• Braconnot, P., et al., 2000: Ocean feedback in response to 6 kyr BP insolation. J. Clim.10.1175/1520-0442(2000)013<1537:OFIRTK>2.0.CO;2.
  • Braconnot, P., et al., 1999: Synergistic feedbacks from ocean and vegetation on the African monsoon response to mid-Holocene insolation. Geophys. Res. Lett., 10.1029/1999GL006047.
  • Caniou, Y., et al., 2008: Ocean-Atmosphere Modelling over the Grid, icpp, pp. 206-213, 37th International Conference on Parallel Processing
  • Cinquini, L., et al.,: The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geo- Spatial Data, submitted on invitation to participate in special issue on Science Applications & Infrastructure in Future Computer Systems (FGCS) journal.
  • Déandreis, C., et al., 2012: Radiative forcing estimates of sulfate aerosol in coupled climate-chemistry models with emphasis on the role of the temporal variability. Atmos. Chem. Phys., 12, 5583-5602, 10.5194/acp-12-5583-2012.
  • Drobinski, P., et al., 2012: Modelling the Regional Coupled Earth system (MORCE): application to process and climate studies in vulnerable regions. Env. Modelling and Software, 35, 1-18, 10.1016/j.envsoft.2012.01.017.
  • Dufresne, J.-L, et al., 2012: Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5. Clim. Dyn., 10.1007%2Fs00382-012-1636-1.
  • Dufresne, J.-L., et al., 2013: Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5. Clim. Dyn.10.1007/s00382-012-1636-1.
  • Dufresne, J.-L. and Bony, S., 2008: An assessment of the primary sources of spread of global warming estimates from coupled atmosphere-ocean models. J. Climate, 10.1175/ 2008JCLI2239.1.
  • Gonzalez-Rouco, F., et al., 2011: Medieval Climate Anomaly to Little Ice Age transition as simulated by current climate models, PAGES news, http://digital.csic.es/bitstream/10261/62236/1/PN_2011_19_7.pdf.
  • Guilyardi E., et al., 2011: The CMIP5 model and simulation documentation: a new standard for climate modeling metadata, in CLIVAR Exchanges, http://home.badc.rl.ac.uk/lawrence/static/2012/01/05/GuiEA11_CE.pdf.
  • Hannart, A., et al., 2009: Why climate sensitivity may not be so unpredictable. Geophys. Res. Lett., 10.1029/2009GL039640.
  • Hourdin, F., et al., 2012: Impact of the LMDZ atmospheric grid configuration on the climate and sensitivity of the IPSL-CM5A coupled model. Clim. Dyn., 10.1007/s00382-012-1411-3.
  • Kageyama, M., et al., 2012: Mid- Holocene and Last Glacial Maximum climate simulations with the IPSL model. Part I: comparing IPSL_CM5A to IPSL_CM4. Clim. Dyn., 10.1007/s00382-012-1488-8.
  • Kageyama, M., et al., 2012: Mid- Holocene and Last Glacial Maximum climate simulations with the IPSL model. Part II: model-data comparisons. Clim. Dyn., 10.1007/s00382-012-1499-5.
  • Khodri, M., et al., 2001: Simulating the amplification of orbital forcing by ocean feedbacks in the last glaciation. Nature, 10.1038/35069044.
  • Kirtman, B.-P., et al., 2012 : Impact of ocean model resolution on CCSM climate simulations, Clim. Dyn.201210.1007/s00382-012-1500-3.
  • Lawrence, B.-N., et al., 2012: Describing Earth System Simulations with the Metafor CIM. Geosci. Model Dev., 10.5194/gmd-5-1493-2012.
  • Luan, Y., et al., 2012: Early and mid-Holocene climate in the tropical Pacific: seasonal cycle and interannual variability induced by insolation changes. Clim. Past, 10.5194/cp-8-1093-2012.
  • Maisonnave, E., 2012: A resiliency strategy for NEMO Ocean Model, Technical Report, TR/CMGC/12/13, SUC au CERFACS, URA CERFACS/CNRS No1875, France.
  • Maisonnave, E., and Valcke, S., 2012: OASIS Dedicated User Support 2011, Annual report, Technical Report, TR/CMGC/12/18, SUC au CERFACS, URA CERFACS/CNRS No1875, France.
  • Maisonnave, E., et al., 2012: PRACE Project Access for Seasonal Prediction with a high Resolution Climate model (SPRUCE), Working Note, WN/CMGC/12/29, SUC au CERFACS, URA CERFACS/CNRS No1875, France.
  • Marti, O., et al., 2010: Key features of the IPSL ocean atmosphere model and its sensitivity to atmospheric resolution. Clim. Dyn., 10.1007/s00382-009-0640-6.
  • Marti, O., et al.,: The new IPSL climate system model: IPSL-CM4, Note du Pôle de Modélisation n° 26, ISSN 1288-1619, http://igmcg.ipsl.jussieu.fr.
  • Masson, S., et al., 2012: Tropical Channel NEMO-OASIS-WRF Coupled simulations at very high resolution. 11.4. 13th WRF Users’ Workshop – 25-29 June 2012, Boulder, CO (USA).
  • Masson-Delmotte, V., et al., 2006: Past and future polar amplification of climate change: climate model intercomparisons and ice-core constraints. Clim. Dyn., 10.1007/s00382-006-0149-1.
  • Mignot, J., et al., 2011: Volcanic impact on the Atlantic Ocean over the last millennium, Clim. Past, 10.5194/cp-7-1439-2011.
  • Persechino, A., et al., 2012: Decadal predictability of the Atlantic meridional overturning circulation and climate in the IPSL-CM5A-LR model, Clim. Dyn., 10.1007/s00382-012-1466-1.
  • Sabin, T.-P., et al., 2013: High resolution simulation of the South Asian monsoon using a variable resolution global climate model. Clim. Dyn., 10.1007%2Fs00382-012-1658-8.
  • Szopa, S., et al., 2013: Aerosol and Ozone changes as forcing for Climate Evolution between 1850 and 2100. Clim. Dyn., 10.1007/s00382-012-1408-y.
  • Servonnat, J., et al., 2010: Influence of solar variability, CO2 and orbital forcing between 1000 and 1850 AD in the IPSLCM4 model. Clim. Past, 10.5194/cp-6-445-2010.
  • Swingedouw, D., et al., 2012: Initialization and predictability of the AMOC over the last 50 years in a climate model, Clim. Dyn., 10.1007/s00382-012-1516-8.
  • Swingedouw, D., et al., 2010: Natural forcing of climate during the last millennium : fingerprint of solar variability, Clim. Dyn., 10.1007/s00382-010-0803-5.
  • Valcke, S., et al., 2012: Coupling technologies for Earth System Modelling. Geosci. Model Dev., 10.5194/gmd-5-1589-2012.
  • Valcke, S., 2013: The OASIS3 coupler: a European climate modelling community software. under revision. Geosci. Model Dev. Discuss., 10.5194/gmdd-5-2139-2012.
  • Voldoire A., et al., 2011: The CNRM-CM5.1 global climate model: Description and basic evaluation. Clim. Dyn., 10.1007/s00382-011-1259-y.
  • Williams, D., et al.:Climate Science Responds to "Big Data" Challenges: Accessing and Analyzing Model Output and Observations. submitted BAMS.
  • Zhao, Y., et al., 2005: A multi-model analysis of the role of the ocean on the African and Indian monsoon during the mid-Holocene. Clim. Dyn., 10.1007%2Fs00382-005-0075-7.