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Greenhouse induced climate change in the Nordic countries as simulated with the Hamburg climate model. Part 1. Direct model output

Abstract

The climate change due to an increase in the concentration of radiatively active trace gases, i.e. greenhouse gases is described. We use data produced by a climate model which in a control experiment has been integrated for 100 years with the amount of CO{sub 2} fixed at the present observed level. In a corresponding experiment referred to as scenario A the same model has been integrated for 100 years with the amount of CO{sub 2} gradually increasing from the present concentrations according to the business as usual scenario. A brief description of the model and the data used can be found in the appendix. This model is referred to as the ECHAM-1 model. The choice of this particular model is very much based on practical considerations. For the time being the scientific literature only describes 4 climate models (of the coupled atmosphere ocean type) which have been used for transient climate scenario studies. Section 2 - concerns the Nordic area, including Greenland, and describes how closely the ECHAM-1 model control simulation resembles the observed climate. No attempts will be made to correct for systematic errors in the model. Furthermore, the relevance of using GCMs for estimation of the climate in  More>>
Authors:
Publication Date:
Dec 31, 1993
Product Type:
Technical Report
Report Number:
DMI-SR-93-2
Reference Number:
SCA: 540120; PA: DK-94:001066; EDB-94:032363; NTS-94:010249; ERA-19:010274; SN: 94001144685
Resource Relation:
Other Information: PBD: 1993
Subject:
54 ENVIRONMENTAL SCIENCES; DENMARK; CLIMATIC CHANGE; FINLAND; ICELAND; NORWAY; SWEDEN; GREENHOUSE EFFECT; CLIMATE MODELS; COMPUTERIZED SIMULATION; ATMOSPHERIC CIRCULATION; E CODES; 540120; CHEMICALS MONITORING AND TRANSPORT
OSTI ID:
10122905
Research Organizations:
Danish Meteorological Inst., Copenhagen (Denmark)
Country of Origin:
Denmark
Language:
English
Other Identifying Numbers:
Other: ON: DE94740156; ISBN 87-7478-311-4; TRN: DK9401066
Availability:
OSTI; NTIS
Submitting Site:
DK
Size:
23 p.
Announcement Date:
Jun 30, 2005

Citation Formats

Kaas, E. Greenhouse induced climate change in the Nordic countries as simulated with the Hamburg climate model. Part 1. Direct model output. Denmark: N. p., 1993. Web.
Kaas, E. Greenhouse induced climate change in the Nordic countries as simulated with the Hamburg climate model. Part 1. Direct model output. Denmark.
Kaas, E. 1993. "Greenhouse induced climate change in the Nordic countries as simulated with the Hamburg climate model. Part 1. Direct model output." Denmark.
@misc{etde_10122905,
title = {Greenhouse induced climate change in the Nordic countries as simulated with the Hamburg climate model. Part 1. Direct model output}
author = {Kaas, E}
abstractNote = {The climate change due to an increase in the concentration of radiatively active trace gases, i.e. greenhouse gases is described. We use data produced by a climate model which in a control experiment has been integrated for 100 years with the amount of CO{sub 2} fixed at the present observed level. In a corresponding experiment referred to as scenario A the same model has been integrated for 100 years with the amount of CO{sub 2} gradually increasing from the present concentrations according to the business as usual scenario. A brief description of the model and the data used can be found in the appendix. This model is referred to as the ECHAM-1 model. The choice of this particular model is very much based on practical considerations. For the time being the scientific literature only describes 4 climate models (of the coupled atmosphere ocean type) which have been used for transient climate scenario studies. Section 2 - concerns the Nordic area, including Greenland, and describes how closely the ECHAM-1 model control simulation resembles the observed climate. No attempts will be made to correct for systematic errors in the model. Furthermore, the relevance of using GCMs for estimation of the climate in the far future will not be discussed here. In Part 2 of this report the possibilities are investigated to project information from the large scale upper air flow onto local surface parameters (2 m temperature and precipitation). It is expected that local features can be represented with higher reliability than the direct model output if we use a statistical interpretation model, because the coarse geographical resolution of the ECHAM-1 tends to smooth out important local surface conditions as f.ex. steep orography while the upper air flow is considered to be relatively less dependent on such local features. (EG)}
place = {Denmark}
year = {1993}
month = {Dec}
}