China vs Ireland

China vs Ireland: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 0 nights in Ireland, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 41.5 nights.

Watch it change on the map

nights a year · CMIP6

China vs Ireland: Tropical nightsTropical nights in 2014: 41.5 nights in China and 0 nights in Ireland, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 41.5 nights.
ChinaIrelandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • China has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts China at 63.3 nights and Ireland at 0 nights in 2100.

Every year

nights a year · CMIP6

YearChinaIreland
201441.50
201341.70
201240.80
201140.20
201040.50
200939.50
200839.20
200738.70
200639.50
200539.50
200439.70
200338.50
200238.80
200139.50
200038.60
199938.50
199837.60
199737.10
199636.60
199535.10
199434.90
199333.20
199232.30
199135.90
199036.40
198936.10
198835.10
198734.50
1986340
198533.50
198433.40
198331.50
198234.10
198134.20
198034.30
197933.80
197834.80
197733.30
197632.70
197533.10
197433.30
197333.10
197232.60
1971330
197032.40
196933.40
196832.80
196733.40
196633.40
196532.50
196432.10
196334.50
1962340
196134.60
196034.10
1959340
1958350
195734.40
195634.60
195534.20
195434.20
195334.30
195234.30
195135.10
195034.90
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaIreland
201542.334.8–49.800–0
201642.134.4–5000–0
201743.135.3–51.600–0
201842.335.5–49.500–0
201943.836.5–51.100–0
202043.736.8–51.100–0
202144.136–52.100–0
202244.737.5–52.700–0
202345.737.8–53.400–0
202445.738.1–5400–0
202546.337.5–54.800–0
202646.237.6–55.500–0
202746.138–54.900–0
202846.438.4–54.300–0
202946.939.1–55.600–0
203047.138.8–55.300–0
20314738.8–5600–0
203248.339.3–57.400–0
203347.939.7–56.600–0
203448.440.5–57.300–0
203549.740.8–58.600–0
20364940.1–58.200–0
20374941.2–57.600–0
203850.542.4–59.300–0
203949.641.2–59.200–0
204050.942.4–60.400–0.1
204151.342.5–61.100–0
204251.642–61.500–0
204350.742.7–6100–0
204451.942.4–61.900–0
204551.542.8–61.100–0
20465343.7–62.700–0
204753.544.5–62.500–0
204853.144–62.600–0
204952.843.8–63.300–0.1
205053.644.4–63.800–0
205154.345.1–64.800–0.1
205253.444.6–63.200–0.1
205354.244.2–64.200–0
205454.545.3–64.800–0.1
20555545.1–65.800–0
205655.245.1–66.600–0
205754.844.9–65.700–0.2
205855.145.8–67.700–0.3
205955.345.1–67.200–0
206057.246.9–68.100–0.3
206156.546.6–66.300–0.1
206256.846.9–68.500–0.1
206357.247.2–68.600–0.2
20645747.1–67.700–0
206557.347.1–67.800–0.2
206657.347.9–68.700–0
206757.546.4–68.200–0.5
206858.748.5–70.500–0.1
206958.548.4–6900–0.1
20705847.6–71.700–0.1
207159.347.4–71.600–0.1
207259.248.1–71.500–0
207359.849.1–70.900–0.6
207459.648.7–71.100–0.2
207558.748.3–71.400–0.1
207660.249–70.900–0.6
207760.851.1–72.400–0.1
207859.648.8–72.400–0.7
207960.750.1–72.600–0.1
208059.950–72.300–0
208160.950–73.200–0.1
20826149.8–73.300–0.3
208361.251.2–73.600–0.1
208461.749.7–74.600–0
208561.250.8–75.200–0.1
208661.648.9–74.500–1.2
208761.650.6–7500–1.1
208862.750.5–77.100–0.2
208961.950–75.200–0.4
209062.551.4–73.700–0.1
209163.852–75.700–0.4
209263.251.2–75.100–0.3
209363.252–75.400–0.2
20946351.1–76.300–0.3
209563.952.8–76.400–0.6
209663.852.2–76.800–0.6
209762.750.7–75.100–0.6
209863.451.2–76.800–0.9
209963.851.9–76.100–0.6
210063.351.7–76.200–0.2

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

China vs Ireland

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment