Mesoscale Assimilation of Radial Velocities from Doppler Radars in a Preoperational Framework

By T. Montmerle, C. Faccani. 2009

98 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/35ebe2f437bb590b0f1eb099a2a7dce776ae0f29

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

1. F. Bouttier
2. P. Brousseau
3. G. Desroziers
4. L. Berre
5. C. Lac
6. S. Malardel
7. Y. Seity
8. Pierre Bénard

In Global and Planetary Change

1. F. Bouttier
2. G. Desroziers
3. P. Brousseau
4. L. Berre
5. Valéry Masson
6. C. Lac
7. Y. Seity
8. S. Malardel

Citations in the corpus

• The AROME-France Convective-Scale Operational Model (2011, background): “Radar observations improve the spatial structure and the quantitative performance of precipitation forecasts because of better analyses of low-level convergence associated with convective systems (Montmerle and Faccani 2009).”
• Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var (2011, methodology): “, 2007) and AROME–France and radial velocities from Doppler radar are used in AROME–France (Montmerle and Faccani, 2009) only.”