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Risultati finali
Appropriate indicators to the climate risks identified through the climate impact chainsin Task 1.1 are identified. Existing indicators from literature and previous projects (e.g., ESPON, COACCH) are identified for each demonstrator-specific climate risk. In case existing climate risk indicators are insufficient in assessing local climate risks, they will be complemented by either adjusting existing indicators to local needs or by developing newindicators if necessary.
Initial non-climate data manipulation and visualisation tools description (si apre in una nuova finestra)Deliverable 4.1 represents the interim report of the full activity earmarked in task 4.1. This report will present the interim progress about the provision of support to the local services providers through a set of services and software tools for manipulating locally-sourced socio-economic, demographic and EO data (previously identified in WP1- WP2) relevant to locally contextualising climate data.This interim report will explain progress on the following tasks: Populating the various local databases into a GeoNetwork catalogue (following the guidelines provided by WP2), as well as the EO data and Copernicus services available and being of interest for building indicators to inform about climate risk. This task will involve all the local service providers participating in the demonstrators, under the coordination and support of TerraNIS, and HCU. Making available a data ingestion toolbox to get access to the data registered in the metadata catalogues as provided by WP2. These tools will allow to ingest the data and images necessary for the relevant areas of interest into a GeoServer dedicated to the local area, with a common geographic and time reference, in order to allow easy further manipulation of these different data (optimising data access and data extraction on the time and spatial axis, resampling data). The data normalisation toolbox, which allows to express the different data (local databases, EO images and land use maps) into common geographical units (hexagonal grids or local administrative units) allowing further merging and alignment of these data with different spatio-temporal resolutions.
Demonstrator specific climate impact chain analyses (si apre in una nuova finestra)Through participatory contextualisation workshops in each demonstrator, demonstrator-specific climate impact chains will be formulated to characterise local climate risks.
Gap analyses for each demonstrator (si apre in una nuova finestra)gap-analysis map out the current status quo in regional climate risk and impact analyses, and compares it to the standard desired by stakeholders and decision makers to be able to take appropriate adaptation measures. The gap-analysis will address the following: availability, accessibility and usability of relevant climate and non-climate data and data services. It will also cover customization and adaptability of such data and data services as well as the need for tools for data manipulation, combination and interpretation.
Climate valorisation framework (si apre in una nuova finestra)Co-constructed legitimised conception of climate value around socio-economic, demographic and Earth-observation datasets (valorisation framework) to orient data-management practices to grant climate value to existing data.The framework will help us to connect climate science with societys risk perceptions; thus, facilitating the understanding of the many-faceted phenomena of climate change and its future implications
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