Global - City-level Climate Projections - The Climate Data Factory
City-level data package
This is a data package consisting of 2 weather variables (temperature and precipitation) and 40 indicators, presented in a monthly time series from 1951 to 2100, as simulated by 17 to 21 models (depending on variable) under 2 greenhouse gas emission scenarios (RCP4.5 and RCP8.5). The data format is a time series from a single site, corresponding to the centre of a model grid box of 0.25°x 0.25° (about 25km x 25km).
Ready to use Climate Projection Data
The data is classed as "Ready to use" because it is suitable for direct use in climate change impact studies and physical risk assessments. Data is obtained through statistical processing with advanced methods to remove model biases, increasing spatial resolution and control output quality.
ReferenceThomas Noël, Harilaos Loukos, Dimitri Defrance, Mathieu Vrac, Guillaume Levavasseur,
A high-resolution downscaled CMIP5 projections dataset of essential surface climate variables over the globe coherent with the ERA5 reanalysis for climate change impact assessments,
Data in Brief, Volume 35, 2021, 106900, ISSN 2352-3409,https://doi.org/10.1016/j.dib.2021.106900.
Our 'Ready to use' data is useful for quick exploration of future climate conditions at a specific location. It is intended to inform about possible trends and changes to support qualitative assessments. For example for establishing an adaptation strategy, it provides the background information allowing you to infer a general understanding of the extent to which climate change may affect your region of interest (e.g., allows you to assess how temperature or precipitation may evolve allowing you evaluate societal impact).
Is the observation data from measurements at weather stations?
Not exactly. What we call “observations” are actually “Reanalysis” data. Reanalysis is a technique that combines climate modelling and measurements from all kinds of weather instruments. In this dataset, the reanalysis data is called ERA5 and available from the Copernicus Climate Change Service, provided through the Climate data store.
What are the limitations ?
The data is comparable but not exactly similar to what a weather station measures. If you compare the present observation data with your favourite historical weather station data they should be close but they will probably not match because they do not represent the same spatial scale (a square meter compared to several hundreds of square kilometers).
Do not expect the model date to be comparable on a day to day basis between models or with the provided observations. It is the statistics over a 20 to 30 year period that should be compared not specific days or months.
Do not expect the data to account for small scale processes that might alter the values given here. For instance, to account for the Urban Heat-Island effect further modelling at higher spatial resolution is required.
All world cities with more than 100K inhabitants are available. Please find below a selection of cities with more than 1 million inhabitants. If your City is not listed, please contact email@example.com
Each city has a set price of £1000. Discounts can be applied for purchases of more than 4 cities, please contact firstname.lastname@example.org for more information.
To purchase, select the cities in the drop-down menu below and click 'Confirm Options' to update the total price. Click 'Add to cart' once you are ready to pay.
Select and confirm item options from the list below before adding it to cart