cmip5 output1 FIO FIO-ESM rcp85

doi:10.1594/WDCC/CMIP5.FIFIr8

Qiao, Fangli; Song, Zhenya; Bao, Ying

Dataset GroupDOI
Summary
rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). 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.

4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles.

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 ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .

There are five component models: atmosphere, surface land, ocean, sea ice and surface wave models.
Project
IPCC-AR5_CMIP5 (IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets)
Contact
Prof. Fangli Qiao (
 qiaofl@nullfio.org.cn
)
Location(s)
World (global)
Additional Information
QCL2_images_cmip5_output1_FIO_FIO-ESM_rcp85.pdf
QCL2_results_cmip5_output1_FIO_FIO-ESM_rcp85.tar.gz
CMIP5 List of output variables
CMIP5 Experiment design
QCL3_TQA_2478186_20130614.txt
QCL2_exceptions_cmip5_output1_FIO_FIO-ESM_rcp85.txt
CMIP5 Experiment design
QCL2_logfile_cmip5_output1_FIO_FIO-ESM_rcp85.txt
CMIP5 List of output variables
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90 Altitude: -6200 m to 10 hPa
Temporal Coverage
2006-01-16 to 2100-12-16 (proleptic_gregorian)
Use constraints
unrestricted
Data Catalog
World Data Center for Climate
Size
297.30 GiB (319227496116 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2024-07-02
Cite as
Qiao, Fangli; Song, Zhenya; Bao, Ying (2013). FIO-ESM model output prepared for CMIP5 RCP8.5, served by ESGF. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/CMIP5.FIFIr8

BibTeX RIS
Description
[CMIP5:QualityLevel=3] [CMIP5:QualityFlag=approved by author] according to CMIP5 quality control rules http://cmip5qc.wdc-climate.de [CMIP5:DateOfQualityControl2=2013-05-13] [CMIP5:QualityControl2Comment=QC Level2 assigned at 2013-05-14 06:07:08 UTC: Exceptions raised by QC level2 tool for v20120524: Amon:mole_fraction_of_carbon_dioxide_in_air has constant value of 0.00043e-6] [CMIP5:CimMetadata=no CIM information available, no CIM cross-checks performed] [CMIP5:DateOfQualityControl3=2013-06-14]

[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 ]
[Quality Results:http://cera-www.dkrz.de/WDCC/CMIP5/QCResult.jsp?experiment=cmip5/output1/FIO/FIO-ESM/rcp85]
Method
CMIP5-QC
Method Description
Three level quality checks applied for CMIP5 and IPCC DDC AR5 data: https://cmip5qc.wdc-climate.de;
Stockhause et al., 2012, https://doi.org/10.5194/gmd-5-1023-2012.
Quality criteria QC2: https://redmine.dkrz.de/projects/cmip5-qc/wiki/Qcl2_criteria and QC3/TQA: https://redmine.dkrz.de/projects/cmip5-qc/wiki/Qc_l3#Criteria-for-QC-L3DOI-publication;
Quality Control Levels:
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.
Method Url
Description
The earth system model of FIO-ESM incorporating surface wave can rebuilt the climate system and global carbon cycle in the past, conduct the climate future prediction, and be employed to do the climate change attribution study, although there are still some common problems faced by all climate models.;SQA - Scientific Quality Assurance 'approved by author' 06/07/2013 08:31:31 ;TQA - Technical Quality Assurance 'approved by WDCC' 06/17/2013 08:06:20
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Parent

cmip5 output1 FIO FIO-ESM
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Additional Info

Details for selected entry
[Entry acronym: FIFIr8] [Entry id: 2478186]