Experiments on 4D‐Var assimilation of rainfall data using an incremental formulation
By V. Marécal, Jean-François Mahfouf. 2003
62 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/24be88c2585d7d6fc281f8ef9945c959225e1c9e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Juanzhen Sun
- Peter Bauer
- Jean-François Mahfouf
- R. Errico
- Alan J. Geer
- D. Dowell
- Takemasa Miyoshi
- Louis J. Wicker
In Global and Planetary Change
- Juanzhen Sun
- Peter Bauer
- Jean-François Mahfouf
- R. Errico
- Alan J. Geer
- D. Dowell
- Takemasa Miyoshi
- Louis J. Wicker
Citations in the corpus
- Issues Regarding the Assimilation of Cloud and Precipitation Data (2007, background): “…forward-observation operators are used, these distinctions may become less efficient or at least may require many more nonlinear iteration steps (Marécal and Mahfouf 2003) The effects of nonlinearity can be difficult to characterize since they depend not only on structures of errors but…”
- Convective‐scale assimilation of radar data: progress and challenges (2005, methodology): “Rainfall data assimilation has also been performed on coarser resolutions at the European Centre for Medium-Range Weather Forecasts (ECMWF) for global analyses using its incremental 4D-Var system (Marecal and Mahfouf 2003).”