During the reporting period from March 1st, 2021 to February 28th, 2023, the project has been working on developing novel forecasting methodologies and training 15 Early-Stage Researchers (ESRs) to become a new generation of interdisciplinary professionals to develop inventive water quality forecasting tools. The inventWater project has been implementing forecasting methodologies, advancing water quality management, and quantifying the effects of adaptation actions on climate change impacts to inform policymakers and enable effective management of water resources.
The inventWater training program has been focused on transferable skills and modeling, data science, and computational techniques to develop new models and data products for water quality forecasting. The program has trained the 15 ESRs to make these tools accessible for science, authorities, and companies, and to bridge sectors through cross-sectoral model couplings. The research program has been executing all scientific tasks related to each work package in the Grant Agreement during the reporting period, and the ESRs have been trained across all work packages to gain a wide perspective on forecasting techniques and foster interactions between them.
The inventWater Early Stage Researchers (ESRs) are continuously progressing with their respective research programmes, in consultation with their supervisory teams which are drawn from at least two of the inventWater Beneficiaries. The ESRs started at dates between November 2021 and March 2022, and to the end date of the reporting period, there are two scientific articles with inventWater in the acknowledgement and one article under review from ESR6.
All ESR participated in 3 training events accomplished during the reporting period: Welcome Retreat from 17th-21st January 2022, Big data for water quality management from 13-17th June 2022 and Modelling water quality under global change from 10-14th October 2022. Additionally, the ESR has participated in 3 e-learning activities in the format of webinars: Introduction to Machine Learning, Climate Services for Water Quality Indicators and Ecological Forecast Challenge By EFI-NEON, these webinars have been led by key partners in the industry.