ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES
The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES-A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change.
The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmospheric component is the standard model version of a 19-level hybrid sigma-pressure coordinate system.
The ocean component is a model which computes with isopycnal coordinates.
ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ).
This data set is an enlargement of the IPCC data set and provides additional meteorological parameters.
The run produces 6h values of the variables.
ECHAM4/OPYC3 (http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ).
Changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment EH4OPYC_22723GSDIO) which has been run with observed conditions for the time periode 1860 to 1990.
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Citation proposal
Dr. Martin Stendel (Max-Planck-Institut fuer Meteorologie (MD)) - Torben Schmith (Max-Planck-Institut fuer Meteorologie (MD)) - Dr. Erich Roeckner (Max-Planck-Institut fuer Meteorologie (MD)) - Prof. Dr. Ulrich Cubasch (Max-Planck-Institut fuer Meteorologie (MD)). ECHAM4_OPYC_SRES_A2: 110 YEARS COUPLED A2 RUN 6H VALUES. https://gdk.gdi-de.org/geonetwork/srv/api/records/de.dkrz.wdcc.iso2005307 |
INSPIRE
Identification
- File identifier
- de.dkrz.wdcc.iso2005307 XML
- Hierarchy level
- series Series
Online resource
Resource identifier
- code
- None
- Metadata language
- eng English
Encoding
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- GRIB
- Version
- WMO format GRIdded Binary data
Projection
Classification of data and services
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Keywords
Other keywords
- Keywords ( Theme )
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- ECHAM4
- Keywords ( Theme )
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- OPYC
- Keywords ( Theme )
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- SRES-A2
- Keywords ( Theme )
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- climate simulation
Geographic coverage
Temporal reference
Temporal extent
- Begin
- 0130-01-01
- End
- 0240-12-30
- Begin
- 0130-01-01
- End
- 0240-12-30
Temporal extent
- Date ( Creation )
- 2003-01-26
Quality and validity
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
Restrictions on access and use
Restrictions on access and use
Responsible organization (s)
Contact for the resource
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
Responsible organization (s)
Contact for the resource
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
Metadata information
Contact for the metadata
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Max-Planck-Institut fuer Meteorologie (MD)
- Organisation name
- Danish Meteorological Institute
- Date stamp
- 2022-04-25T04:53:18