China vs Papua New Guinea

China vs Papua New Guinea: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Papua New Guinea, by 208.6 nights, or 6.03 times that in China.

nights a year · CMIP6

China vs Papua New Guinea: Tropical nightsTropical nights in 2014: 41.5 nights in China and 250 nights in Papua New Guinea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Papua New Guinea, by 208.6 nights, or 6.03 times that in China.
ChinaPapua New GuineaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Papua New Guinea 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 Papua New Guinea at 276.3 nights in 2100.

Every year

nights a year · CMIP6

YearChinaPapua New Guinea
201441.5250
201341.7250.3
201240.8248.7
201140.2247
201040.5249.1
200939.5247.8
200839.2246.9
200738.7246.6
200639.5247
200539.5247.2
200439.7247
200338.5245.9
200238.8245.6
200139.5246.5
200038.6245.9
199938.5244.8
199837.6243.9
199737.1243
199636.6241.9
199535.1241.6
199434.9239.6
199333.2236.8
199232.3235
199135.9242.1
199036.4242.7
198936.1240.3
198835.1241.3
198734.5240.8
198634241.1
198533.5238.2
198433.4238.3
198331.5236
198234.1239.7
198134.2239.4
198034.3239.4
197933.8238.9
197834.8237.6
197733.3238.1
197632.7235.2
197533.1237.6
197433.3236.9
197333.1238.1
197232.6236.3
197133236.9
197032.4234.7
196933.4235.9
196832.8235.4
196733.4234.7
196633.4235.3
196532.5233.5
196432.1232
196334.5232.3
196234237.1
196134.6237.7
196034.1238.1
195934237.5
195835238.5
195734.4236.1
195634.6236.9
195534.2237.6
195434.2235.9
195334.3236.5
195234.3237.1
195135.1237.2
195034.9236.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaPapua New Guinea
201542.334.8–49.8251.6240.9–257.9
201642.134.4–50250.8241.6–258.7
201743.135.3–51.6251.6240–258.6
201842.335.5–49.5252240.2–258.8
201943.836.5–51.1252.2242–259.7
202043.736.8–51.1253.8242.9–261.3
202144.136–52.1253242.7–259.2
202244.737.5–52.7254.2242.9–261.3
202345.737.8–53.4254243.4–262
202445.738.1–54256246.5–263.4
202546.337.5–54.8254.9244.4–263.6
202646.237.6–55.5255.8245–263.7
202746.138–54.9255.6245.6–262.9
202846.438.4–54.3256.2246.5–264.2
202946.939.1–55.6257.9248.1–265.4
203047.138.8–55.3256.8246.2–264.3
20314738.8–56256.4246–263.8
203248.339.3–57.4258.6247.9–267.7
203347.939.7–56.6259.5248.8–266.1
203448.440.5–57.3257.9248.2–265.2
203549.740.8–58.6259.4250–270
20364940.1–58.2259.6249.8–268.4
20374941.2–57.6259.4249.3–267.6
203850.542.4–59.3261.1251.9–268.7
203949.641.2–59.2261.6251.5–268.3
204050.942.4–60.4260.6250–271.3
204151.342.5–61.1262.1250.9–271.1
204251.642–61.5261.7251.3–271.2
204350.742.7–61261.4250.7–270.1
204451.942.4–61.9263.5253.3–271.6
204551.542.8–61.1263.7252.3–272.6
20465343.7–62.7264251.2–272.4
204753.544.5–62.5264.7253.1–274.1
204853.144–62.6263.6253.4–273.3
204952.843.8–63.3265.6254.3–275.8
205053.644.4–63.8266.3254.6–275.6
205154.345.1–64.8265254–276.5
205253.444.6–63.2266.5255.1–275.9
205354.244.2–64.2265.5254.3–277.2
205454.545.3–64.8265.6255–277.3
20555545.1–65.8266.9255.8–278.4
205655.245.1–66.6267.6256.1–278.5
205754.844.9–65.7267.1254.9–278
205855.145.8–67.7267.4255.2–278.8
205955.345.1–67.2267.5255.8–278.8
206057.246.9–68.1270.4257.3–280.1
206156.546.6–66.3268.7257–278.3
206256.846.9–68.5268.3254.5–281.2
206357.247.2–68.6268.6256.4–281.7
20645747.1–67.7269.5257–281.3
206557.347.1–67.8269.1257.2–280.5
206657.347.9–68.7270258.8–282.1
206757.546.4–68.2270256.7–281.9
206858.748.5–70.5271.1256.2–283.4
206958.548.4–69271.8258.6–282.9
20705847.6–71.7270.7257–281.1
207159.347.4–71.6273.3258.5–284.9
207259.248.1–71.5271.3257.7–282.6
207359.849.1–70.9272.6259.4–284
207459.648.7–71.1272.8258.8–285.6
207558.748.3–71.4273.1258.5–284.4
207660.249–70.9272.6258.9–282.9
207760.851.1–72.4273.4259.5–285.8
207859.648.8–72.4273.5260.4–284.1
207960.750.1–72.6273.1259.6–285.6
208059.950–72.3274.1260.6–286.6
208160.950–73.2274.1260.6–286.9
20826149.8–73.3274.2259.8–283.7
208361.251.2–73.6275.7261.4–286.9
208461.749.7–74.6275.1261.3–286.7
208561.250.8–75.2275260.2–287.9
208661.648.9–74.5275.4262.7–287.1
208761.650.6–75273.4261–287.5
208862.750.5–77.1276.5262.7–287
208961.950–75.2275.4261.5–288.4
209062.551.4–73.7274.9261.9–288.4
209163.852–75.7276.8260.9–289.4
209263.251.2–75.1276.8262.1–288.4
209363.252–75.4275.4262.9–290.1
20946351.1–76.3276.9262.2–288.1
209563.952.8–76.4277261.9–287.5
209663.852.2–76.8276261.9–293
209762.750.7–75.1274.9261.5–288.8
209863.451.2–76.8276.6261.6–289.1
209963.851.9–76.1276.9261.8–290.6
210063.351.7–76.2276.3261.4–287.1

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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