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Biomes computed from simulated climatologies

Abstract

The biome model of Prentice et al. is used to predict global patterns of potential natural plant formations, or biomes, from climatologies simulated by ECHAM, a model used for climate simulations at the Max-Planck-Institut fuer Meteorologie. This study is undertaken in order to show the advantage of this biome model in comprehensively diagnosing the performance of a climate model and assessing effects of past and future climate changes predicted by a climate model. Good overall agreement is found between global patterns of biomes computed from observed and simulated data of present climate. But there are also major discrepancies indicated by a difference in biomes in Australia, in the Kalahari Desert, and in the Middle West of North America. These discrepancies can be traced back to failures in simulated rain fall as well as summer or winter temperatures. Global patterns of biomes computed from an ice age simulation reveal that North America, Europe, and Siberia should have been covered largely by tundra and taiga, whereas only small differences are seen for the tropical rain forests. A potential North-East shift of biomes is expected from a simulation with enhanced CO{sub 2} concentration according to the IPCC Scenario A. Little change is seen  More>>
Publication Date:
Sep 01, 1992
Product Type:
Conference
Report Number:
CONF-9209353-1
Reference Number:
SCA: 540110; PA: DE-93:006396; SN: 93000996902
Resource Relation:
Journal Issue: no. 89; Conference: 2. international conference on modelling of global climate change and variability,Hamburg (Germany),7-11 Sep 1992; Other Information: PBD: Sep 1992; Related Information: Max-Planck-Institut fuer Meteorologie. Report
Subject:
54 ENVIRONMENTAL SCIENCES; CLIMATES; MATHEMATICAL MODELS; BIOMASS; VARIATIONS; COMPUTERIZED SIMULATION; CARBON DIOXIDE; CLIMATIC CHANGE; PLANTS; GREENHOUSE EFFECT; 540110; BASIC STUDIES
OSTI ID:
10156169
Research Organizations:
Max-Planck-Institut fuer Meteorologie, Hamburg (Germany)
Country of Origin:
Germany
Language:
English
Other Identifying Numbers:
Other: ON: DE93792714; TRN: DE9306396
Availability:
OSTI; NTIS (US Sales Only)
Submitting Site:
DE
Size:
21 p.
Announcement Date:
Jul 06, 2005

Citation Formats

Claussen, W, and Esch, M. Biomes computed from simulated climatologies. Germany: N. p., 1992. Web.
Claussen, W, & Esch, M. Biomes computed from simulated climatologies. Germany.
Claussen, W, and Esch, M. 1992. "Biomes computed from simulated climatologies." Germany.
@misc{etde_10156169,
title = {Biomes computed from simulated climatologies}
author = {Claussen, W, and Esch, M}
abstractNote = {The biome model of Prentice et al. is used to predict global patterns of potential natural plant formations, or biomes, from climatologies simulated by ECHAM, a model used for climate simulations at the Max-Planck-Institut fuer Meteorologie. This study is undertaken in order to show the advantage of this biome model in comprehensively diagnosing the performance of a climate model and assessing effects of past and future climate changes predicted by a climate model. Good overall agreement is found between global patterns of biomes computed from observed and simulated data of present climate. But there are also major discrepancies indicated by a difference in biomes in Australia, in the Kalahari Desert, and in the Middle West of North America. These discrepancies can be traced back to failures in simulated rain fall as well as summer or winter temperatures. Global patterns of biomes computed from an ice age simulation reveal that North America, Europe, and Siberia should have been covered largely by tundra and taiga, whereas only small differences are seen for the tropical rain forests. A potential North-East shift of biomes is expected from a simulation with enhanced CO{sub 2} concentration according to the IPCC Scenario A. Little change is seen in the tropical rain forest and the Sahara. Since the biome model used is not capable of predicting changes in vegetation patterns due to a rapid climate change, the latter simulation has to be taken as a prediction of changes in conditions favorable for the existence of certain biomes, not as a prediction of a future distribution of biomes. (orig.).}
issue = {no. 89}
place = {Germany}
year = {1992}
month = {Sep}
}