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| Home > Publications database > From 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 |
| Home > Publications database > From 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 |
| Conference Presentation (Invited) | FZJ-2021-00346 |
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2020
Abstract: The 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.
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