AR4 GCM data
To obtain data choose a centre and an scenario there. Then decide
which variables you need and which data format you prefer. Finally,
you will be guided to the database interface which will let you
retrieve the data files one by one .
The list of requested variables can be find here
These data represent a subset of the IPCC-Mode Ouput archive run by PCMDI. There you
may also find the complete set of variables in monthly, daily or 3 hourly temporal resolution.
The data formats available are GRIB (machine independent,
selfdescriptive binary format, WMO standard) and GZIP (compressed
ASCII format). Information on both formats
and the internal data structure is given
Order Data on DVD
You can get data from IPCC AR4 scenario runs on DVDs too. For more details see here
These data are licensed for use in Research Projects only.
A 'Research Project' is any project organised by a university, a scientific institute, or similar organisation (private or public),
for non-commercial research purposes only. A necessary condition of the recognition of non-commercial purposes is
that all the results obtained are openly available at delivery costs only, without any delay linked to commercial objectives,
and that the research itself is submitted for open publication.
Data provided by the UK Met. Office/Hadley Centre are expected to be acknowledged by :
(c) Crown copyright 2005, Data provided by the Met Office Hadley Centre
Please take note of the acknowledgement information below !
Available SRES Scenarion Runs for AR4
We acknowledge the international modeling groups for providing their data for analysis,
the Program for Climate Model Diagnosis and Intercomparison (PCMDI) for collecting and
archiving the model data, the JSC/CLIVAR Working Group on Coupled Modelling (WGCM)
and their Coupled Model Intercomparison Project (CMIP) and Climate Simulation Panel for
organizing the model data analysis activity, and the IPCC WG1 TSU for technical support.
This work, including access to the data and technical assistance, is provided by the
Model and Data Group (M&D) at the Max-Planck-Institute for Meteorology, with
funding from the Federal Ministry for Education and Research and by the German Climate
Computing Centre (DKRZ)
World Data Center for Climate / German Climate Computing Centre
Last modified: 30/07/2010