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The albedo of temperate and boreal forest and the Northern Hemisphere climate: A sensitivity experiment using the LMD GCM

Journal Article · · Climate Dynamics
DOI:https://doi.org/10.1007/BF00208990· OSTI ID:443612
;  [1]
  1. Laboratoire de Meteorologie Dynamique du CNRS, Paris (France)

A deforestation experiment is performed using the Laboratoire de Meteorologie Dynamique Atmospheric General Circulation Model (LMD GCM) to determine the climatic role of the largest vegetation formation in the Northern Hemisphere, localized mostly north of latitude 45{degree}N, which is called the temperate and boreal forest. For this purpose, an iterative albedo scheme based on vegetation type, snow age, snowfall rate and area of snow cover, is developed for snow-covered surfaces. The results show a cooling of Northern Hemisphere soil and an increase in the snow cover when the forest is removed, as found by previous similar experiments. In our study this cooling is related to different causes, depending on the season. It is linked to modifications in the soil radiative properties, like surface albedo, due to the disappearance of forest, and consequently, to a greater exposure of the snow-covered soil underneath. It is also related to alterations in the hydrological cycle, observed mainly in summer and autumn at middle latitudes. The model shows a strong sensitivity to the coupled surface albedo - soil temperature - fractional snow cover response in the spring. A later and longer snowmelt season is also detected. This study adds to our understanding of climatic variation on longer time scales, since it is widely accepted that the formation and disappearance of different vegetation formations is closely related to climatic evolution patterns, in particular on the time scale of the glacial oscillations. 32 refs., 12 figs.

Sponsoring Organization:
USDOE
OSTI ID:
443612
Journal Information:
Climate Dynamics, Journal Name: Climate Dynamics Journal Issue: 4-5 Vol. 10; ISSN CLDYEM; ISSN 0930-7575
Country of Publication:
United States
Language:
English

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