Sweden vs Thailand

Sweden vs Thailand: Tropical nights

Tropical nights in 2014: 0.1 nights in Sweden and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286.3 nights, or 5,700 times that in Sweden.

nights a year · CMIP6

Sweden vs Thailand: Tropical nightsTropical nights in 2014: 0.1 nights in Sweden and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286.3 nights, or 5,700 times that in Sweden.
SwedenThailandCMIP6 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 Sweden at 0.7 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearSwedenThailand
20140.1286.4
20130.1289.1
20120286.6
20110286.4
20100286
20090286.9
20080284.8
20070283.2
20060284.3
20050281.7
20040287.5
20030279.3
20020280
20010285.5
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
YearSwedenThailand
20150.10–0.3290.6272.2–305
201600–0.3287.1269.8–306.2
201700–0.4290273.8–302.8
201800–0.3292.6275.1–308.7
20190.10–0.5291.2272.8–306.7
202000–0.3292.4272.2–307.8
202100–0.3294.2276.3–308.5
20220.10–0.5294.8277.2–311.9
20230.10–0.6296.1281.9–310.2
202400–0.4291.7275.5–307.8
20250.10–1294276.7–306.3
20260.10–1296278–309.3
20270.10–0.3295.8276.3–311.1
20280.10–0.6297279.3–315.1
20290.10–0.8300.3278.7–315
20300.10–0.5297.7280.2–312.5
20310.10–0.4300.8282.8–317.1
20320.10–0.8297.2280.9–311.4
20330.10–0.8300281.9–315.8
20340.10–0.7300.8279–318.4
20350.20–0.8298.6281.5–317.8
20360.10–0.8300.4279.9–316.9
20370.10–1299.8280–315.1
20380.10–1.2304.8286.6–319.3
20390.10–0.8300.9281.9–317
20400.10–0.8301.6284.5–315.7
20410.10–1.2303.1285.1–318.8
20420.20–1.2303.8290–318.3
20430.20–1.1302285.8–317.9
20440.10–1.1304.3286.3–318.8
20450.10–0.6307.1287.7–324.2
20460.20–1.3305.9285.2–321
20470.30–2.1306.6289.5–321.5
20480.30–1.8309.4288.9–325.7
20490.20–1.6308.1287.2–324.1
20500.20–1.8307.5291–321.5
20510.20–1.7312.8294.8–326
20520.20–2310.9291.2–323.4
20530.10–1.3308.3289.5–323.3
20540.20–1.1308.8292.8–322.3
20550.20–1.6308.6290.6–325.1
20560.20–1.5311.3294.9–326.3
20570.20–1.4308.5286.7–326.4
20580.30–2.3308291.1–325.1
20590.30–1.7312.7295.8–325.3
20600.20–1.4313.1294.6–328.6
20610.40–1.6314.4289.5–331.1
20620.30.1–1.7311.4293.4–330.3
20630.20–2.1314.8296.9–327.3
20640.20–1.6312.5295.4–330
20650.30–3309.6293.1–329.3
20660.20–2.8312.1292.6–328
20670.30–2311.2289.6–329.4
20680.20–1.5310.8292.4–330.6
20690.60.1–3.1315.5296.1–329.5
20700.30–2314.2292.9–330.7
20710.30–2.7313.8296.4–330.8
20720.20–2314.8296–329.6
20730.40–4.6316.5299.9–332.1
20740.20–2.8317.2295–333.8
20750.30–2.9317.2295.3–331.4
20760.40–2.4317.4299.8–335
20770.40–2.2317.5297.3–335.9
20780.50–3.1315.9297.1–331.6
20790.40–3.1318.5300.5–332.3
20800.30–2.1319.8297.4–337.5
20810.30–3317.7299.5–334.9
20820.40–4.4317.9294.8–333
20830.50.1–3315297.8–332.9
20840.30–2.4316295.5–330
20850.40–3.3322.6300.8–334.7
20860.70–4319.4295.2–335.2
20870.60–6320.2302.2–334.7
20880.50–2.7321.4299.8–334.8
20890.50.1–3.4318.9296.4–338.1
20900.40–2.9317.6304–337.4
20910.60–3.9320.1299.8–336.1
20920.80–4.2316.3298–336.4
20930.70.1–4.8316.1297.7–333.7
20940.50–2.6323.4301.8–337.3
20950.50.1–4.3322.9302.4–338.9
20960.50–3.7319.6302.8–336.7
20970.50–4.5319.8299.1–336
20980.50.1–3.7320.5303.9–336
20990.30–3.2319.9303.1–334.4
21000.70–4.4320.8301.1–336.7

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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