Time series of quality checked atmospheric concentrations of carbon dioxide measured in building 77r (IPR-3) from 2016 till 2017.

The LISFLOOD static and parameter maps for Europe contain all gridded input maps (except for the meteorological forcings that can be found here https://data.jrc.ec.europa.eu/dataset/0bd84be4-cec8-4180-97a6-8b3adaac4d26) that are required to run the spatially...

The economic Multi-Regional Input-Output (I-O) tables used in the Global Energy and Climate Outlook (GECO) 2022 for the Reference scenario are presented. The Reference scenario (Baseline GECO 2022) represents a projection of the world economy with correspondin...

The indicator shows the spatial distribution of NH3 (Ammonia) emissions over Europe. The total emissions for each country are derived from the GAINS model. This is the first version of the dataset (1.0) and it has not been extensively validated yet.

The indicator shows the spatial distribution of SO2 (Sulphur dioxide) emissions over Europe. The total emissions for each country are derived from the GAINS model. This is the first version of the dataset (1.0) and it has not been extensively validated yet.

Annual rate of change in urban population proportion (proportion of the population living in Local Administrative Units - 2 classified as cities, towns and suburbs. The classification of LAU2s as cities, towns and suburbs is based on the LUISA degree of urban...

Historical (observations) data and projections (modelled) of total population per metro region. Historical regional data were extracted from EUROSTAT's online database and missing data were calculated in order to complete the historical series. Projection dat...

The indicator first identifies the minimum number of public transport stops that could serve 80% of a city’s total population, and second computes the average distance between the identified stops. It finally normalizes the multiplication of these two values w...

Modelled average travel distances in 2010 and 2050 according to LUISA projections and a spatial interaction model. The results are based on a number of simulation-specific assumptions but are instrumental in informing on the relative potential for sustainable ...

To simulate NO2 and PM10 at very high resolution (100 m), a Land Use Regression model (LUR) was built using pollutant concentrations for 2010 from monitoring sites as dependent variable and several other parameters (independent variables) were defined within a...

Urban population proportion. Proportion of the population living in Local Administrative Units - 2 (LAU2s) classified as cities, towns and suburbs. Classification of LAU2s as cities, towns and suburbs is based on the LUISA degree of urbanization projections. T...

The indicator shows the spatial distribution of PM2.5 (sub-25µm particulate matter in 100 kg/year) emissions over Europe.

This indicator sums up populations issued from LUISA model runs at a specified administrative level.

Removal by urban vegetation was calculated as the product of deposition velocity and NO2 concentration. Air pollutant deposition velocity was assessed following the approach proposed by Pistocchi et al. (2010) that estimates deposition velocity (DV) as a linea...

The indicator shows the spatial distribution of PM25 (sub-25µm particulate matter) emissions over Europe. The total emissions for each country are derived from the GAINS model. This is the first version of the dataset (1.0) and it has not been extensively vali...

Green Infrastructure (GI) is defined as a strategically planned and delivered network of high quality green spaces and other environmental features that are structurally and functionally “interconnected and therefore bring added benefits and are more resilient...

Build-up areas cover the land classified as urban, industrial and abandoned urban and industrial. Annual land take means the total land taken by built-up areas in a yearly basis, in other words the annual amount of change in built-up areas, within a specific p...

A composite indicator reflecting the relative flood risk within urban areas by taking into account the natural exposure (predicted flooded area and mean depth), and the sensitivity of the city to flooding (population and infrastructure affected).

Potential accessibility computed as, for each origin point, the sum of people at destinations divided by a transformation of travel time to those destinations. The transformation of travel times is through a general distance decay function.