Germany vs Vietnam

Germany vs Vietnam: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 241.8 nights, or 300 times that in Germany.

nights a year · CMIP6

Germany vs Vietnam: Tropical nightsTropical nights in 2014: 0.8 nights in Germany and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 241.8 nights, or 300 times that in Germany.
GermanyVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Germany at 8.8 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearGermanyVietnam
20140.8242.6
20130.7243.6
20120.9242.4
20110.5241.9
20100.9240.9
20090.5240
20080.2238.7
20070.3238
20060.3239.1
20050.6238.3
20040.7241.8
20030.6235.9
20020.2236.3
20010.5241.3
20000.2237
19990.2236
19980.1236.8
19970.1237.1
19960.2231.4
19950.1229.9
19940231.2
19930225.3
19920221.9
19910.1229.8
19900.1233.1
19890.1229.2
19880231.7
19870230.3
19860230.9
19850.1228
19840.1230.2
19830224.9
19820227.5
19810229.7
19800228.1
19790228.9
19780.1227.5
19770229
19760225.8
19750225.8
19740.1225.7
19730230.3
19720225.6
19710225.5
19700.1226.1
19690227
19680227.1
19670222.9
19660226.8
19650225.4
19640222.6
19630224.3
19620227.8
19610229.4
19600228.5
19590.1226.2
19580230.9
19570228.4
19560228.7
19550227.5
19540.1226.3
19530228.2
19520228.5
19510229.2
19500228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanyVietnam
20150.50–4245.8228.2–261.9
20160.80–4.3243.7226.1–259.4
20170.70–5.1247229.6–260.7
20180.70–3.5248.3228.8–263.3
20191.20–5248.1229.2–262.8
20201.20–5.7248.8229.6–262.9
202110–6251.1233.1–266.7
20221.40–5.7252.4234.3–266.8
20231.10–5.7253.4235.4–266.6
20241.20–5.2251.3236.7–264.6
20251.90–8.2252.4234.1–266.2
20261.90.1–6.5252.8232.9–268.5
20271.40–4.7253.2237–268.8
20281.50.1–5.5254.3237.7–272
202920.1–6.4258.1238.5–273.7
20301.60–6.1256.4240.9–270.1
20311.40–5.4255.9241.2–270.9
20321.50.1–7.6257.4239.1–269.9
20331.70–6.8258.3241.7–273.2
20342.10.2–8.3258.8240.7–275.8
20351.70.1–6.9258.6242.5–275.4
20362.80.1–7.8258.3239.1–273.8
20372.50–9.2258.7242.4–272.4
20382.20.1–9.7263.4247.6–277.3
203930–8.9260.2243.7–275.9
20402.30.1–7.1260.1242.8–274.8
20412.40.1–7.9263.1245.9–279
20422.90.4–8.9263.6246.5–279
20433.10.1–8.7261.4245.5–279.6
20443.10.2–10.1263.2245.2–277.6
204530.1–8.7265.5249.6–281.4
20463.10.5–10.9264.9246.8–278.1
20474.30.3–10.6266.9250.4–282.9
20483.70.2–12.9268250.5–283.8
20494.40.2–11.8267.8251.2–284.8
20503.10.6–9.3268251.2–283.5
20512.70.1–9.5270.9254.3–285.4
20523.60.2–11.5268.3253.3–282.8
20532.30.4–8.7268.5250.1–283.2
20543.50.4–10.3269.1250.8–283.6
20553.30.4–11.3270249.8–284.2
20564.50.7–14.3271.7254.8–290.1
205740.4–11.3270253–285.7
20585.80.7–15.5270.7252.9–286.5
20595.10.1–15.6273257.6–286.6
20604.40.6–12.3275.7255.6–290.6
20615.31–12.3273.5254.6–289.5
20625.51.6–14.2271.4253.1–290.2
20635.20.8–13.8272.9252.7–288.1
20644.10.5–12.2273.8254.4–288.1
20654.90.3–15.8272255.8–286.3
20665.30.7–11.8271.8254.4–287.3
20677.21.4–17.5270.8252.1–287.6
20683.90.9–11.3275.6256.9–292.4
20696.11.6–15276.4258.5–292
20705.80.6–14.9274.6257.8–292.8
20716.30.6–16.4276.2255.2–294.1
20726.21.9–13277256.8–291.4
20735.51.3–16.2278.5262.7–293.4
20745.50.5–16.7277.6259.2–295.8
20756.21.4–18.3276.4258.7–294.4
20767.41.1–20.1279.2258.5–296.6
20776.31.1–17.4280264.9–294.7
20786.50.7–21.4278.4258.6–295.5
20796.70.6–22.7279.3263.4–293.6
20806.51.2–14.9280261.4–296.5
20816.60.9–18.5280.4261.2–297.9
20827.91.4–22.5280.9258.9–296
20837.61.3–16.8278.4261.6–295
20845.91.1–15.9279257.4–293.8
20856.50.9–17.6281.3265–297.8
20867.90.8–23282.3260.2–297.5
20879.91.1–24.1281.9261.3–300.7
20888.92–18.4283.1265.7–301.5
20898.31.9–19.2280.8261.2–301.6
20906.20.8–24.1280.5264.5–297.6
20919.31.3–23.5283.3264.3–298.9
20928.61.7–19.2281.1261.5–299.4
20936.20.8–18.2280.5263.4–296.1
20949.32.4–20.4283264.5–300
20959.51.1–24285.5264.5–302.9
20968.10.2–21.4281.8264.8–299.8
20976.40.5–20.1281.5263.3–299
20989.31.4–22.1282.5263.9–301.5
20998.11.4–20.8282.7265.1–298
21008.81.9–21.1282.7261–298.2

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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