N. Kurkowski

Atmospheric Science · 2003–2005

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom N. Kurkowski trusts overall

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

  1. J. P.

Who trusts N. Kurkowski overall

  1. G. De Lannoy

Papers from N. Kurkowski's perspective

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

  1. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
  2. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  3. A variance-minimizing filter for large-scale applications
  4. Data Assimilation in the Presence of Forecast Bias: The GEOS Moisture Analysis
  5. An Ensemble Smoother with Error Estimates
  6. An Ensemble Adjustment Kalman Filter for Data Assimilation
  7. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
  8. The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
  9. Sequential Monte Carlo Methods in Practice
  10. Ensemble Data Assimilation without Perturbed Observations

Their papers