Alberto Arribas

Atmospheric Science · 2008–2021

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto Arribas trusts overall

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

  1. Geir Evensen
  2. Xuguang Wang
  3. Tim N. Palmer
  4. G. Candille
  5. H. Mitchell
  6. Thomas M. Hamill
  7. C. Bishop
  8. Brian R. Hunt
  9. Hans Hersbach

Who trusts Alberto Arribas overall

  1. Adam Clayton
  2. R. Bannister
  3. Christine Johnson
  4. Sharanya J. Majumdar
  5. F. Bouttier
  6. L. Duc
  7. Takemasa Miyoshi
  8. A. Lorenc

Papers from Alberto Arribas's perspective

Ordered by how strongly the researchers Alberto Arribas trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A New Vector Partition of the Probability Score
  2. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  3. A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes
  4. A Comparison of Probabilistic Forecasts from Bred, Singular-Vector, and Perturbed Observation Ensembles
  5. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
  6. Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble?
  7. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
  8. A nonlinear dynamical perspective on model error: A proposal for non‐local stochastic‐dynamic parametrization in weather and climate prediction models
  9. Ensemble size, balance, and model-error representation in an ensemble Kalman filter
  10. The rationale behind the success of multi-model ensembles in seasonal forecasting-II

Their papers