China vs Sudan

China vs Sudan: Tropical nights

Tropical nights in 2014: 41.5 nights in China and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 201 nights, or 5.85 times that in China.

nights a year · CMIP6

China vs Sudan: Tropical nightsTropical nights in 2014: 41.5 nights in China and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 201 nights, or 5.85 times that in China.
ChinaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearChinaSudan
201441.5242.4
201341.7240
201240.8242
201140.2242.2
201040.5240.6
200939.5236.5
200839.2237.1
200738.7236
200639.5235.3
200539.5233.1
200439.7233.5
200338.5235.6
200238.8234.7
200139.5235.4
200038.6230.5
199938.5232.1
199837.6230.2
199737.1231.1
199636.6227.3
199535.1227.8
199434.9225.3
199333.2219.1
199232.3217.8
199135.9227.3
199036.4227.5
198936.1223
198835.1223.1
198734.5224.4
198634226.4
198533.5222.1
198433.4220.7
198331.5217
198234.1216.3
198134.2223.2
198034.3220
197933.8218.4
197834.8218.5
197733.3219.3
197632.7220.1
197533.1215.7
197433.3217.5
197333.1220
197232.6217.9
197133215.5
197032.4217
196933.4213.1
196832.8214
196733.4210.3
196633.4213.3
196532.5213.4
196432.1213.2
196334.5210.1
196234217
196134.6216.9
196034.1221.3
195934217.8
195835216.2
195734.4218.9
195634.6217.2
195534.2216.6
195434.2218.9
195334.3215.1
195234.3216.4
195135.1218.5
195034.9214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChinaSudan
201542.334.8–49.8242.3225.3–258.3
201642.134.4–50241.4223.3–254.1
201743.135.3–51.6243.2223–259.1
201842.335.5–49.5242.3226.4–258.5
201943.836.5–51.1243.1221.7–260.4
202043.736.8–51.1244.9225.9–261.7
202144.136–52.1245.6229.1–261.5
202244.737.5–52.7249230.9–262.3
202345.737.8–53.4247.1226.8–263.1
202445.738.1–54251.5232.8–266.1
202546.337.5–54.8250.7232.4–265.6
202646.237.6–55.5250230.8–266.6
202746.138–54.9248.8228.4–265.6
202846.438.4–54.3249232.2–263.1
202946.939.1–55.6251.4232.1–266
203047.138.8–55.3252235.4–266.7
20314738.8–56253.3234.4–268.9
203248.339.3–57.4250.4232.3–266.6
203347.939.7–56.6254.4235.3–269.4
203448.440.5–57.3254.2234.5–269.9
203549.740.8–58.6258.3240.2–273.6
20364940.1–58.2252.8235.6–268.6
20374941.2–57.6256.7238.6–271.8
203850.542.4–59.3258.7244.8–272.1
203949.641.2–59.2259.5241.2–272.5
204050.942.4–60.4256.4236.7–272.3
204151.342.5–61.1259.1241.2–274.5
204251.642–61.5258.7242–274.7
204350.742.7–61258.1240.3–272.6
204451.942.4–61.9257.3238.6–274.7
204551.542.8–61.1258.8243.1–276.2
20465343.7–62.7261.1241.7–277.6
204753.544.5–62.5261.4244.6–278.4
204853.144–62.6260.4243.4–279.5
204952.843.8–63.3261.9242.6–275.9
205053.644.4–63.8263.5245.4–279
205154.345.1–64.8263.6246.6–278.8
205253.444.6–63.2263.8248.7–278.3
205354.244.2–64.2262.8242.4–279.2
205454.545.3–64.8266.3246.6–282.9
20555545.1–65.8265.6245.9–281.4
205655.245.1–66.6264.1242.6–281.5
205754.844.9–65.7266.4247.6–283.4
205855.145.8–67.7265.2247.4–280.3
205955.345.1–67.2268.4249.6–285.4
206057.246.9–68.1263.6246.7–284.4
206156.546.6–66.3266.9250.1–281.9
206256.846.9–68.5266.4248.5–285
206357.247.2–68.6267.1246.9–283.4
20645747.1–67.7269250.7–284.7
206557.347.1–67.8269.8253.9–285.6
206657.347.9–68.7271.4251.9–287.3
206757.546.4–68.2270.9250–288.4
206858.748.5–70.5271.9251.7–289.8
206958.548.4–69268251.1–286.2
20705847.6–71.7269252.3–285.8
207159.347.4–71.6275.5254.1–290.4
207259.248.1–71.5273.3254.2–289.4
207359.849.1–70.9271.9250.7–287.6
207459.648.7–71.1270.9249–290.1
207558.748.3–71.4273.1254–291.9
207660.249–70.9272.7255.2–290.9
207760.851.1–72.4274.6255.2–292.7
207859.648.8–72.4274.3255.6–291.2
207960.750.1–72.6272255.2–288.5
208059.950–72.3276.6256–292.2
208160.950–73.2275.1254.1–294.8
20826149.8–73.3272.9258.7–288.6
208361.251.2–73.6276.5258–291.7
208461.749.7–74.6275.4253–294.9
208561.250.8–75.2275.3258.6–291.6
208661.648.9–74.5276.4256.9–296.6
208761.650.6–75273.5253.1–293.3
208862.750.5–77.1273.6253.7–293.6
208961.950–75.2276.5256.6–293.4
209062.551.4–73.7276.6256.4–294.6
209163.852–75.7277.4256.4–296.6
209263.251.2–75.1274.6254.3–294.9
209363.252–75.4278261.9–292.1
20946351.1–76.3280.3262.2–294
209563.952.8–76.4277.5262.6–294
209663.852.2–76.8279.7258.7–297
209762.750.7–75.1276.3254.1–297.6
209863.451.2–76.8277.7258.2–295.5
209963.851.9–76.1276.8257.2–296.2
210063.351.7–76.2278.6259–294.3

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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