Logo image
Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model
Journal article   Open access   Peer reviewed

Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model

A.M. Ukkola, A.J. Pitman, M. Decker, M.G. De Kauwe, G. Abramowitz, J. Kala and Y-P Wang
Hydrology and Earth System Sciences, Vol.20(6), pp.2403-2419
2016
pdf
modelling evapotranspiration during precipitation deficits.pdfDownloadView
Author’s VersionCC BY-NC V4.0 Open Access
url
Free to Read *No subscription requiredView

Abstract

Surface fluxes from land surface models (LSMs) have traditionally been evaluated against monthly, seasonal or annual mean states. The limited ability of LSMs to reproduce observed evaporative fluxes under water-stressed conditions has been previously noted, but very few studies have systematically evaluated these models during rainfall deficits. We evaluated latent heat fluxes simulated by the Community Atmosphere Biosphere Land Exchange (CABLE) LSM across 20 flux tower sites at sub-annual to inter-annual timescales, in particular focusing on model performance during seasonal-scale rainfall deficits. The importance of key model processes in capturing the latent heat flux was explored by employing alternative representations of hydrology, leaf area index, soil properties and stomatal conductance. We found that the representation of hydrological processes was critical for capturing observed declines in latent heat during rainfall deficits. By contrast, the effects of soil properties, LAI and stomatal conductance were highly site-specific. Whilst the standard model performs reasonably well at annual scales as measured by common metrics, it grossly underestimates latent heat during rainfall deficits. A new version of CABLE, with a more physically consistent representation of hydrology, captures the variation in the latent heat flux during seasonal-scale rainfall deficits better than earlier versions, but remaining biases point to future research needs. Our results highlight the importance of evaluating LSMs under water-stressed conditions and across multiple plant functional types and climate regimes.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#6 Clean Water and Sanitation
#13 Climate Action
#14 Life Below Water

Source: InCites

Metrics

181 File views/ downloads
98 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
8 Earth Sciences
8.19 Oceanography, Meteorology & Atmospheric Sciences
8.19.7 Hydroclimatic Modeling
Web Of Science research areas
Geosciences, Multidisciplinary
Water Resources
ESI research areas
Geosciences
Logo image