South Korea vs Sudan

South Korea vs Sudan: Tropical nights

Tropical nights in 2014: 68.9 nights in South Korea and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 173.5 nights, or 3.52 times that in South Korea.

nights a year · CMIP6

South Korea vs Sudan: Tropical nightsTropical nights in 2014: 68.9 nights in South Korea and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 173.5 nights, or 3.52 times that in South Korea.
South KoreaSudanCMIP6 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 South Korea at 96.3 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearSouth KoreaSudan
201468.9242.4
201369.7240
201267.7242
201165.3242.2
201068.3240.6
200965.8236.5
200863.7237.1
200764.2236
200664.8235.3
200565.1233.1
200466.8233.5
200363.2235.6
200263.3234.7
200163.4235.4
200061.7230.5
199964.2232.1
199860.7230.2
199760.4231.1
199661.2227.3
199555.2227.8
199454.8225.3
199349.2219.1
199250.7217.8
199156.9227.3
199058.8227.5
198958.7223
198855.6223.1
198752.6224.4
198651.4226.4
198553.1222.1
198450.4220.7
198346.8217
198254216.3
198153.9223.2
198051.6220
197952.6218.4
197856.4218.5
197751.8219.3
197652.8220.1
197554.6215.7
197452.7217.5
197350.4220
197251.8217.9
197149.7215.5
197050.4217
196955.2213.1
196851.7214
196757.3210.3
196652.9213.3
196552.8213.4
196452.2213.2
196357.9210.1
196253.3217
196158.2216.9
196055.2221.3
195954.8217.8
195856216.2
195755.8218.9
195659.1217.2
195555.7216.6
195454218.9
195355.4215.1
195257216.4
195154.7218.5
195059.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth KoreaSudan
201568.656.8–82242.3225.3–258.3
201670.353.5–81.8241.4223.3–254.1
201770.559.5–82.9243.2223–259.1
201869.156.9–81.2242.3226.4–258.5
201974.663.1–84.4243.1221.7–260.4
20207157.6–83244.9225.9–261.7
202170.252.7–84.1245.6229.1–261.5
202272.563–81.2249230.9–262.3
202374.563.2–84.2247.1226.8–263.1
202473.558.6–87.1251.5232.8–266.1
202575.762.3–87.1250.7232.4–265.6
20267564–88.4250230.8–266.6
202774.163.4–88.9248.8228.4–265.6
202877.361.5–87.9249232.2–263.1
202975.463.1–86.7251.4232.1–266
203075.364.5–87.6252235.4–266.7
203176.763.6–87.3253.3234.4–268.9
203276.761–89.2250.4232.3–266.6
203378.860–92.7254.4235.3–269.4
203477.264.7–87.2254.2234.5–269.9
20358168.9–92.1258.3240.2–273.6
203681.964.1–95252.8235.6–268.6
203778.465.8–89.3256.7238.6–271.8
203878.866.9–89.4258.7244.8–272.1
203977.564.7–89.2259.5241.2–272.5
204080.567.4–92.7256.4236.7–272.3
204180.966.4–97.7259.1241.2–274.5
204282.469.1–95258.7242–274.7
204383.268.5–97.9258.1240.3–272.6
204483.169.3–91.6257.3238.6–274.7
20458170.4–92.2258.8243.1–276.2
20468668.3–95.2261.1241.7–277.6
204783.469.7–96.7261.4244.6–278.4
204882.769.2–95.2260.4243.4–279.5
204981.669–96.8261.9242.6–275.9
205081.569.8–93.8263.5245.4–279
205184.572.7–98.8263.6246.6–278.8
205283.167.8–98.5263.8248.7–278.3
205386.969.8–98.1262.8242.4–279.2
205484.773.3–97.5266.3246.6–282.9
205586.570.8–101.3265.6245.9–281.4
205685.874.5–99.8264.1242.6–281.5
205787.976.1–100.7266.4247.6–283.4
205886.275.2–99.4265.2247.4–280.3
205986.766.9–100.4268.4249.6–285.4
206086.371.9–101.9263.6246.7–284.4
20618974.8–99.5266.9250.1–281.9
206287.772.3–102.2266.4248.5–285
206386.774.6–101.2267.1246.9–283.4
206486.673.6–100.3269250.7–284.7
206591.575.3–102.2269.8253.9–285.6
206689.272.6–100.5271.4251.9–287.3
206790.372.7–102.6270.9250–288.4
206890.473.8–106.4271.9251.7–289.8
20699174.5–102.5268251.1–286.2
207089.774.6–107269252.3–285.8
207192.674.9–107.9275.5254.1–290.4
207290.976.6–103.9273.3254.2–289.4
207391.376.2–104271.9250.7–287.6
207491.974.6–107270.9249–290.1
207594.576.4–103.7273.1254–291.9
207693.477.5–105.6272.7255.2–290.9
207795.776.3–107.2274.6255.2–292.7
207893.576.9–110.5274.3255.6–291.2
207991.179.2–105.7272255.2–288.5
208092.481.7–107.1276.6256–292.2
208193.878–108.8275.1254.1–294.8
208296.279.9–110.1272.9258.7–288.6
208394.481.1–108276.5258–291.7
208491.574.4–107.3275.4253–294.9
20859481.4–107.4275.3258.6–291.6
208693.678.5–111.5276.4256.9–296.6
208794.480.9–113.5273.5253.1–293.3
208893.779.8–108.5273.6253.7–293.6
208994.478.9–107276.5256.6–293.4
209097.979.5–109276.6256.4–294.6
209195.280.6–107.7277.4256.4–296.6
20929580–106.3274.6254.3–294.9
209395.379.5–109.9278261.9–292.1
209492.279.8–111280.3262.2–294
209594.884–112.2277.5262.6–294
2096100.481–113.2279.7258.7–297
209797.278.6–108.8276.3254.1–297.6
209897.479.9–110.4277.7258.2–295.5
209995.879.9–109.3276.8257.2–296.2
210096.381.6–113.8278.6259–294.3

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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