Kathy Corbin
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
- Atmospheric Science — 13 citations into it
- Global and Planetary Change — 13 citations into it
Whom Kathy Corbin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas M. Hamill (in Atmospheric Science)
- C. Snyder (in Atmospheric Science)
- J. Whitaker (in Atmospheric Science)
Papers from Kathy Corbin's perspective
Ordered by how strongly the researchers Kathy Corbin trusts endorse each paper. Same corpus, a different order for every researcher.
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- Ensemble Data Assimilation without Perturbed Observations
- Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- A geostatistical approach to surface flux estimation of atmospheric trace gases
- Inverse Methods for Atmospheric Sounding: Theory and Practice
- Maximum Likelihood Ensemble Filter: Theoretical Aspects
- Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter
- Model Error Estimation Employing an Ensemble Data Assimilation Approach
- An ensemble data assimilation system to estimate CO2 surface fluxes from atmospheric trace gas observations
Their papers
- Carbon flux bias estimation employing Maximum Likelihood Ensemble Filter (MLEF) (2007) — 90 citations