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Volume 22, issue 8 | Copyright
Hydrol. Earth Syst. Sci., 22, 4513-4533, 2018
https://doi.org/10.5194/hess-22-4513-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 27 Aug 2018

Research article | 27 Aug 2018

Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements

Carlos Jiménez1,2, Brecht Martens3, Diego M. Miralles3, Joshua B. Fisher4, Hylke E. Beck5, and Diego Fernández-Prieto6 Carlos Jiménez et al.
  • 1Estellus, Paris, France
  • 2LERMA, Paris Observatory, Paris, France
  • 3Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
  • 4Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
  • 5Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA
  • 6ESRIN, European Space Agency, Frascati, Italy

Abstract. An inverse error variance weighting of the anomalies of three terrestrial evaporation (ET) products from the WACMOS-ET project based on FLUXNET sites is presented. The three ET models were run daily and at a resolution of 25km for 2002–2007, and based on common input data when possible. The local weights, derived based on the variance of the difference between the tower ET anomalies and the modelled ET anomalies, were made dynamic by estimating them using a 61-day running window centred on each day. These were then extrapolated from the tower locations to the global landscape by regressing them on the main model inputs and derived ET using a neural network. Over the stations, the weighted scheme usefully decreased the random error component, and the weighted ET correlated better with the tower data than a simple average. The global extrapolation produced weights displaying strong seasonal and geographical patterns, which translated into spatiotemporal differences between the ET weighted and simple average ET products. However, the uncertainty of the weights after the extrapolation remained large. Out-sample prediction tests showed that the tower data set, mostly located at temperate regions, had limitations with respect to the representation of different biome and climate conditions. Therefore, even if the local weighting was successful, the extrapolation to a global scale remains problematic, showing a limited added value over the simple average. Overall, this study suggests that merging tower observations and ET products at the timescales and spatial scales of this study is complicated by the tower spatial representativeness, the products' coarse spatial resolution, the nature of the error in both towers and gridded data sets, and how all these factors impact the weights extrapolation from the tower locations to the global landscape.

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Observing the amount of water evaporated in nature is not easy, and we need to combine accurate local measurements with estimates from satellites, more uncertain but covering larger areas. This is the main topic of our paper, in which local observations are compared with global land evaporation estimates, followed by a weighting of the global observations based on this comparison to attempt derive a more accurate evaporation product.
Observing the amount of water evaporated in nature is not easy, and we need to combine accurate...
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