Brunei vs Malaysia

Brunei vs Malaysia: Tropical nights

Tropical nights in 2014: 359.3 nights in Brunei and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brunei, by 36.3 nights, or 1.11 times that in Malaysia.

Watch it change on the map

nights a year · CMIP6

Brunei vs Malaysia: Tropical nightsTropical nights in 2014: 359.3 nights in Brunei and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brunei, by 36.3 nights, or 1.11 times that in Malaysia.
BruneiMalaysiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brunei has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brunei at 364.9 nights and Malaysia at 354.8 nights in 2100.

Every year

nights a year · CMIP6

YearBruneiMalaysia
2014359.3323
2013359.3323.9
2012359323.3
2011358.5320.9
2010358.6320.9
2009358.6320.3
2008357.6317.9
2007357.7317.8
2006357317.3
2005357.9318.4
2004357.4319.4
2003357.1316
2002356.9316
2001357.2316.5
2000356.5314.5
1999356.3312.9
1998355.4312.5
1997354.7310.6
1996353.4307.1
1995352.8307.3
1994352.1304.1
1993348.3298.2
1992346293.6
1991353.9308.9
1990355310.4
1989353.9306.9
1988353.3306.8
1987353306
1986352.5305.5
1985350.1301.7
1984350.8302.1
1983349.2297.2
1982351302.6
1981351.1303.7
1980352.1303.3
1979351.3302.4
1978350.1301
1977350.5301.3
1976348.9298.9
1975348.6297.7
1974348.9298.1
1973349.5299.1
1972348.4297
1971348.5298.3
1970347.6296
1969348.2297.4
1968347.5295.2
1967345.4293.1
1966348296.2
1965345.5293.1
1964344.6291.3
1963346.1291.6
1962349.2299.1
1961349.5299.5
1960350.2300.1
1959350.1299.9
1958350.6301.7
1957348.6299
1956348.4298.1
1955350.1299.3
1954348.6296.8
1953348.9298.8
1952349.5299.4
1951349.2299.1
1950350.7300
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBruneiMalaysia
2015359.8352.1–361.6324.4308.5–333.7
2016360352.2–362.5323.8310.5–334.9
2017359.9352.8–362.1325.6309.9–334.4
2018359.8352.3–361.8325.7310.7–335.4
2019360.3352.3–362.2326.4311.9–335.3
2020360.6352.6–363.6328313.4–337.7
2021360.7353.6–362.2328.8314–336.3
2022360.9354.4–362.9329315.3–339
2023361.1353.2–363.2330.1316–340.5
2024361.6354.7–364.1332319.6–340.7
2025361.4354.2–363.7330.3317.7–342
2026360.9353.1–363.8330.2315.1–342.9
2027361.7353.2–363.7331315.2–342.4
2028361.8354.7–364.7332.4319–341.9
2029362.4355.3–364.3334.4322.5–344.9
2030362354.4–363.6333.4319.2–342.6
2031362353.6–363.9333.8317.1–342.5
2032362.6355.8–365.1336.5323.3–345.9
2033362.6355.4–363.9336.4322.5–343.3
2034362.2355.9–364334.8322.7–344.3
2035362.2355.9–364.4334.7323.3–347.9
2036362.6355.2–365336.9320.7–346.2
2037362.8356.6–364.3338.3325.4–345.3
2038363.3355.9–364.5339.7326.9–347.4
2039363355.8–364.5340326–347.4
2040363.1356.4–365.4338.6325.1–349
2041363.3356.7–364.5340.3326.3–348.1
2042363.3356.8–364.7339.9326.9–349.6
2043363356.2–364.6338.3324.3–348.3
2044363.6356.5–365.6340.6326.3–350.4
2045363.3356.7–364.7340.9327.4–349.8
2046363.8356.9–364.7343.3327.6–351.4
2047363.6356.7–364.9343325.3–352.9
2048363.6357–365.8342.6329–352.5
2049363.9357.4–364.9343.8331.1–354.1
2050363.6357–364.9342.7328.1–353.5
2051364.1357.3–364.9344.5330.7–354.3
2052364.1358–365.9345.1330.3–355
2053363.9357.7–364.9344.2331–353.5
2054364.1357.8–364.9345330.1–354.6
2055364.2357.9–364.9346.1332–354.3
2056364.3358–365.9346.5332.2–356.6
2057364.4358–364.9347.9332.3–355.4
2058364.3358.4–364.9347333.5–355.6
2059364.5358.4–364.9346.9333.4–356.2
2060364.6358.6–365.9349.7334.9–357.3
2061364.4358.5–364.9348.4334.1–356.1
2062364.6357.9–364.9348.4331.8–357.7
2063364.4358–364.9348.7333.2–357.7
2064364.7358.1–365.9349.1333.8–357.5
2065364.6358.6–364.9348.6334.6–356.8
2066364.5358.7–364.9349.3335–357.5
2067364.6358.1–364.9349.1334–356.6
2068364.6358.5–365.9350334.6–358.7
2069364.6357.7–364.9349.5334.2–357.9
2070364.7358.7–364.9349.2336.2–357.7
2071364.6358.8–364.9350.9336.1–358.6
2072364.7358.8–365.9351337.2–357.9
2073364.8359.1–364.9351.1338.7–359.9
2074364.6358.9–364.9350337.8–359.4
2075364.7358.7–364.9350.5335.4–358.1
2076364.7359.1–365.9351.6337.5–359.7
2077364.9358.9–365352.4336.4–359.9
2078364.8359.2–364.9351.3338.9–358.8
2079364.8358.8–365351.8337.9–359.7
2080364.8359.1–366352.4338.8–360.7
2081364.8358.9–365352.2337.3–359.7
2082364.9358.9–365352.7336.9–358.9
2083364.8359.2–365352.5339.6–360.4
2084364.9359–366353.5337.9–360.4
2085364.9359.3–365352.9340.2–360.2
2086364.8359.2–365352.8339.9–360
2087364.8359–365352.8338.4–361
2088364.9359.5–366354340–360.9
2089364.8359.1–365353.7339.7–359.9
2090364.8359.4–365353.3340.3–360.6
2091364.9359.3–365354.7338.9–361
2092364.9359.1–366355.3340.4–361.7
2093364.9359.4–365353.5339.3–362
2094364.9359.3–365355.4341.2–360.4
2095364.9359.1–365355339.4–360.6
2096364.9359.1–366353.6339.6–363.1
2097364.9359.1–365354.3339.5–360.6
2098364.9359.1–365354.8340.2–360.7
2099364.9359.2–365353.7340–361.8
2100364.9359.2–365354.8340.4–360.8

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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