Canada vs Thailand

Canada vs Thailand: Tropical nights

Tropical nights in 2014: 0.5 nights in Canada and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 285.9 nights, or 540 times that in Canada.

nights a year · CMIP6

Canada vs Thailand: Tropical nightsTropical nights in 2014: 0.5 nights in Canada and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 285.9 nights, or 540 times that in Canada.
CanadaThailandCMIP6 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 Canada at 4.1 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearCanadaThailand
20140.5286.4
20130.4289.1
20120.5286.6
20110.5286.4
20100.4286
20090.5286.9
20080.4284.8
20070.4283.2
20060.5284.3
20050.4281.7
20040.4287.5
20030.4279.3
20020.4280
20010.3285.5
20000.3283.4
19990.4282.5
19980.3282.7
19970.3284.8
19960.3279.8
19950.3278.7
19940.2280.8
19930.2275.6
19920.1268.8
19910.2276.7
19900.3279.2
19890.2278.4
19880.2279.6
19870.2277.9
19860.2277.5
19850.2276
19840.2277.9
19830.1273.9
19820.1275.7
19810.2277.8
19800.2277.9
19790.2278
19780.2276
19770.2277.3
19760.1275.6
19750.3274.4
19740.2276
19730.2280.6
19720.2273.9
19710.1273.2
19700.2276
19690.1274.8
19680.1277
19670.1270.3
19660.2274.4
19650.2275.8
19640.1271.9
19630.2274.7
19620.2275.4
19610.3278.5
19600.2276.2
19590.2274.4
19580.2278.7
19570.2277.4
19560.2277
19550.2274.6
19540.2275
19530.1275.4
19520.2275.1
19510.2277.5
19500.2276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCanadaThailand
20150.60.1–1.9290.6272.2–305
20160.60.2–1.9287.1269.8–306.2
20170.60.1–2290273.8–302.8
20180.60.2–1.8292.6275.1–308.7
20190.60.2–1.9291.2272.8–306.7
20200.60.1–2292.4272.2–307.8
20210.60.1–1.9294.2276.3–308.5
20220.80.3–2.3294.8277.2–311.9
20230.80.2–2.5296.1281.9–310.2
20240.70.1–2.6291.7275.5–307.8
20250.90.2–2.5294276.7–306.3
202610.2–3.1296278–309.3
20270.90.2–3.3295.8276.3–311.1
202810.3–2.6297279.3–315.1
202910.3–3300.3278.7–315
203010.2–2.7297.7280.2–312.5
20310.90.2–2.7300.8282.8–317.1
20321.10.3–3.3297.2280.9–311.4
20331.10.4–3300281.9–315.8
20341.10.3–3.1300.8279–318.4
20351.30.3–3.8298.6281.5–317.8
20361.30.3–4300.4279.9–316.9
203710.3–3.3299.8280–315.1
20381.10.3–3.9304.8286.6–319.3
20391.10.3–3.5300.9281.9–317
20401.40.3–4.9301.6284.5–315.7
20411.30.4–3.7303.1285.1–318.8
20421.20.4–3.9303.8290–318.3
20431.20.3–4.5302285.8–317.9
20441.60.5–4.3304.3286.3–318.8
20451.40.4–4.2307.1287.7–324.2
20461.60.4–4.9305.9285.2–321
20471.70.6–4.8306.6289.5–321.5
20481.60.5–4.1309.4288.9–325.7
20491.60.4–5308.1287.2–324.1
20501.70.4–5.2307.5291–321.5
20511.80.5–6312.8294.8–326
205220.3–5.2310.9291.2–323.4
20531.50.3–4.9308.3289.5–323.3
20541.80.4–5.7308.8292.8–322.3
205520.5–5308.6290.6–325.1
20561.90.5–5.8311.3294.9–326.3
205720.5–5.8308.5286.7–326.4
20582.10.5–6.4308291.1–325.1
205920.6–5.9312.7295.8–325.3
20602.50.8–5.6313.1294.6–328.6
20612.40.6–6314.4289.5–331.1
20622.60.4–6.4311.4293.4–330.3
20632.20.6–6.4314.8296.9–327.3
20641.70.4–6312.5295.4–330
20652.40.5–7309.6293.1–329.3
20662.30.5–7.4312.1292.6–328
20672.40.6–6.3311.2289.6–329.4
20682.50.5–7.9310.8292.4–330.6
20692.90.8–7315.5296.1–329.5
20702.30.7–7.2314.2292.9–330.7
20712.40.5–7.3313.8296.4–330.8
20722.50.7–7.2314.8296–329.6
20732.60.6–7.6316.5299.9–332.1
20742.60.7–7.6317.2295–333.8
20752.60.6–7.7317.2295.3–331.4
20762.80.7–7.9317.4299.8–335
20772.90.7–8.5317.5297.3–335.9
20782.60.8–8.4315.9297.1–331.6
207930.7–7.4318.5300.5–332.3
20802.70.8–7.5319.8297.4–337.5
208131–8.6317.7299.5–334.9
20823.40.7–9.1317.9294.8–333
20833.21–9.4315297.8–332.9
20842.90.8–8.4316295.5–330
20853.51–9.1322.6300.8–334.7
20863.51–9.4319.4295.2–335.2
20873.80.9–9.5320.2302.2–334.7
20883.60.7–9.2321.4299.8–334.8
20893.40.9–8.5318.9296.4–338.1
20903.30.8–9317.6304–337.4
20913.91–10.6320.1299.8–336.1
20923.91–10316.3298–336.4
20933.61–9.6316.1297.7–333.7
20943.90.6–9.2323.4301.8–337.3
20953.71.1–11.2322.9302.4–338.9
20963.91.1–10.7319.6302.8–336.7
209741.1–10.7319.8299.1–336
20983.71.1–10.2320.5303.9–336
20993.81.3–9.7319.9303.1–334.4
21004.11–11.5320.8301.1–336.7

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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