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A statistical study of the regional impact of deforestation on climate in the LMD GCM

Journal Article · · Climate Dynamics
DOI:https://doi.org/10.1007/BF00208988· OSTI ID:443610
;  [1]
  1. Laboratoire de Meterologie Dynamique du CNRS, Paris (France)

The present study uses the general circulation model of the Laboratoire de Meteorologie Dynamique (LMD-GCM) coupled to the land-surface, vegetation model SECHIBA. The impact of deforestation on climate is discussed. Replacing tropical forests by degraded pastures changes albedo, the roughness length and the hydrological properties of the surface. The experiment was carried out over eleven years using the observed sea surface temperature from 1978 to 1988, which includes two major El Nino events. The discussion of the results in this study is limited to the regional impact of deforestation. The changes found for the surface fluxes in Amazonia, Africa, and Indonesia are examined in detail and compared in order to understand the impact on temperature. Special attention is paid to feedback mechanisms which compensate for the surface changes and to the statistical significant of these results within athe tropical variability of climate. It is shown that the relatively small regional impact of deforestation in this study is statistically significant and largely independent of the El Nino-Southern Oscillation phenomenon. 27 refs., 7 figs., 11 tabs.

Sponsoring Organization:
USDOE
OSTI ID:
443610
Journal Information:
Climate Dynamics, Journal Name: Climate Dynamics Journal Issue: 4-5 Vol. 10; ISSN 0930-7575; ISSN CLDYEM
Country of Publication:
United States
Language:
English

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