China vs Kazakhstan

China vs Kazakhstan: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 22.4 nights in Kazakhstan, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 19.1 nights, or 1.85 times that in Kazakhstan.

nights a year · CMIP6

China vs Kazakhstan: Tropical nightsTropical nights in 2014: 41.5 nights in China and 22.4 nights in Kazakhstan, in the CMIP6 climate models’ median run. In 2014 the value was higher in China, by 19.1 nights, or 1.85 times that in Kazakhstan.
ChinaKazakhstanCMIP6 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 Kazakhstan at 47.9 nights in 2100.

Every year

nights a year · CMIP6

YearChinaKazakhstan
201441.522.4
201341.721.3
201240.821.7
201140.219.6
201040.518.7
200939.520
200839.220.2
200738.719.9
200639.519.2
200539.519.4
200439.718
200338.518.9
200238.819.5
200139.518.1
200038.617.2
199938.517.4
199837.616.9
199737.118.3
199636.615.7
199535.115
199434.914.7
199333.212.3
199232.312.3
199135.915
199036.416
198936.114.1
198835.114
198734.515
19863412.9
198533.514.6
198433.412.1
198331.59.9
198234.114.1
198134.214.1
198034.312.7
197933.813.5
197834.812
197733.313.3
197632.712.5
197533.112.1
197433.311.9
197333.111.7
197232.612.3
19713312.1
197032.411.7
196933.411.9
196832.812.2
196733.411.7
196633.411.9
196532.511.3
196432.110.9
196334.512.2
19623412.4
196134.612.1
196034.112.2
19593412.5
19583513.9
195734.414
195634.612.9
195534.212.5
195434.213.1
195334.312.4
195234.313.5
195135.112.7
195034.913.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaKazakhstan
201542.334.8–49.825.415.1–35.8
201642.134.4–5022.815–34.3
201743.135.3–51.623.214.5–32
201842.335.5–49.524.314.7–35.8
201943.836.5–51.124.115.9–33.9
202043.736.8–51.123.115.4–32.5
202144.136–52.123.315–32.4
202244.737.5–52.725.216.7–34.9
202345.737.8–53.425.516.4–35.3
202445.738.1–5425.515.5–35.1
202546.337.5–54.826.218.1–35.9
202646.237.6–55.525.617.5–35.3
202746.138–54.92718.5–38
202846.438.4–54.327.818.2–38.7
202946.939.1–55.625.516.8–38.6
203047.138.8–55.327.616.5–38.2
20314738.8–5630.420.5–40.9
203248.339.3–57.430.320.4–40.3
203347.939.7–56.629.120.2–40.7
203448.440.5–57.32817.6–39.7
203549.740.8–58.630.719.3–42.8
20364940.1–58.230.520.6–41.5
20374941.2–57.629.120.2–39.5
203850.542.4–59.331.420.5–42.6
203949.641.2–59.23020.9–42.7
204050.942.4–60.432.719.8–42.5
204151.342.5–61.132.421.8–46.2
204251.642–61.532.220.2–45.8
204350.742.7–6131.922.5–42.3
204451.942.4–61.933.620.2–45
204551.542.8–61.132.221.7–44.6
20465343.7–62.734.423.3–48.5
204753.544.5–62.534.621.7–48.7
204853.144–62.63520.9–46
204952.843.8–63.335.624.5–47.8
205053.644.4–63.837.324.5–48.4
205154.345.1–64.835.523.6–49.7
205253.444.6–63.235.522.7–47.2
205354.244.2–64.236.123–48.3
205454.545.3–64.834.822.6–49.1
20555545.1–65.83625.6–48.9
205655.245.1–66.637.725.6–50.3
205754.844.9–65.739.226.6–51.3
205855.145.8–67.735.323.7–51.2
205955.345.1–67.238.426.6–54.2
206057.246.9–68.139.626.9–52.2
206156.546.6–66.337.926.2–51.3
206256.846.9–68.537.924.7–54.3
206357.247.2–68.639.825.5–54.5
20645747.1–67.737.222.3–54.8
206557.347.1–67.841.928.2–55.4
206657.347.9–68.738.826.8–53
206757.546.4–68.238.325.1–54.2
206858.748.5–70.542.427.4–55.9
206958.548.4–694128.5–57
20705847.6–71.740.328.2–55.9
207159.347.4–71.642.128.7–57.3
207259.248.1–71.541.429.5–55.6
207359.849.1–70.940.926.9–59.4
207459.648.7–71.143.929–60.2
207558.748.3–71.442.929.1–58.3
207660.249–70.941.328–54.9
207760.851.1–72.442.429.5–58.4
207859.648.8–72.443.930.9–56.8
207960.750.1–72.643.528.7–57.6
208059.950–72.341.827.4–57.2
208160.950–73.242.629.1–56.8
20826149.8–73.344.427.6–57.3
208361.251.2–73.644.531.7–60.4
208461.749.7–74.641.826.8–58.4
208561.250.8–75.243.828.7–61.5
208661.648.9–74.543.228.3–56.5
208761.650.6–7543.529.7–59.3
208862.750.5–77.143.629.7–61.9
208961.950–75.244.132–59.5
209062.551.4–73.745.431.4–62
209163.852–75.745.630.5–64
209263.251.2–75.147.228.9–62.8
209363.252–75.445.929.9–62.9
20946351.1–76.345.931.4–64.4
209563.952.8–76.446.431.4–63.6
209663.852.2–76.847.934.2–66.4
209762.750.7–75.148.633.7–65
209863.451.2–76.84832.2–65.5
209963.851.9–76.147.130.3–64.2
210063.351.7–76.247.933–65.8

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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