Daryl Timothy Kleist

Atmospheric Science · 2009–2013

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Daryl Timothy Kleist trusts overall

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

  1. R. Bannister
  2. Xuguang Wang
  3. M. Buehner
  4. A. Lorenc
  5. Thomas M. Hamill
  6. Milija Zupanski
  7. G. Shutts
  8. Fuzhong Weng
  9. Wan Wu
  10. C. Snyder

Who trusts Daryl Timothy Kleist overall

  1. Tianfeng Chai
  2. Xiaqiong Zhou
  3. R. Bannister
  4. C. Randles
  5. Roland R. Draxler
  6. Xiangjun Tian

Papers from Daryl Timothy Kleist's perspective

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

  1. Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
  2. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
  3. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  4. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
  5. The Met Office global four‐dimensional variational data assimilation scheme
  6. Operational implementation of a hybrid ensemble/4D‐Var global data assimilation system at the Met Office
  7. Intercomparison of Variational Data Assimilation and the Ensemble Kalman Filter for Global Deterministic NWP. Part I: Description and Single-Observation Experiments
  8. A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes
  9. Maximum Likelihood Ensemble Filter: Theoretical Aspects
  10. Covariance localisation and balance in an Ensemble Kalman Filter

Their papers