Japan vs Nigeria

Japan vs Nigeria: Tropical nights

Tropical nights in 2014: 58.6 nights in Japan and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 245.3 nights, or 5.18 times that in Japan.

nights a year · CMIP6

Japan vs Nigeria: Tropical nightsTropical nights in 2014: 58.6 nights in Japan and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 245.3 nights, or 5.18 times that in Japan.
JapanNigeriaCMIP6 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 Japan at 87.7 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearJapanNigeria
201458.6303.9
201359.9299.5
201259.3304.4
201157.9301.5
201059.6301.4
200957.6297.8
200857.3297.4
200756.6298
200657.5297.2
200557.2295.4
200456.7294.1
200356.1298.4
200256295.2
200154.2299.1
200053.8293.9
199955.3290.3
199852.4289.9
199752.4292.5
199652.9290
199549.7289.1
199449.5287.4
199345.4284
199245.1281.6
199149.4289.1
199050.7290.6
198951.4287.2
198848.1288
198747.7285.6
198646.1289.1
198546.7284.2
198444.8284.4
198341.9281.9
198246.4283.5
198145.9286.4
198046.5282.8
197946.7283
197847.6282.8
197745.8285.9
197646281.7
197546.9280.4
197445.6280.7
197344.3284.3
197245.8284.1
197144.8279.3
197044282
196946.9278.7
196845.7279.6
196748.3278.1
196645.9279.4
196545.8279
196444.9276.8
196348.3275.1
196245.6284.1
196148.9281.9
196046.4285.9
195946.9282.8
195848.8281.4
195749.2283.3
195650.6280.8
195547.9280.4
195446.9284.1
195349.2280.4
195249.5280.8
195146.2284.2
195049.9279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJapanNigeria
201560.649.3–74.4301.7282.9–317.3
201661.547.9–73.9301.4280.8–312.5
201762.352.1–75.8302.5284.3–316.3
201860.548.5–73.8302.2286.8–316.5
201964.152.1–80.1300.1281.2–318
202063.151–74.5303283.7–318.5
202162.348.5–78.8305.1287.1–318.4
202264.653.8–76.5305.1286–319.5
202365.951.7–78305286.4–318.9
202465.352.9–80.7310.6295.1–321.5
202565.652.8–80.4307.5292–319.4
202665.554.2–81.2306.9286.1–322.9
202766.452.9–79.5307.4288–321.7
202865.352.4–80.1310.7293.4–322.6
202968.555–80.4311.4293.3–324.4
203066.552.3–80.6310.6294.1–322.5
203166.554.7–80312.2295–324.8
20326650.8–82.1310290–323.5
203370.354.7–84.8313292.9–327
203468.553.9–81.7311.7294.8–325.1
203572.960.4–84.6314.5296.7–327.7
203672.556.1–89.7313.5294.1–326.5
203767.656.7–82.5315.6297.9–327.1
203870.558.6–83.8316.9301.2–329.6
203970.455.6–85.7315.4299.4–328.2
204073.657.4–89.3315.6297.9–327.4
204172.955.6–88.5316.8300.6–330.2
204271.258.1–86.4316.3300.3–330.3
204373.357.9–88.1316298.4–326
204472.657.8–85.5317.9299.5–329.6
204572.959.5–86.7316.6300.5–330.4
204676.261–90.3317.8302.2–330.7
204775.656.6–89.3319.8301.5–333
204874.858.5–89.4320.1302.4–331.7
204974.359.7–90.8320.7305.3–331.7
205075.160.8–89.3320.9304–335
205175.861.1–92.4321304.1–334.2
205274.557.9–90.4320.9303.9–333.5
205378.559.6–91.6320.9303.3–334.1
205475.959.6–89.3324.5304.5–338.2
205576.862.2–95.1322.2308.4–333.7
205677.861.9–93.7324.8305.8–336.3
205779.962.8–94.4326310.8–337.3
205879.263.7–94.9322.9307.4–334.2
205979.858–95.6325.7308.9–339
206078.261.1–95.1323.8307.5–337
206180.865.7–96.7324.4307.1–338.2
20628063.6–96.3325.7308–339.3
20638064.1–96.5326.6308.7–337
206477.661.4–95.2326.2311–339.8
206581.763–97.4327.6313.5–339.4
206680.363.8–94.2328.4311.3–339.6
206781.363.2–97.1326308.4–340.5
206879.861.4–99.3329.3311.2–342.9
206982.365–96.1326.6309.9–338.1
207083.360.2–102.3327.4312.6–340.7
207183.663.6–99.2329.1313–341.1
207284.363.3–99.1330.3315.9–342.1
207383.564.9–97.4326.3309.5–341
207484.366.8–100.9326.7311.4–341.4
207585.664.1–99.8328.9314.5–341.8
207683.968.8–99.3329.6313.4–342
207786.467.6–102.4332.5314.4–343.3
207884.167.7–103.2329.8312.8–342.1
207986.168.3–99.4329.6313.8–340.6
208084.767.6–103.7331.7314.1–344.8
208183.668.5–104.3329.3311.6–343.7
208286.469.4–107.7329.3313.3–341.4
208385.966.5–105.7330.4315–342.2
208485.867.4–102.3330.5311.9–344.2
208587.568.9–102.8332.7316.6–343.6
208684.668.6–105.3331.9316.3–343.6
208787.270.3–107330.7314.9–342.4
208886.866.3–102.5331.7313.2–342.7
208985.765.9–103.8331.1318.3–341.9
209089.469.5–104.4332.4312.7–343.9
209188.367.4–103.1333.3311–345.8
20928667.7–102.3332.7313.8–345.7
209388.969.8–107.4334.2318.6–344.9
209487.569.3–103.7334.2317.3–345.6
20958872.4–104.9333.8319.3–346.3
209690.771–107.3332.5317.4–346.7
209789.471–103.1331.8312.6–344.6
209888.571–106.5332.3316–343.7
209988.370.8–102.4333316.9–344.2
210087.769.2–106.2332.3318.5–345

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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