France vs Nigeria

France vs Nigeria: Tropical nights

Tropical nights in 2014: 3.1 nights in France and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 300.8 nights, or 99 times that in France.

nights a year · CMIP6

France vs Nigeria: Tropical nightsTropical nights in 2014: 3.1 nights in France and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 300.8 nights, or 99 times that in France.
FranceNigeriaCMIP6 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 France at 19.2 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearFranceNigeria
20143.1303.9
20133.1299.5
20122.9304.4
20112.7301.5
20103.9301.4
20092.5297.8
20082.4297.4
20072.1298
20062.6297.2
20052.9295.4
20042.7294.1
20032.6298.4
20021.8295.2
20012.3299.1
20001.8293.9
19992.1290.3
19981.5289.9
19971.6292.5
19961.5290
19951.3289.1
19941.5287.4
19931.1284
19921281.6
19911.8289.1
19901.9290.6
19891.2287.2
19881.2288
19871.3285.6
19860.9289.1
19850.9284.2
19841.1284.4
19831.1281.9
19821283.5
19811.1286.4
19801.2282.8
19790.9283
19781.3282.8
19770.9285.9
19760.8281.7
19750.9280.4
19741.2280.7
19730.9284.3
19720.9284.1
19711279.3
19700.9282
19691278.7
19680.9279.6
19670.8278.1
19660.8279.4
19650.7279
19641276.8
19630.9275.1
19621.1284.1
19610.9281.9
19601.1285.9
19591.2282.8
19581281.4
19571283.3
19561.2280.8
19551.1280.4
19541.3284.1
19531280.4
19521.3280.8
19511.1284.2
19501.2279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearFranceNigeria
20153.61.5–8.6301.7282.9–317.3
20164.11.5–9.9301.4280.8–312.5
20173.51.3–10.2302.5284.3–316.3
20183.91.7–10.8302.2286.8–316.5
20194.51.6–9300.1281.2–318
20204.11.6–10.5303283.7–318.5
20214.51.3–13.2305.1287.1–318.4
202251.5–12.5305.1286–319.5
20234.81.6–12.5305286.4–318.9
20245.51.8–11.2310.6295.1–321.5
20255.81.5–12.1307.5292–319.4
20266.22.1–12.7306.9286.1–322.9
20275.41.7–11.2307.4288–321.7
20285.91.7–13.3310.7293.4–322.6
20296.31.9–12.6311.4293.3–324.4
20305.82.1–11.9310.6294.1–322.5
20315.92–11.8312.2295–324.8
20325.92.7–12.9310290–323.5
203372.5–13.6313292.9–327
20347.92.4–17.3311.7294.8–325.1
20356.92.4–14.4314.5296.7–327.7
20367.32.6–14.6313.5294.1–326.5
20377.32.6–13.3315.6297.9–327.1
20386.53–15.1316.9301.2–329.6
20396.92.6–14.3315.4299.4–328.2
20407.72.3–16315.6297.9–327.4
20418.12.6–15.2316.8300.6–330.2
20426.93–16316.3300.3–330.3
20437.92.8–15.6316298.4–326
20447.93.1–16.6317.9299.5–329.6
20459.23.2–19.6316.6300.5–330.4
20468.93.2–17.6317.8302.2–330.7
20479.74–19.2319.8301.5–333
20489.13.4–17320.1302.4–331.7
204910.13.7–20.8320.7305.3–331.7
205010.94.8–18.9320.9304–335
20519.23.5–18.4321304.1–334.2
2052103.4–21.2320.9303.9–333.5
20538.73.8–18320.9303.3–334.1
20549.74.4–19.2324.5304.5–338.2
20559.93.9–17.2322.2308.4–333.7
2056114.3–21.8324.8305.8–336.3
205710.94.2–19.8326310.8–337.3
205813.85.1–25.7322.9307.4–334.2
205911.23.3–25325.7308.9–339
206012.86.1–22323.8307.5–337
206112.64.7–23.2324.4307.1–338.2
206212.36.2–22.4325.7308–339.3
2063125.2–24.9326.6308.7–337
2064125.3–21.6326.2311–339.8
206512.53.9–30.8327.6313.5–339.4
206611.55.3–22.1328.4311.3–339.6
206718.38.1–33.3326308.4–340.5
2068135.4–23.4329.3311.2–342.9
206915.65.7–25.5326.6309.9–338.1
207013.55.2–29.1327.4312.6–340.7
2071154.4–30.2329.1313–341.1
207215.57.4–26330.3315.9–342.1
207313.96–29.1326.3309.5–341
207412.84.3–27.3326.7311.4–341.4
207513.96.3–25.6328.9314.5–341.8
2076166.1–33.8329.6313.4–342
207713.25–29.8332.5314.4–343.3
207813.75.1–33.6329.8312.8–342.1
207912.95.3–28.4329.6313.8–340.6
208014.45.4–27.9331.7314.1–344.8
208115.15.8–29.8329.3311.6–343.7
208216.46.1–33.9329.3313.3–341.4
208315.97.9–32330.4315–342.2
208414.16.6–27.7330.5311.9–344.2
208516.57.3–30.2332.7316.6–343.6
208619.55.5–32.4331.9316.3–343.6
2087196.9–38330.7314.9–342.4
208818.47.7–35.2331.7313.2–342.7
20891910.6–29.3331.1318.3–341.9
209016.36.8–33.5332.4312.7–343.9
209119.77.6–32.3333.3311–345.8
209217.36.1–32.7332.7313.8–345.7
2093156.5–29.8334.2318.6–344.9
209418.68.5–32.8334.2317.3–345.6
209519.25.9–38.9333.8319.3–346.3
209619.37.6–35.5332.5317.4–346.7
209717.36.2–36.1331.8312.6–344.6
209818.16.9–36.3332.3316–343.7
209920.37.4–34.6333316.9–344.2
210019.27–36.7332.3318.5–345

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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