Data

CSIRO Dawn to 2100 SRESA1B vas - GCM Northward wind near surface datasets 1850 to 2100 using the SRESA1B Scenario

Australian Ocean Data Network
CSIRO O&A, Information & Data Centre (Point of contact)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://marlin.csiro.au/geonetwork/srv/eng/catalog.search#/metadata/95672167-6397-417d-b3bc-2f4eba8da6cc&rft.title=CSIRO Dawn to 2100 SRESA1B vas - GCM Northward wind near surface datasets 1850 to 2100 using the SRESA1B Scenario&rft.identifier=Anzlic Identifier: ANZCW0306008021&rft.publisher=Australian Ocean Data Network&rft.description=The CSIRO Dawn-2100 archive contains datasets for atmospheric, land and oceanographic variables for the approximate period 1850 - 2100 (dependent on model). These have been created through the concatenation of 20th century (20C3M) and other scenario (currently SRESA1B or SRESA2) data from a number of the 25 differant global climate models (GCM) from various countries. The SRESA1B_vas dataset contains the Northward wind near surface variable for various GCM's and runs (multiple runs being averaged to a single file if existing) under the SRESA1B scenario (SRESA1B emissions 2001 to 2100, then constant GHG 720ppm). 19 GCM models are available with data for variables being in 12 month, annual and 4 seasons(DJF, MAM,JJA,SON) format with 36 files totaling 3.66 GB as Netcdf files. Available for internal use and analysis by CSIRO staff on the HPSC cherax.Progress Code: onGoingMaintenance and Update Frequency: asNeededStatement: Multiple GCM datasets from scenarios 20C3M & SRESA1B, (SRESA1B emissions 2001 to 2100, then constant GHG 720ppm) with multiple runs averaged (where available and possible) to give 1850-2100 data.&rft.creator=Anonymous&rft.date=2008&rft.coverage=westlimit=-180; southlimit=-90; eastlimit=180; northlimit=90&rft.coverage=westlimit=-180; southlimit=-90; eastlimit=180; northlimit=90&rft_rights=Available on the HPSC cherax for CSIRO internal use,&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=Earth Science | Atmosphere | Atmospheric Winds | Surface Winds&rft_subject=Global / Oceans | World&rft_subject=Model Run: 20C3M&rft_subject=Model Run: 20c3m&rft_subject=Model Run: SRESA1B&rft_subject=Model: CCCMA CGCM3.1 (t47), Canada&rft_subject=Model: CCCMA CGCM3.1 (t63), Canada&rft_subject=Model: CNRM-CM3, France&rft_subject=Model: CSIRO Global Climate model Mk3.5&rft_subject=Model: GFDL-CM2.0, USA&rft_subject=Model: GFDL-CM2.1, USA&rft_subject=Model: GISS-AOM, USA (NASA)&rft_subject=Model: GISS-EH, USA (NASA)&rft_subject=Model: GISS-ER, USA (NASA)&rft_subject=Model: IAP FGOALS-G1.0, China&rft_subject=Model: INMCM3.0, Russia&rft_subject=Model: IPSL-CM4, France&rft_subject=Model: MIROC3.2(hires), Japan&rft_subject=Model: MIROC3.2(medres)&rft_subject=Model: MIUB-ECHO-G, Germany/Korea&rft_subject=Model: MPI-ECHAM5, Germany&rft_subject=Model: MRI-CGCM2.3.2, Japan&rft_subject=Model: UKMO HadGEM1, UK&rft_subject=Model: UKMO-HadCM3, UK&rft.type=dataset&rft.language=English Access the data
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Available on the HPSC cherax for CSIRO internal use,

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Brief description

The CSIRO Dawn-2100 archive contains datasets for atmospheric, land and oceanographic variables for the approximate period 1850 - 2100 (dependent on model). These have been created through the concatenation of 20th century (20C3M) and other scenario (currently SRESA1B or SRESA2) data from a number of the 25 differant global climate models (GCM) from various countries. The SRESA1B_vas dataset contains the Northward wind near surface variable for various GCM's and runs (multiple runs being averaged to a single file if existing) under the SRESA1B scenario (SRESA1B emissions 2001 to 2100, then constant GHG 720ppm). 19 GCM models are available with data for variables being in 12 month, annual and 4 seasons(DJF, MAM,JJA,SON) format with 36 files totaling 3.66 GB as Netcdf files. Available for internal use and analysis by CSIRO staff on the HPSC cherax.

Lineage

Progress Code: onGoing
Maintenance and Update Frequency: asNeeded
Statement: Multiple GCM datasets from scenarios 20C3M & SRESA1B, (SRESA1B emissions 2001 to 2100, then constant GHG 720ppm) with multiple runs averaged (where available and possible) to give 1850-2100 data.

Notes

Credit
CSIRO, PCMDI Data archives, WCRP CMIP3 Multi Model Database.
Credit
Janice Bathols
Credit
Dewi Kirono
Credit
CCMA-CGCM3.1(T47) Canada
Credit
CCMA-CGCM3.1(T63) Canada
Credit
CNRM-CM3 France
Credit
CSIRO-Mk3.5 Australia
Credit
GFDL-CM2.0 USA
Credit
GFDL-CM2.1 USA
Credit
GISS-AOM USA
Credit
GISS-EH USA
Credit
GISS-ER USA
Credit
IAP-FGOALS-g1.0 China
Credit
INM-CM3.0 Russia
Credit
IPSL-CM4 France
Credit
MIROC3.2(hires) Japan
Credit
MIROC3.2(medres) Japan
Credit
ECHO-G Germany/Korea
Credit
ECHAM5 Germany
Credit
MRI-CGCM2.3.2 Japan
Credit
UKMO-HadCM3 UK
Credit
UKMO HadGEM1 UK.

Data time period: 1850-01-01

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text: westlimit=-180; southlimit=-90; eastlimit=180; northlimit=90

Subjects
Earth Science | Atmosphere | Atmospheric Winds | Surface Winds | Global / Oceans | World | Model Run: 20C3M | Model Run: 20c3m | Model Run: SRESA1B | Model: CCCMA CGCM3.1 (t47), Canada | Model: CCCMA CGCM3.1 (t63), Canada | Model: CNRM-CM3, France | Model: CSIRO Global Climate model Mk3.5 | Model: GFDL-CM2.0, USA | Model: GFDL-CM2.1, USA | Model: GISS-AOM, USA (NASA) | Model: GISS-EH, USA (NASA) | Model: GISS-ER, USA (NASA) | Model: IAP FGOALS-G1.0, China | Model: INMCM3.0, Russia | Model: IPSL-CM4, France | Model: MIROC3.2(hires), Japan | Model: MIROC3.2(medres) | Model: MIUB-ECHO-G, Germany/Korea | Model: MPI-ECHAM5, Germany | Model: MRI-CGCM2.3.2, Japan | Model: UKMO HadGEM1, UK | Model: UKMO-HadCM3, UK | climatologyMeteorologyAtmosphere |

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Other Information
PCMDI Standard Output from Coupled Ocean-Atmospher GCM's (Documentation Link)

uri : https://www-pcmdi.llnl.gov/ipcc/standard_output.html

WCRP CMIP3 Multi-Model Data All Variables List (Documentation Link)

uri : https://esg.llnl.gov:8443/about/ipccTables.do

Identifiers
  • Local : Anzlic Identifier: ANZCW0306008021
  • Local : Marlin Record Number: 8021
  • global : 95672167-6397-417d-b3bc-2f4eba8da6cc
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