ENSEMBLES STREAM2 INGV C-ESM 20C3M run1, monthly mean values

Manzini, Elisa

These data represent monthly averaged values of selected variables for ENSEMBLES (http://www.ensembles-eu.org). The list of output variables can be found in: http://ensembles.wdc-climate.de/output-variables. The model output corresponds to the IPCC AR4 "climate of the 20th Century experiment (20C3M)".

The 20th century simulation (1860-2000) is forced with changes of greenhouse gas concentations (CO2, CH4, N2O, CFC-11* and CFC-12), ozone and sulfate aerosols.

These datasets are available in netCDF format.
The dataset names are composed of
- centre/model acronym (INGVCE: Istituto Nazionale di Geofisica e Vulcanologia / Carbon - Earth system model)
- scenario acronym (20C3M)
- run number (1: run 1)
- time interval (MM:monthly mean)
- variable acronym [with level value] (e.g. hur850: relative humidity, 850 hPa)
example: INGVCE_20C3M_1_MM_hur850

Technical data to this experiment:
The model, named INGV Carbon Earth System Model (INGV C-ESM), is an evolution of the SINTEX-F model (Fogli et al. 2009 in preparation, Gualdi et al., 2003a, 2003b; Guilyardi et al., 2003, Luo et al. 2003).
The ocean component is the OPA 8.2 model (Madec et al., 1998), with the ORCA2 configuration: 2x2 degrees cos(latitude) with increased meridional resolutions to 0.5 degree near the equator, 31 vertical levels. The evolution of the sea-ice is described by the LIM model (Louvain-La-Neuve sea-ice model; Fichefet and Morales Maqueda, 1997, 1999; Timmermann et al., 2005), which is a thermodynamic-dynamic snow sea-ice model.
The atmospheric component is the ECHAM5 model (Roeckner et al., 2003, 2006), with T31 horizontal resolution and 19 hybrid sigma-pressure levels. The coupling information, without flux corrections, is exchanged every 1 day by means of the OASIS 3 coupler (Valcke et al., 2007). The dynamical vegetation and land surface component is the SILVA model (Alessandri, 2006; Alessandri et al., 2007) and the marine biogeochemistry uses the PELAGOS model (Vichi et al., 2007a,b).
ENSEMBLES (Production of seasonal to decadal hindcasts and climate change scenarios)
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90 Altitude: 0 m to 10 hPa
Temporal Coverage
1860-01-01 to 2000-12-31 (calendrical)
Use constraints
According to Ensembles Data Policy (http://ensembles-eu.metoffice.com/docs/Ensembles_Data_Policy_261108.pdf)
Data Catalog
World Data Center for Climate
3.32 GiB (3559988352 Byte)
metadata only
Creation Date
Cite as
Manzini, Elisa (2009). ENSEMBLES STREAM2 INGV C-ESM 20C3M run1, monthly mean values. World Data Center for Climate (WDCC) at DKRZ. http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=ENSEMBLES2_INGVCE_20C3M_1_MM

[Entry acronym: ENSEMBLES2_INGVCE_20C3M_1_MM] [Entry id: 2208478]
consistent as the model is
Contact typePersonORCIDInstitute


[1] DOI Roeckner, E.; Brokopf, R.; Esch, M.; Giorgetta, M.; Hagemann, S.; Kornblueh, L.; Manzini, E.; Schlese, U.; Schulzweida, U. (2006). Sensitivity of Simulated Climate to Horizontal and Vertical Resolution in the ECHAM5 Atmosphere Model. doi:10.1175/JCLI3824.1
[2] DOI Gualdi, S.; Guilyardi, E.; Navarra, A.; Masina, S.; Delecluse, P. (2003). The interannual variability in the tropical Indian Ocean as simulated by a CGCM. doi:10.1007/s00382-002-0295-z
[3] DOI Gualdi, S.; Navarra, A.; Guilyardi, E.; Delecluse, P. (2003). Assessment of the tropical Indo-Pacific climate in SINTEX CGCM. doi:10.4401/ag-3385
[4] DOI Guilyardi, Eric; Delecluse, Pascale; Gualdi, Silvio; Navarra, Antonio. (2003). Mechanisms for ENSO Phase Change in a Coupled GCM. doi:10.1175/1520-0442(2003)16<1141:MFEPCI>2.0.CO;2
[5] DOI Luo, Jing-Jia; Masson, Sebastien; Behera, Swadhin; Delecluse, Pascale; Gualdi, Silvio; Navarra, Antonio; Yamagata, Toshio. (2003). South Pacific origin of the decadal ENSO-like variation as simulated by a coupled GCM. doi:10.1029/2003GL018649
[6] DOI Fichefet, T.; Maqueda, M. A. Morales. (1997). Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics. doi:10.1029/97JC00480
[7] DOI Fichefet, T.; Maqueda, M. A. Morales. (1999). Modelling the influence of snow accumulation and snow-ice formation on the seasonal cycle of the Antarctic sea-ice cover. doi:10.1007/s003820050280
[8] DOI Timmermann, Ralph; Goosse, Hugues; Madec, Gurvan; Fichefet, Thierry; Ethe, Christian; Dulière, Valérie. (2005). On the representation of high latitude processes in the ORCA-LIM global coupled sea ice-ocean model. doi:10.1016/j.ocemod.2003.12.009

Is described by

[1] Roeckner, E.; Baeuml, G.; Bonaventura, L.; Brokopf, R.; Esch, M.; Giorgetta, M.; Hagemann, S.; Kirchner, I.; Kornblueh, L.; Manzini, E.; Rhodin, A.; Schlese, U.; Schulzweida, U.; Tompkins, A. (2003). The atmospheric general circulation model ECHAM 5. PART I: Model description. http://hdl.handle.net/11858/00-001M-0000-0012-0144-5
[2] Madec, G.; Delecluse, P.; Imbard, M.; Levy, C. (1999). OPA 8.1 Ocean General Circulation Model reference manual. http://forge.ipsl.jussieu.fr/nemo/raw-attachment/wiki/Documentation/Doc_OPA8.1.pdf
[3] Fogli, P.G.; Manzini, E.; Vichi, M.; Alessandri, A.; Patara, L.; Navarra, A. (2000). The CMCC Earth System Model (ESM).
[5] Alessandri, A. (2009). Effects of land surface and vegetation processes on the climate simulated by an atmospheric general circulation model.
[6] DOI Alessandri, Andrea; Gualdi, Silvio; Polcher, Jan; Navarra, Antonio. (2007). Effects of Land Surface-Vegetation on the Boreal Summer Surface Climate of a GCM. doi:10.1175/JCLI3983.1
[7] DOI Vichi, M.; Pinardi, N.; Masina, S. (2007). A generalized model of pelagic biogeochemistry for the global ocean ecosystem. Part I: Theory. doi:10.1016/j.jmarsys.2006.03.006
[8] DOI Vichi, M.; Masina, S.; Navarra, A. (2007). A generalized model of pelagic biogeochemistry for the global ocean ecosystem. Part II: Numerical simulations. doi:10.1016/j.jmarsys.2006.03.014

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