Indonesia vs Thailand

Indonesia vs Thailand: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 20.1 nights, or 1.07 times that in Thailand.

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nights a year · CMIP6

Indonesia vs Thailand: Tropical nightsTropical nights in 2014: 306.5 nights in Indonesia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 20.1 nights, or 1.07 times that in Thailand.
IndonesiaThailandCMIP6 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 Indonesia at 334.7 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearIndonesiaThailand
2014306.5286.4
2013306.4289.1
2012306.3286.6
2011304.6286.4
2010305.6286
2009303.9286.9
2008303.4284.8
2007302.8283.2
2006302.8284.3
2005303.1281.7
2004303.8287.5
2003301.9279.3
2002301.5280
2001302.5285.5
2000300.9283.4
1999300.4282.5
1998299.1282.7
1997297.9284.8
1996296.9279.8
1995296.7278.7
1994294.6280.8
1993291.6275.6
1992288.5268.8
1991297.5276.7
1990298.6279.2
1989296278.4
1988296.5279.6
1987295.6277.9
1986295.8277.5
1985292.8276
1984293.4277.9
1983290.1273.9
1982294.4275.7
1981294.8277.8
1980294.5277.9
1979294.1278
1978292.4276
1977293.4277.3
1976290.8275.6
1975290.7274.4
1974291.5276
1973293280.6
1972290.7273.9
1971291.2273.2
1970288.9276
1969290.4274.8
1968289.1277
1967288.4270.3
1966290.5274.4
1965288.1275.8
1964286.2271.9
1963286.4274.7
1962291.2275.4
1961292.9278.5
1960292.8276.2
1959291.9274.4
1958293.3278.7
1957290.8277.4
1956291.5277
1955292.4274.6
1954290275
1953291.4275.4
1952291.7275.1
1951291.7277.5
1950291.8276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndonesiaThailand
2015308295.7–315.1290.6272.2–305
2016307.5296.9–315.6287.1269.8–306.2
2017308.4295.5–315.6290273.8–302.8
2018308.9296.4–316.6292.6275.1–308.7
2019309.9297.8–316.7291.2272.8–306.7
2020310.9299–318.6292.4272.2–307.8
2021310.4298.7–316.4294.2276.3–308.5
2022311.4300–319.6294.8277.2–311.9
2023311.4300.1–320.6296.1281.9–310.2
2024313.2302–321.2291.7275.5–307.8
2025312300.2–321.9294276.7–306.3
2026312.6299.9–322.8296278–309.3
2027312.7301–321.6295.8276.3–311.1
2028313.8302.4–321.9297279.3–315.1
2029315.5303.9–324.1300.3278.7–315
2030314.2303.1–322.6297.7280.2–312.5
2031314.4301.6–321.9300.8282.8–317.1
2032316.9304.8–325.8297.2280.9–311.4
2033316.6305.4–323.3300281.9–315.8
2034315.4303.9–323.9300.8279–318.4
2035316.3305.6–327.9298.6281.5–317.8
2036317.7305.2–326.2300.4279.9–316.9
2037318.1306.6–325.2299.8280–315.1
2038319.3307.6–326.7304.8286.6–319.3
2039319.4307.7–326.7300.9281.9–317
2040318.5306.5–329301.6284.5–315.7
2041320.2308.3–328303.1285.1–318.8
2042320308.7–329.2303.8290–318.3
2043318.6306.6–327.8302285.8–317.9
2044321309–329.6304.3286.3–318.8
2045320.8308.6–329.8307.1287.7–324.2
2046322.8308.8–331305.9285.2–321
2047323.2308.8–333306.6289.5–321.5
2048322.3310.5–332.3309.4288.9–325.7
2049323.8311.6–334.1308.1287.2–324.1
2050323.3310.3–333.5307.5291–321.5
2051323.6311.2–334.4312.8294.8–326
2052325.1311.7–334.7310.9291.2–323.4
2053323.9310.9–333.8308.3289.5–323.3
2054324.4311.9–335.4308.8292.8–322.3
2055325.3312.6–335308.6290.6–325.1
2056325.9312.4–337.2311.3294.9–326.3
2057326.9311.9–335.2308.5286.7–326.4
2058326.4313–336.3308291.1–325.1
2059326.4313.9–337.8312.7295.8–325.3
2060329.5314.9–338.2313.1294.6–328.6
2061327.9313.6–336.9314.4289.5–331.1
2062327.6312.4–339.1311.4293.4–330.3
2063327.6313.9–339.4314.8296.9–327.3
2064328.8314.4–338.6312.5295.4–330
2065327.6314.3–337.9309.6293.1–329.3
2066328.6314.7–338.5312.1292.6–328
2067328.8314.3–338311.2289.6–329.4
2068329.8314.4–339.9310.8292.4–330.6
2069329.5315.5–339.3315.5296.1–329.5
2070328.6315.1–338.8314.2292.9–330.7
2071331.4315.5–340.4313.8296.4–330.8
2072330.3315.9–339.4314.8296–329.6
2073331.4317.7–341316.5299.9–332.1
2074329.9316.8–341.1317.2295–333.8
2075330.5315.2–340.2317.2295.3–331.4
2076331.5316.2–341.2317.4299.8–335
2077332315.9–341.8317.5297.3–335.9
2078331.4318.2–340.9315.9297.1–331.6
2079331.5316.6–341.5318.5300.5–332.3
2080332.4317.4–343.2319.8297.4–337.5
2081332.3318.4–341.8317.7299.5–334.9
2082332.8317.8–340.4317.9294.8–333
2083333.1318.7–342.6315297.8–332.9
2084333317.8–342.7316295.5–330
2085332.6318.1–342.7322.6300.8–334.7
2086333.1318.9–342.3319.4295.2–335.2
2087332.6318–343.2320.2302.2–334.7
2088334.5319.5–343.1321.4299.8–334.8
2089333.6319–342.6318.9296.4–338.1
2090333.3319.6–343.3317.6304–337.4
2091334.5318.2–343.9320.1299.8–336.1
2092335.1319.7–343.6316.3298–336.4
2093333.9320–344.9316.1297.7–333.7
2094335.6320.4–342.8323.4301.8–337.3
2095335.4319.7–343322.9302.4–338.9
2096334.3319.4–346.1319.6302.8–336.7
2097334.2319.5–343.3319.8299.1–336
2098334.9319.4–343.4320.5303.9–336
2099334.4319.4–344.6319.9303.1–334.4
2100334.7318.7–343.3320.8301.1–336.7

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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