Regional climate modelling
By René Laprise. Journal of Computational Physics, 2008
358 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/7c3cd143c4b4bbe3909ca42c7453e43422c0e703
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
- Shin-ichi Iga
- Hiroaki Miura
- Takemasa Miyoshi
- René Laprise
- Hirofumi Tomita
- Masaki Satoh
- Hisashi Yashiro
- M. Leduc
In Global and Planetary Change
- René Laprise
- M. Leduc
- S. Somot
- F. Feser
- Takemasa Miyoshi
- Hisashi Yashiro
- Tatsuya Seiki
- Takashi Arakawa
Citations in the corpus
- Direct and semi-direct aerosol radiative effect on the Mediterranean climate variability using a coupled regional climate system model (2015, background): “Indeed, because of non-linearities in the climate system, small differences in the initial state can have important consequences in the simulations (Laprise 2008).”
- A review on regional convection‐permitting climate modeling: Demonstrations, prospects, and challenges (2015, background): “In this section, we investigate what numerical and physical model components are critical to improve CPM climate simulations and how to reach their full potential.”
- Regional climate model sensitivity to domain size (2006, background): “Summaries of the main issues related to the regional climate modelling can be found in McGregor (1997), Giorgi and Mearns (1999), Ba ¨rring and Laprise (2005), and Laprise (2008) .”
- The Non-hydrostatic Icosahedral Atmospheric Model: description and development (2014, methodology): “In principle, the semi-Lagrangian, semi-implicit (SLSI) approach (cf. Laprise 2008; Staniforth and Wood 2008) could be employed to overcome the requirement of the CFL condition.”
- Climate Models: An Assessment of Strengths and Limitations (2008, background): “There are three primary approaches to numerical downscaling: • Limited-area models (Giorgi and Mearns 1991, 1999; McGregor 1997; Wang et al. 2004).”