Korea vs Malta: Climate projections by scenario, 2030–2060 - Regions — Projected air
Climate projections by scenario, 2030–2060 - Regions — Projected air over time
- Korea
- Malta
How they compare
Malta currently reports 3.1 Degrees celsius against 2.5 Degrees celsius in Korea, a difference of 0.6 Degrees celsius.
That makes Malta's figure about 1.2 times Korea's.
Across all 31 years both countries report, Malta has been ahead every year.
Korea ranks 1st and Malta ranks 1st of 3 groups.
Malta has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Korea | Malta | Difference | Ahead |
|---|---|---|---|---|
| 2030s | 1.82 Degrees celsius | 2.63 Degrees celsius | 0.81 Degrees celsius | Malta |
| 2040s | 2.06 Degrees celsius | 2.93 Degrees celsius | 0.87 Degrees celsius | Malta |
| 2050s | 2.21 Degrees celsius | 3.03 Degrees celsius | 0.82 Degrees celsius | Malta |
| 2060s | 2.5 Degrees celsius | 3.1 Degrees celsius | 0.6 Degrees celsius | Malta |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher climate projections by scenario, 2030–2060 - regions — projected air, Korea or Malta?
- Malta, at 3.1 Degrees celsius against 2.5 Degrees celsius in Korea as of 2060.
- What is the difference in climate projections by scenario, 2030–2060 - regions — projected air between Korea and Malta?
- 0.6 Degrees celsius, with Malta ahead.
- How many years of comparable data are there for Korea and Malta?
- 31 years are reported by both, from 2030 to 2060.
- How do Korea and Malta rank globally for climate projections by scenario, 2030–2060 - regions — projected air?
- Korea ranks 1st and Malta ranks 1st of 3 groups.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Climate projections by scenario, 2030–2060 - Regions — Projected air temperature change compared to 1981-2010 average. 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 large (TL2) and small (TL3) regions. Data definition and source 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. Total precipitation in millimetres refers to the accumulated liquid and frozen water per year that falls to the Earth's surface. Extreme precipitation days are defined as days during which the total precipitation is higher than 20 mm. 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). 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 highlights four scenarios (see the methodology): 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. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Local Data Portal OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.