2012
DOI: 10.5194/bg-9-161-2012
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Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model

Abstract: Abstract. Evapotranspiration (ET) flux constitutes a major component of both the water and energy balances at the land surface. Among the many factors that control evapotranspiration, phenology poses a major source of uncertainty in attempts to predict ET. Contemporary approaches to ET modeling and monitoring frequently summarize the complexity of the seasonal development of vegetation cover into static phenological trajectories (or climatologies) that lack sensitivity to changing environmental conditions. The… Show more

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Cited by 9 publications
(10 citation statements)
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“…Along with r 2 and RMSE, we examined the spatiotemporal patterns of residuals ( m − c ) to identify conditions where coupled scheme maintains or loses its adequacy. Previous testing of the EDPM and VegET at flux tower locations showed high levels of performance for the coupled model [ Kovalskyy and Henebry , , ]. In this regional application of the coupled model, the performance expectations are given by the earlier point‐based performances; namely, for NDVI estimates, r 2 = 0.8 ± 0.1 with RMSE = 0.1 ± 0.025, and for ET a , r 2 = 0.7 ± 0.15 with RMSE = 1.4 ± 0.5 mm per day, and transforming into 8 day aggregates by simple multiplication yields RMSE = 11.2 ± 4 mm per 8 days.…”
Section: Methodsmentioning
confidence: 84%
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“…Along with r 2 and RMSE, we examined the spatiotemporal patterns of residuals ( m − c ) to identify conditions where coupled scheme maintains or loses its adequacy. Previous testing of the EDPM and VegET at flux tower locations showed high levels of performance for the coupled model [ Kovalskyy and Henebry , , ]. In this regional application of the coupled model, the performance expectations are given by the earlier point‐based performances; namely, for NDVI estimates, r 2 = 0.8 ± 0.1 with RMSE = 0.1 ± 0.025, and for ET a , r 2 = 0.7 ± 0.15 with RMSE = 1.4 ± 0.5 mm per day, and transforming into 8 day aggregates by simple multiplication yields RMSE = 11.2 ± 4 mm per 8 days.…”
Section: Methodsmentioning
confidence: 84%
“…Prior to this evaluation, the EDPM was successfully tested only in point‐based experiments [ Kovalskyy and Henebry , ,]. However, the spatially explicit application of the EDPM required amendments to the functioning of the EDPM phenological phase control module in order to match the variability of the growing season dates within a wider range of conditions.…”
Section: Methodsmentioning
confidence: 99%
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“…Accurate ET calculation depends on the success of quantifying soil surface evaporation (E ss ) and transpiration (T) from vegetation (Ding et al, 2013;Kovalskyy & Henebry, 2012). However, even with adequate ET accuracy, most models are not accurate or unspecified in how they partition E ss and T (Decker, Or, Pitman, & Ukkola, 2017).…”
mentioning
confidence: 99%