Storm-Scale Numerical Rainfall Prediction for Five Precipitating Events over France: On the Importance of the Initial Humidity Field

By Veronique Ducrocq, D. Ricard, J. Lafore, F. Orain. 2002

214 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/29f3d08f3729f037ebfd39ed83ce41a1e85d7836

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Citations in the corpus

Cloud-Resolving Ensemble Simulations of Mediterranean Heavy Precipitating Events: Uncertainty on Initial Conditions and Lateral Boundary Conditions (2011, background): “The sensitivity to ICs (Ducrocq et al. 2002) is also different between parameterized and resolved convection.”
Operational Implementation of the 1D+3D-Var Assimilation Method of Radar Reflectivity Data in the AROME Model (2014, background): “Ducrocq et al. (2002) have shown that mesoscale analysis can be more important than lateral boundary conditions for successful forecasts of heavy rain patterns and that simulations are particularly sensitive to the initial humidity field.”
Convective‐scale assimilation of radar data: progress and challenges (2005, methodology): “Ducrocq et al. (2000, 2002) demonstrated that the short-range quantitative precipitation forecasts of the five convective events they studied were considerably improved when a similar cloud analysis was used in the anelastic non-hydrostatic French research model.”
Satellite cloud and precipitation assimilation at operational NWP centres (2011, result): “Since humidity is one of the most crucial parameters to initialize at convection scale (Ducrocq et al., 2002), it was decided to retrieve it in the same way as in Marécal and Mahfouf (2002).”
A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles (2015, background): “Also, short- to medium-range quantitative precipitation forecasting (QPF) is strongly dependent on the initial WV and T fields [Crook, 1996; Ducrocq et al., 2002; Richard et al., 2007; Keil et al., 2008; Dierer et al., 2009; Wulfmeyer et al., 2011].”
The Meteorological Model BOLAM at the National Observatory of Athens: Assessment of Two-Year Operational Use (2003, background): “Ducrocq et al. (2002) discussed this issue and pointed out that spatial errors of the finegrid precipitation forecasts produce poorer standard objective scores than coarser-grid forecasts, even though the subjective impression of the forecaster is that the fine-grid precipitation fields are much…”
The AROME-France Convective-Scale Operational Model (2011, background): “In the ce´venols context, Ducrocq et al. (2002) have shown that mesoscale analysis could be even more important than lateral boundary conditions for a successful forecast of heavy rain patterns.”
Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var (2011, background): “Ducrocq et al. (2002) have shown that the performance of highresolution simulations can be sensitive to the fine details of the initial conditions, and particularly to the initial humidity field.”