Skip to main navigation Skip to search Skip to main content

Spatiotemporal patterns of evapotranspiration in response to multiple environmental factors simulated by the Community Land Model

Research output: Contribution to journalArticlepeer-review

85 Scopus citations

Abstract

Spatiotemporal patterns of evapotranspiration (ET) over the period from 1982 to 2008 are investigated and attributed to multiple environmental factors using the Community Land Model version 4 (CLM4). Our results show that CLM4 captures the spatial distribution and interannual variability of ET well when compared to observation-based estimates. We find that climate dominates the predicted variability in ET. Elevated atmospheric CO2 concentration also plays an important role in modulating the trend of predicted ET over most land areas, and replaces climate to function as the dominant factor controlling ET changes over the North America, South America and Asia regions. Compared to the effect of climate and CO2 concentration, the roles of other factors such as nitrogen deposition, land use change and aerosol deposition are less pronounced and regionally dependent. The aerosol deposition contribution is the third most important factor for trends of ET over Europe, while it has the smallest impact over other regions. As ET is a dominant component of the terrestrial water cycle, our results suggest that environmental factors like elevated CO2, nitrogen and aerosol depositions, and land use change, in addition to climate, could have significant impact on future projections of water resources and water cycle dynamics at global and regional scales.

Original languageEnglish
Article number024012
JournalEnvironmental Research Letters
Volume8
Issue number2
DOIs
StatePublished - Apr 2013

Keywords

  • Community Land Model (CLM)
  • evapotranspiration (ET)
  • model tree ensembles (MTE)

Fingerprint

Dive into the research topics of 'Spatiotemporal patterns of evapotranspiration in response to multiple environmental factors simulated by the Community Land Model'. Together they form a unique fingerprint.

Cite this