DOI: 10.5194/hess-20-2403-2016
Scopus记录号: 2-s2.0-84976260797
论文题名: Modelling evapotranspiration during precipitation deficits: Identifying critical processes in a land surface model
作者: Ukkola A ; M ; , Pitman A ; J ; , Decker M ; , De Kauwe M ; G ; , Abramowitz G ; , Kala J ; , Wang Y ; -P
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 6 起始页码: 2403
结束页码: 2419
语种: 英语
Scopus关键词: Cables
; Evapotranspiration
; Heat flux
; Hydrology
; Latent heat
; Surface measurement
; Water content
; Hydrological process
; Land surface modeling
; Land surface models
; Model performance
; Plant functional type
; Precipitation deficits
; Stomatal conductance
; The standard model
; Rain
; evapotranspiration
; hydrological modeling
; land surface
; latent heat flux
; leaf area index
; precipitation (climatology)
; stomatal conductance
; surface flux
; timescale
; water stress
英文摘要: 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. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78815
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: ARC Centre of Excellence for Climate System Science, University of New South Wales, Kensington, NSW, Australia; Climate Change Research Centre, University of New South Wales, Kensington, NSW, Australia; Department of Biological Sciences, Macquarie University, Balaclava Road, North Ryde, NSW, Australia; Murdoch University, School of Veterinary and Life Sciences, Environmental and Conservation Sciences, Murdoch, WA, Australia; CSIRO Ocean and Atmosphere, Aspendale, VIC, Australia
Recommended Citation:
Ukkola A,M,, Pitman A,et al. Modelling evapotranspiration during precipitation deficits: Identifying critical processes in a land surface model[J]. Hydrology and Earth System Sciences,2016-01-01,20(6)