China vs Laos

China vs Laos: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 192.8 nights in Laos, in the CMIP6 climate models’ median run. In 2014 the value was higher in Laos, by 151.4 nights, or 4.65 times that in China.

nights a year · CMIP6

China vs Laos: Tropical nightsTropical nights in 2014: 41.5 nights in China and 192.8 nights in Laos, in the CMIP6 climate models’ median run. In 2014 the value was higher in Laos, by 151.4 nights, or 4.65 times that in China.
ChinaLaosCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Laos 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 Laos at 246.3 nights in 2100.

Every year

nights a year · CMIP6

YearChinaLaos
201441.5192.8
201341.7195.1
201240.8191.6
201140.2193
201040.5190.7
200939.5189.1
200839.2188.6
200738.7185.3
200639.5188.6
200539.5186.1
200439.7191.4
200338.5183.8
200238.8184.7
200139.5190.3
200038.6185.1
199938.5183.9
199837.6184.9
199737.1184.9
199636.6177.4
199535.1176.6
199434.9179.4
199333.2170.4
199232.3165.3
199135.9178.5
199036.4181.2
198936.1176.1
198835.1178.1
198734.5177.3
198634176.9
198533.5172.3
198433.4175.7
198331.5166.9
198234.1173.8
198134.2174.1
198034.3175.3
197933.8174.1
197834.8170.7
197733.3172.6
197632.7169.8
197533.1169.3
197433.3171.2
197333.1177.3
197232.6169.3
197133168.6
197032.4169.4
196933.4171.8
196832.8170.3
196733.4164.6
196633.4171.4
196532.5168.3
196432.1164.5
196334.5166.3
196234173
196134.6175
196034.1173.2
195934170.1
195835176.9
195734.4171.8
195634.6173.3
195534.2172.8
195434.2171.8
195334.3171.8
195234.3173.6
195135.1175.3
195034.9172.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaLaos
201542.334.8–49.8198.2176.6–216.8
201642.134.4–50193174.6–213.8
201743.135.3–51.6198.1178.2–215.1
201842.335.5–49.5198.8178.8–218.7
201943.836.5–51.1200.6172.9–217.8
202043.736.8–51.1201.8177.8–220
202144.136–52.1204.2184–224.5
202244.737.5–52.7205.2182.2–225.7
202345.737.8–53.4206.2187.2–224.3
202445.738.1–54205.2186.3–221.9
202546.337.5–54.8206.1181.2–224
202646.237.6–55.5207.5183.6–226.9
202746.138–54.9206.4185.8–226.4
202846.438.4–54.3208.4186.8–230.5
202946.939.1–55.6215.3189.5–232.4
203047.138.8–55.3209.8189.3–227.8
20314738.8–56211.6194.2–230.7
203248.339.3–57.4211.4191–229.3
203347.939.7–56.6212.8193.9–231.8
203448.440.5–57.3214.5190.9–236
203549.740.8–58.6213.3192.8–234.5
20364940.1–58.2213.6191.7–231.6
20374941.2–57.6215.7195.2–234.2
203850.542.4–59.3221.3202.2–238.1
203949.641.2–59.2216195.9–235.9
204050.942.4–60.4217.2196.2–235.1
204151.342.5–61.1221.3199.8–240.8
204251.642–61.5221.3200.3–239.4
204350.742.7–61218.2199.3–237.8
204451.942.4–61.9219.8194.2–237.9
204551.542.8–61.1223.9202.3–242.4
20465343.7–62.7222.1198–239
204753.544.5–62.5225202.1–243.8
204853.144–62.6226.8204.9–247.7
204952.843.8–63.3226.6206–249
205053.644.4–63.8226.9207.5–245.6
205154.345.1–64.8229.3208.8–247.3
205253.444.6–63.2228.7209.4–244.4
205354.244.2–64.2227.2206.2–247.2
205454.545.3–64.8228206.7–247.3
20555545.1–65.8227.3206.6–248.1
205655.245.1–66.6232.1212.8–253.7
205754.844.9–65.7227.9207.9–248.4
205855.145.8–67.7229.6207.8–249.3
205955.345.1–67.2233.1214.1–249.5
206057.246.9–68.1237.7213.2–253.7
206156.546.6–66.3233.5210–254.8
206256.846.9–68.5230.6209–257.1
206357.247.2–68.6232.2211–250.9
20645747.1–67.7235213.9–252
206557.347.1–67.8232.1213.7–253.3
206657.347.9–68.7232.1212.3–251.7
206757.546.4–68.2231.7205.9–254.2
206858.748.5–70.5235.6212.3–256.8
206958.548.4–69237.4213.9–257.5
20705847.6–71.7234.4213.7–255.9
207159.347.4–71.6236212.9–260.4
207259.248.1–71.5239214.7–254.8
207359.849.1–70.9239.6220.8–259
207459.648.7–71.1239214.1–260.4
207558.748.3–71.4238.6215.1–260.7
207660.249–70.9240.5216.9–263.9
207760.851.1–72.4242.2222.7–262.5
207859.648.8–72.4242.1215.9–260.8
207960.750.1–72.6241.1222.6–260.6
208059.950–72.3240.8220.6–264.8
208160.950–73.2242.8217.4–264.5
20826149.8–73.3243.2216.6–262.4
208361.251.2–73.6239.6219.9–261.2
208461.749.7–74.6241.7215.2–260
208561.250.8–75.2243.6221.2–266.3
208661.648.9–74.5244.4218.2–267.7
208761.650.6–75243.8219.7–267
208862.750.5–77.1246.1224.3–269.6
208961.950–75.2242.8220.1–268.3
209062.551.4–73.7242.8226.2–266.1
209163.852–75.7245.5221.4–267
209263.251.2–75.1243.1220.1–266.5
209363.252–75.4242.1221.2–263.6
20946351.1–76.3245.7224.8–267.6
209563.952.8–76.4249.4222.7–273.4
209663.852.2–76.8244.6221.7–268.3
209762.750.7–75.1244.8221–265.4
209863.451.2–76.8245.4224.3–268
209963.851.9–76.1247.3220.9–265.1
210063.351.7–76.2246.3220–266.4

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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