000887702 001__ 887702
000887702 005__ 20210130010622.0
000887702 0247_ $$2doi$$a10.1002/hyp.13767
000887702 0247_ $$2ISSN$$a0885-6087
000887702 0247_ $$2ISSN$$a1099-1085
000887702 0247_ $$2Handle$$a2128/26118
000887702 0247_ $$2altmetric$$aaltmetric:79325095
000887702 0247_ $$2WOS$$aWOS:000526174200001
000887702 037__ $$aFZJ-2020-04359
000887702 082__ $$a550
000887702 1001_ $$00000-0002-9770-4738$$aBatelis, Stamatis‐Christos$$b0$$eCorresponding author
000887702 245__ $$aTowards the representation of groundwater in the Joint UK Land Environment Simulator
000887702 260__ $$aNew York, NY$$bWiley$$c2020
000887702 3367_ $$2DRIVER$$aarticle
000887702 3367_ $$2DataCite$$aOutput Types/Journal article
000887702 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1605098773_27800
000887702 3367_ $$2BibTeX$$aARTICLE
000887702 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000887702 3367_ $$00$$2EndNote$$aJournal Article
000887702 520__ $$aGroundwater is an important component of the hydrological cycle with significant interactions with soil hydrological processes. Recent studies have demonstrated that incorporating groundwater hydrology in land surface models (LSMs) considerably improves the prediction of the partitioning of water components (e.g., runoff and evapotranspiration) at the land surface. However, the Joint UK Land Environment Simulator (JULES), an LSM developed in the United Kingdom, does not yet have an explicit representation of groundwater. We propose an implementation of a simplified groundwater flow boundary parameterization (JULES‐GFB), which replaces the original free drainage assumption in the default model (JULES‐FD). We tested the two approaches under a controlled environment for various soil types using two synthetic experiments: (1) single‐column and (2) tilted‐V catchment, using a three‐dimensional (3‐D) hydrological model (ParFlow) as a benchmark for JULES’ performance. In addition, we applied our new JULES‐GFB model to a regional domain in the UK, where groundwater is the key element for runoff generation. In the single‐column infiltration experiment, JULES‐GFB showed improved soil moisture dynamics in comparison with JULES‐FD, for almost all soil types (except coarse soils) under a variety of initial water table depths. In the tilted‐V catchment experiment, JULES‐GFB successfully represented the dynamics and the magnitude of saturated and unsaturated storage against the benchmark. The lateral water flow produced by JULES‐GFB was about 50% of what was produced by the benchmark, while JULES‐FD completely ignores this process. In the regional domain application, the Kling‐Gupta efficiency (KGE) for the total runoff simulation showed an average improvement from 0.25 for JULES‐FD to 0.75 for JULES‐GFB. The mean bias of actual evapotranspiration relative to the Global Land Evaporation Amsterdam Model (GLEAM) product was improved from −0.22 to −0.01 mm day−1. Our new JULES‐GFB implementation provides an opportunity to better understand the interactions between the subsurface and land surface processes that are dominated by groundwater hydrology.
000887702 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000887702 588__ $$aDataset connected to CrossRef
000887702 7001_ $$0P:(DE-HGF)0$$aRahman, Mostaquimur$$b1
000887702 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b2
000887702 7001_ $$0P:(DE-HGF)0$$aWoods, Ross$$b3
000887702 7001_ $$0P:(DE-HGF)0$$aRosolem, Rafael$$b4
000887702 773__ $$0PERI:(DE-600)1479953-4$$a10.1002/hyp.13767$$gVol. 34, no. 13, p. 2843 - 2863$$n13$$p2843 - 2863$$tHydrological processes$$v34$$x1099-1085$$y2020
000887702 8564_ $$uhttps://juser.fz-juelich.de/record/887702/files/hyp.13767.pdf$$yOpenAccess
000887702 8564_ $$uhttps://juser.fz-juelich.de/record/887702/files/hyp.13767.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000887702 909CO $$ooai:juser.fz-juelich.de:887702$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000887702 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich$$b2$$kFZJ
000887702 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$$vTerrestrial Systems: From Observation to Prediction$$x0
000887702 9141_ $$y2020
000887702 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-29
000887702 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000887702 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)3001$$2StatID$$aDEAL Wiley$$d2020-08-29$$wger
000887702 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000887702 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bHYDROL PROCESS : 2018$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-08-29
000887702 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-08-29$$wger
000887702 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-29
000887702 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000887702 980__ $$ajournal
000887702 980__ $$aVDB
000887702 980__ $$aUNRESTRICTED
000887702 980__ $$aI:(DE-Juel1)IBG-3-20101118
000887702 9801_ $$aFullTexts