Description: This paper analyses and compares industry sector transformation strategies as envisioned in recent German, European and global deep decarbonisation scenarios. The first part of the paper identifies and categorises ten key strategies for deep emission reductions in the industry sector. These ten key strategies are energy efficiency, direct electrification, use of climateneutral hydrogen and/or synthetic fuels, use of biomass, use of CCS, use of CCU, increases in material efficiency, circular economy, material substitution and end-use demand reductions. The second part of the paper presents a meta-analysis of selected scenarios, focusing on the question of which scenario relies to what extent on the respective mitigation strategies. The key findings of the meta-analysis are discussed, with an emphasis on identifying those strategies that are commonly pursued in all or the vast majority of the scenarios and those strategies that are only pursued in a limited number of the scenarios. Possible reasons for differences in the choice of strategies are investigated. The paper concludes by deriving key insights from the analysis, including identifying the main uncertainties that are still apparent with regard to the future steps necessary to achieve deep emission reductions in the industry sector and how future research can address these uncertainties.

Description: Numerous potentially toxic plankton species commonly occur in the Black Sea, and phycotoxins have been reported. However, the taxonomy, phycotoxin profiles, and distribution of harmful microalgae in the basin are still understudied. An integrated microscopic (light microscopy) and molecular (18S rRNA gene metabarcoding and qPCR) approach complemented with toxin analysis was applied at 41 stations in the northwestern part of the Black Sea for better taxonomic coverage and toxin profiling in natural populations. The combined dataset included 20 potentially toxic species, some of which (Dinophysis acuminata, Dinophysis acuta, Gonyaulax spinifera, and Karlodinium veneficum) were detected in over 95% of the stations. In parallel, pectenotoxins (PTX-2 as a major toxin) were registered in all samples, and yessotoxins were present at most of the sampling points. PTX-1 and PTX-13, as well as some YTX variants, were recorded for the first time in the basin. A positive correlation was found between the cell abundance of Dinophysis acuta and pectenotoxins, and between Lingulodinium polyedra and Protoceratium reticulatum and yessotoxins. Toxic microalgae and toxin variant abundance and spatial distribution was associated with environmental parameters. Despite the low levels of the identified phycotoxins and their low oral toxicity, chronic toxic exposure could represent an ecosystem and human health hazard.

Description: This task set out to increase communication between the ocean monitoring and modelling communities in the Baltic Sea area. Through these improved communications, the goal was to advance and improve the HELCOM marine environmental assessments. To gain confidence in the numerical model outputs, an effort was undertaken to ensure ocean observing in-situ data, collected by multiple nations in the Baltic Sea, was assimilated into a numerical model. Here, we report on the development of indicators, as requested by our stakeholders, and we discuss if the Baltic Sea numerical modelling efforts are ready to augment regional environmental status reports, and can our results help guide environmental management in the region.

Description: The unprecedented challenge of reaching carbon neutrality before mid-century and a large share of it within 2030 in order to keep under the 1.5 or 2 °C carbon budgets, requires broad and deep changes in production and consumption patterns which, together with a shift to renewables and reinforced efficiency, need to be addressed through energy sufficiency. However, inadequate representations and obstacles to characterising and identifying sufficiency potentials often lead to an underrepresentation of sufficiency in models, scenarios and policies. One way to tackle this issue is to work on the development of sufficiency assumptions at a concrete level where various implications such as social consequences, environmental co-benefits, conditions for implementation can be discussed. This approach has been developed as the backbone of a collaborative project, gathering partners in 20 European countries at present, aiming for the integration of harmonised national scenarios into an ambitious net-zero European vision. The approach combines a qualitative discussion on the role of energy sufficiency in a "systemic" merit order for global sustainability, and a quantitative discussion of the level of sufficiency to be set to contribute to meeting 100 % renewables supply and net-zero emissions goals by 2050 at the latest. The latter is based on the use of a dashboard, which serves as a common descriptive framework for all national scenario trajectories and their comparison, with a view to harmonising and strengthening them through an iterative process. A set of key sufficiency-related indicators have been selected to be included in the dashboard, while various interrelated infrastructural, economic, environmental, social or legal factors or drivers have been identified and mapped. This paves the way for strengthening assumptions through the elaboration of "sufficiency corridors" defining a convergent, acceptable and sustainable level of energy services in Europe. The process will eventually inform the potential for sufficiency policies through a better identification of leverages, impacts and co-benefits.

