1.2.1 – Development of a focused observation and validation strategy for floods in poorly observed systems

1.2.2 – Development of an integration strategy of existing monitoring systems aiming at high-resolution, quasi-dynamic precipitation mapping and nowcasting at flash/pluvial flood scales

1.2.3 – Identification, collection and preprocessing of available data sources and analysis of hazards, exposure, vulnerability and damage under the effects of the global climate change

WATER_VS1_DV-1.2.4_Enhanced models of the flood response for small, ungauged basins, under climate change forcing

WATER_VS1_DV-1.2.5_Improved models of water-induced debris-flow to be used both in real-time and for prediction purposes.

WATER_VS1_DV-1.2.6._Comprehensive modelling of complex river systems and floodable areas, including sediment transport, vegetation dynamics, levee breaches, river training work, hydraulic infrastructures.

WATER_VS1_DV-2_7-1._Identification of direct impact metrics and models for all exposed assets indicated in the EU Flood Directive.

RETURN-WATER_VS1_DV_1.2.8_Improved models for indirect flood impacts, cascade effects and interconnections among critical infrastructures, such as energy or transport networks.

1.3.1 – Integrated monitoring strategies (ground and remote) to deliver a comprehensive overview of the status of hydrological and agricultural drought in real time

1.3.2 – Use of climatic scenarios for (sub)seasonal forecast of meteorological forcing for drought management 

WATER_VS1_-DV-1_3_4.docx_Hazard modelling of droughts by using historical data, seasonal forecasts and future climate scenarios.

WATER_VS1_-DV-1_3_4.docx_Hazard modelling of droughts by using historical data, seasonal forecasts and future climate scenarios.

WATER_VS1_DV_1_3_6_Cross-sectorial evaluations of drought impacts and strategies for mitigating water use conflicts and improving governance policies.

1.4.1 – Identification, and preprocessing of data from public private databases of offshore and coastal assets

1.4.2 – Integrate hydro-morphological stressors from nationwide monitoring systems and integration with remote and inland sensors for both real-time warning and resilience measures design

WATER_VS1_DV-1_4_3_Implementation of a multi-scale modelling suite, for a proper account of the forcing evolution from the open sea to the coast, for both short-and long-term predictions (event forecast, hazard evaluation).

WATER_VS1_DV-1_4_4_Seamless modelling of water and sediment dynamics from nearshore circulation to inland flows and flows in transitional systems, with specific focus on swash zone dynamics and related interactions.

WATER_VS1_DV-1_4_5_Model-guided assessment of impacts on offshore, coastal, estuarine assets.

WATER_VS1_DV-1_4_6_Adaptive modelling of scenarios through increasing inclusion of protection and mitigation.

RETURN-WATER-WP-1.5-DV-1.5.1_Definition of a high-level reference architecture able to conceptually integrate models and input/output data, adopting standard data models.

RETURN-WATER-WP-1.5-DV-1.5.3 – Design and prototyping of components for the visualization and exploration of hazards’ forecasts, risks and their impacts, by taking into account data.

RETURN-WATER-WP-1.5-DV-1.5.2 – Design and prototyping of data collection, pre-processing and integration tools to support the execution of the models and to manage the output.

2.2.2 – Detection and classification of potentially threatening ground instabilities

2.2.5 – Rationale for selecting and scale-dependent weighing of predisposing factors

2.3.4 – Deep Learning (DL) and Machine Learning (ML) for mass wasting characterization in subaerial and submarines areas

2.4.3 – Hilly and mountain areas: rationale for trigger-based multiple geohazards severity mapping and zoning

2.4.5 – Large Plains: Rationale for trigger-based multiple geohazard severity mapping and zoning

2.4.8 – Scripting for uncertainty evaluation

2.4.9 – From deterministic to stochastic prediction in a weighted uncertainty range

4.2.1 – Report on sources and scale of source of environmental degradation

4.2.2 – Design of dataset

4.3.1 – Improved methodologies for contaminant monitoring

4.3.3 – Improved methodologies for contaminant monitoring in marine coastal area

4.3.5 – Space-time evolution of the acidification, deoxygenation and eutrophication in specific areas of the Mediterranean Sea

4.4.3 – Radar constrained integrated simulation for oil spill and contaminant dispersion

7.2.1 – Report on the-state-of-the-art of MCA applied to natural risk management

7.3.3 – Methods and Guidelines for MR-CH Monitoring

7.3.5 – Methods and guidelines for multi-scale MR assessment of CH

7.3.7 – Hazard-Risk-Resilience Nexus in a cultural heritage-centered and socio-economic context

7.5.1 – Report on variables, processes and biases

7.5.3 – Critical overview of models of trust in DRR and CCA: Community and policy maker awareness

Deliverable 7.5.4 – Designing Context-Sensitive Nudges for Natural Hazard Risk Mitigation: A Participatory Design Thinking Framework.

7.6.1 – Identifying Best Practices in Risk Communication: A State-of-the-Art-Review of International Literature

7.6.2A – Identifying Best Practices in Risk Communication: Guidelines benchmarking

7.6.2B – Communication plans for multi-hazard risks: An analysis of Civil Protection plans

7.6.6 – Innovative Methodologies Based on Immersive Digital Environments for Vicarial Experiences in Protected Environments in Natural Risk education: A Scoping Review of International Literature

8.2.1 – Inventory and assessment of impact-oriented hazard indicators

8.3.1 – An integrated framework for data assimilation to generate multi-scale weather and climate predictions

8.4.1 – Proof of concept for the description of cloud dynamics in convection permitting models

8.5.1 – Identification the contexts and methods for uncertainty assessment for hazard indicators