Introducing independent patterns into the Stochastically Perturbed Parametrization Tendencies (SPPT) scheme

By Hannah M. Christensen, Sarah‐Jane Lock, I. Moroz, T. Palmer. 2017

55 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/77065b67604c1778abaa8a0e7858a09971aa3713

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. Tim N. Palmer
2. Tilmann Gneiting
3. D. Wilks
4. Martin Leutbecher
5. C. Tebaldi
6. F. Vitart
7. Thordis Linda Thorarinsdottir
8. Jouni Raäisaänen

In Global and Planetary Change

1. Tim N. Palmer
2. Tilmann Gneiting
3. D. Wilks
4. Martin Leutbecher
5. C. Tebaldi
6. F. Vitart
7. Thordis Linda Thorarinsdottir
8. Jouni Raäisaänen

Citations in the corpus

• The ECMWF ensemble prediction system: Looking back (more than) 25 years and projecting forward 25 years (2018, background): “Of course, one should treat this as a zeroth order approximation and there are undoubtedly circumstances where some partial (Christensen et al., 2017) decoupling does make sense.”