Description: Technological innovations in energy-intensive industries (EIIs) have traditionally emerged within the boundaries of a specific sector. Now that these industries are facing the challenges of deep decarbonisation and a significant reduction in greenhouse gas (GHG) emissions is expected to be achieved across sectors, cross-industry collaboration is becoming increasingly relevant for low-carbon innovation. Accessing knowledge and other resources from other industrial sectors as well as co-developing innovative concepts around industrial symbiosis can be mutually beneficial in the search for fossil-free feedstocks and emissions reductions. In order to harness the potential of this type of innovation, it is important to understand not only the technical innovations themselves, but in particular the non-technical influencing factors that can drive the successful implementation of cross-industry collaborative innovation projects. The scientific state of the art does not provide much insight into this particular area of research. Therefore, this paper builds on three separate strands of innovation theory (cross-industry innovation, low-carbon innovation and innovation in EIIs) and takes an explorative case-study approach to identify key influencing factors for cross-industry collaboration for low-carbon innovation in EIIs. For this purpose, a broad empirical database built within the European joint research project REINVENT is analysed. The results from this project provide deep insights into the dynamics of low-carbon innovation projects of selected EIIs. Furthermore, the paper draws on insights from the research project SCI4Climate.NRW. This project serves as the scientific competence centre for IN4Climate.NRW, a unique initiative formed by politicians, industry and science to promote, among other activities, cross-industry collaboration for the implementation of a climate-neutral industry in the German federal state of North Rhine-Westphalia (NRW). Based on the results of the case study analysis, five key influencing factors are identified that drive the implementation of cross-industry collaboration for low-carbon innovation in EIIs: Cross-industry innovation projects benefit from institutionalised cross-industry exchange and professional project management and coordination. Identifying opportunities for regional integration as well as the mitigation of financial risk can also foster collaboration. Lastly, clear political framework conditions across industrial sectors are a key driver.

Description: Identification of local and regional impacts of oxygen, heat and pH related “Extreme Marine Events”: Ocean model data products are overlaid with existing marine biological datasets to identify sensitive areas and organism vulnerabilities.

Description: Report on ASV-Network structure and roadmap

Description: This study sets out to assess the economic value of ocean observations in qualitative terms. The study aims to examine the perspective of selected co-developers and end users on the impact of the EuroSea Key Exploitable Results on them. While efforts were made to collect quantitative data on the economic impact of the results on the users, this report uses a focussed case study approach to qualitatively assess the value of the demonstration products and services for the co-developers and users. The report focusses on the main demonstration products and services with potential for commercialisation in EuroSea that were identified in the exploitation strategy.

Description: This document demonstrates the capability of seasonal forecasting systems to predict observable and user-relevant ocean climate indicators.

Description: Report on assessment of the EuroSea observational (and thematic) networks coordination This Deliverable serves to present the initial situation, in terms of coordination, of the observation and thematic networks in EuroSea represented in work package 3 (WP3). The networks include the networks represented in EuroGOOS and additional ones. The study is based on a comprehensive questionnaire that was answered by all EuroSea WP3 tasks. In addition, information from the Global Observing Networks of GOOS was considered. An important basis for the questionnaire was the list of "Network Attributes, Commitment and Benefits -What it means to be an OPA network" which was compiled by the Observation coordination group (OCG) of GOOS. This deliverable is linked to the deliverable D3.10 that will repeat the assessment at the end of the EuroSea project to assess the evolution of the coordination over the period of the EuroSea project. The present study shows that the observation and thematic networks in EuroSea all have highly developed coordination mechanism elements, except for task 3.7 - ASV, which represents a new network to be established. Given the spectrum of coordination themes and envisioned targets significant heterogeneity across the networks is also evident. The coordination of ship-based observations is not fully represented in EuroSea (and thus in EuroGOOS) and ideally this task should have been divided into research vessels and commercial vessels (container ships, ferries) but as it stands currently is dominated by one technology only (Ferrybox). This reflects the situation in EuroGOOS. For the thematic networks it is interesting to note that the observatories that are operated in task 3.8 (Augmented observatories) are not represented in the observational networks (task 3.1-3.7). The assessment presented in this deliverable has its focus on the status quo. It does not question or analyze the necessity for individuals, institutions and countries to be represented in a network - “Why should individuals, institutions or countries feel a need or a motivation to engage with the networks?”. It seems logical that networks are only founded, maintained and developed when individuals see an advantage in their involvement in a network – for themselves, their institution or a country. The "characteristics" of the apparent advantage of contributing to a network is likely of central importance. For example, if the advantage is only that there are no disadvantages (e.g. fines), a further development and improvement of the network is questionable. This important investigation of the motivation of individuals will be part of final assessment prepared in D3.10.