Based on the outlined objectives of the projects and related demands towards a better integrated Earth Science in a digitized research environment, five work packages have been defined and are detailed below.
WP1: SMART Monitoring Designs deals with advancing monitoring strategies by using methodologies of WP2 to e.g. detect observational gaps and refine sensor layouts to allow better and statistically robust extrapolation. Possibilities to include opportunistic sensors, i.e. devices operated for other purposes but providing useful observations will be investigated. This WP will provide (near-) real-time data that need to be quality control/assured (QC/QA methods from WP2) and processed for e.g. rapid data exploration aiming at event detection through visual and computational methodologies (WP2) for an adaptive monitoring. WP1 will define the demands of the natural science community towards the data science tasks of WP2.
WP2: Data Exploration Framework will provide qualified data coming from different sources. It tailors available computational (e.g. machine learning) and visual methods to explore and analyse multi-parameter data generated through monitoring efforts defined in WP1 by establishing generic workflows and methods and test their operationalized usability. With computational and visual means this WP aims at e.g. finding relationships in data and develop new proxies for difficult to measure parameters and derive parametrizations for extrapolating variability in space and time. WP2 will provide the discussion forum between natural scientist and data scientist, with WP3 establishing and supporting sustainable collaboration.
WP3: Sustainable Collaboration is the backbone for governance decisions (infrastructure use and data policies) during the project phase and beyond. It develops the links to external partners and between E&E centres through the Thematic Seed Groups. It will embed the Digital Earth idea in the next PoF-IV phase aiming at long-term and growing continuation.
WP4: Success Evaluation will critically evaluate the successful development/adoption and implementation of the SMART Monitoring and Data Exploration workflows of WP1 and WP2 within the scientific groups and centres. WP4 will define evaluation criteria at the beginning to measure the impact of WP1 and WP2 results on the natural science studies that are part of the two Show Cases. Evaluation results will be used to advance future collaboration and trigger further developments that will be promoted through WP3.
WP5: Project Management will administratively manage the project; establish a Scientific Advisory Board, plan meetings, symposia and a summer school.