IsabelleViensNadeauEtAl2021

Référence

Isabelle, P.-E., Viens, L., Nadeau, D.F., Anctil, F., Wang, J., Maheu, A. (2021) Sensitivity Analysis of the Maximum Entropy Production Method to Model Evaporation in Boreal and Temperate Forests. Geophysical Research Letters, 48(13). (Scopus )

Résumé

The maximum entropy production (MEP) approach has been little used to simulate evaporation in forests and its sensitivity to input variables has yet to be systematically evaluated. This study addresses these shortcomings. First, we show that the MEP model performed well in simulating evaporation during snow-free periods at six sites in temperate and boreal forests (0.68 ≤ NSE ≤ 0.82). Second, we computed a sensitivity coefficient S representing the proportion of change in the input variable transferred to the latent heat flux (λE). Net radiation (Rn) was the most influential variable (S ≈ 1) at all sites, indicating that an increase in Rn translates into an equivalent increase in λE. The MEP model avoided the issue of oversensitivity to air temperature (S < 0.5 at peak evaporation) and captured limitations to transpiration associated with the atmospheric evaporative demand. Overall, the MEP model offers a promising tool for climate change studies. © 2021. American Geophysical Union. All Rights Reserved.

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@ARTICLE { IsabelleViensNadeauEtAl2021,
    AUTHOR = { Isabelle, P.-E. and Viens, L. and Nadeau, D.F. and Anctil, F. and Wang, J. and Maheu, A. },
    JOURNAL = { Geophysical Research Letters },
    TITLE = { Sensitivity Analysis of the Maximum Entropy Production Method to Model Evaporation in Boreal and Temperate Forests },
    YEAR = { 2021 },
    NOTE = { cited By 0 },
    NUMBER = { 13 },
    VOLUME = { 48 },
    ABSTRACT = { The maximum entropy production (MEP) approach has been little used to simulate evaporation in forests and its sensitivity to input variables has yet to be systematically evaluated. This study addresses these shortcomings. First, we show that the MEP model performed well in simulating evaporation during snow-free periods at six sites in temperate and boreal forests (0.68 ≤ NSE ≤ 0.82). Second, we computed a sensitivity coefficient S representing the proportion of change in the input variable transferred to the latent heat flux (λE). Net radiation (Rn) was the most influential variable (S ≈ 1) at all sites, indicating that an increase in Rn translates into an equivalent increase in λE. The MEP model avoided the issue of oversensitivity to air temperature (S < 0.5 at peak evaporation) and captured limitations to transpiration associated with the atmospheric evaporative demand. Overall, the MEP model offers a promising tool for climate change studies. © 2021. American Geophysical Union. All Rights Reserved. },
    AFFILIATION = { CentrEau - Water Research Center, Département de génie civil et de génie des eaux, Université Laval, Québec, QC, Canada; Département des sciences naturelles, Université du Québec en Outaouais, Ripon, QC, Canada; Department of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States },
    ART_NUMBER = { e2020GL091919 },
    AUTHOR_KEYWORDS = { boreal forest; evaporation; maximum entropy production; sensitivity analysis; temperate forest },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1029/2020GL091919 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110337783&doi=10.1029%2f2020GL091919&partnerID=40&md5=c4f77667d3ad8be981a3f35236ecbefd },
}

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