Germany vs Nigeria

Germany vs Nigeria: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 303.1 nights, or 370 times that in Germany.

nights a year · CMIP6

Germany vs Nigeria: Tropical nightsTropical nights in 2014: 0.8 nights in Germany and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 303.1 nights, or 370 times that in Germany.
GermanyNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearGermanyNigeria
20140.8303.9
20130.7299.5
20120.9304.4
20110.5301.5
20100.9301.4
20090.5297.8
20080.2297.4
20070.3298
20060.3297.2
20050.6295.4
20040.7294.1
20030.6298.4
20020.2295.2
20010.5299.1
20000.2293.9
19990.2290.3
19980.1289.9
19970.1292.5
19960.2290
19950.1289.1
19940287.4
19930284
19920281.6
19910.1289.1
19900.1290.6
19890.1287.2
19880288
19870285.6
19860289.1
19850.1284.2
19840.1284.4
19830281.9
19820283.5
19810286.4
19800282.8
19790283
19780.1282.8
19770285.9
19760281.7
19750280.4
19740.1280.7
19730284.3
19720284.1
19710279.3
19700.1282
19690278.7
19680279.6
19670278.1
19660279.4
19650279
19640276.8
19630275.1
19620284.1
19610281.9
19600285.9
19590.1282.8
19580281.4
19570283.3
19560280.8
19550280.4
19540.1284.1
19530280.4
19520280.8
19510284.2
19500279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanyNigeria
20150.50–4301.7282.9–317.3
20160.80–4.3301.4280.8–312.5
20170.70–5.1302.5284.3–316.3
20180.70–3.5302.2286.8–316.5
20191.20–5300.1281.2–318
20201.20–5.7303283.7–318.5
202110–6305.1287.1–318.4
20221.40–5.7305.1286–319.5
20231.10–5.7305286.4–318.9
20241.20–5.2310.6295.1–321.5
20251.90–8.2307.5292–319.4
20261.90.1–6.5306.9286.1–322.9
20271.40–4.7307.4288–321.7
20281.50.1–5.5310.7293.4–322.6
202920.1–6.4311.4293.3–324.4
20301.60–6.1310.6294.1–322.5
20311.40–5.4312.2295–324.8
20321.50.1–7.6310290–323.5
20331.70–6.8313292.9–327
20342.10.2–8.3311.7294.8–325.1
20351.70.1–6.9314.5296.7–327.7
20362.80.1–7.8313.5294.1–326.5
20372.50–9.2315.6297.9–327.1
20382.20.1–9.7316.9301.2–329.6
203930–8.9315.4299.4–328.2
20402.30.1–7.1315.6297.9–327.4
20412.40.1–7.9316.8300.6–330.2
20422.90.4–8.9316.3300.3–330.3
20433.10.1–8.7316298.4–326
20443.10.2–10.1317.9299.5–329.6
204530.1–8.7316.6300.5–330.4
20463.10.5–10.9317.8302.2–330.7
20474.30.3–10.6319.8301.5–333
20483.70.2–12.9320.1302.4–331.7
20494.40.2–11.8320.7305.3–331.7
20503.10.6–9.3320.9304–335
20512.70.1–9.5321304.1–334.2
20523.60.2–11.5320.9303.9–333.5
20532.30.4–8.7320.9303.3–334.1
20543.50.4–10.3324.5304.5–338.2
20553.30.4–11.3322.2308.4–333.7
20564.50.7–14.3324.8305.8–336.3
205740.4–11.3326310.8–337.3
20585.80.7–15.5322.9307.4–334.2
20595.10.1–15.6325.7308.9–339
20604.40.6–12.3323.8307.5–337
20615.31–12.3324.4307.1–338.2
20625.51.6–14.2325.7308–339.3
20635.20.8–13.8326.6308.7–337
20644.10.5–12.2326.2311–339.8
20654.90.3–15.8327.6313.5–339.4
20665.30.7–11.8328.4311.3–339.6
20677.21.4–17.5326308.4–340.5
20683.90.9–11.3329.3311.2–342.9
20696.11.6–15326.6309.9–338.1
20705.80.6–14.9327.4312.6–340.7
20716.30.6–16.4329.1313–341.1
20726.21.9–13330.3315.9–342.1
20735.51.3–16.2326.3309.5–341
20745.50.5–16.7326.7311.4–341.4
20756.21.4–18.3328.9314.5–341.8
20767.41.1–20.1329.6313.4–342
20776.31.1–17.4332.5314.4–343.3
20786.50.7–21.4329.8312.8–342.1
20796.70.6–22.7329.6313.8–340.6
20806.51.2–14.9331.7314.1–344.8
20816.60.9–18.5329.3311.6–343.7
20827.91.4–22.5329.3313.3–341.4
20837.61.3–16.8330.4315–342.2
20845.91.1–15.9330.5311.9–344.2
20856.50.9–17.6332.7316.6–343.6
20867.90.8–23331.9316.3–343.6
20879.91.1–24.1330.7314.9–342.4
20888.92–18.4331.7313.2–342.7
20898.31.9–19.2331.1318.3–341.9
20906.20.8–24.1332.4312.7–343.9
20919.31.3–23.5333.3311–345.8
20928.61.7–19.2332.7313.8–345.7
20936.20.8–18.2334.2318.6–344.9
20949.32.4–20.4334.2317.3–345.6
20959.51.1–24333.8319.3–346.3
20968.10.2–21.4332.5317.4–346.7
20976.40.5–20.1331.8312.6–344.6
20989.31.4–22.1332.3316–343.7
20998.11.4–20.8333316.9–344.2
21008.81.9–21.1332.3318.5–345

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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