Key features of the IPSL ocean atmosphere model and its sensitivity to atmospheric resolution

By O. Marti, P. Braconnot, J. Dufresne, J. Bellier, R. Benshila, Sandrine Bony, P. Brockmann, P. Cadule, A. Caubel, Francis Codron and 19 more. 2010

258 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/cd74ea7ed17b0067a73f0a7672c7839ed53811d5

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. Sandrine Bony
2. J. Dufresne
3. I. Musat
4. Eric Guilyardi
5. A. Idelkadi
6. T. Fichefet
7. H. Bellenger
8. J. Grandpeix

In Global and Planetary Change

1. Sandrine Bony
2. J. Dufresne
3. I. Musat
4. Eric Guilyardi
5. A. Idelkadi
6. T. Fichefet
7. H. Bellenger
8. J. Grandpeix

In Oceanography

1. H. Bellenger
2. Sandrine Bony
3. A. Bunn
4. Eric Guilyardi
5. T. Fichefet
6. Sébastien Masson
7. Gurvan Madec
8. Masa Kageyama

Citations in the corpus

• Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions (2013, methodology): “5 Gordon et al. (2002) HadGEM1 Johns et al. (2006) IPSL CM4 Marti et al. (2009) MIROC 3.2 K-1 model developers et al. (2004) 1482 Diversity and Distributions, 19, 1480–1495, ª 2013 John Wiley & Sons Ltd generalized boosted models (GBM), random forest (RF) and maximum entropy (MAX).”
• Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 (2013, methodology): “One improvement compared to Marti et al. (2010) consists in the daily mean velocity of the ocean surface being now sent to the atmosphere and used as boundary conditions for the atmospheric boundary layer scheme.”