D. Hou

Atmospheric Science · with Luo · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Hou trusts overall

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

  1. J. Whitaker
  2. P. Houtekamer
  3. Thomas M. Hamill
  4. Mozheng Wei

Papers from D. Hou's perspective

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

  1. Ensemble Data Assimilation without Perturbed Observations
  2. Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
  3. A kinetic energy backscatter algorithm for use in ensemble prediction systems
  4. A nonlinear dynamical perspective on model error: A proposal for non‐local stochastic‐dynamic parametrization in weather and climate prediction models
  5. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations
  6. Ensemble Data Assimilation with the NCEP Global Forecast System
  7. Ensemble Transform Kalman Filter-based ensemble perturbations in an operational global prediction system at NCEP
  8. A New Vector Partition of the Probability Score
  9. A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System
  10. Atmospheric Modeling, Data Assimilation and Predictability

Their papers