The multi-scale hydrological substance emission model MoRE (Modelling of Regionalized Emissions) was further developed and optimized by GRoW researchers and will now be used by the associated MuDaK-WRM project partner Universidade Federal do Paraná (UFPR) in the Paranapanema River in Southern Brazil.
As part of the GRoW-project TRUST, researchers are training an Artificial Intelligence (AI), with the help of which aerial photos can be used to make statements about soil properties.
We are happy to announce the GRoW final conference, which will take place in Berlin in June 2020:
Save the Date: 23.- 24. June 2020
Location: ESMT Berlin, Schlossplatz 1, 10178 Berlin, Germany
GRoW raises awareness on the potential of the water footprint concept to inform decision-making in the public and private sectors towards improved water management and achieving the SDGs.
Dr. Konstantin Scheihing, project engineer of OOWV (Oldenburg-East-Frisian Water Board), will hold a presentation on behalf of the GRoW project go-Cam during the 3rd edition of IFAT Africa - Trade Fair for Water, Sewage, Refuse and Recycling.
The Journal of Hydrology features a publication by members of the project team InoCottonGROW. The article "Spatially distributed model calibration of a highly managed hydrological system using remote-sensing-derived ET data" deals with the challenge of calibrating a spatially distributed hydrological model that meets the local specifics of a heavily used agricultural region.