Italy vs Nigeria

Italy vs Nigeria: Tropical nights

Tropical nights in 2014: 26.3 nights in Italy and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 277.6 nights, or 12 times that in Italy.

nights a year · CMIP6

Italy vs Nigeria: Tropical nightsTropical nights in 2014: 26.3 nights in Italy and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 277.6 nights, or 12 times that in Italy.
ItalyNigeriaCMIP6 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 Italy at 65.1 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearItalyNigeria
201426.3303.9
201324.7299.5
201224.8304.4
201124.6301.5
201027.1301.4
200923.7297.8
200824.1297.4
200721.5298
200624.6297.2
200522.5295.4
200424.5294.1
200323.8298.4
200220.6295.2
200120.8299.1
200021.7293.9
199920.3290.3
199818.9289.9
199718.9292.5
199618.9290
199517.9289.1
199417.4287.4
199316.3284
199215.1281.6
199118289.1
199018.2290.6
198916.6287.2
198815.5288
198716285.6
198615289.1
198514.5284.2
198415.7284.4
198315.3281.9
198214.1283.5
198115.3286.4
198015.9282.8
197914.5283
197816.5282.8
197713.5285.9
197613.8281.7
197514280.4
197414.8280.7
197313.5284.3
197213.7284.1
197115.3279.3
197014282
196914.5278.7
196813.8279.6
196713.6278.1
196613.2279.4
196512.8279
196413.2276.8
196314.2275.1
196215.5284.1
196113.9281.9
196014.9285.9
195916.6282.8
195814.4281.4
195715.5283.3
195616.7280.8
195516.6280.4
195415.7284.1
195315.4280.4
195216.6280.8
195116284.2
195015.3279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearItalyNigeria
20153021.7–40.4301.7282.9–317.3
201629.618–42.2301.4280.8–312.5
201731.820.2–43.7302.5284.3–316.3
20183122–44.3302.2286.8–316.5
201931.521.3–43.2300.1281.2–318
202031.619.7–44.3303283.7–318.5
20213420.8–46.9305.1287.1–318.4
202237.121.3–50.6305.1286–319.5
202333.121.3–47.4305286.4–318.9
202435.521.6–48.4310.6295.1–321.5
202537.720.5–51.1307.5292–319.4
202638.926.6–52.2306.9286.1–322.9
202734.322.4–49.7307.4288–321.7
202837.724.4–53.1310.7293.4–322.6
202937.824.9–55311.4293.3–324.4
203037.925.7–54.7310.6294.1–322.5
203137.223.8–51312.2295–324.8
203239.226.2–53.8310290–323.5
203340.426–50.3313292.9–327
203442.525.1–57.2311.7294.8–325.1
203542.728.9–58.3314.5296.7–327.7
203641.127.7–59.9313.5294.1–326.5
20374328.1–54.8315.6297.9–327.1
203841.628.5–61.3316.9301.2–329.6
20394129.4–56.4315.4299.4–328.2
204042.428.1–59.1315.6297.9–327.4
204141.927.2–58.7316.8300.6–330.2
204243.529.6–59316.3300.3–330.3
20434528.7–59.5316298.4–326
204444.929.4–59.9317.9299.5–329.6
204545.230.3–59.2316.6300.5–330.4
20464627.3–62.4317.8302.2–330.7
204749.132.4–63.6319.8301.5–333
204846.228.3–65.7320.1302.4–331.7
204948.229.5–65.7320.7305.3–331.7
205049.536.4–64.4320.9304–335
205148.831.6–68.3321304.1–334.2
205250.330.9–68.1320.9303.9–333.5
205348.235.9–67320.9303.3–334.1
205449.435.3–66.1324.5304.5–338.2
205552.233.7–67.7322.2308.4–333.7
205650.836.2–71.6324.8305.8–336.3
205750.232.8–65.6326310.8–337.3
205855.337.5–70.8322.9307.4–334.2
205951.934.5–74.1325.7308.9–339
206052.938.2–68.1323.8307.5–337
206154.338.3–69.8324.4307.1–338.2
206253.936.9–69325.7308–339.3
206356.437.6–72.1326.6308.7–337
206455.938.5–71.3326.2311–339.8
20655537.3–73.3327.6313.5–339.4
206653.935.8–73.8328.4311.3–339.6
206761.141.2–76.6326308.4–340.5
206856.241.7–73329.3311.2–342.9
206958.741.8–73326.6309.9–338.1
207055.738.9–74.4327.4312.6–340.7
207159.637.8–76.6329.1313–341.1
207259.643.5–74.6330.3315.9–342.1
207356.939.4–71.6326.3309.5–341
207454.836.7–73.7326.7311.4–341.4
207556.941.8–75.4328.9314.5–341.8
207659.941.9–77.7329.6313.4–342
207757.437.9–74.1332.5314.4–343.3
207860.540.5–80.7329.8312.8–342.1
207960.637.1–83.3329.6313.8–340.6
208059.743.1–78331.7314.1–344.8
20815943.7–78.9329.3311.6–343.7
208263.945.5–80.2329.3313.3–341.4
208360.842–79.7330.4315–342.2
208462.547.3–82.1330.5311.9–344.2
208565.246.3–79332.7316.6–343.6
208664.445.6–80.1331.9316.3–343.6
208763.743.8–84330.7314.9–342.4
208867.247.4–84.4331.7313.2–342.7
208964.546–82.9331.1318.3–341.9
209065.842.8–80.5332.4312.7–343.9
209166.745.3–84.7333.3311–345.8
209264.838.5–82.3332.7313.8–345.7
209363.644.7–83334.2318.6–344.9
209462.445–82334.2317.3–345.6
20956643.6–83.5333.8319.3–346.3
20966542.9–85.8332.5317.4–346.7
209765.844.9–84.4331.8312.6–344.6
209864.647.9–84.2332.3316–343.7
209967.742.2–81.9333316.9–344.2
210065.142.5–83.2332.3318.5–345

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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