Canada vs China

Canada vs China: Tropical nights

Tropical nights in 2014: 0.5 nights in Canada and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 40.9 nights, or 78 times that in Canada.

nights a year · CMIP6

Canada vs China: Tropical nightsTropical nights in 2014: 0.5 nights in Canada and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 40.9 nights, or 78 times that in Canada.
CanadaChinaCMIP6 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 Canada at 4.1 nights and China at 63.3 nights in 2100.

Every year

nights a year · CMIP6

YearCanadaChina
20140.541.5
20130.441.7
20120.540.8
20110.540.2
20100.440.5
20090.539.5
20080.439.2
20070.438.7
20060.539.5
20050.439.5
20040.439.7
20030.438.5
20020.438.8
20010.339.5
20000.338.6
19990.438.5
19980.337.6
19970.337.1
19960.336.6
19950.335.1
19940.234.9
19930.233.2
19920.132.3
19910.235.9
19900.336.4
19890.236.1
19880.235.1
19870.234.5
19860.234
19850.233.5
19840.233.4
19830.131.5
19820.134.1
19810.234.2
19800.234.3
19790.233.8
19780.234.8
19770.233.3
19760.132.7
19750.333.1
19740.233.3
19730.233.1
19720.232.6
19710.133
19700.232.4
19690.133.4
19680.132.8
19670.133.4
19660.233.4
19650.232.5
19640.132.1
19630.234.5
19620.234
19610.334.6
19600.234.1
19590.234
19580.235
19570.234.4
19560.234.6
19550.234.2
19540.234.2
19530.134.3
19520.234.3
19510.235.1
19500.234.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCanadaChina
20150.60.1–1.942.334.8–49.8
20160.60.2–1.942.134.4–50
20170.60.1–243.135.3–51.6
20180.60.2–1.842.335.5–49.5
20190.60.2–1.943.836.5–51.1
20200.60.1–243.736.8–51.1
20210.60.1–1.944.136–52.1
20220.80.3–2.344.737.5–52.7
20230.80.2–2.545.737.8–53.4
20240.70.1–2.645.738.1–54
20250.90.2–2.546.337.5–54.8
202610.2–3.146.237.6–55.5
20270.90.2–3.346.138–54.9
202810.3–2.646.438.4–54.3
202910.3–346.939.1–55.6
203010.2–2.747.138.8–55.3
20310.90.2–2.74738.8–56
20321.10.3–3.348.339.3–57.4
20331.10.4–347.939.7–56.6
20341.10.3–3.148.440.5–57.3
20351.30.3–3.849.740.8–58.6
20361.30.3–44940.1–58.2
203710.3–3.34941.2–57.6
20381.10.3–3.950.542.4–59.3
20391.10.3–3.549.641.2–59.2
20401.40.3–4.950.942.4–60.4
20411.30.4–3.751.342.5–61.1
20421.20.4–3.951.642–61.5
20431.20.3–4.550.742.7–61
20441.60.5–4.351.942.4–61.9
20451.40.4–4.251.542.8–61.1
20461.60.4–4.95343.7–62.7
20471.70.6–4.853.544.5–62.5
20481.60.5–4.153.144–62.6
20491.60.4–552.843.8–63.3
20501.70.4–5.253.644.4–63.8
20511.80.5–654.345.1–64.8
205220.3–5.253.444.6–63.2
20531.50.3–4.954.244.2–64.2
20541.80.4–5.754.545.3–64.8
205520.5–55545.1–65.8
20561.90.5–5.855.245.1–66.6
205720.5–5.854.844.9–65.7
20582.10.5–6.455.145.8–67.7
205920.6–5.955.345.1–67.2
20602.50.8–5.657.246.9–68.1
20612.40.6–656.546.6–66.3
20622.60.4–6.456.846.9–68.5
20632.20.6–6.457.247.2–68.6
20641.70.4–65747.1–67.7
20652.40.5–757.347.1–67.8
20662.30.5–7.457.347.9–68.7
20672.40.6–6.357.546.4–68.2
20682.50.5–7.958.748.5–70.5
20692.90.8–758.548.4–69
20702.30.7–7.25847.6–71.7
20712.40.5–7.359.347.4–71.6
20722.50.7–7.259.248.1–71.5
20732.60.6–7.659.849.1–70.9
20742.60.7–7.659.648.7–71.1
20752.60.6–7.758.748.3–71.4
20762.80.7–7.960.249–70.9
20772.90.7–8.560.851.1–72.4
20782.60.8–8.459.648.8–72.4
207930.7–7.460.750.1–72.6
20802.70.8–7.559.950–72.3
208131–8.660.950–73.2
20823.40.7–9.16149.8–73.3
20833.21–9.461.251.2–73.6
20842.90.8–8.461.749.7–74.6
20853.51–9.161.250.8–75.2
20863.51–9.461.648.9–74.5
20873.80.9–9.561.650.6–75
20883.60.7–9.262.750.5–77.1
20893.40.9–8.561.950–75.2
20903.30.8–962.551.4–73.7
20913.91–10.663.852–75.7
20923.91–1063.251.2–75.1
20933.61–9.663.252–75.4
20943.90.6–9.26351.1–76.3
20953.71.1–11.263.952.8–76.4
20963.91.1–10.763.852.2–76.8
209741.1–10.762.750.7–75.1
20983.71.1–10.263.451.2–76.8
20993.81.3–9.763.851.9–76.1
21004.11–11.563.351.7–76.2

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

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