Elana J. Fertig
Atmospheric Science · 2007–2018
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 10 citations into it; #927 of 4,804 by trust here, #3,801 by citations
- Global and Planetary Change — 10 citations into it; #1,928 of 10,225 by trust here, #8,219 by citations
Whom Elana J. Fertig trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Whitaker
- Jeffrey L. Anderson
- Milija Zupanski
- Thomas M. Hamill
- Xuguang Wang
- Alan O'Neill
- C. Bishop
- Geir Evensen
- P. Houtekamer
- H. Mitchell
Who trusts Elana J. Fertig overall
- Chengsi Liu
- Wansuo Duan
- Pavel Sakov
- Shunji Kotsuki
- Q. Xiao
- Brian R. Hunt
- Geir Evensen
- Bin Wang
- Z. Huo
- Yoichiro Ota
Papers from Elana J. Fertig's perspective
Ordered by how strongly the researchers Elana J. Fertig 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
- Maximum Likelihood Ensemble Filter: Theoretical Aspects
- Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations
- Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble?
- An ensemble Kalman smoother for nonlinear dynamics
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- Ensemble Data Assimilation with the NCEP Global Forecast System
- New Results in Linear Filtering and Prediction Theory
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
Their papers
- Inferring causal molecular networks: empirical assessment through a community-based effort (2016) — 222 citations
- Functional normalization of 450k methylation array data improves replication in large cancer studies (2014) — 762 citations
- Comprehensive analysis of retinal development at single cell resolution identifies NFI factors as essential for mitotic exit and specification of late-born cells (2018) — 21 citations
- A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: perfect model simulations with Lorenz-96 (2007) — 140 citations