Argentina vs Sudan

Argentina vs Sudan: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 199.8 nights, or 5.68 times that in Argentina.

nights a year · CMIP6

Argentina vs Sudan: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 199.8 nights, or 5.68 times that in Argentina.
ArgentinaSudanCMIP6 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 Argentina at 65.2 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaSudan
201442.6242.4
201341.8240
201241242
201141.5242.2
201040.8240.6
200941.6236.5
200841.4237.1
200739.6236
200639.3235.3
200540.1233.1
200440.6233.5
200338.7235.6
200240.2234.7
200139.5235.4
200039.5230.5
199938.4232.1
199838.8230.2
199738.5231.1
199637227.3
199535.7227.8
199434.7225.3
199334.3219.1
199233.4217.8
199136.8227.3
199036227.5
198937223
198836.9223.1
198736.1224.4
198636.4226.4
198536222.1
198434.7220.7
198335.2217
198235.7216.3
198137.3223.2
198036.3220
197937.5218.4
197835.7218.5
197735.1219.3
197635.7220.1
197534.8215.7
197435.4217.5
197334.1220
197235.5217.9
197134.7215.5
197034.9217
196933.4213.1
196834.6214
196733210.3
196634.3213.3
196532.2213.4
196430.3213.2
196332210.1
196235.2217
196135.6216.9
196035.6221.3
195934.5217.8
195833.3216.2
195735.7218.9
195635217.2
195534.4216.6
195433.6218.9
195335.8215.1
195234.4216.4
195135.4218.5
195033.9214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaSudan
201544.433.5–53.4242.3225.3–258.3
201643.532.4–53.4241.4223.3–254.1
201742.834.2–52.6243.2223–259.1
201842.632.7–52.6242.3226.4–258.5
201943.633.4–53.1243.1221.7–260.4
202045.735.5–57.2244.9225.9–261.7
202145.634.3–56.4245.6229.1–261.5
202244.633.3–56.4249230.9–262.3
202344.934.9–53.9247.1226.8–263.1
202445.834.2–57.5251.5232.8–266.1
202546.536–58.1250.7232.4–265.6
202647.936.7–57250230.8–266.6
202746.434.5–56.3248.8228.4–265.6
202846.133.5–58.5249232.2–263.1
202948.336–58.8251.4232.1–266
203047.835.4–60.3252235.4–266.7
203146.935.5–58.7253.3234.4–268.9
20324837.9–59.7250.4232.3–266.6
203347.436.7–57.6254.4235.3–269.4
203447.837.8–58.9254.2234.5–269.9
203547.339–59258.3240.2–273.6
203648.939.2–58.4252.8235.6–268.6
20375141.2–60.9256.7238.6–271.8
203848.737.9–59.7258.7244.8–272.1
203948.839.1–58.4259.5241.2–272.5
204050.440.4–62.3256.4236.7–272.3
204150.740.4–61.7259.1241.2–274.5
20425037.3–61.1258.7242–274.7
204350.340.5–61258.1240.3–272.6
20445240–65257.3238.6–274.7
204552.441.3–65.6258.8243.1–276.2
204651.941.2–62.7261.1241.7–277.6
204751.542–64261.4244.6–278.4
204854.542.6–65260.4243.4–279.5
204953.942.8–64.9261.9242.6–275.9
205052.543.6–62.4263.5245.4–279
205155.743.3–67.4263.6246.6–278.8
205255.642.2–67263.8248.7–278.3
205355.342.6–67.6262.8242.4–279.2
205454.743–66.7266.3246.6–282.9
205555.942.3–67.2265.6245.9–281.4
205657.642.8–68.6264.1242.6–281.5
205756.842.3–68.7266.4247.6–283.4
205854.841.5–68.1265.2247.4–280.3
205957.844.9–70.3268.4249.6–285.4
206056.943.4–67.9263.6246.7–284.4
206156.542.3–70.6266.9250.1–281.9
206257.345.8–68.5266.4248.5–285
206358.244.6–70.2267.1246.9–283.4
206458.845.8–71.5269250.7–284.7
206558.746–71.1269.8253.9–285.6
206659.947–68.9271.4251.9–287.3
206758.944.8–71.5270.9250–288.4
206857.844.3–70.3271.9251.7–289.8
206959.445.4–70.5268251.1–286.2
207061.348.2–74.3269252.3–285.8
207160.148.7–73.2275.5254.1–290.4
207260.146.7–73.7273.3254.2–289.4
207360.847.6–73.5271.9250.7–287.6
207460.447.6–73.7270.9249–290.1
207561.347.9–73.9273.1254–291.9
207661.146.8–75.8272.7255.2–290.9
207760.647.1–73.1274.6255.2–292.7
207863.449.4–75.6274.3255.6–291.2
207959.948.7–73272255.2–288.5
20806348.1–75.5276.6256–292.2
208161.448.7–73.5275.1254.1–294.8
208261.747.7–75272.9258.7–288.6
208362.148.2–75.6276.5258–291.7
208462.950.3–76275.4253–294.9
20856246.9–76.4275.3258.6–291.6
208662.749.4–76.4276.4256.9–296.6
208761.847.9–74.9273.5253.1–293.3
208864.450.8–77.5273.6253.7–293.6
208962.749.3–76.3276.5256.6–293.4
209064.152.5–77.1276.6256.4–294.6
209164.451.7–78.3277.4256.4–296.6
209265.650.8–78.3274.6254.3–294.9
209362.749.7–76.8278261.9–292.1
209463.950.1–78.5280.3262.2–294
209562.948.8–77.9277.5262.6–294
209664.749.4–78.9279.7258.7–297
209764.552.4–80.1276.3254.1–297.6
209865.652.7–78.7277.7258.2–295.5
209965.249.3–80.2276.8257.2–296.2
210065.250–81.7278.6259–294.3

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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