IPCC DDC AR4 GISS-ER 1PCTTO4X run1

hdl:21.14106/46749aa9e95fcdb9fdcd5a4d3cb3c73a4ea434a4

Experiment

Summary: These data represent monthly averaged values of selected variables for the
Data Distribution Centre (DDC) of the Intergovernmental Panel on Climate Change (IPCC).
(see also https://www.ipcc-data.org/)
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The model output prepared for IPCC Fourth Assessment 1%/year CO2 increase experiment
(to quadrupling).
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These datasets are available in netCDF and GRIB format.
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For this experiment there is only one run available.
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Model output data for CMIP3 in higher temporal resolutions and further variables are available in ESGF at https://esgf-node.llnl.gov/search/cmip3/.
Project: IPCC-DDC_AR4 (IPCC Data Distribution Centre : Fourth Assessment Report data sets)
Location(s): World (global)
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90 Altitude: 0 m to 200 hPa
Temporal Coverage: 1901-01-01 to 2190-12-31 (365_day)
Use constraints: unrestricted
Data Catalog: World Data Center for Climate
Size: 1.77 GiB (1903451997 Byte)
Format: GRIB, NetCDF
Status: completely archived
Creation Date: 2005-07-27
Future Review Date: 2031-09-23

Cite as: Lo, Kenneth (2005). IPCC DDC AR4 GISS-ER 1PCTTO4X run1. World Data Center for Climate (WDCC) at DKRZ. https://hdl.handle.net/21.14106/46749aa9e95fcdb9fdcd5a4d3cb3c73a4ea434a4

BibTeX RIS

Consistency report

consistent as the model is

Contact type	Person	ORCID	Organization
Author	Kenneth Lo	-	NASA Goddard Institute for Space Studies
Investigator	Kenneth Lo	-	NASA Goddard Institute for Space Studies
Metadata	Nadine Schneider	-	Max-Planck-Institut fuer Meteorologie (MD)
Metadata Reviewer	Dr. Hans Luthardt	-	Max-Planck-Institut fuer Meteorologie (MD)

[1] DOI Gleckler, P. J.; Taylor, K. E.; Doutriaux, C. (2008). Performance metrics for climate models. doi:10.1029/2007JD008972

[1] WGCM Climate Simulation Panel with the assistance of PCMDI. (2007). IPCC Standard Output from Coupled Ocean-Atmosphere GCMs. http://pcmdi.github.io/ipcc/standard_output.html

[Entry acronym: GISS_ER_1PCTTO4X_1] [Entry id: 2062742]