Belgium vs Indonesia

Belgium vs Indonesia: Tropical nights

Tropical nights in 2014: 0.2 nights in Belgium and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 306.3 nights, or 1,300 times that in Belgium.

nights a year · CMIP6

Belgium vs Indonesia: Tropical nightsTropical nights in 2014: 0.2 nights in Belgium and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 306.3 nights, or 1,300 times that in Belgium.
BelgiumIndonesiaCMIP6 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 Belgium at 7.7 nights and Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearBelgiumIndonesia
20140.2306.5
20130.5306.4
20120.5306.3
20110.1304.6
20100.6305.6
20090.1303.9
20080303.4
20070302.8
20060302.8
20050.3303.1
20040.1303.8
20030.4301.9
20020301.5
20010302.5
20000300.9
19990.2300.4
19980299.1
19970297.9
19960296.9
19950296.7
19940294.6
19930291.6
19920288.5
19910297.5
19900298.6
19890296
19880296.5
19870295.6
19860295.8
19850292.8
19840293.4
19830290.1
19820294.4
19810294.8
19800294.5
19790294.1
19780292.4
19770293.4
19760290.8
19750290.7
19740291.5
19730293
19720290.7
19710291.2
19700288.9
19690290.4
19680289.1
19670288.4
19660290.5
19650288.1
19640286.2
19630286.4
19620291.2
19610292.9
19600292.8
19590291.9
19580293.3
19570290.8
19560291.5
19550292.4
19540290
19530291.4
19520291.7
19510291.7
19500291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBelgiumIndonesia
20150.10–3.4308295.7–315.1
20160.40–3.5307.5296.9–315.6
20170.30–4.5308.4295.5–315.6
20180.30–2.1308.9296.4–316.6
20190.40–3309.9297.8–316.7
20200.40–4.4310.9299–318.6
20210.30–3.8310.4298.7–316.4
20220.70–4.2311.4300–319.6
20230.60–4.8311.4300.1–320.6
20240.70–4.7313.2302–321.2
20251.30–5.8312300.2–321.9
20261.20–5.5312.6299.9–322.8
20270.80–3.6312.7301–321.6
20280.60–6313.8302.4–321.9
20291.10–4.6315.5303.9–324.1
20300.90–4314.2303.1–322.6
20310.70–4314.4301.6–321.9
20320.70–5.4316.9304.8–325.8
20330.90–5316.6305.4–323.3
20341.50–8.7315.4303.9–323.9
20351.20–7.3316.3305.6–327.9
20361.50–6.5317.7305.2–326.2
20371.60–7.1318.1306.6–325.2
20380.90–10.4319.3307.6–326.7
20390.90–5.5319.4307.7–326.7
204010–6.1318.5306.5–329
20411.80–7.2320.2308.3–328
20421.10–5.5320308.7–329.2
20431.80–6318.6306.6–327.8
20441.60.1–7.4321309–329.6
20452.10–7.4320.8308.6–329.8
20461.40.1–8322.8308.8–331
20472.50.1–8.4323.2308.8–333
20482.20–10.9322.3310.5–332.3
20492.70–9.2323.8311.6–334.1
20502.90.1–7.7323.3310.3–333.5
20511.70.1–6.5323.6311.2–334.4
20521.80–10.1325.1311.7–334.7
20531.20–7323.9310.9–333.8
20542.40.3–9.6324.4311.9–335.4
20551.80–5.7325.3312.6–335
20563.50.1–10.1325.9312.4–337.2
20572.70–9.4326.9311.9–335.2
20584.30.2–12.1326.4313–336.3
20592.70–11.7326.4313.9–337.8
20602.90.1–10.7329.5314.9–338.2
206130.2–11.5327.9313.6–336.9
20624.10.3–11.8327.6312.4–339.1
20632.30.2–11327.6313.9–339.4
20642.10.3–8.1328.8314.4–338.6
206530.1–14.1327.6314.3–337.9
20662.20–8.7328.6314.7–338.5
20676.60.7–16.4328.8314.3–338
20681.90–7.8329.8314.4–339.9
20694.20.7–11.9329.5315.5–339.3
20703.90.1–13.1328.6315.1–338.8
20714.20.1–13.5331.4315.5–340.4
20724.51.3–10.4330.3315.9–339.4
20733.70.1–15.1331.4317.7–341
207440.3–12.8329.9316.8–341.1
20753.60.2–15330.5315.2–340.2
20765.10.2–15.2331.5316.2–341.2
20774.40–14.7332315.9–341.8
20785.40.1–17.8331.4318.2–340.9
20793.10.3–13.4331.5316.6–341.5
20804.60.3–12332.4317.4–343.2
20815.50.1–14.9332.3318.4–341.8
20824.60.3–18.7332.8317.8–340.4
20834.50.7–14.2333.1318.7–342.6
20843.10.3–14333317.8–342.7
208540.3–16.3332.6318.1–342.7
20867.10.2–19.4333.1318.9–342.3
20877.30.2–23.2332.6318–343.2
20886.61.2–19.7334.5319.5–343.1
20895.71.2–11.1333.6319–342.6
20903.90–16.8333.3319.6–343.3
20917.60.2–16.1334.5318.2–343.9
20925.60.1–15335.1319.7–343.6
20933.70.3–13.6333.9320–344.9
209461.5–17335.6320.4–342.8
20957.10.2–17.3335.4319.7–343
20966.70.1–18.3334.3319.4–346.1
20973.30.2–17.2334.2319.5–343.3
20985.90.4–17.2334.9319.4–343.4
20994.90.1–22334.4319.4–344.6
21007.70.5–15.1334.7318.7–343.3

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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