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AGU: Geophysical Research Letters

 

Index Terms

  • Global Change: Atmosphere
  • Global Change: Biogeochemical processes
  • Global Change: Climate dynamics
  • Global Change: Remote sensing

Abstract

The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data

R. K. Kaufmann

Department of Geography, Boston University, Boston, Massachusetts, USA

L. Zhou

School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA

R. B. Myneni

Department of Geography, Boston University, Boston, Massachusetts, USA

C. J. Tucker

Biospheric Sciences Branch, Code 923, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

D. Slayback

Science Systems and Applications Inc., Biospheric Sciences Branch, Code 923, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

N. V. Shabanov

Department of Geography, Boston University, Boston, Massachusetts, USA

Jorge Pinzon

Science Systems and Applications Inc., Biospheric Sciences Branch, Code 923, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

We use statistical techniques to quantify the effect of interannual variations in vegetation within land covers on surface temperature in North America and Eurasia from satellite measures of surface greenness and ground based meteorological observations. During the winter, reductions in the extent of snow cover cause (in a statistical sense) temperature to rise. During the summer, increases in terrestrial vegetation within land covers cause (in a statistical sense) temperature to fall. Temperature-induced increases in vegetation have slowed increases in surface temperature, but this feedback may be limited by the range over which temperature has a positive effect on vegetation.

Received 25 July 2003; accepted 23 October 2003; published 20 November 2003.

Citation: Kaufmann, R. K., L. Zhou, R. B. Myneni, C. J. Tucker, D. Slayback, N. V. Shabanov, and J. Pinzon (2003), The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data, Geophys. Res. Lett., 30(22), 2147, doi:10.1029/2003GL018251.

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