Skip to main content

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: Still to be defined

Target Groups: Still to be defined

ArcX Partners: Still to be defined

Component Coordinator: European Centre for Medium-Range Weather Forecasts (ECMWF) - pending contract signature.

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


Available Resources
Displaying 46 - 60 of 93
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
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...
This GHS-POP spatial raster product (GHS-POP_GLOBE_R2023) depicts the distribution of human population, expressed as the number of people per cell. Residential population estimates at 5 years interval...
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...
A hybrid transition map is available at a resolution of 10m for the period from 1990 to 2022. This beta version combines the recently updated TMF map for the year 2022, derived from Landsat images at ...
Mining has major economic, environmental and societal consequences, yet knowledge and understanding of its global footprint are still limited. These polygons represent the global mining land use detec...
GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030). The spatial raster dataset depicts the distribution of built-up surfaces, expre...
The erosive force of rainfall (rainfall erosivity) is a major driver of soil, nutrient losses worldwide and an important input for soil erosion assessments models. This map shows the geographical dist...
The erosive force of rainfall (rainfall erosivity) is a major driver of soil, nutrient losses worldwide and an important input for soil erosion assessments models. This map shows the geographical dist...
The erosive force of rainfall (rainfall erosivity) is a major driver of soil, nutrient losses worldwide and an important input for soil erosion assessments models. This map shows the geographical dist...
The erosive force of rainfall (rainfall erosivity) is a major driver of soil, nutrient losses worldwide and an important input for soil erosion assessments models. This map shows the geographical dist...
The erosive force of rainfall (rainfall erosivity) is a major driver of soil, nutrient losses worldwide and an important input for soil erosion assessments models. This map shows the geographical dist...
The erosive force of rainfall (rainfall erosivity) is a major driver of soil, nutrient losses worldwide and an important input for soil erosion assessments models. This map shows the geographical dist...