China vs Vietnam

China vs Vietnam: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 201.1 nights, or 5.85 times that in China.

nights a year · CMIP6

China vs Vietnam: Tropical nightsTropical nights in 2014: 41.5 nights in China and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 201.1 nights, or 5.85 times that in China.
ChinaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearChinaVietnam
201441.5242.6
201341.7243.6
201240.8242.4
201140.2241.9
201040.5240.9
200939.5240
200839.2238.7
200738.7238
200639.5239.1
200539.5238.3
200439.7241.8
200338.5235.9
200238.8236.3
200139.5241.3
200038.6237
199938.5236
199837.6236.8
199737.1237.1
199636.6231.4
199535.1229.9
199434.9231.2
199333.2225.3
199232.3221.9
199135.9229.8
199036.4233.1
198936.1229.2
198835.1231.7
198734.5230.3
198634230.9
198533.5228
198433.4230.2
198331.5224.9
198234.1227.5
198134.2229.7
198034.3228.1
197933.8228.9
197834.8227.5
197733.3229
197632.7225.8
197533.1225.8
197433.3225.7
197333.1230.3
197232.6225.6
197133225.5
197032.4226.1
196933.4227
196832.8227.1
196733.4222.9
196633.4226.8
196532.5225.4
196432.1222.6
196334.5224.3
196234227.8
196134.6229.4
196034.1228.5
195934226.2
195835230.9
195734.4228.4
195634.6228.7
195534.2227.5
195434.2226.3
195334.3228.2
195234.3228.5
195135.1229.2
195034.9228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaVietnam
201542.334.8–49.8245.8228.2–261.9
201642.134.4–50243.7226.1–259.4
201743.135.3–51.6247229.6–260.7
201842.335.5–49.5248.3228.8–263.3
201943.836.5–51.1248.1229.2–262.8
202043.736.8–51.1248.8229.6–262.9
202144.136–52.1251.1233.1–266.7
202244.737.5–52.7252.4234.3–266.8
202345.737.8–53.4253.4235.4–266.6
202445.738.1–54251.3236.7–264.6
202546.337.5–54.8252.4234.1–266.2
202646.237.6–55.5252.8232.9–268.5
202746.138–54.9253.2237–268.8
202846.438.4–54.3254.3237.7–272
202946.939.1–55.6258.1238.5–273.7
203047.138.8–55.3256.4240.9–270.1
20314738.8–56255.9241.2–270.9
203248.339.3–57.4257.4239.1–269.9
203347.939.7–56.6258.3241.7–273.2
203448.440.5–57.3258.8240.7–275.8
203549.740.8–58.6258.6242.5–275.4
20364940.1–58.2258.3239.1–273.8
20374941.2–57.6258.7242.4–272.4
203850.542.4–59.3263.4247.6–277.3
203949.641.2–59.2260.2243.7–275.9
204050.942.4–60.4260.1242.8–274.8
204151.342.5–61.1263.1245.9–279
204251.642–61.5263.6246.5–279
204350.742.7–61261.4245.5–279.6
204451.942.4–61.9263.2245.2–277.6
204551.542.8–61.1265.5249.6–281.4
20465343.7–62.7264.9246.8–278.1
204753.544.5–62.5266.9250.4–282.9
204853.144–62.6268250.5–283.8
204952.843.8–63.3267.8251.2–284.8
205053.644.4–63.8268251.2–283.5
205154.345.1–64.8270.9254.3–285.4
205253.444.6–63.2268.3253.3–282.8
205354.244.2–64.2268.5250.1–283.2
205454.545.3–64.8269.1250.8–283.6
20555545.1–65.8270249.8–284.2
205655.245.1–66.6271.7254.8–290.1
205754.844.9–65.7270253–285.7
205855.145.8–67.7270.7252.9–286.5
205955.345.1–67.2273257.6–286.6
206057.246.9–68.1275.7255.6–290.6
206156.546.6–66.3273.5254.6–289.5
206256.846.9–68.5271.4253.1–290.2
206357.247.2–68.6272.9252.7–288.1
20645747.1–67.7273.8254.4–288.1
206557.347.1–67.8272255.8–286.3
206657.347.9–68.7271.8254.4–287.3
206757.546.4–68.2270.8252.1–287.6
206858.748.5–70.5275.6256.9–292.4
206958.548.4–69276.4258.5–292
20705847.6–71.7274.6257.8–292.8
207159.347.4–71.6276.2255.2–294.1
207259.248.1–71.5277256.8–291.4
207359.849.1–70.9278.5262.7–293.4
207459.648.7–71.1277.6259.2–295.8
207558.748.3–71.4276.4258.7–294.4
207660.249–70.9279.2258.5–296.6
207760.851.1–72.4280264.9–294.7
207859.648.8–72.4278.4258.6–295.5
207960.750.1–72.6279.3263.4–293.6
208059.950–72.3280261.4–296.5
208160.950–73.2280.4261.2–297.9
20826149.8–73.3280.9258.9–296
208361.251.2–73.6278.4261.6–295
208461.749.7–74.6279257.4–293.8
208561.250.8–75.2281.3265–297.8
208661.648.9–74.5282.3260.2–297.5
208761.650.6–75281.9261.3–300.7
208862.750.5–77.1283.1265.7–301.5
208961.950–75.2280.8261.2–301.6
209062.551.4–73.7280.5264.5–297.6
209163.852–75.7283.3264.3–298.9
209263.251.2–75.1281.1261.5–299.4
209363.252–75.4280.5263.4–296.1
20946351.1–76.3283264.5–300
209563.952.8–76.4285.5264.5–302.9
209663.852.2–76.8281.8264.8–299.8
209762.750.7–75.1281.5263.3–299
209863.451.2–76.8282.5263.9–301.5
209963.851.9–76.1282.7265.1–298
210063.351.7–76.2282.7261–298.2

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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