Impact of Stochastic Physics in a Convection-Permitting Ensemble
By F. Bouttier, B. Vié, O. Nuissier, L. Raynaud. 2012
182 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e3856ffcb96d7808c9ca0c4066a56d4f4fd544c1
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Convection‐permitting models: a step‐change in rainfall forecasting (2016, methodology): “In the last few years, increased supercomputer capability has allowed National Meteorological Services to start running CPM ensembles (Gebhardt et al., 2008; Clark et al., 2011; Bouttier et al., 2012; Duc et al., 2013; Golding et al., 2014).”
- Introducing independent patterns into the Stochastically Perturbed Parametrization Tendencies (SPPT) scheme (2017, background): “…et al., 2016) and Japan Meteorological Agency (Yonehara and Ujiie, 2011), in the Application of Research to Operations at Mesoscale (AROME) (Bouttier et al., 2012), and Weather Research and Forecasting (WRF) (Berner et al., 2015), limited area models, and in the Community Earth System…”
- A review of operational methods of variational and ensemble‐variational data assimilation (2017, methodology): “…Berner et al., 2011), using the stochastic kinetic energy backscatter scheme (Shutts, 2005), perturbing physics tendencies (Buizza et al., 1999; Bouttier et al., 2012; Fresnay et al., 2012), or perturbing physics parameters (Bowler et al., 2008; Hacker et al., 2011; Gebhardt et al., 2011; Vié…”