000889725 001__ 889725
000889725 005__ 20210127115351.0
000889725 037__ $$aFZJ-2021-00346
000889725 041__ $$aEnglish
000889725 1001_ $$0P:(DE-Juel1)180909$$aNey, Patrizia$$b0$$eCorresponding author$$ufzj
000889725 1112_ $$a6th international COSMOS Workshop$$cHeidelberg$$d2020-10-08 - 2020-10-10$$wGermany
000889725 245__ $$aFrom Sensor to Real-Time Forecasts: Setup of a Cosmic-Ray Neutron Sensor Network for Data Assimilation and Optimization of High-Resolution Real-Time Predictions of Soil Moisture
000889725 260__ $$c2020
000889725 3367_ $$033$$2EndNote$$aConference Paper
000889725 3367_ $$2DataCite$$aOther
000889725 3367_ $$2BibTeX$$aINPROCEEDINGS
000889725 3367_ $$2DRIVER$$aconferenceObject
000889725 3367_ $$2ORCID$$aLECTURE_SPEECH
000889725 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1611043706_10028$$xInvited
000889725 520__ $$aThe current long-lasting dry weather conditions in central Europe and projected regional climatechange, with accompanying impacts such as droughts, pose an increasing problem for agriculture.Within the framework of the projects ADAPTER (ADAPT TERrestrial systems) and DG-RR (DigitalGeosystem Rhinland Region), we are aiming to support the agricultural sector with novel soil conditionand weather forecasting products that provide the basis for an increased resilience to short-termchanging weather patterns and extremes as well as to long-term, regional climate change.These products are realized using a prototypical monitoring and real-time forecasting system. In adata synthesis approach, a measurement network of soil moisture sensors is established, in a first stepin collaboration with the forecast users. The measurement network consists of novel Cosmic Ray NeutronSensor (Styx Neutronica), SoilNet sensors (soil moisture, temperature and matrix potential measuredin three depths) and a combi-sensor to measure common meteorological parameters (ATMOS-41, METER Environment) such as air temperature, humidity, pressure, solar irradiance, wind speedand precipitation. In real time, the measured data are transmitted and stored to a cloud server viathe cellular solution NBIoT (Narrow Band Internet of Things). After data post-processing the datais assimilated into the fully coupled, multi-physics TSMP (Terrestrial Systems Modelling Platform,www.terrsysmp.org) numerical model system at Forschungszentrum Jülich. One of the implementationsuses the ParFlow hydrological model (www.parflow.org) in combination with the Common LandModel to predict hourly, high-resolution (near plot-level) information on soil moisture or other soiland meteorological parameters for the next 10 days.Both the measured data and the forecasting products are made gradually available in near real-timeon the digital product platform at www.adapter-projekt.de. This allows the users to access relevantinformation that can be used as basis for decision-making in the management of current farmingactivities (irrigation and fertilization requirements, sowing and harvesting times, trafficability andworkability). Furthermore, the data and findings may also contribute to improve the prediction of soilhydrology or to validate hydrogeophysical measurements.
000889725 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000889725 7001_ $$0P:(DE-Juel1)179108$$aBelleflamme, Alexandre$$b1$$ufzj
000889725 7001_ $$0P:(DE-Juel1)185017$$aIakunin, Maksim$$b2$$ufzj
000889725 7001_ $$0P:(DE-Juel1)178981$$aWagner, Niklas$$b3$$ufzj
000889725 7001_ $$0P:(DE-Juel1)140127$$aSchilling, Bernd$$b4$$ufzj
000889725 7001_ $$0P:(DE-Juel1)129555$$aWeuthen, Ansgar$$b5$$ufzj
000889725 7001_ $$0P:(DE-Juel1)156253$$aGörgen, Klaus$$b6$$ufzj
000889725 7001_ $$0P:(DE-Juel1)129440$$aBogena, Heye$$b7$$ufzj
000889725 8564_ $$uhttps://cosmos.physi.uni-heidelberg.de/
000889725 909CO $$ooai:juser.fz-juelich.de:889725$$pVDB
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000889725 9141_ $$y2020
000889725 920__ $$lyes
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