Lars Isaksen

Atmospheric Science · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lars Isaksen 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. L. Berre
  7. C. Snyder
  8. R. Langland
  9. G. Desroziers
  10. Margarida Pereira

Who trusts Lars Isaksen overall

  1. Alan J. Geer
  2. R. Bannister

Papers from Lars Isaksen's perspective

Ordered by how strongly the researchers Lars Isaksen 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. A Hybrid ETKF-3DVAR Data Assimilation Scheme for the WRF Model. Part I: Observing System Simulation Experiment
  7. Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office
  8. Diagnosis of observation, background and analysis‐error statistics in observation space
  9. Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var
  10. The Use of an Ensemble Approach to Study the Background Error Covariances in a Global NWP Model

Their papers