Advances in Atmospheric Sciences

, Volume 30, Issue 5, pp 1373–1386 | Cite as

Effect of implementing ecosystem functional type data in a mesoscale climate model

  • Seung-Jae Lee
  • E. Hugo Berbery
  • Domingo Alcaraz-Segura


In this paper, we introduce a new concept of land-surface state representation for southern South America, which is based on “functional” attributes of vegetation, and implement a new land-cover (Ecosystem Functional Type, hereafter EFT) dataset in the Weather and Research Forecasting (WRF) model. We found that the EFT data enabled us to deal with functional attributes of vegetation and time-variant features more easily than the default land-cover data in the WRF. In order to explore the usefulness of the EFT data in simulations of surface and atmospheric variables, numerical simulations of the WRF model, using both the US Geological Survey (USGS) and the EFT data, were conducted over the La Plata Basin in South America for the austral spring of 1998 and compared with observations. Results showed that the model simulations were sensitive to the lower boundary conditions and that the use of the EFT data improved the climate simulation of 2-m temperature and precipitation, implying the need for this type of information to be included in numerical climate models.

Key words

Ecosystem Functional Type WRF land cover climate simulation 


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Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Seung-Jae Lee
    • 1
  • E. Hugo Berbery
    • 2
  • Domingo Alcaraz-Segura
    • 3
  1. 1.Complex Systems Science Laboratory, Department of Landscape Architecture and Rural Systems EngineeringSeoul National UniversitySeoulKorea
  2. 2.Department of Atmospheric and Oceanic ScienceUniversity of MarylandCollege ParkUSA
  3. 3.Department of BotanyUniversity of GranadaGranadaSpain

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