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Geostatistical improvements of evapotranspiration spatial information using satellite land surface and weather stations data

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Abstract

The objective of the present study was to use the simple cokriging methodology to characterize the spatial variability of Penman–Monteith reference evapotranspiration and Thornthwaite potential evapotranspiration methods based on Moderate Resolution Imaging Spetroradiometer (MODIS) global evapotranspiration products and high-resolution surfaces of WordClim temperature and precipitation data. The climatic element data referred to 39 National Institute of Meteorology climatic stations located in Minas Gerais state, Brazil and surrounding states. The use of geostatistics and simple cokriging technique enabled the characterization of the spatial variability of the evapotranspiration providing uncertainty information on the spatial prediction pattern. Evapotranspiration and precipitation surfaces were implemented for the climatic classification in Minas Gerais. Multivariate geostatistical determined improvements of evapotranspiration spatial information. The regions in the south of Minas Gerais derived from the moisture index estimated with the MODIS evapotranspiration (2000–2010), presented divergence of humid conditions when compared to the moisture index derived from the simple kriged and cokriged evapotranspiration (1961–1990), indicating climate change in this region. There was stronger pattern of crossed covariance between evapotranspiration and precipitation rather than temperature, indicating that trends in precipitation could be one of the main external drivers of the evapotranspiration in Minas Gerais state, Brazil.

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Acknowledgments

The authors thanks Maosheng Zhao and Qiaozhen Mu for the MODIS dataset and José Roberto Soares Scolforo and Secretary of State for the Environment and Sustainable Development of Minas Gerais for the accomplishment of the ecological and economical zoning of Minas Gerais through which it was possible to generate the present study.

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Authors and Affiliations

  1. Soil and Rural Engineering Department, Federal University of Mato Grosso, Cuiabá, Brazil

    Marcelo de Carvalho Alves

  2. Engineering Department (DEG), Federal University of Lavras (UFLA), Campus, Cx 3037, CEP 37200-000, Lavras, Minas Gerais, Brazil

    Luiz Gonsaga de Carvalho

  3. National Institute of Meteorology, 5o DISME, Avenida do Contorno, n.8159, Santo Agostinho, CEP 30110-051, Minas Gerais, Brazil

    Rubens Leite Vianello

  4. Agricultural Department, Federal University of Viçosa, Av P. H. Holfs, Centro, CEP 36571000, Viçosa, Minas Gerais, Brazil

    Gilberto C. Sediyama

  5. Department of Exact Sciences, UFLA/DEX, Lavras, Brazil

    Marcelo Silva de Oliveira

  6. Federal Institute of Education, Science and Technology of the South of Minas Gerais, Cx 02, km 35, Morro Preto, CEP 37890-000, Muzambinho, MG, Brazil

    Arionaldo de Sá Junior

Authors
  1. Marcelo de Carvalho Alves
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  2. Luiz Gonsaga de Carvalho
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  3. Rubens Leite Vianello
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  4. Gilberto C. Sediyama
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  5. Marcelo Silva de Oliveira
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  6. Arionaldo de Sá Junior
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Correspondence to Marcelo de Carvalho Alves.

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de Carvalho Alves, M., de Carvalho, L.G., Vianello, R.L. et al. Geostatistical improvements of evapotranspiration spatial information using satellite land surface and weather stations data. Theor Appl Climatol 113, 155–174 (2013). https://doi.org/10.1007/s00704-012-0772-1

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  • DOI: https://doi.org/10.1007/s00704-012-0772-1

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