Germany vs Sudan

Germany vs Sudan: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 241.6 nights, or 300 times that in Germany.

nights a year · CMIP6

Germany vs Sudan: Tropical nightsTropical nights in 2014: 0.8 nights in Germany and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 241.6 nights, or 300 times that in Germany.
GermanySudanCMIP6 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 Germany at 8.8 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearGermanySudan
20140.8242.4
20130.7240
20120.9242
20110.5242.2
20100.9240.6
20090.5236.5
20080.2237.1
20070.3236
20060.3235.3
20050.6233.1
20040.7233.5
20030.6235.6
20020.2234.7
20010.5235.4
20000.2230.5
19990.2232.1
19980.1230.2
19970.1231.1
19960.2227.3
19950.1227.8
19940225.3
19930219.1
19920217.8
19910.1227.3
19900.1227.5
19890.1223
19880223.1
19870224.4
19860226.4
19850.1222.1
19840.1220.7
19830217
19820216.3
19810223.2
19800220
19790218.4
19780.1218.5
19770219.3
19760220.1
19750215.7
19740.1217.5
19730220
19720217.9
19710215.5
19700.1217
19690213.1
19680214
19670210.3
19660213.3
19650213.4
19640213.2
19630210.1
19620217
19610216.9
19600221.3
19590.1217.8
19580216.2
19570218.9
19560217.2
19550216.6
19540.1218.9
19530215.1
19520216.4
19510218.5
19500214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanySudan
20150.50–4242.3225.3–258.3
20160.80–4.3241.4223.3–254.1
20170.70–5.1243.2223–259.1
20180.70–3.5242.3226.4–258.5
20191.20–5243.1221.7–260.4
20201.20–5.7244.9225.9–261.7
202110–6245.6229.1–261.5
20221.40–5.7249230.9–262.3
20231.10–5.7247.1226.8–263.1
20241.20–5.2251.5232.8–266.1
20251.90–8.2250.7232.4–265.6
20261.90.1–6.5250230.8–266.6
20271.40–4.7248.8228.4–265.6
20281.50.1–5.5249232.2–263.1
202920.1–6.4251.4232.1–266
20301.60–6.1252235.4–266.7
20311.40–5.4253.3234.4–268.9
20321.50.1–7.6250.4232.3–266.6
20331.70–6.8254.4235.3–269.4
20342.10.2–8.3254.2234.5–269.9
20351.70.1–6.9258.3240.2–273.6
20362.80.1–7.8252.8235.6–268.6
20372.50–9.2256.7238.6–271.8
20382.20.1–9.7258.7244.8–272.1
203930–8.9259.5241.2–272.5
20402.30.1–7.1256.4236.7–272.3
20412.40.1–7.9259.1241.2–274.5
20422.90.4–8.9258.7242–274.7
20433.10.1–8.7258.1240.3–272.6
20443.10.2–10.1257.3238.6–274.7
204530.1–8.7258.8243.1–276.2
20463.10.5–10.9261.1241.7–277.6
20474.30.3–10.6261.4244.6–278.4
20483.70.2–12.9260.4243.4–279.5
20494.40.2–11.8261.9242.6–275.9
20503.10.6–9.3263.5245.4–279
20512.70.1–9.5263.6246.6–278.8
20523.60.2–11.5263.8248.7–278.3
20532.30.4–8.7262.8242.4–279.2
20543.50.4–10.3266.3246.6–282.9
20553.30.4–11.3265.6245.9–281.4
20564.50.7–14.3264.1242.6–281.5
205740.4–11.3266.4247.6–283.4
20585.80.7–15.5265.2247.4–280.3
20595.10.1–15.6268.4249.6–285.4
20604.40.6–12.3263.6246.7–284.4
20615.31–12.3266.9250.1–281.9
20625.51.6–14.2266.4248.5–285
20635.20.8–13.8267.1246.9–283.4
20644.10.5–12.2269250.7–284.7
20654.90.3–15.8269.8253.9–285.6
20665.30.7–11.8271.4251.9–287.3
20677.21.4–17.5270.9250–288.4
20683.90.9–11.3271.9251.7–289.8
20696.11.6–15268251.1–286.2
20705.80.6–14.9269252.3–285.8
20716.30.6–16.4275.5254.1–290.4
20726.21.9–13273.3254.2–289.4
20735.51.3–16.2271.9250.7–287.6
20745.50.5–16.7270.9249–290.1
20756.21.4–18.3273.1254–291.9
20767.41.1–20.1272.7255.2–290.9
20776.31.1–17.4274.6255.2–292.7
20786.50.7–21.4274.3255.6–291.2
20796.70.6–22.7272255.2–288.5
20806.51.2–14.9276.6256–292.2
20816.60.9–18.5275.1254.1–294.8
20827.91.4–22.5272.9258.7–288.6
20837.61.3–16.8276.5258–291.7
20845.91.1–15.9275.4253–294.9
20856.50.9–17.6275.3258.6–291.6
20867.90.8–23276.4256.9–296.6
20879.91.1–24.1273.5253.1–293.3
20888.92–18.4273.6253.7–293.6
20898.31.9–19.2276.5256.6–293.4
20906.20.8–24.1276.6256.4–294.6
20919.31.3–23.5277.4256.4–296.6
20928.61.7–19.2274.6254.3–294.9
20936.20.8–18.2278261.9–292.1
20949.32.4–20.4280.3262.2–294
20959.51.1–24277.5262.6–294
20968.10.2–21.4279.7258.7–297
20976.40.5–20.1276.3254.1–297.6
20989.31.4–22.1277.7258.2–295.5
20998.11.4–20.8276.8257.2–296.2
21008.81.9–21.1278.6259–294.3

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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