Switzerland vs Thailand

Switzerland vs Thailand: Tropical nights

Tropical nights in 2014: 0.2 nights in Switzerland and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286.2 nights, or 1,200 times that in Switzerland.

nights a year · CMIP6

Switzerland vs Thailand: Tropical nightsTropical nights in 2014: 0.2 nights in Switzerland and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286.2 nights, or 1,200 times that in Switzerland.
SwitzerlandThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Switzerland at 3.8 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearSwitzerlandThailand
20140.2286.4
20130.1289.1
20120.1286.6
20110.1286.4
20100.1286
20090.1286.9
20080.1284.8
20070283.2
20060284.3
20050.1281.7
20040.1287.5
20030.1279.3
20020.1280
20010.1285.5
20000283.4
19990282.5
19980282.7
19970284.8
19960279.8
19950278.7
19940280.8
19930275.6
19920268.8
19910276.7
19900279.2
19890278.4
19880279.6
19870277.9
19860277.5
19850276
19840277.9
19830273.9
19820275.7
19810277.8
19800277.9
19790278
19780276
19770277.3
19760275.6
19750274.4
19740276
19730280.6
19720273.9
19710273.2
19700276
19690274.8
19680277
19670270.3
19660274.4
19650275.8
19640271.9
19630274.7
19620275.4
19610278.5
19600276.2
19590274.4
19580278.7
19570277.4
19560277
19550274.6
19540275
19530275.4
19520275.1
19510277.5
19500276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSwitzerlandThailand
20150.10–1.1290.6272.2–305
20160.20–1.3287.1269.8–306.2
20170.20–1.5290273.8–302.8
20180.10–1.3292.6275.1–308.7
20190.30–1.4291.2272.8–306.7
20200.10–1.4292.4272.2–307.8
20210.30–2.2294.2276.3–308.5
20220.30–2.1294.8277.2–311.9
20230.30–1.9296.1281.9–310.2
20240.40–1.5291.7275.5–307.8
20250.40–1.9294276.7–306.3
20260.50–1.9296278–309.3
20270.30–1.6295.8276.3–311.1
20280.50–1.9297279.3–315.1
20290.80–2.2300.3278.7–315
20300.30–2.4297.7280.2–312.5
20310.40–1.4300.8282.8–317.1
20320.60.1–2.4297.2280.9–311.4
20330.60–3.2300281.9–315.8
20340.70.1–3.3300.8279–318.4
20350.70.1–2.4298.6281.5–317.8
20360.80–2.7300.4279.9–316.9
20370.60.1–2.7299.8280–315.1
20380.80–2.9304.8286.6–319.3
20390.90–2.6300.9281.9–317
20400.90–2.6301.6284.5–315.7
204110–2.9303.1285.1–318.8
20420.80.1–2.8303.8290–318.3
204310.1–2.7302285.8–317.9
20440.80.1–3.3304.3286.3–318.8
20451.20–3.5307.1287.7–324.2
20461.20.2–3.8305.9285.2–321
20471.50.1–3.8306.6289.5–321.5
204810.1–4.6309.4288.9–325.7
20491.60.1–4.2308.1287.2–324.1
20501.20.3–3.5307.5291–321.5
205110–4312.8294.8–326
20521.40.1–3.9310.9291.2–323.4
20530.80.1–3.8308.3289.5–323.3
20541.40.2–3.5308.8292.8–322.3
20551.30.1–3.4308.6290.6–325.1
20561.40.2–6.5311.3294.9–326.3
20571.70.2–3.7308.5286.7–326.4
20582.10.2–5.5308291.1–325.1
20591.80.1–7.1312.7295.8–325.3
20601.60.4–5.6313.1294.6–328.6
20611.90.1–4.9314.4289.5–331.1
20622.30.3–5311.4293.4–330.3
20632.20.2–5.9314.8296.9–327.3
206420.3–5312.5295.4–330
206520.1–7.4309.6293.1–329.3
206620.3–5.5312.1292.6–328
20673.80.8–10311.2289.6–329.4
20682.20.2–4.9310.8292.4–330.6
20692.60.7–5.9315.5296.1–329.5
20702.60.3–7.1314.2292.9–330.7
20712.90.1–7.8313.8296.4–330.8
20722.91.2–6.5314.8296–329.6
207320.3–7316.5299.9–332.1
20741.70.2–7.6317.2295–333.8
20752.40.4–7.7317.2295.3–331.4
20762.80.5–10.6317.4299.8–335
20772.40.5–8.8317.5297.3–335.9
20782.20.3–8.1315.9297.1–331.6
20792.60.4–8.5318.5300.5–332.3
20802.90.3–6.6319.8297.4–337.5
20812.90.5–8.3317.7299.5–334.9
20823.30.4–8.9317.9294.8–333
20832.50.5–7.9315297.8–332.9
20842.60.6–6.1316295.5–330
208530.9–7.7322.6300.8–334.7
20863.40.7–8.7319.4295.2–335.2
20874.10.5–10.4320.2302.2–334.7
20883.60.8–11.7321.4299.8–334.8
20893.61.1–9318.9296.4–338.1
20903.60.6–9.5317.6304–337.4
209140.7–9.8320.1299.8–336.1
20923.10.2–9.4316.3298–336.4
20932.70.7–7.8316.1297.7–333.7
20944.21.2–9.2323.4301.8–337.3
20953.90.2–11.4322.9302.4–338.9
20963.10.2–10319.6302.8–336.7
20972.80.2–10.3319.8299.1–336
20983.80.7–10.2320.5303.9–336
20993.90.4–10.7319.9303.1–334.4
21003.80.8–11.7320.8301.1–336.7

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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