L. Vandenbulcke
Atmospheric Science · 2013
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atmospheric Science — 9 citations into it
- Global and Planetary Change — 7 citations into it
Whom L. Vandenbulcke trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Bannister (in Atmospheric Science)
- Grace Wahba (in Numerical Methods & Scientific Computing)
- Timothy A. Davis (in Computational Theory and Mathematics)
- Michele Benzi (in Atomic and Molecular Physics, and Optics)
Papers from L. Vandenbulcke's perspective
Ordered by how strongly the researchers L. Vandenbulcke trusts endorse each paper. Same corpus, a different order for every researcher.
- The Met. Office global three‐dimensional variational data assimilation scheme
- Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances
- Preconditioning techniques for large linear systems: a survey
- The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics
- Three- and Four-Dimensional Variational Assimilation with a General Circulation Model of the Tropical Pacific Ocean. Part I: Formulation, Internal Diagnostics, and Consistency Checks
- Spline Models for Observational Data
- An oceanographic three-dimensional variational data assimilation scheme
- A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics
- Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis (Diva)
- Mathematical Methods for Physicists
Their papers
- divand-1.0: n -dimensional variational data analysis for ocean observations (2013) — 63 citations