Austria vs Nigeria

Austria vs Nigeria: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria 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 360 times that in Austria.

nights a year · CMIP6

Austria vs Nigeria: Tropical nightsTropical nights in 2014: 0.8 nights in Austria 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 360 times that in Austria.
AustriaNigeriaCMIP6 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 Austria at 6.7 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaNigeria
20140.8303.9
20130.4299.5
20120.5304.4
20110.6301.5
20100.5301.4
20090.3297.8
20080.3297.4
20070.2298
20060.4297.2
20050.4295.4
20040.4294.1
20030.3298.4
20020.2295.2
20010.3299.1
20000.3293.9
19990.3290.3
19980.1289.9
19970.1292.5
19960.2290
19950.2289.1
19940.1287.4
19930284
19920281.6
19910.2289.1
19900.2290.6
19890.2287.2
19880.1288
19870.1285.6
19860.1289.1
19850.1284.2
19840284.4
19830.1281.9
19820283.5
19810286.4
19800.1282.8
19790283
19780.1282.8
19770285.9
19760.1281.7
19750.1280.4
19740.1280.7
19730284.3
19720.1284.1
19710279.3
19700282
19690.1278.7
19680279.6
19670.1278.1
19660279.4
19650279
19640.1276.8
19630.1275.1
19620284.1
19610.1281.9
19600285.9
19590.2282.8
19580281.4
19570283.3
19560.1280.8
19550.1280.4
19540284.1
19530.1280.4
19520.1280.8
19510284.2
19500.1279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaNigeria
20150.60.1–2301.7282.9–317.3
20160.70.1–2.6301.4280.8–312.5
20170.90.1–3.4302.5284.3–316.3
20180.80.2–3.2302.2286.8–316.5
20190.90.2–2.9300.1281.2–318
20201.30.2–3.4303283.7–318.5
20210.70.1–3.1305.1287.1–318.4
20221.10.1–3.4305.1286–319.5
20230.90.1–3.9305286.4–318.9
20240.90.1–3.4310.6295.1–321.5
20251.60–4307.5292–319.4
20261.40.2–4.4306.9286.1–322.9
20271.10.1–3.6307.4288–321.7
20281.30.3–4.3310.7293.4–322.6
20291.50.2–5.5311.4293.3–324.4
20301.20.1–4.2310.6294.1–322.5
20311.30.2–4.1312.2295–324.8
20321.50.2–4.9310290–323.5
20331.60.1–5313292.9–327
203420.1–5.8311.7294.8–325.1
20351.90.3–5.3314.5296.7–327.7
20362.30.4–7313.5294.1–326.5
20372.20.3–6.6315.6297.9–327.1
20381.90.3–7.1316.9301.2–329.6
20392.80.3–6.4315.4299.4–328.2
20402.40.7–5.8315.6297.9–327.4
20412.40.5–5.5316.8300.6–330.2
20422.50.4–6.8316.3300.3–330.3
20432.70.4–6.2316298.4–326
20442.30.6–7.4317.9299.5–329.6
20452.70.4–6.5316.6300.5–330.4
20462.90.4–8.7317.8302.2–330.7
20473.80.3–8.2319.8301.5–333
20483.20.3–10.2320.1302.4–331.7
20493.50.2–7.6320.7305.3–331.7
20502.81–7320.9304–335
20512.40.4–8.2321304.1–334.2
20523.60.5–7.5320.9303.9–333.5
20532.30.6–6.3320.9303.3–334.1
20542.70.8–7324.5304.5–338.2
20553.20.5–9.2322.2308.4–333.7
20563.61–8.8324.8305.8–336.3
20573.30.8–7.5326310.8–337.3
205850.3–10.8322.9307.4–334.2
20594.40.6–11.5325.7308.9–339
20603.91.1–10323.8307.5–337
20614.51.4–9.4324.4307.1–338.2
20623.90.9–9.2325.7308–339.3
20635.41.4–11.3326.6308.7–337
20644.70.9–9.9326.2311–339.8
206551.3–10.6327.6313.5–339.4
20664.91.2–11.6328.4311.3–339.6
20675.91.3–13.5326308.4–340.5
20684.71.6–9.3329.3311.2–342.9
20695.11.3–10.1326.6309.9–338.1
20704.41.2–11.6327.4312.6–340.7
20714.80.5–12.5329.1313–341.1
20725.81.9–10.2330.3315.9–342.1
20735.31.4–10.5326.3309.5–341
20744.51–11.8326.7311.4–341.4
20755.61.5–13.6328.9314.5–341.8
20766.20.9–14.6329.6313.4–342
20774.51.4–12.9332.5314.4–343.3
20785.61–15329.8312.8–342.1
20796.80.8–17.4329.6313.8–340.6
20806.31.8–13.3331.7314.1–344.8
20815.71.6–12.9329.3311.6–343.7
208272.2–16.2329.3313.3–341.4
20835.31.5–12.9330.4315–342.2
20846.11.3–11.5330.5311.9–344.2
20856.41.9–13.3332.7316.6–343.6
20866.41.7–15.1331.9316.3–343.6
20877.21.4–15.3330.7314.9–342.4
208872.3–15331.7313.2–342.7
20896.51.8–19331.1318.3–341.9
20906.11.9–17.7332.4312.7–343.9
20917.91.9–16.7333.3311–345.8
20926.91.4–14.4332.7313.8–345.7
20935.61.4–13.6334.2318.6–344.9
20948.51.8–15.3334.2317.3–345.6
20957.21.2–16333.8319.3–346.3
20966.51–15.2332.5317.4–346.7
20975.41.1–15331.8312.6–344.6
20987.62.1–15.1332.3316–343.7
20997.51.3–17.6333316.9–344.2
21006.72.5–16.1332.3318.5–345

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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