montmerle

Atmospheric Science · with Berre · 2000–2015

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom T. Montmerle trusts overall

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

  1. L. Berre
  2. Jeffrey L. Anderson
  3. A. Lorenc
  4. M. Buehner
  5. Margarida Pereira
  6. Thomas M. Hamill
  7. C. Snyder
  8. P. Houtekamer
  9. S. B. Healy
  10. Ming Xue

Who trusts T. Montmerle overall

  1. P. Brousseau
  2. R. Bannister
  3. L. Berre
  4. Y. Seity
  5. F. Bouttier
  6. Pierre Bénard
  7. B. Vié

Papers from T. Montmerle's perspective

Ordered by how strongly the researchers T. Montmerle 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. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  5. Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances
  6. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
  7. Estimation of Synoptic and Mesoscale Forecast Error Covariances in a Limited-Area Model
  8. The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation
  9. EXPLORING THE NEED FOR LOCALIZATION IN ENSEMBLE DATA ASSIMILATION USING A HIERARCHICAL ENSEMBLE FILTER
  10. Bias and data assimilation

Their papers