The local ETKF and SKEB: Upgrades to the MOGREPS short‐range ensemble prediction system
By Neill Bowler, Alberto Arribas, Sarah E. Beare, K. Mylne, G. Shutts. 2009
179 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e3ce928acea6e16ff55c8150ff5c128454c4de01
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
In Global and Planetary Change
Citations in the corpus
- On the Ability of Global Ensemble Prediction Systems to Predict Tropical Cyclone Track Probabilities (2010, methodology): “The local ensemble transform Kalman filter (LETKF) is used to initialize the ensemble, with model uncertainty perturbations prescribed via a stochastic kinetic energy backscatter scheme (Bowler et al. 2009).”
- Toward a stochastic parameterization of ocean mesoscale eddies (2014, background): “center models (e.g., Frederiksen and Davies, 1997; Shutts, 2005; Bowler et al., 2009).”
- Stochastic climate theory and modeling (2015, unknown): “Stochastic parameterizations are routinely used to improve the reliability of weather forecasts in the short-6 and medium-range 5,10,123 as well as for seasonal predictions 4,28,165 .”