Argentina vs Nigeria

Argentina vs Nigeria: Tropical nights

Tropical nights in 2014: 42.6 nights in Argentina and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 261.3 nights, or 7.13 times that in Argentina.

nights a year · CMIP6

Argentina vs Nigeria: Tropical nightsTropical nights in 2014: 42.6 nights in Argentina and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 261.3 nights, or 7.13 times that in Argentina.
ArgentinaNigeriaCMIP6 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 Argentina at 65.2 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearArgentinaNigeria
201442.6303.9
201341.8299.5
201241304.4
201141.5301.5
201040.8301.4
200941.6297.8
200841.4297.4
200739.6298
200639.3297.2
200540.1295.4
200440.6294.1
200338.7298.4
200240.2295.2
200139.5299.1
200039.5293.9
199938.4290.3
199838.8289.9
199738.5292.5
199637290
199535.7289.1
199434.7287.4
199334.3284
199233.4281.6
199136.8289.1
199036290.6
198937287.2
198836.9288
198736.1285.6
198636.4289.1
198536284.2
198434.7284.4
198335.2281.9
198235.7283.5
198137.3286.4
198036.3282.8
197937.5283
197835.7282.8
197735.1285.9
197635.7281.7
197534.8280.4
197435.4280.7
197334.1284.3
197235.5284.1
197134.7279.3
197034.9282
196933.4278.7
196834.6279.6
196733278.1
196634.3279.4
196532.2279
196430.3276.8
196332275.1
196235.2284.1
196135.6281.9
196035.6285.9
195934.5282.8
195833.3281.4
195735.7283.3
195635280.8
195534.4280.4
195433.6284.1
195335.8280.4
195234.4280.8
195135.4284.2
195033.9279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearArgentinaNigeria
201544.433.5–53.4301.7282.9–317.3
201643.532.4–53.4301.4280.8–312.5
201742.834.2–52.6302.5284.3–316.3
201842.632.7–52.6302.2286.8–316.5
201943.633.4–53.1300.1281.2–318
202045.735.5–57.2303283.7–318.5
202145.634.3–56.4305.1287.1–318.4
202244.633.3–56.4305.1286–319.5
202344.934.9–53.9305286.4–318.9
202445.834.2–57.5310.6295.1–321.5
202546.536–58.1307.5292–319.4
202647.936.7–57306.9286.1–322.9
202746.434.5–56.3307.4288–321.7
202846.133.5–58.5310.7293.4–322.6
202948.336–58.8311.4293.3–324.4
203047.835.4–60.3310.6294.1–322.5
203146.935.5–58.7312.2295–324.8
20324837.9–59.7310290–323.5
203347.436.7–57.6313292.9–327
203447.837.8–58.9311.7294.8–325.1
203547.339–59314.5296.7–327.7
203648.939.2–58.4313.5294.1–326.5
20375141.2–60.9315.6297.9–327.1
203848.737.9–59.7316.9301.2–329.6
203948.839.1–58.4315.4299.4–328.2
204050.440.4–62.3315.6297.9–327.4
204150.740.4–61.7316.8300.6–330.2
20425037.3–61.1316.3300.3–330.3
204350.340.5–61316298.4–326
20445240–65317.9299.5–329.6
204552.441.3–65.6316.6300.5–330.4
204651.941.2–62.7317.8302.2–330.7
204751.542–64319.8301.5–333
204854.542.6–65320.1302.4–331.7
204953.942.8–64.9320.7305.3–331.7
205052.543.6–62.4320.9304–335
205155.743.3–67.4321304.1–334.2
205255.642.2–67320.9303.9–333.5
205355.342.6–67.6320.9303.3–334.1
205454.743–66.7324.5304.5–338.2
205555.942.3–67.2322.2308.4–333.7
205657.642.8–68.6324.8305.8–336.3
205756.842.3–68.7326310.8–337.3
205854.841.5–68.1322.9307.4–334.2
205957.844.9–70.3325.7308.9–339
206056.943.4–67.9323.8307.5–337
206156.542.3–70.6324.4307.1–338.2
206257.345.8–68.5325.7308–339.3
206358.244.6–70.2326.6308.7–337
206458.845.8–71.5326.2311–339.8
206558.746–71.1327.6313.5–339.4
206659.947–68.9328.4311.3–339.6
206758.944.8–71.5326308.4–340.5
206857.844.3–70.3329.3311.2–342.9
206959.445.4–70.5326.6309.9–338.1
207061.348.2–74.3327.4312.6–340.7
207160.148.7–73.2329.1313–341.1
207260.146.7–73.7330.3315.9–342.1
207360.847.6–73.5326.3309.5–341
207460.447.6–73.7326.7311.4–341.4
207561.347.9–73.9328.9314.5–341.8
207661.146.8–75.8329.6313.4–342
207760.647.1–73.1332.5314.4–343.3
207863.449.4–75.6329.8312.8–342.1
207959.948.7–73329.6313.8–340.6
20806348.1–75.5331.7314.1–344.8
208161.448.7–73.5329.3311.6–343.7
208261.747.7–75329.3313.3–341.4
208362.148.2–75.6330.4315–342.2
208462.950.3–76330.5311.9–344.2
20856246.9–76.4332.7316.6–343.6
208662.749.4–76.4331.9316.3–343.6
208761.847.9–74.9330.7314.9–342.4
208864.450.8–77.5331.7313.2–342.7
208962.749.3–76.3331.1318.3–341.9
209064.152.5–77.1332.4312.7–343.9
209164.451.7–78.3333.3311–345.8
209265.650.8–78.3332.7313.8–345.7
209362.749.7–76.8334.2318.6–344.9
209463.950.1–78.5334.2317.3–345.6
209562.948.8–77.9333.8319.3–346.3
209664.749.4–78.9332.5317.4–346.7
209764.552.4–80.1331.8312.6–344.6
209865.652.7–78.7332.3316–343.7
209965.249.3–80.2333316.9–344.2
210065.250–81.7332.3318.5–345

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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