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Uncertainties in transpiration estimates

A. M. J. Coenders-Gerrits (), R. J. van der Ent, T. A. Bogaard, L. Wang-Erlandsson, M. Hrachowitz and H. H. G. Savenije
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A. M. J. Coenders-Gerrits: Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands
R. J. van der Ent: Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands
T. A. Bogaard: Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands
L. Wang-Erlandsson: Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands
M. Hrachowitz: Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands
H. H. G. Savenije: Water Resources Section, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands

Nature, 2014, vol. 506, issue 7487, E1-E2

Abstract: Abstract arising from S. Jasechko et al. Nature 496, 347–350 (2013) How best to assess the respective importance of plant transpiration over evaporation from open waters, soils and short-term storage such as tree canopies and understories (interception) has long been debated. On the basis of data from lake catchments, Jasechko et al.1 conclude that transpiration accounts for 80–90% of total land evaporation globally (Fig. 1a). However, another choice of input data, together with more conservative accounting of the related uncertainties, reduces and widens the transpiration ratio estimation to 35–80%. Hence, climate models do not necessarily conflict with observations, but more measurements on the catchment scale are needed to reduce the uncertainty range. There is a Reply to this Brief Communications Arising by Jasechko, S. et al. Nature 506, http://dx.doi.org/10.1038/nature12926 (2014). Figure 1 Ratio of transpiration to total evaporation. a–c, Box plots are calculated using a simplified Monte Carlo simulation of equation (4)1 with data from Jasechko et al .1 (a), and with the same data as in a but with Q = 39,600 ± 5,100 km3 per year and xP = 20,100 ± 9,800 km3 per year (b), and with the same data as in b but with dE = 75 ± 60‰ (c). The blue box indicates the 25th and 75th percentiles with the median in red. The error bars indicate the minimum and maximum values. The red crosses indicate outliers (3/2 times the central box). PowerPoint slide

Date: 2014
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DOI: 10.1038/nature12925

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