M. Uliasz

Atmospheric Science · 2007

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Uliasz trusts overall

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

  1. Thomas M. Hamill
  2. Milija Zupanski
  3. J. Whitaker
  4. C. Snyder

Papers from M. Uliasz's perspective

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

  1. Ensemble Data Assimilation without Perturbed Observations
  2. An Ensemble Adjustment Kalman Filter for Data Assimilation
  3. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
  4. A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
  5. A geostatistical approach to surface flux estimation of atmospheric trace gases
  6. Maximum Likelihood Ensemble Filter: Theoretical Aspects
  7. Inverse Methods for Atmospheric Sounding: Theory and Practice
  8. Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter
  9. An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations
  10. Model Error Estimation Employing an Ensemble Data Assimilation Approach

Their papers