Austria vs Congo - Kinshasa

Austria vs Congo - Kinshasa: Tropical nights

Tropical nights in 2014: 0.8 nights in Austria and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 247.7 nights, or 300 times that in Austria.

nights a year · CMIP6

Austria vs Congo - Kinshasa: Tropical nightsTropical nights in 2014: 0.8 nights in Austria and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 247.7 nights, or 300 times that in Austria.
AustriaCongo - KinshasaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa 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 Congo - Kinshasa at 324.1 nights in 2100.

Every year

nights a year · CMIP6

YearAustriaCongo - Kinshasa
20140.8248.5
20130.4249.2
20120.5250.9
20110.6248.7
20100.5243.5
20090.3243
20080.3239.7
20070.2237.7
20060.4239
20050.4237.3
20040.4238.5
20030.3239.3
20020.2236.5
20010.3242.5
20000.3233.5
19990.3226.2
19980.1230.6
19970.1226.6
19960.2218.6
19950.2217.2
19940.1211.9
19930201.5
19920197.6
19910.2220.1
19900.2225.4
19890.2218.4
19880.1216.7
19870.1216.6
19860.1216.8
19850.1206.1
19840205.9
19830.1204.3
19820204.5
19810215.2
19800.1211.4
19790208.5
19780.1202.6
19770206.5
19760.1201.9
19750.1199
19740.1204
19730208.4
19720.1202.5
19710196.3
19700201.7
19690.1197.3
19680199
19670.1188.8
19660194.7
19650189
19640.1177.3
19630.1178.5
19620203.2
19610.1203.9
19600209.8
19590.2203.3
19580204.3
19570204
19560.1197.6
19550.1200.5
19540201
19530.1204.6
19520.1201.9
19510204.8
19500.1200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaCongo - Kinshasa
20150.60.1–2256.6217.3–277.7
20160.70.1–2.6247.7213.3–269.3
20170.90.1–3.4257.4226.6–278.3
20180.80.2–3.2258.8228.1–276.8
20190.90.2–2.9255.8222.6–278.7
20201.30.2–3.4259.4227.4–282.3
20210.70.1–3.1262.6234.7–283.8
20221.10.1–3.4264.8235.1–288.5
20230.90.1–3.9263.9236.8–287.2
20240.90.1–3.4270.9237.9–290
20251.60–4266.1230.6–292.2
20261.40.2–4.4267.4226.8–294.5
20271.10.1–3.6268.6230.6–293.6
20281.30.3–4.3271.7239.7–295.9
20291.50.2–5.5275.9249.3–296.6
20301.20.1–4.2270.4241.7–296.1
20311.30.2–4.1279.4246.6–297.5
20321.50.2–4.9277.9249.4–302.3
20331.60.1–5276.9245.9–301.6
203420.1–5.8276.7247.4–305.6
20351.90.3–5.3281243.7–305.1
20362.30.4–7278.3244.7–304.9
20372.20.3–6.6286.9256.1–308.6
20381.90.3–7.1289261.5–307.1
20392.80.3–6.4284.7253.4–307.3
20402.40.7–5.8284.5254.7–311.5
20412.40.5–5.5289.9258.4–310.8
20422.50.4–6.8286.9254.1–314.3
20432.70.4–6.2285.9253–313
20442.30.6–7.4288.3253.6–312.5
20452.70.4–6.5289.4260.1–314.1
20462.90.4–8.7298.3261.3–317.3
20473.80.3–8.2298.5268.2–317.8
20483.20.3–10.2299.1268–320.8
20493.50.2–7.6300.3269.6–320.4
20502.81–7297.8267.2–320.6
20512.40.4–8.2298.4272.3–323.1
20523.60.5–7.5300.2271.5–324
20532.30.6–6.3298.7265.5–322.6
20542.70.8–7300.6269.6–322.8
20553.20.5–9.2301.9274.9–325.6
20563.61–8.8302.1266.2–328.3
20573.30.8–7.5305.1274.4–326.5
205850.3–10.8305.3274.1–327.1
20594.40.6–11.5305.4279–329.6
20603.91.1–10310.7273.5–330.2
20614.51.4–9.4307266.1–329.8
20623.90.9–9.2308.8269.1–332
20635.41.4–11.3308.4277.6–328.4
20644.70.9–9.9310.6278.4–329.6
206551.3–10.6311.9282.4–331.2
20664.91.2–11.6310.4284.2–330.3
20675.91.3–13.5308.8275.9–334
20684.71.6–9.3313.9280.8–334.6
20695.11.3–10.1312.1270.6–332.7
20704.41.2–11.6309.6278–334
20714.80.5–12.5312.6285–336.5
20725.81.9–10.2317287.7–334.6
20735.31.4–10.5316.2291.2–337.1
20744.51–11.8311.6284.5–334.9
20755.61.5–13.6312.3279.3–335.2
20766.20.9–14.6315.9288.7–337.1
20774.51.4–12.9318.5292.6–338.2
20785.61–15315287.3–337.1
20796.80.8–17.4314.8286.3–336
20806.31.8–13.3318.5286.8–337.8
20815.71.6–12.9318.4287.8–336.7
208272.2–16.2318.7289.8–336.5
20835.31.5–12.9317.4290.6–340.9
20846.11.3–11.5321.6293.8–339.8
20856.41.9–13.3324.4294.3–341.4
20866.41.7–15.1319290.7–340.7
20877.21.4–15.3318.3291.9–339.6
208872.3–15320.9292.9–340
20896.51.8–19322.1293.9–339.8
20906.11.9–17.7320.4295.5–341.7
20917.91.9–16.7325.4294.3–343.3
20926.91.4–14.4321.5294.4–342.4
20935.61.4–13.6323.1297.8–341.2
20948.51.8–15.3323.1296.5–341.1
20957.21.2–16325.6299.1–343.7
20966.51–15.2321.8296.2–344.1
20975.41.1–15321.5292.6–342
20987.62.1–15.1324.2295.1–342.8
20997.51.3–17.6322.8293.7–344.6
21006.72.5–16.1324.1292.1–344.1

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

Austria vs Congo - Kinshasa

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