L. Stewart
Atmospheric Science · with Dance · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 19 citations into it
- Global and Planetary Change — 18 citations into it
Whom L. Stewart trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Collard
- G. Desroziers
- Niels Bormann
- R. Bannister
- Zhiquan Liu
- L. Berre
- Susan P. Ballard
- Florence Rabier
Who trusts L. Stewart overall
Papers from L. Stewart's perspective
Ordered by how strongly the researchers L. Stewart trusts endorse each paper. Same corpus, a different order for every researcher.
- Diagnosis of observation, background and analysis‐error statistics in observation space
- Diagnosis and adaptive tuning of observation‐error parameters in a variational assimilation
- The potential of high‐density observations for numerical weather prediction: A study with simulated observations
- A comparison of two methods for developing the linearization of a shallow‐water model
- A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics
- The Met. Office global three‐dimensional variational data assimilation scheme
- Three-Dimensional Variational Analysis with Spatially Inhomogeneous Covariances
- The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics
- Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances
- The Met Office global four‐dimensional variational data assimilation scheme