The AROME-France Convective-Scale Operational Model

By Y. Seity, P. Brousseau, S. Malardel, Pierre Bénard, F. Bouttier, C. Lac, Valéry Masson. 2011

937 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/2cba8fc894ac7b06a016fa54ca4c23c02aa0bc95

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. H. Shin
2. F. Bouttier
3. Valéry Masson
4. Song‐You Hong
5. P. Brousseau
6. G. Desroziers
7. O. Nuissier
8. B. Vié

In Environmental Engineering

1. H. Shin
2. Song‐You Hong
3. L. Berre
4. G. Desroziers
5. F. Bouttier
6. P. Brousseau
7. Olivier Caumont
8. C. Lac

In Global and Planetary Change

1. F. Bouttier
2. Valéry Masson
3. G. Desroziers
4. P. Brousseau
5. O. Nuissier
6. B. Vié
7. L. Berre
8. Fleur Couvreux

Citations in the corpus

• Entrainment and detrainment in cumulus convection: an overview (2013, neutral): “Finally, we are entering an new era in which highresolution models (∼ 1–10 km) become operational as NWP models (e.g. Staniforth and Wood, 2008; Weisman, 2008; Baldauf et al., 2011; Seity et al., 2011).”
• Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions (2015, methodology): “…weather prediction (NWP) centers are now running their models using 2–10-km horizontal resolution (Davies et al. 2005; Saito et al. 2006; Charles and Colle 2009; Baldauf et al. 2011; Seity et al. 2011), and some will be reaching sub-kilometer grid size within a few years (Hong and Dudhia 2012).”
• Convection‐permitting modeling with regional climate models: Latest developments and next steps (2021, background): “, 2016), and AROME (Beluši c et al., 2020; Seity et al., 2011), originate from convection-permitting numerical weather prediction (NWP) models, operating at kilometer scales for more than two decades (Mass et al.”
• Background‐error covariances for a convective‐scale data‐assimilation system: AROME–France 3D‐Var (2011, methodology): “The very first AROME–France operational system (Seity et al., 2010) used background-error statistics made using this technique.”
• Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics (2012, neutral): “Many operational forecast centers are now using, or soon plan to use, horizontal grid spacing of O (1 km) (e.g., Weiss et al. 2008; Lean et al. 2008; Seity et al. 2011; Baldauf et al. 2011).”
• Convection‐permitting models: a step‐change in rainfall forecasting (2016, methodology): “…Forecasting (WRF) model (Michalakes et al., 2001), COnsortium for Small-scale MOdelling (COSMO) (Baldauf et al., 2011), Applications of Research to Operations at MEsoscale (AROME) (Seity et al., 2011) and the Japan Meteorological Agency (JMA) Non-hydrostatic Mesoscale Model (Saito et al., 2006).”
• Overview of the Meso-NH model version 5.4 and its applications (2018, methodology): “For real-case studies, initial and forcing fields can be provided by analyses or forecasts from the following NWP suites: AROME, ARPEGE (Action de Recherche Petite Echelle Grande Echelle), ECMWF, and recently GFS Geosci.”
• A Diagnostic for Evaluating the Representation of Turbulence in Atmospheric Models at the Kilometric Scale (2011, methodology): “This is the case, for example, for the Application of Research to Operations at Mesoscale (AROME) model (Seity et al. 2011) in France or the Global Environmental Mesoscale (GEM) model (Côté et al. 1998) in Canada.”
• Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE (2012, background): “Today, many meteorological services use HR-NWP models for operational forecasts (Skamarock and Klemp 2008; Saito et al. 2006; Staniforth and Wood 2008; Baldauf et al. 2011; Seity et al. 2011).”