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Influence of changed vegetations fields on regional climate simulations in the Barents Sea Region
- Source :
- Climatic Change. March, 2008, Vol. 87 Issue 1-2, p35, 16 p.
- Publication Year :
- 2008
-
Abstract
- Byline: Holger Gottel (1), Jorn Alexander (1), Elke Keup-Thiel (1), Diana Rechid (1), Stefan Hagemann (1), Tanja Blome (1), Annett Wolf (2), Daniela Jacob (1) Abstract: In the context of the EU-Project BALANCE ( http://balance-eu.info ) the regional climate model REMO was used for extensive calculations of the Barents Sea climate to investigate the vulnerability of this region to climate change. The regional climate model REMO simulated the climate change of the Barents Sea Region between 1961 and 2100 (Control and Climate Change run, CCC-Run). REMO on ~50 km horizontal resolution was driven by the transient ECHAM4/OPYC3 IPCC SRES B2 scenario. The output of the CCC-Run was applied to drive the dynamic vegetation model LPJ-GUESS. The results of the vegetation model were used to repeat the CCC-Run with dynamic vegetation fields. The feedback effect of the modified vegetation on the climate change signal is investigated and discussed with focus on precipitation, temperature and snow cover. The effect of the offline coupled vegetation feedback run is much lower than the greenhouse gas effect. Author Affiliation: (1) Max Planck Institute for Meteorology, Bundesstr. 53, 20146, Hamburg, Germany (2) Abisko Scientific Research Station, Royal Swedish Academy of Sciences, 98107, Abisko, Sweden Article History: Registration Date: 04/10/2007 Received Date: 05/07/2006 Accepted Date: 03/10/2007 Online Date: 27/11/2007
- Subjects :
- Barents Sea -- Environmental aspects
Barents Sea -- Models
Climatic changes -- Models
Climatic changes -- Influence
Plant communities -- Influence
Plant communities -- Models
Plant communities -- Environmental aspects
Precipitation (Meteorology) -- Models
Greenhouse gases -- Influence
Greenhouse gases -- Models
Earth sciences
Subjects
Details
- Language :
- English
- ISSN :
- 01650009
- Volume :
- 87
- Issue :
- 1-2
- Database :
- Gale General OneFile
- Journal :
- Climatic Change
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.175024837