Thailand vs Netherlands

Thailand vs Netherlands: Tropical nights

Tropical nights in 2014: 286.4 nights in Thailand and 0.4 nights in Netherlands, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286 nights, or 720 times that in Netherlands.

Watch it change on the map

nights a year · CMIP6

Thailand vs Netherlands: Tropical nightsTropical nights in 2014: 286.4 nights in Thailand and 0.4 nights in Netherlands, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 286 nights, or 720 times that in Netherlands.
ThailandNetherlandsCMIP6 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 Thailand at 320.8 nights and Netherlands at 6.3 nights in 2100.

Every year

nights a year · CMIP6

YearThailandNetherlands
2014286.40.4
2013289.10.5
2012286.60.5
2011286.40.2
20102860.5
2009286.90.3
2008284.80.1
2007283.20.1
2006284.30.1
2005281.70.3
2004287.50.4
2003279.30.4
20022800.1
2001285.50.2
2000283.40.1
1999282.50.2
1998282.70
1997284.80
1996279.80.1
1995278.70
1994280.80
1993275.60
1992268.80
1991276.70
1990279.20
1989278.40
1988279.60
1987277.90
1986277.50
19852760
1984277.90
1983273.90
1982275.70
1981277.80
1980277.90
19792780
19782760
1977277.30
1976275.60
1975274.40
19742760.1
1973280.60
1972273.90
1971273.20
19702760
1969274.80
19682770
1967270.30
1966274.40
1965275.80
1964271.90
1963274.70
1962275.40
1961278.50
1960276.20
1959274.40
1958278.70
1957277.40
19562770
1955274.60
19542750.1
1953275.40
1952275.10
1951277.50
1950276.20
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearThailandNetherlands
2015290.6272.2–3050.30–3.2
2016287.1269.8–306.20.40–3.7
2017290273.8–302.80.20–3.6
2018292.6275.1–308.70.30–2.8
2019291.2272.8–306.70.50–2.8
2020292.4272.2–307.80.50–4.5
2021294.2276.3–308.50.40–3.9
2022294.8277.2–311.910–4.8
2023296.1281.9–310.20.70–3.3
2024291.7275.5–307.80.70–4.6
2025294276.7–306.31.30–5.4
2026296278–309.310.1–5.3
2027295.8276.3–311.10.70–3.3
2028297279.3–315.10.80–5.4
2029300.3278.7–3150.80–4.6
2030297.7280.2–312.50.90–4.2
2031300.8282.8–317.10.70–3.7
2032297.2280.9–311.40.60–5.2
2033300281.9–315.80.80–4
2034300.8279–318.41.20–7.7
2035298.6281.5–317.81.20.1–6.1
2036300.4279.9–316.91.40–6.5
2037299.8280–315.11.20–6.1
2038304.8286.6–319.310–7.1
2039300.9281.9–3170.80–4.8
2040301.6284.5–315.70.80–5.5
2041303.1285.1–318.81.30.1–5.9
2042303.8290–318.31.20–6.2
2043302285.8–317.91.90–5.6
2044304.3286.3–318.81.30.1–6.9
2045307.1287.7–324.21.80–6.6
2046305.9285.2–3211.30.1–6.7
2047306.6289.5–321.52.70.2–8.4
2048309.4288.9–325.72.10–9.3
2049308.1287.2–324.12.10.1–9.7
2050307.5291–321.52.10.1–7.4
2051312.8294.8–3261.50.1–7.3
2052310.9291.2–323.41.60–9.5
2053308.3289.5–323.31.40–7.2
2054308.8292.8–322.31.70.1–8
2055308.6290.6–325.11.20–6.4
2056311.3294.9–326.32.70.1–8.1
2057308.5286.7–326.42.10.1–7.6
2058308291.1–325.13.30.4–10.6
2059312.7295.8–325.320–9
2060313.1294.6–328.62.20.1–9
2061314.4289.5–331.12.20.3–9.1
2062311.4293.4–330.33.70.7–11.1
2063314.8296.9–327.32.20.1–9.2
2064312.5295.4–3301.80.3–7
2065309.6293.1–329.32.60.1–11.9
2066312.1292.6–3281.90.1–8.4
2067311.2289.6–329.45.50.4–11.9
2068310.8292.4–330.61.40.1–6.7
2069315.5296.1–329.53.60.2–11.5
2070314.2292.9–330.72.90.2–9.7
2071313.8296.4–330.830.2–10.7
2072314.8296–329.630.6–8.1
2073316.5299.9–332.12.80.1–12.9
2074317.2295–333.83.20.2–11.2
2075317.2295.3–331.43.30.4–13.5
2076317.4299.8–3353.60.3–14.7
2077317.5297.3–335.93.10.1–10.9
2078315.9297.1–331.64.60–15.5
2079318.5300.5–332.32.40.2–11.4
2080319.8297.4–337.52.80.3–11.5
2081317.7299.5–334.94.40.1–12.2
2082317.9294.8–3333.50.3–17.3
2083315297.8–332.93.20.6–13
2084316295.5–3302.90.2–11.9
2085322.6300.8–334.73.60.3–12
2086319.4295.2–335.24.80.3–17.9
2087320.2302.2–334.75.40.1–19.3
2088321.4299.8–334.85.11.2–14.1
2089318.9296.4–338.14.41.1–10.5
2090317.6304–337.43.10–12.3
2091320.1299.8–336.15.30.3–14.8
2092316.3298–336.45.60.3–14.6
2093316.1297.7–333.73.20.3–14.1
2094323.4301.8–337.34.51–16.8
2095322.9302.4–338.95.70.5–14
2096319.6302.8–336.74.90.2–17.4
2097319.8299.1–3362.80.2–16.9
2098320.5303.9–3365.20.6–13.3
2099319.9303.1–334.43.20.4–18.7
2100320.8301.1–336.76.30.4–14.9

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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