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Rainfall interception modelling: Is the wet bulb approach adequate to estimate mean evaporation rate from wet/saturated canopies in all forest types?

dc.contributor.authorPereira, Fernando Leite
dc.contributor.authorValente, Fernanda
dc.contributor.authorDavid, Jorge Soares
dc.contributor.authorJackson, N.
dc.contributor.authorMinunno, F.
dc.contributor.authorGash, John H.C.
dc.date.accessioned2022-02-01T11:15:25Z
dc.date.available2022-02-01T11:15:25Z
dc.date.issued2016
dc.description.abstractThe Penman–Monteith equation has been widely used to estimate the maximum evaporation rate (E) from wet/saturated forest canopies, regardless of canopy cover fraction. Forests are then represented as a big leaf and interception loss considered essentially as a one-dimensional process. With increasing forest sparseness the assumptions behind this big leaf approach become questionable. In sparse forests it might be better to model E and interception loss at the tree level assuming that the individual tree crowns behave as wet bulbs (“wet bulb approach”). In this study, and for five different forest types and climate conditions, interception loss measurements were compared to modelled values (Gash’s interception model) based on estimates of E by the Penman–Monteith and the wet bulb approaches. Results show that the wet bulb approach is a good, and less data demanding, alternative to estimate E when the forest canopy is fully ventilated (very sparse forests with a narrow canopy depth). When the canopy is not fully ventilated, the wet bulb approach requires a reduction of leaf area index to the upper, more ventilated parts of the canopy, needing data on the vertical leaf area distribution, which is seldom-available. In such cases, the Penman–Monteith approach seems preferable. Our data also show that canopy cover does not per se allow us to identify if a forest canopy is fully ventilated or not. New methodologies of sensitivity analyses applied to Gash’s model showed that a correct estimate of E is critical for the proper modelling of interception loss.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVALENTE, F. [et al.] (2020) - Modelling rainfall interception by an olive-grove/pasture system with a sparse tree canopy. J. Hydrol. 581, p.124417. DOI: https://doi.org/10.1016/j.jhydrol.2019.124417pt_PT
dc.identifier.doi10.1016/j.jhydrol.2016.01.035pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/7871
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationIncentive/AGR/UI0239/2013pt_PT
dc.relationStrategic Project - UI 239 - 2011-2012
dc.relation2014 - Strategic Project
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0022169416000536pt_PT
dc.subjectInterception losspt_PT
dc.subjectSurface temperaturept_PT
dc.subjectGash modelpt_PT
dc.subjectSparse forestpt_PT
dc.subjectPenman–Monteithpt_PT
dc.titleRainfall interception modelling: Is the wet bulb approach adequate to estimate mean evaporation rate from wet/saturated canopies in all forest types?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 239 - 2011-2012
oaire.awardTitle2014 - Strategic Project
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FAGR%2FUI0239%2F2011/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FAGR%2FUI0239%2F2014/PT
oaire.citation.endPage615pt_PT
oaire.citation.startPage606pt_PT
oaire.citation.titleJournal of Hydrologypt_PT
oaire.citation.volume534pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLeite Pereira
person.givenNameFernando
person.identifier.ciencia-idB710-F492-0A79
person.identifier.orcid0000-0003-0087-4384
person.identifier.ridD-8053-2011
person.identifier.scopus-author-id25723657600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery83206420-4fd8-4877-b0bd-3e1adb2131fa
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