Articles | Volume 10, issue 5
https://doi.org/10.5194/gmd-10-1903-2017
https://doi.org/10.5194/gmd-10-1903-2017
Model description paper
 | 
17 May 2017
Model description paper |  | 17 May 2017

GLEAM v3: satellite-based land evaporation and root-zone soil moisture

Brecht Martens, Diego G. Miralles, Hans Lievens, Robin van der Schalie, Richard A. M. de Jeu, Diego Fernández-Prieto, Hylke E. Beck, Wouter A. Dorigo, and Niko E. C. Verhoest

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Amos, B., Arkebauer, T. J., and Doran, J. W.: Soil surface fluxes of greenhouse gases in an irrigated maize-based agroecosystem, Soil Sci. Soc. Am. J., 69, 387–395, https://doi.org/10.2136/sssaj2005.0387, 2005.
Arain, M. A. and Restrepo-Coupe, N.: Net ecosystem production in a temperate pine plantation in southeastern Canada, Agr. Forest Meteorol., 128, 223–241, 2005.
Ardö, J., Mölder, M., El-Tahir, B. A., and Elkhidir, H. A. M.: Seasonal variation of carbon fluxes in a sparse savanna in semi arid Sudan, Carbon Balance and Management, 3, 1–18, https://doi.org/10.1186/1750-0680-3-7, 2008.
Armstrong, R., Brodzik, M., Knowles, K., and Savoie, M.: Global Monthly EASE-Grid Snow Water Equivalent Climatology, Version 1, https://doi.org/10.5067/KJVERY3MIBPS, 2005.
Aubinet, M., Chermanne, B., Vandenhaute, M., Longdoz, B., Yernaux, M., and Laitat, E.: Long term carbon dioxide exchange above a mixed forest in the Belgian Ardennes, Agr. Forest Meteorol., 108, 293–315, 2001.
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Short summary
Terrestrial evaporation is a key component of the hydrological cycle and reliable data sets of this variable are of major importance. The Global Land Evaporation Amsterdam Model (GLEAM, www.GLEAM.eu) is a set of algorithms which estimates evaporation based on satellite observations. The third version of GLEAM, presented in this study, includes an improved parameterization of different model components. As a result, the accuracy of the GLEAM data sets has been improved upon previous versions.