ENSEMBLES INGV SINTEX-G 1PCTTO4X run1, monthly mean values

Gualdi, Silvio

Experiment
Summary
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 "1%/year CO2 increase experiment (to quadrupling)".

The CO2 quadrupling simulation (1870-2099) is forced with changes of CO2 gas concentation only.

The datasets are available in netCDF format.
The dataset names are composed of
- centre/model acronym (INGVSX: Istituto Nazionale di Geofisica e Vulcanologia / SINTEX-G)
- scenario acronym (1PTO4X)
- run number (1: run 1)
- time interval (MM:monthly mean, DM:daily mean, DC:diurnal cycle, 6H:6 hourly, 12h:12hourly)
- variable acronym [with level value] (e.g. hur850: relative humidity, 850 hPa)
example: INGVSX_1PTO4X_1_MM_hur850

For model output data in higher temporal resolution and more variables contact Enrico Scoccimarro.

Technical data to this experiment:
The model, named SINTEX-G (SXG), is an evolution of the SINTEX-F model (Gualdi et al., 2003a, 2003b; Guilyardi et al., 2003, Luo et al. 2004).
The ocean component is OPA 8.2 (Madec et al., 1999) 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 (Louvain-La-Neuve sea-ice model; Fichefet and Morales Maqueda, 1997, 1999), which is a thermodynamic-dynamic snow sea-ice model.
The atmospheric component is ECHAM4 (Roeckner, 1996) with a T106 horizontal resolution (about 1.125x1.125 degrees) and 19 hybrid sigma-pressure levels. A mass flux scheme (Tiedtke, 1989) is applied for cumulus convection with modifications for penetrative convection according to Nordeng (1994). The coupling information, without flux corrections, is exchanged every 1.5 hours by means of the OASIS 2.4 coupler (Valcke et al., 2000).
Project
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
1870-01-01 to 2099-12-30 (360_day)
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
Size
70.02 GiB (75187230176 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Cite as
Gualdi, Silvio (2007). ENSEMBLES INGV SINTEX-G 1PCTTO4X run1, monthly mean values. World Data Center for Climate (WDCC) at DKRZ. http://hdl.handle.net/21.14106/cdde719de7613a15c5cf38488dd9dc7f393e63a8

BibTeX RIS
[Entry acronym: ENSEMBLES_INGVSX_1PTO4X_1_MM] [Entry id: 2110764]
Contact typePersonORCIDInstitute

Is described by

[1] Roeckner, E.; Arpe, K.; Bengtsson, L.; Christoph, M.; Claussen, M.; Duemenil, L.; Esch, M.; Giorgetta, M.; Schlese, U.; Schulzweida, U. (1996). The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate. http://hdl.handle.net/11858/00-001M-0000-0013-ADE3-C
[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] 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
[7] 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
[8] 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
[9] Tiedtke, M. (1989). A comprehensive mass flux scheme for cumulus parameterization in large-scale models.
[10] Nordeng, T. E. (1994). Extended versions of the convective parameterization scheme at ECMWF and their impact on the mean and transient activity of the model in the tropics. https://www.ecmwf.int/en/elibrary/11393-extended-versions-convective-parametrization-scheme-ecmwf-and-their-impact-mean
[11] Valcke, S.; Terray, L.; Piacentini, A. (2000). The OASIS Coupler User Guide Version 2.4.

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