W. Tennant

Atmospheric Science · with Arribas · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom W. Tennant trusts overall

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

  1. Tim N. Palmer
  2. G. Candille
  3. K. Hamilton
  4. Thomas M. Hamill
  5. B. Hoskins
  6. Francisco J. Doblas-Reyes
  7. Y. Takahashi
  8. R. Hagedorn
  9. G. Shutts

Who trusts W. Tennant overall

  1. Adam Clayton
  2. A. Lorenc

Papers from W. Tennant's perspective

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

  1. A New Vector Partition of the Probability Score
  2. A nonlinear dynamical perspective on model error: A proposal for non‐local stochastic‐dynamic parametrization in weather and climate prediction models
  3. A Comparison of Probabilistic Forecasts from Bred, Singular-Vector, and Perturbed Observation Ensembles
  4. The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept
  5. The rationale behind the success of multi-model ensembles in seasonal forecasting-II
  6. A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics
  7. Stochastic parametrization and model uncertainty
  8. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
  9. A new dynamical core for the Met Office's global and regional modelling of the atmosphere
  10. A new perspective on blocking

Their papers