Germany vs Indonesia

Germany vs Indonesia: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 305.7 nights, or 370 times that in Germany.

nights a year · CMIP6

Germany vs Indonesia: Tropical nightsTropical nights in 2014: 0.8 nights in Germany and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 305.7 nights, or 370 times that in Germany.
GermanyIndonesiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia 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 Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearGermanyIndonesia
20140.8306.5
20130.7306.4
20120.9306.3
20110.5304.6
20100.9305.6
20090.5303.9
20080.2303.4
20070.3302.8
20060.3302.8
20050.6303.1
20040.7303.8
20030.6301.9
20020.2301.5
20010.5302.5
20000.2300.9
19990.2300.4
19980.1299.1
19970.1297.9
19960.2296.9
19950.1296.7
19940294.6
19930291.6
19920288.5
19910.1297.5
19900.1298.6
19890.1296
19880296.5
19870295.6
19860295.8
19850.1292.8
19840.1293.4
19830290.1
19820294.4
19810294.8
19800294.5
19790294.1
19780.1292.4
19770293.4
19760290.8
19750290.7
19740.1291.5
19730293
19720290.7
19710291.2
19700.1288.9
19690290.4
19680289.1
19670288.4
19660290.5
19650288.1
19640286.2
19630286.4
19620291.2
19610292.9
19600292.8
19590.1291.9
19580293.3
19570290.8
19560291.5
19550292.4
19540.1290
19530291.4
19520291.7
19510291.7
19500291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanyIndonesia
20150.50–4308295.7–315.1
20160.80–4.3307.5296.9–315.6
20170.70–5.1308.4295.5–315.6
20180.70–3.5308.9296.4–316.6
20191.20–5309.9297.8–316.7
20201.20–5.7310.9299–318.6
202110–6310.4298.7–316.4
20221.40–5.7311.4300–319.6
20231.10–5.7311.4300.1–320.6
20241.20–5.2313.2302–321.2
20251.90–8.2312300.2–321.9
20261.90.1–6.5312.6299.9–322.8
20271.40–4.7312.7301–321.6
20281.50.1–5.5313.8302.4–321.9
202920.1–6.4315.5303.9–324.1
20301.60–6.1314.2303.1–322.6
20311.40–5.4314.4301.6–321.9
20321.50.1–7.6316.9304.8–325.8
20331.70–6.8316.6305.4–323.3
20342.10.2–8.3315.4303.9–323.9
20351.70.1–6.9316.3305.6–327.9
20362.80.1–7.8317.7305.2–326.2
20372.50–9.2318.1306.6–325.2
20382.20.1–9.7319.3307.6–326.7
203930–8.9319.4307.7–326.7
20402.30.1–7.1318.5306.5–329
20412.40.1–7.9320.2308.3–328
20422.90.4–8.9320308.7–329.2
20433.10.1–8.7318.6306.6–327.8
20443.10.2–10.1321309–329.6
204530.1–8.7320.8308.6–329.8
20463.10.5–10.9322.8308.8–331
20474.30.3–10.6323.2308.8–333
20483.70.2–12.9322.3310.5–332.3
20494.40.2–11.8323.8311.6–334.1
20503.10.6–9.3323.3310.3–333.5
20512.70.1–9.5323.6311.2–334.4
20523.60.2–11.5325.1311.7–334.7
20532.30.4–8.7323.9310.9–333.8
20543.50.4–10.3324.4311.9–335.4
20553.30.4–11.3325.3312.6–335
20564.50.7–14.3325.9312.4–337.2
205740.4–11.3326.9311.9–335.2
20585.80.7–15.5326.4313–336.3
20595.10.1–15.6326.4313.9–337.8
20604.40.6–12.3329.5314.9–338.2
20615.31–12.3327.9313.6–336.9
20625.51.6–14.2327.6312.4–339.1
20635.20.8–13.8327.6313.9–339.4
20644.10.5–12.2328.8314.4–338.6
20654.90.3–15.8327.6314.3–337.9
20665.30.7–11.8328.6314.7–338.5
20677.21.4–17.5328.8314.3–338
20683.90.9–11.3329.8314.4–339.9
20696.11.6–15329.5315.5–339.3
20705.80.6–14.9328.6315.1–338.8
20716.30.6–16.4331.4315.5–340.4
20726.21.9–13330.3315.9–339.4
20735.51.3–16.2331.4317.7–341
20745.50.5–16.7329.9316.8–341.1
20756.21.4–18.3330.5315.2–340.2
20767.41.1–20.1331.5316.2–341.2
20776.31.1–17.4332315.9–341.8
20786.50.7–21.4331.4318.2–340.9
20796.70.6–22.7331.5316.6–341.5
20806.51.2–14.9332.4317.4–343.2
20816.60.9–18.5332.3318.4–341.8
20827.91.4–22.5332.8317.8–340.4
20837.61.3–16.8333.1318.7–342.6
20845.91.1–15.9333317.8–342.7
20856.50.9–17.6332.6318.1–342.7
20867.90.8–23333.1318.9–342.3
20879.91.1–24.1332.6318–343.2
20888.92–18.4334.5319.5–343.1
20898.31.9–19.2333.6319–342.6
20906.20.8–24.1333.3319.6–343.3
20919.31.3–23.5334.5318.2–343.9
20928.61.7–19.2335.1319.7–343.6
20936.20.8–18.2333.9320–344.9
20949.32.4–20.4335.6320.4–342.8
20959.51.1–24335.4319.7–343
20968.10.2–21.4334.3319.4–346.1
20976.40.5–20.1334.2319.5–343.3
20989.31.4–22.1334.9319.4–343.4
20998.11.4–20.8334.4319.4–344.6
21008.81.9–21.1334.7318.7–343.3

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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