000188460 001__ 188460 000188460 005__ 20210129215212.0 000188460 0247_ $$2doi$$a10.2136/vzj2012.0163 000188460 0247_ $$2WOS$$aWOS:000328628400007 000188460 037__ $$aFZJ-2015-01835 000188460 082__ $$a550 000188460 1001_ $$0P:(DE-HGF)0$$aOr, Dani$$b0$$eCorresponding Author 000188460 245__ $$aAdvances in Soil Evaporation PhysicsâA Review 000188460 260__ $$aMadison, Wis.$$bSSSA$$c2013 000188460 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1426151376_7620 000188460 3367_ $$2DataCite$$aOutput Types/Journal article 000188460 3367_ $$00$$2EndNote$$aJournal Article 000188460 3367_ $$2BibTeX$$aARTICLE 000188460 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000188460 3367_ $$2DRIVER$$aarticle 000188460 520__ $$aSoil capillary and wettability properties affect evaporation dynamics and give rise to a characteristic length marking the end of Stage I and provides estimates of evaporative losses from soil data. Nonlinearities between surface water content and evaporative flux were quantified considering diffusion from discrete pores across air boundary layer.Globally, evaporation consumes about 25% of solar energy input and is a key hydrologic driver with 60% of terrestrial precipitation returning to the atmosphere via evapotranspiration. Quantifying evaporation is important for assessing changes in hydrologic reservoirs and surface energy balance and for many industrial and engineering applications. Evaporation dynamics from porous media reflect interactions between internal liquid and vapor transport, energy input for phase change, and mass transfer across air boundary layer. We reviewed recent advances on resolving interactions between soil intrinsic properties and evaporation dynamics with emphasis on the roles of capillarity and wettability affecting liquid phase continuity and capillary driving forces that sustain Stage I evaporation. We show that soil water characteristics contain information for predicting the drying front depth and mass loss at the end of Stage I and thus derive predictions for regional-scale evaporative water losses from soil textural maps. We discuss the formation of secondary drying front at the onset of Stage II evaporation and subsequent diffusion-controlled dynamics. An important aspect for remote sensing and modeling involves nonlinear interactions between wet evaporating surfaces and air boundary layer above (evaporation rate is not proportional to surface water content). Using pore scale models of evaporating surfaces and vapor transport across air boundary layer, we examined the necessary conditions for maintenance of nearly constant evaporation while the surface gradually dries and the drying front recedes into the soil. These new insights could be used to improve boundary conditions for models that are based on surface water content to quantify evaporation rates. 000188460 536__ $$0G:(DE-HGF)POF2-246$$a246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)$$cPOF2-246$$fPOF II$$x0 000188460 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x1 000188460 588__ $$aDataset connected to CrossRef, juser.fz-juelich.de 000188460 7001_ $$0P:(DE-HGF)0$$aLehmann, Peter$$b1 000188460 7001_ $$0P:(DE-Juel1)151318$$aShahraeeni, Ebrahim$$b2$$ufzj 000188460 7001_ $$0P:(DE-HGF)0$$aShokri, Nima$$b3 000188460 773__ $$0PERI:(DE-600)2088189-7$$a10.2136/vzj2012.0163$$gVol. 12, no. 4, p. 0 -$$n4$$p1 - 16$$tVadose zone journal$$v12$$x1539-1663$$y2013 000188460 8564_ $$uhttps://juser.fz-juelich.de/record/188460/files/FZJ-2015-01835.pdf$$yRestricted 000188460 909CO $$ooai:juser.fz-juelich.de:188460$$pVDB:Earth_Environment$$pVDB 000188460 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151318$$aForschungszentrum Jülich GmbH$$b2$$kFZJ 000188460 9132_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0 000188460 9131_ $$0G:(DE-HGF)POF2-246$$1G:(DE-HGF)POF2-240$$2G:(DE-HGF)POF2-200$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vModelling and Monitoring Terrestrial Systems: Methods and Technologies$$x0 000188460 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x1 000188460 9141_ $$y2014 000188460 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR 000188460 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000188460 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000188460 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List 000188460 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000188460 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000188460 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences 000188460 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5 000188460 920__ $$lyes 000188460 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0 000188460 980__ $$ajournal 000188460 980__ $$aVDB 000188460 980__ $$aI:(DE-Juel1)IBG-3-20101118 000188460 980__ $$aUNRESTRICTED