Braga vs Luxembourg: Climate projections by scenario, 2030–2060 – Cities and FUAs
Climate projections by scenario, 2030–2060 – Cities and FUAs over time
- Braga
- Luxembourg
How they compare
Braga currently reports 16.6 Degrees celsius against 11.45 Degrees celsius in Luxembourg, a difference of 5.15 Degrees celsius.
That makes Braga's figure about 1.4 times Luxembourg's.
Across all 31 years both countries report, Braga has been ahead every year.
Braga ranks 4th and Luxembourg ranks 2nd of 8 groups.
Braga has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Braga | Luxembourg | Difference | Ahead |
|---|---|---|---|---|
| 2030s | 16.07 Degrees celsius | 10.72 Degrees celsius | 5.35 Degrees celsius | Braga |
| 2040s | 16.28 Degrees celsius | 11.03 Degrees celsius | 5.25 Degrees celsius | Braga |
| 2050s | 16.41 Degrees celsius | 11.16 Degrees celsius | 5.24 Degrees celsius | Braga |
| 2060s | 16.6 Degrees celsius | 11.45 Degrees celsius | 5.14 Degrees celsius | Braga |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate projections by scenario, 2030–2060 – cities and fuas, Braga or Luxembourg?
- Braga, at 16.6 Degrees celsius against 11.45 Degrees celsius in Luxembourg as of 2060.
- What is the difference in climate projections by scenario, 2030–2060 – cities and fuas between Braga and Luxembourg?
- 5.15 Degrees celsius, with Braga ahead.
- How many years of comparable data are there for Braga and Luxembourg?
- 31 years are reported by both, from 2030 to 2060.
- How do Braga and Luxembourg rank globally for climate projections by scenario, 2030–2060 – cities and fuas?
- Braga ranks 4th and Luxembourg ranks 2nd of 8 groups.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Climate projections by scenario, 2030–2060 – Cities and FUAs — Projected air temperature. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides sub-national indicators on 2030-2060 projections by scenario on air temperature, hot days, icing days, tropical nights, total precipitation and extreme precipitation days in FUAs and Cities. Data sources and methodology Projections are based on NASA NEX-GDDP CMIP6 data, which provides average air temperature projections at a 0.25° spatial resolution for different scenarios - Shared Socioeconomic Pathways (SSPs). Hot days refer to days during which the maximum temperature is higher than 35°C) Tropical nights refer to nights during which the minimum temperature is higher than 20°C. Icing days are defined as days during which the maximum temperature is lower than 0°C. Extreme precipitation days are defined as days during which the total precipitation is higher than 20 mm. SSPs are climate scenarios up to 2100 that model how socio‑economic factors may change over the next century. These scenarios are combined with Representative Concentration Pathways (RCPs), which outline different greenhouse gas (GHG) concentration levels and their radiative forcings. Radiative forcing quantifies how factors like GHGs, aerosols and solar changes affect Earth’s atmospheric energy balance. This dataset covers highlights four scenarios: SSP1-2.6: Sustainability. 2.6 watts per square metre (W/m2) radiative forcing, 1.8°C warming by 2100. SSP2-4.5: Middle-of-the-road. 4.5 W/m2 radiative forcing, 2.7°C warming by 2100. SSP3-7.0: Regional rivalry. 7.0 W/m2 radiative forcing, 3.6°C warming by 2100. SSP5-8.5: Fossil fuel development. 8.5 W/m2 radiative forcing, 4.4°C warming by 2100. Defining FUAs and cities The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of: A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city. A commuting zone – including all local areas where at least 15% of employed residents work in the city. The delineation process includes: Assigning municipalities surrounded by a single FUA to that FUA. Excluding non-contiguous municipalities. The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries. Cite this dataset OECD Regions, cities and local areas database (Climate projections by scenario, 2030-2060 – Cities and FUAs), http://oe.cd/geostats Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email CitiesStat@oecd.org