Bin He
Atmospheric Science · with Buehner · 2010
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 15 citations into it
- Global and Planetary Change — 14 citations into it
Whom Bin He trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Lorenc (in Atmospheric Science)
- H. Mitchell (in Atmospheric Science)
- M. Buehner (in Atmospheric Science)
- Thomas M. Hamill (in Atmospheric Science)
- P. Houtekamer (in Atmospheric Science)
- C. Snyder (in Atmospheric Science)
Papers from Bin He's perspective
Ordered by how strongly the researchers Bin He trusts endorse each paper. Same corpus, a different order for every researcher.
- The potential of the ensemble Kalman filter for NWP—a comparison with 4D‐Var
- Ensemble‐derived stationary and flow‐dependent background‐error covariances: Evaluation in a quasi‐operational NWP setting
- Ensemble Kalman filtering
- A Hybrid Ensemble Kalman Filter-3D Variational Analysis Scheme
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test
- Ensemble Data Assimilation with the NCEP Global Forecast System
- A Comparison of Variational and Ensemble-Based Data Assimilation Systems for Reanalysis of Sparse Observations
- The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics
- Ensemble Data Assimilation without Perturbed Observations