Afghanistan vs China

Afghanistan vs China: Tropical nights

Tropical nights in 2014: 50.8 nights in Afghanistan and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in Afghanistan, by 9.3 nights, or 1.22 times that in China.

nights a year · CMIP6

Afghanistan vs China: Tropical nightsTropical nights in 2014: 50.8 nights in Afghanistan and 41.5 nights in China, in the CMIP6 climate models’ median run. In 2014 the value was higher in Afghanistan, by 9.3 nights, or 1.22 times that in China.
AfghanistanChinaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Afghanistan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Afghanistan at 72.3 nights and China at 63.3 nights in 2100.

Every year

nights a year · CMIP6

YearAfghanistanChina
201450.841.5
201350.641.7
201250.140.8
201149.940.2
201048.240.5
200948.939.5
200848.839.2
200748.338.7
200648.739.5
200548.139.5
200447.939.7
200347.238.5
200249.438.8
20014739.5
200047.938.6
199947.938.5
199846.837.6
199746.837.1
19964536.6
199544.435.1
199444.634.9
199342.433.2
199242.532.3
199145.135.9
199045.536.4
198945.536.1
198844.335.1
198744.534.5
19864434
198543.533.5
198443.433.4
198340.531.5
198243.134.1
198143.834.2
19804334.3
19794433.8
197843.134.8
197741.533.3
197641.632.7
197541.433.1
197441.633.3
197341.733.1
197242.132.6
197140.833
197041.632.4
196941.333.4
196840.832.8
196741.533.4
19664133.4
196541.132.5
196441.332.1
196341.834.5
196241.834
196142.634.6
196042.134.1
195941.834
195843.335
195742.234.4
195642.334.6
195541.434.2
195442.534.2
195341.834.3
195242.934.3
195141.535.1
195042.834.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanChina
201552.244.8–59.842.334.8–49.8
201652.545–59.742.134.4–50
201752.345.8–58.843.135.3–51.6
20185244.6–59.342.335.5–49.5
201953.345.9–60.743.836.5–51.1
202054.347.1–61.243.736.8–51.1
202153.746.7–61.444.136–52.1
202253.146.2–61.644.737.5–52.7
202355.646–62.745.737.8–53.4
20245647.3–6445.738.1–54
202555.947.9–6546.337.5–54.8
202654.945.9–64.546.237.6–55.5
202755.948.7–64.246.138–54.9
20285647.4–6446.438.4–54.3
202954.747.9–62.546.939.1–55.6
203056.749.3–63.847.138.8–55.3
203158.650.2–65.44738.8–56
203257.649.8–65.448.339.3–57.4
203357.749.1–65.547.939.7–56.6
203459.148.6–68.248.440.5–57.3
203560.251.4–67.749.740.8–58.6
203659.251.7–66.64940.1–58.2
203759.751.1–704941.2–57.6
20386051.9–67.250.542.4–59.3
203958.651.3–6649.641.2–59.2
204059.651.8–6850.942.4–60.4
20415951.1–6851.342.5–61.1
204260.752.4–69.951.642–61.5
204359.351.2–68.550.742.7–61
204460.752.6–69.851.942.4–61.9
204561.152.7–69.751.542.8–61.1
204661.452.3–71.65343.7–62.7
204762.553.6–71.553.544.5–62.5
204863.354.7–72.353.144–62.6
204962.253.1–71.952.843.8–63.3
205063.754.4–73.153.644.4–63.8
205162.853.2–73.254.345.1–64.8
205264.254.7–73.453.444.6–63.2
205363.354.9–71.654.244.2–64.2
205464.355.6–73.454.545.3–64.8
205564.956.7–73.75545.1–65.8
205664.155.8–73.455.245.1–66.6
205765.555.1–75.654.844.9–65.7
205865.256.7–74.755.145.8–67.7
205964.556.1–73.655.345.1–67.2
206066.855.9–75.657.246.9–68.1
206165.857.4–73.256.546.6–66.3
206266.856.9–77.456.846.9–68.5
206367.359.1–76.657.247.2–68.6
206466.357.6–76.75747.1–67.7
206567.457.8–78.557.347.1–67.8
20666859.4–77.957.347.9–68.7
206769.258.5–79.957.546.4–68.2
20686858.5–77.758.748.5–70.5
206968.560.5–78.358.548.4–69
20706859.6–78.75847.6–71.7
207168.458.2–78.959.347.4–71.6
207268.558.7–79.359.248.1–71.5
207369.960.2–80.959.849.1–70.9
207469.260.9–79.359.648.7–71.1
207568.459.6–81.458.748.3–71.4
207669.457.9–8160.249–70.9
207770.158.3–80.860.851.1–72.4
207867.958.5–82.459.648.8–72.4
207968.757.9–81.260.750.1–72.6
208069.459.3–8259.950–72.3
208169.158.1–81.360.950–73.2
208270.960.1–836149.8–73.3
208370.960.3–82.861.251.2–73.6
208471.760.2–82.361.749.7–74.6
208570.260.1–85.461.250.8–75.2
208669.660.3–82.961.648.9–74.5
208771.362.8–84.161.650.6–75
208871.660.7–85.262.750.5–77.1
208972.361.4–83.961.950–75.2
20907160.2–83.462.551.4–73.7
209172.261.1–83.363.852–75.7
209272.261.6–83.363.251.2–75.1
209372.562.6–83.563.252–75.4
209472.962.2–85.36351.1–76.3
209573.761.1–84.363.952.8–76.4
209673.362.9–85.763.852.2–76.8
209770.960.6–84.362.750.7–75.1
209873.562.2–87.363.451.2–76.8
209972.761–84.163.851.9–76.1
210072.360.5–87.463.351.7–76.2

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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