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001049552 0247_ $$2doi$$a10.5194/gmd-18-819-2025
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001049552 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-05356
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001049552 1001_ $$0P:(DE-HGF)0$$aFrancke, Till$$b0$$eCorresponding author
001049552 245__ $$aVirtual Joint Field Campaign: a framework of synthetic landscapes to assess multiscale measurement methods of water storage
001049552 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2025
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001049552 520__ $$aVarious methods are available to measure water storage across different landscape compartments, e.g. cosmic-ray neutron sensing, remote sensing, or hydrogravimetry. All these methods provide integral estimates that are representative of their corresponding measurement volume.However, we typically do not know the true value of water storage in these measurement volumes, which makes it difficult to assess the accuracy of such methods.In this study we suggest a synthetic virtual landscape that allows for an exact definition of all variables of interest and, consequently, constitutes the so-called “virtual truth” free of knowledge gaps. Such a landscape can be explored in various “virtual field campaigns” using “virtual sensors” that mimic the response and characteristics of actual devices. We use dedicated physically based models to simulate the signal a sensor would receive. These model outputs, termed “virtual observations”, can be explored and also allow for the reconstruction of water storage, which can then readily be compared to the virtual truth. Insights from this comparison could help to better understand real measurements and their uncertainties and to challenge accepted knowledge about signal processing and data interpretation.The Virtual Joint Field Campaign is an open collaborative framework for constructing such landscapes. It comprises data and methods to create and combine different compartments of the landscape (e.g. atmosphere, soil, vegetation). The present study demonstrates virtual observations of water storage with cosmic-ray neutron sensing, hydrogravimetry, and remote sensing in three exemplary landscapes. It enables unprecedented opportunities for the systematic assessment of the sensor's strengths and weaknesses and even their combined use.
001049552 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001049552 536__ $$0G:(GEPRIS)413955144$$aDFG project G:(GEPRIS)413955144 - Verbesserte Quantifizierung von Bodenfeuchte und Biomasse durch Kombination von bodengestützter Neutronen- und LiDAR-Sensorik und Modellierung (413955144)$$c413955144$$x1
001049552 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001049552 7001_ $$0P:(DE-Juel1)168418$$aBrogi, Cosimo$$b1
001049552 7001_ $$00000-0001-6370-1240$$aDuarte Rocha, Alby$$b2
001049552 7001_ $$00000-0001-6689-5714$$aFörster, Michael$$b3
001049552 7001_ $$00000-0001-9354-1532$$aHeistermann, Maik$$b4
001049552 7001_ $$00000-0001-6098-3094$$aKöhli, Markus$$b5
001049552 7001_ $$0P:(DE-HGF)0$$aRasche, Daniel$$b6
001049552 7001_ $$00000-0001-7301-2094$$aReich, Marvin$$b7
001049552 7001_ $$00000-0002-9759-6351$$aSchattan, Paul$$b8
001049552 7001_ $$00000-0003-3621-680X$$aScheiffele, Lena$$b9
001049552 7001_ $$00000-0002-0220-0677$$aSchrön, Martin$$b10
001049552 773__ $$0PERI:(DE-600)2456725-5$$a10.5194/gmd-18-819-2025$$gVol. 18, no. 3, p. 819 - 842$$n3$$p819 - 842$$tGeoscientific model development$$v18$$x1991-959X$$y2025
001049552 8564_ $$uhttps://juser.fz-juelich.de/record/1049552/files/gmd-18-819-2025.pdf$$yOpenAccess
001049552 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany$$b0
001049552 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)168418$$aForschungszentrum Jülich$$b1$$kFZJ
001049552 9101_ $$0I:(DE-HGF)0$$60000-0001-6370-1240$$a Geoinformation in Environmental Planning Lab, Technische Universität Berlin, 10623 Berlin, Germany$$b2
001049552 9101_ $$0I:(DE-HGF)0$$60000-0001-6689-5714$$a Geoinformation in Environmental Planning Lab, Technische Universität Berlin, 10623 Berlin, Germany$$b3
001049552 9101_ $$0I:(DE-HGF)0$$60000-0001-9354-1532$$a Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany$$b4
001049552 9101_ $$0I:(DE-HGF)0$$60000-0001-6098-3094$$a Physikalisches Institut, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany$$b5
001049552 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a GFZ – German Research Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany$$b6
001049552 9101_ $$0I:(DE-HGF)0$$60000-0001-7301-2094$$a GFZ – German Research Centre for Geosciences, Section Hydrology, Telegrafenberg, 14473 Potsdam, Germany$$b7
001049552 9101_ $$0I:(DE-HGF)0$$60000-0002-9759-6351$$a Institute of Hydrology and Water Management (HyWa), University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, 1190, Vienna, Austria$$b8
001049552 9101_ $$0I:(DE-HGF)0$$60000-0003-3621-680X$$a Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany$$b9
001049552 9101_ $$0I:(DE-HGF)0$$60000-0002-0220-0677$$a UFZ – Helmholtz Centre for Environmental Research GmbH, Department of Monitoring and Exploration Technologies, Permoserstr. 15, 04318 Leipzig, Germany$$b10
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