Michael Fisher

Atmospheric Science · with Bonavita · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Fisher trusts overall

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

  1. Xuguang Wang
  2. A. Lorenc
  3. Thomas M. Hamill
  4. M. Buehner
  5. Chengsi Liu
  6. C. Snyder

Who trusts Michael Fisher overall

  1. Alan J. Geer
  2. R. Bannister

Papers from Michael Fisher's perspective

Ordered by how strongly the researchers Michael Fisher 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. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test
  5. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW)
  6. Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office
  7. A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment
  8. The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model
  9. Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var
  10. Flow‐dependent background‐error covariances for a convective‐scale data assimilation system

Their papers