Evaluation of the convection‐resolving climate modeling approach on continental scales
By D. Leutwyler, D. Lüthi, Nikolina Ban, O. Fuhrer, Christoph M. Schär. 2017
144 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/265150d9416f4abd4cb1f7c10c681e114de18e20
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
- Stephan Rasp
- Y. Tramblay
- P. Lucas‐Picher
- Peter Berg
- C. Caillaud
- Pierre Gentine
- E. Brisson
- Daniel Argüeso
In Global and Planetary Change
- Stephan Rasp
- Y. Tramblay
- P. Lucas‐Picher
- Peter Berg
- C. Caillaud
- Pierre Gentine
- E. Brisson
- Daniel Argüeso
Citations in the corpus
- Convection‐permitting modeling with regional climate models: Latest developments and next steps (2021, methodology): “…simulation of convection with CPRCMs, the diurnal cycle of temperature and the diurnal temperature range, are usually improved with a CPRCM, especially in summer (Ban et al., 2014; Hohenegger et al., 2008; Keller et al., 2016; Leutwyler et al., 2017; Lind et al., 2020; Stratton et al., 2018).”
- Deep learning to represent subgrid processes in climate models (2018, background): “At horizontal resolutions of at least 4 km deep convection can be explicitly treated (9), which substantially improves the representation of land-atmosphere coupling (10, 11), convective organization (12) and weather extremes.”