IPCC_ECHAM4OPYC_SRES_A2_MM
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 atmosphere 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
additionel meteorological parameters.
The run produces monthly averaged values of the variabeles.
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 period 1860-1990.
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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)). IPCC_ECHAM4OPYC_SRES_A2_MM. https://gdk.gdi-de.org/geonetwork/srv/api/records/de.dkrz.wdcc.iso2003563 |
INSPIRE
Identification
- File identifier
- de.dkrz.wdcc.iso2003563 XML
- Hierarchy level
- series Series
Online resource
Resource identifier
- code
- None
- Metadata language
- eng English
Encoding
- Format
- 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 )
-
- ECHAM4
- Keywords ( Theme )
-
- IPCC-DDC
- Keywords ( Theme )
-
- IPCC-TAR
- Keywords ( Theme )
-
- SRES-A2
- Keywords ( Theme )
-
- MPI-M
- Keywords ( Theme )
-
- SRES_A2
- Keywords ( Theme )
-
- ECHAM4-OPYC3
Geographic coverage
Temporal reference
Temporal extent
- Begin
- 1990-01-01
- End
- 2100-12-31
- Begin
- 1990-01-01
- End
- 2100-12-31
Temporal extent
- Date ( Creation )
- 2001-12-31
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
- Danish Meteorological Institute
- Organisation name
- Max-Planck-Institut fuer Meteorologie
- Date stamp
- 2022-04-25T04:53:02