China vs Germany

China vs Germany: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 0.8 nights in Germany, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 40.6 nights, or 51 times that in Germany.

nights a year · CMIP6

China vs Germany: Tropical nightsTropical nights in 2014: 41.5 nights in China and 0.8 nights in Germany, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 40.6 nights, or 51 times that in Germany.
ChinaGermanyCMIP6 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 Germany at 8.8 nights in 2100.

Every year

nights a year · CMIP6

YearChinaGermany
201441.50.8
201341.70.7
201240.80.9
201140.20.5
201040.50.9
200939.50.5
200839.20.2
200738.70.3
200639.50.3
200539.50.6
200439.70.7
200338.50.6
200238.80.2
200139.50.5
200038.60.2
199938.50.2
199837.60.1
199737.10.1
199636.60.2
199535.10.1
199434.90
199333.20
199232.30
199135.90.1
199036.40.1
198936.10.1
198835.10
198734.50
1986340
198533.50.1
198433.40.1
198331.50
198234.10
198134.20
198034.30
197933.80
197834.80.1
197733.30
197632.70
197533.10
197433.30.1
197333.10
197232.60
1971330
197032.40.1
196933.40
196832.80
196733.40
196633.40
196532.50
196432.10
196334.50
1962340
196134.60
196034.10
1959340.1
1958350
195734.40
195634.60
195534.20
195434.20.1
195334.30
195234.30
195135.10
195034.90
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaGermany
201542.334.8–49.80.50–4
201642.134.4–500.80–4.3
201743.135.3–51.60.70–5.1
201842.335.5–49.50.70–3.5
201943.836.5–51.11.20–5
202043.736.8–51.11.20–5.7
202144.136–52.110–6
202244.737.5–52.71.40–5.7
202345.737.8–53.41.10–5.7
202445.738.1–541.20–5.2
202546.337.5–54.81.90–8.2
202646.237.6–55.51.90.1–6.5
202746.138–54.91.40–4.7
202846.438.4–54.31.50.1–5.5
202946.939.1–55.620.1–6.4
203047.138.8–55.31.60–6.1
20314738.8–561.40–5.4
203248.339.3–57.41.50.1–7.6
203347.939.7–56.61.70–6.8
203448.440.5–57.32.10.2–8.3
203549.740.8–58.61.70.1–6.9
20364940.1–58.22.80.1–7.8
20374941.2–57.62.50–9.2
203850.542.4–59.32.20.1–9.7
203949.641.2–59.230–8.9
204050.942.4–60.42.30.1–7.1
204151.342.5–61.12.40.1–7.9
204251.642–61.52.90.4–8.9
204350.742.7–613.10.1–8.7
204451.942.4–61.93.10.2–10.1
204551.542.8–61.130.1–8.7
20465343.7–62.73.10.5–10.9
204753.544.5–62.54.30.3–10.6
204853.144–62.63.70.2–12.9
204952.843.8–63.34.40.2–11.8
205053.644.4–63.83.10.6–9.3
205154.345.1–64.82.70.1–9.5
205253.444.6–63.23.60.2–11.5
205354.244.2–64.22.30.4–8.7
205454.545.3–64.83.50.4–10.3
20555545.1–65.83.30.4–11.3
205655.245.1–66.64.50.7–14.3
205754.844.9–65.740.4–11.3
205855.145.8–67.75.80.7–15.5
205955.345.1–67.25.10.1–15.6
206057.246.9–68.14.40.6–12.3
206156.546.6–66.35.31–12.3
206256.846.9–68.55.51.6–14.2
206357.247.2–68.65.20.8–13.8
20645747.1–67.74.10.5–12.2
206557.347.1–67.84.90.3–15.8
206657.347.9–68.75.30.7–11.8
206757.546.4–68.27.21.4–17.5
206858.748.5–70.53.90.9–11.3
206958.548.4–696.11.6–15
20705847.6–71.75.80.6–14.9
207159.347.4–71.66.30.6–16.4
207259.248.1–71.56.21.9–13
207359.849.1–70.95.51.3–16.2
207459.648.7–71.15.50.5–16.7
207558.748.3–71.46.21.4–18.3
207660.249–70.97.41.1–20.1
207760.851.1–72.46.31.1–17.4
207859.648.8–72.46.50.7–21.4
207960.750.1–72.66.70.6–22.7
208059.950–72.36.51.2–14.9
208160.950–73.26.60.9–18.5
20826149.8–73.37.91.4–22.5
208361.251.2–73.67.61.3–16.8
208461.749.7–74.65.91.1–15.9
208561.250.8–75.26.50.9–17.6
208661.648.9–74.57.90.8–23
208761.650.6–759.91.1–24.1
208862.750.5–77.18.92–18.4
208961.950–75.28.31.9–19.2
209062.551.4–73.76.20.8–24.1
209163.852–75.79.31.3–23.5
209263.251.2–75.18.61.7–19.2
209363.252–75.46.20.8–18.2
20946351.1–76.39.32.4–20.4
209563.952.8–76.49.51.1–24
209663.852.2–76.88.10.2–21.4
209762.750.7–75.16.40.5–20.1
209863.451.2–76.89.31.4–22.1
209963.851.9–76.18.11.4–20.8
210063.351.7–76.28.81.9–21.1

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.

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