000878231 001__ 878231
000878231 005__ 20220930130247.0
000878231 0247_ $$2Handle$$a2128/25458
000878231 0247_ $$2URN$$aurn:nbn:de:0001-2020081231
000878231 0247_ $$2ISSN$$a1866-1793
000878231 020__ $$a978-3-95806-492-8
000878231 037__ $$aFZJ-2020-02700
000878231 041__ $$aEnglish
000878231 1001_ $$0P:(DE-Juel1)165635$$aLi, Dazhi$$b0$$eCorresponding author$$ufzj
000878231 245__ $$aTowards a new real-time irrigation scheduling method: observation, modelling and their integration by data assimilation$$f- 2019-12-16
000878231 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2020
000878231 300__ $$aviii, 94 S.
000878231 3367_ $$2DataCite$$aOutput Types/Dissertation
000878231 3367_ $$0PUB:(DE-HGF)3$$2PUB:(DE-HGF)$$aBook$$mbook
000878231 3367_ $$2ORCID$$aDISSERTATION
000878231 3367_ $$2BibTeX$$aPHDTHESIS
000878231 3367_ $$02$$2EndNote$$aThesis
000878231 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1596796924_3884
000878231 3367_ $$2DRIVER$$adoctoralThesis
000878231 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v505
000878231 502__ $$aRWTH Aachen, Diss., 2019$$bDissertation$$cRWTH Aachen$$d2019
000878231 520__ $$aIrrigated agriculture is very important in securing food production for an increasing population over the next decades. Given the scarcity of water resources, optimal irrigation management is needed to reduce water usage while maintaining maximal crop productivity. The irrigation scheduling methods are normally based on soil water content (SWC) measurements, e.g. from soil moisture sensors. Meanwhile land surface models such as the Community Land Model (CLM) have been commonly used to simulate SWC, crop status and hydrological processes. Data assimilation (DA) can combine different measurement data with a numerical model to get optimal estimation of model states. The integration of SWC measurements and Community Land Model using a sequential data assimilation method is promising to improve the real-time prediction of SWC and the calculation of irrigation demand. One of the aim of this PhD work is to introduce a new CLM-DA based real-time irrigation scheduling method and test it in a real world case, to explore the possibility of using other sources of SWC measurements (e.g. Cosmic-ray Neutron Sensing) for irrigation ,scheduling and to conduct the uncertainty analysis of irrigation modelling with CLM.
000878231 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000878231 8564_ $$uhttps://juser.fz-juelich.de/record/878231/files/Energie_Umwelt_505.pdf$$yOpenAccess
000878231 8564_ $$uhttps://juser.fz-juelich.de/record/878231/files/Energie_Umwelt_505.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000878231 909CO $$ooai:juser.fz-juelich.de:878231$$pVDB$$pVDB:Earth_Environment$$pdriver$$purn$$popen_access$$popenaire$$pdnbdelivery
000878231 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000878231 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000878231 9141_ $$y2020
000878231 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165635$$aForschungszentrum Jülich$$b0$$kFZJ
000878231 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
000878231 920__ $$lyes
000878231 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000878231 980__ $$aphd
000878231 980__ $$aVDB
000878231 980__ $$aUNRESTRICTED
000878231 980__ $$abook
000878231 980__ $$aI:(DE-Juel1)IBG-3-20101118
000878231 9801_ $$aFullTexts