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dc.contributor.authorJonas M
dc.contributor.authorElzen MGJ den
dc.contributor.authorOlendrzynski K
dc.date.accessioned2012-12-12T16:01:28Z
dc.date.available2012-12-12T16:01:28Z
dc.date.issued1991-10-31
dc.identifier222901005
dc.identifier.urihttp://hdl.handle.net/10029/257702
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractIn this report we lay the scientific and numerical basis for a two- dimensional Energy Balance Model (EBM) to be integrated into the climate module of IMAGE (the Integrated Model to Assess the Greenhouse Effect) developed at RIVM. This EBM will calculate regional projections of surface temperature, resolved with respect to latitude and height based on emission scenarios. Although our EBM-model is still simple - no distinction is yet made between land, atmosphere and ocean and, also, a deep ocean is not corporated - its implementation is an important step in the modeling hierarchy, which leads to a regionalized climate module within IMAGE. This module can be used as a tool for integrating IMAGE with environmental impact models, which than can run in a time-dependent mode.
dc.description.sponsorshipDGM/L
dc.format.extent58 p
dc.language.isoen
dc.relation.ispartofRIVM Rapport 222901005
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/222901005.html
dc.subject12nl
dc.subject91-4nl
dc.subjectklimaatmodelnl
dc.subjectregionalisatienl
dc.subjectimagenl
dc.subjecttemperatuurnl
dc.subjectintegratie; climate modulenl
dc.subjectregionalizaitonnl
dc.subjectimagenl
dc.subjecttemperaturenl
dc.subjectintegrationnl
dc.titleA Time Dependent Zonally Averaged Energy Balance Model to be Incorporated into Image (Integrated Model to Assess the Greenhouse Effect)en
dc.title.alternativeEen tijdsafhankelijke zonale gemiddelde energie balans model gekoppeld aan IMAGE (Geintegreerd model om het broeikasgas te schattennl
dc.typeReport
dc.date.updated2012-12-12T16:01:29Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractIn this report we lay the scientific and numerical basis for a two- dimensional Energy Balance Model (EBM) to be integrated into the climate module of IMAGE (the Integrated Model to Assess the Greenhouse Effect) developed at RIVM. This EBM will calculate regional projections of surface temperature, resolved with respect to latitude and height based on emission scenarios. Although our EBM-model is still simple - no distinction is yet made between land, atmosphere and ocean and, also, a deep ocean is not corporated - its implementation is an important step in the modeling hierarchy, which leads to a regionalized climate module within IMAGE. This module can be used as a tool for integrating IMAGE with environmental impact models, which than can run in a time-dependent mode.


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