Articles | Volume 8, issue 8
https://doi.org/10.5194/bg-8-2269-2011
https://doi.org/10.5194/bg-8-2269-2011
Research article
 | 
22 Aug 2011
Research article |  | 22 Aug 2011

Characterizing the multi–scale spatial structure of remotely sensed evapotranspiration with information theory

N. A. Brunsell and M. C. Anderson

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Cited articles

Anderson, M. C., Norman, J., Diak, G., Kustas, W., and Mecikalski, J. R.: A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing, Remote Sens. Environ., 60(2), 195–216, 1997.
Anderson, M. C., Kustas, W. P., and Norman, J. M.: Upscaling and downscaling – a regional view of the soil-plant-atmosphere continuum, Agronom. J., 95, 1408–1423, 2003.
Anderson, M. C., Norman, J., Mecikalski, J., Torn, R., Kustas, W., and Basara, J.: A multiscale remote sensing model for disaggregating regional fluxes to micrometeorological scales, J. Hydrometeorol., 5, 343–363, 2004.
Anderson, M. C., Norman, J., Mecikalski, J., Otkin, J., and Kustas, W.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation, J. Geophys. Res., 112, D10117, 1–17, 2007.
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29, 2001.
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