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Climate Change Resilience

Title: Africa Regional Centres of Excellence - ArcX: Climate Change Resilience.

Main Objective: Strengthen the climate change and disaster resilience in Sub-Saharan Africa, by improving scientific and technological capacities of the Regional Centers of Excellence, their co-ordination and capacity to contribute to policy and decision making.

Starting Year: 2026
Implementation Duration: 48 Months

Areas of Impact: Early Warning and Disaster Risk Reduction; Digital Transformation and AI Innovation; Climate Information Systems Strengthening; Research and Knowledge Generation; Capacity Development and Partnerships

Target Groups: African Regional Climate Centres (RCCs); National Meteorological and Hydrological Services (NMHSs); Regional Specialized Meteorological Centres (RSMCs); African Union Commission (AUC); Disaster Risk Reduction agencies; Water basin authorities; Agricultural advisory services; Climate planners; Early warning Systems; Academia and research institutions

ArcX Partners: to be defined

Component Coordinator: European Centre for Medium-Range Weather Forecasts (ECMWF)

Leading Regional Centre of Excellence (RCoE): to be defined

Scientific and Technical Support from EC - DG JRC: JRC Unit D6 (Nature Conservation and Observations); JRC Unit E1 (Disaster Risk Management).


Available Resources
Displaying 16 - 30 of 63
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
This data represents the total built-up volume between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-BUILT-V - R2023A spatial raster dataset, that depicts t...
These layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to the global population grid generated by the JRC in the epochs 1975-20...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-POP - R2023A. Residential population estimat...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-POP - R2023A. Residential population estimat...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 1x1 km size. It derives from the GHS-POP - R2023A. Residential population estimat...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size. It derives from the GHS-POP - R2023A. Residential population esti...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size. It derives from the GHS-POP - R2023A. Residential population esti...
This data represents the distribution of human population between 1975 and 2030 in 5 year intervals over cells of 100x100 m size. It derives from the GHS-POP - R2023A. Residential population esti...
The Copernicus Global Land Service - Burnt Area products depict burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction o...
The GHS-BUILT-S spatial raster dataset depicts the distribution of the built-up (BU) surfaces estimates between 1975 and 2030 in 5 year intervals and two functional use components a) the total BU surf...
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