001     878231
005     20220930130247.0
020 _ _ |a 978-3-95806-492-8
024 7 _ |2 Handle
|a 2128/25458
024 7 _ |2 URN
|a urn:nbn:de:0001-2020081231
024 7 _ |2 ISSN
|a 1866-1793
037 _ _ |a FZJ-2020-02700
041 _ _ |a English
100 1 _ |0 P:(DE-Juel1)165635
|a Li, Dazhi
|b 0
|e Corresponding author
|u fzj
245 _ _ |a Towards a new real-time irrigation scheduling method: observation, modelling and their integration by data assimilation
|f - 2019-12-16
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2020
300 _ _ |a viii, 94 S.
336 7 _ |2 DataCite
|a Output Types/Dissertation
336 7 _ |0 PUB:(DE-HGF)3
|2 PUB:(DE-HGF)
|a Book
|m book
336 7 _ |2 ORCID
|a DISSERTATION
336 7 _ |2 BibTeX
|a PHDTHESIS
336 7 _ |0 2
|2 EndNote
|a Thesis
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
|b phd
|m phd
|s 1596796924_3884
336 7 _ |2 DRIVER
|a doctoralThesis
490 0 _ |a Schriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment
|v 505
502 _ _ |a RWTH Aachen, Diss., 2019
|b Dissertation
|c RWTH Aachen
|d 2019
520 _ _ |a Irrigated 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.
536 _ _ |0 G:(DE-HGF)POF3-255
|a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|c POF3-255
|f POF III
|x 0
856 4 _ |u https://juser.fz-juelich.de/record/878231/files/Energie_Umwelt_505.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/878231/files/Energie_Umwelt_505.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:878231
|p openaire
|p open_access
|p urn
|p driver
|p VDB:Earth_Environment
|p VDB
|p dnbdelivery
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)165635
|a Forschungszentrum Jülich
|b 0
|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-255
|1 G:(DE-HGF)POF3-250
|2 G:(DE-HGF)POF3-200
|a DE-HGF
|l Terrestrische Umwelt
|v Terrestrial Systems: From Observation to Prediction
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
914 1 _ |y 2020
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
|a Creative Commons Attribution CC BY 4.0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 _ _ |a phd
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a book
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 1 _ |a FullTexts


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Marc 21