(person(s) or institute(s) responsible for this assemblage of data: e.g. author, data collector, editor...)
Giorgetta, Marco; Jungclaus, Johann; Reick, Christian; Legutke, Stephanie; Brovkin, Victor; Crueger, Traute; Esch, Monika; Fieg, Kerstin; Glushak, Ksenia; Gayler, Veronika; Haak, Helmuth; Hollweg, Heinz-Dieter; Kinne, Stefan; Kornblueh, Luis; Matei, Daniela; Mauritsen, Thorsten; Mikolajewicz, Uwe; Müller, Wolfgang; Notz, Dirk; Raddatz, Thomas; Rast, Sebastian; Roeckner, Erich; Salzmann, Marc; Schmidt, Hauke; Schnur, Reiner; Segschneider, Joachim; Six, Katharina; Stockhause, Martina; Wegner, Joerg; Widmann, Heinrich; Wieners, Karl-Hermann; Claussen, Martin; Marotzke, Jochem; Stevens, Bjorn
CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-MR model: The amip4xCO2 experiment, served by ESGF
WDCC at DKRZ
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Dr. Marco Giorgetta
Deutsches Klimarechenzentrum (DKRZ)Lawrence Livermore National Laboratory (LLNL)The NCAS British Atmospheric Data Centre (BADC)
Data access links are provided to the peer nodes of the Earth System Grid Federation (ESGF: http://esgf.org
and to the long-term data archive of the World Data Center for Climate (WDCC: http://www.wdc-climate.de
ESGF data access requires a valid openID and WDCC data access a CERA account (see http://cera-www.dkrz.de/
There is currently no directly linked data available, please take a look at the Earth System Grid Federation (ESGF) gateways,
Find related data in CERA...
'amip4xco2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5
). CMIP5 is meant to provide a framework for coordinated
climate change experiments for the next five years and thus includes simulations for
assessment in the AR5 as well as others that extend beyond the AR5.
6.5 amip4xco2 (6.5 4xCO2 AMIP) - Version 1: Identical to expt. 6.2b, but with AMIP SSTs prescribed as in expt. 3.3 (which is the control for this run).
Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html
List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html
Output: time series per variable in model grid spatial resolution in netCDF format
Earth System model and the simulation information: CIM repository
Entry name/title of data are specified according to the Data Reference Syntax
as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble
member/version number/variable name/CMOR filename.nc.
Several summary statistics were monitored during the integration and compared to the reference CMIP5
amip experiment.;SQA - Scientific Quality Assurance 'approved by author' 06/22/2012 12:49:58 ;TQA - Technical Quality Assurance 'approved by WDCC' 06/26/2012 10:06:24
Quality Control Levels in CMIP5:
* Level 0: Spot checks on selected data
* Level 1: CMOR2 and ESG publisher conformance checks
* Level 2: Data consistency checks
* Level 3: Double- and cross-checks of data and metadata and data publication as DataCite DOI
QC Result Access: http://cera-www.dkrz.de/WDCC/CMIP5/QCResult.jsp?experiment=cmip5/output1/MPI-M/MPI-ESM-MR/amip4xCO2
[CMIP5:QualityLevel=3] [CMIP5:QualityFlag=approved by author] according to CMIP5 quality control rules http://cmip5qc.wdc-climate.de
[CMIP5:DateOfQualityControl2=2012-05-14] [CMIP5:QualityControl2Comment=QC Level2 assigned at 2012-05-25 13:36:48 UTC: confirmation for v20120503 by Stephanie Legutke (DKRZ)] [CMIP5:DateOfQualityControl3=2012-06-25] [CMIP5:CimMetadata=TDS CIM cross-checks passed]
[CMIP5:TQA= done according to criteria for QCL3 defined at http://redmine.dkrz.de/projects/cmip5-qc/wiki/Qc_l3#Criteria-for-QC-L3DOI-publication
Cites: Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM simulations for the Coupled Model Intercomparison Project phase 5 http://dx.doi.org/10.1002/jame.20038
WDC Climate performed checks on the validity of metadata and data accessed at WDC Climate (WDCC).
WDCC recommends to check all downloaded data files by their tracking_id with the CMIP5 Data
Validation Service at http://cera-www.dkrz.de/WDCC/CMIP5/Tracking.jsp?tracking_id=tracking_id
tracking_id can be found in the file headers (e.g. using ncdump -h).