‘Jumpiness’ of the ECMWF and Met Office EPS control and ensemble-mean forecasts

By E. Zsótér, Roberto Buizza, D. Richardson. 2009

53 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/add78ab95beebeda5ddc3f625e98581d21685768

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. Alberto Arribas
2. Simon Thompson
3. W. Tennant
4. G. Shutts
5. Martin Leutbecher
6. Tim N. Palmer
7. Christiane Jablonowski
8. David L. Williamson

In Global and Planetary Change

1. Alberto Arribas
2. Simon Thompson
3. W. Tennant
4. G. Shutts
5. Martin Leutbecher
6. Tim N. Palmer
7. Christiane Jablonowski
8. David L. Williamson

Citations in the corpus

• Using a Stochastic Kinetic Energy Backscatter Scheme to Improve MOGREPS Probabilistic Forecast Skill (2011, background): “See Zsoter et al. (2009) for a good discussion on jumpy control and EPS forecasts for the same region in early 2008.”