D. Hodyss

Global and Planetary Change · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom D. Hodyss trusts overall

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

  1. M. Buehner
  2. A. Lorenc
  3. Adrian E. Raftery
  4. G. Desroziers
  5. P. Houtekamer
  6. Xuguang Wang
  7. Chengsi Liu
  8. Brian R. Hunt
  9. Thomas M. Hamill
  10. Tilmann Gneiting

Who trusts D. Hodyss overall

  1. R. Bannister
  2. J. Poterjoy

Papers from D. Hodyss's perspective

Ordered by how strongly the researchers D. Hodyss 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. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
  3. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
  4. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  5. Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments
  6. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  7. Covariance localisation and balance in an Ensemble Kalman Filter
  8. An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW)
  9. Ensemble Data Assimilation without Perturbed Observations
  10. Diagnosis of observation, background and analysis‐error statistics in observation space

Their papers