Malaysia vs Vietnam

Malaysia vs Vietnam: Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 80.4 nights, or 1.33 times that in Vietnam.

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nights a year · CMIP6

Malaysia vs Vietnam: Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 80.4 nights, or 1.33 times that in Vietnam.
MalaysiaVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malaysia at 354.8 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaVietnam
2014323242.6
2013323.9243.6
2012323.3242.4
2011320.9241.9
2010320.9240.9
2009320.3240
2008317.9238.7
2007317.8238
2006317.3239.1
2005318.4238.3
2004319.4241.8
2003316235.9
2002316236.3
2001316.5241.3
2000314.5237
1999312.9236
1998312.5236.8
1997310.6237.1
1996307.1231.4
1995307.3229.9
1994304.1231.2
1993298.2225.3
1992293.6221.9
1991308.9229.8
1990310.4233.1
1989306.9229.2
1988306.8231.7
1987306230.3
1986305.5230.9
1985301.7228
1984302.1230.2
1983297.2224.9
1982302.6227.5
1981303.7229.7
1980303.3228.1
1979302.4228.9
1978301227.5
1977301.3229
1976298.9225.8
1975297.7225.8
1974298.1225.7
1973299.1230.3
1972297225.6
1971298.3225.5
1970296226.1
1969297.4227
1968295.2227.1
1967293.1222.9
1966296.2226.8
1965293.1225.4
1964291.3222.6
1963291.6224.3
1962299.1227.8
1961299.5229.4
1960300.1228.5
1959299.9226.2
1958301.7230.9
1957299228.4
1956298.1228.7
1955299.3227.5
1954296.8226.3
1953298.8228.2
1952299.4228.5
1951299.1229.2
1950300228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaVietnam
2015324.4308.5–333.7245.8228.2–261.9
2016323.8310.5–334.9243.7226.1–259.4
2017325.6309.9–334.4247229.6–260.7
2018325.7310.7–335.4248.3228.8–263.3
2019326.4311.9–335.3248.1229.2–262.8
2020328313.4–337.7248.8229.6–262.9
2021328.8314–336.3251.1233.1–266.7
2022329315.3–339252.4234.3–266.8
2023330.1316–340.5253.4235.4–266.6
2024332319.6–340.7251.3236.7–264.6
2025330.3317.7–342252.4234.1–266.2
2026330.2315.1–342.9252.8232.9–268.5
2027331315.2–342.4253.2237–268.8
2028332.4319–341.9254.3237.7–272
2029334.4322.5–344.9258.1238.5–273.7
2030333.4319.2–342.6256.4240.9–270.1
2031333.8317.1–342.5255.9241.2–270.9
2032336.5323.3–345.9257.4239.1–269.9
2033336.4322.5–343.3258.3241.7–273.2
2034334.8322.7–344.3258.8240.7–275.8
2035334.7323.3–347.9258.6242.5–275.4
2036336.9320.7–346.2258.3239.1–273.8
2037338.3325.4–345.3258.7242.4–272.4
2038339.7326.9–347.4263.4247.6–277.3
2039340326–347.4260.2243.7–275.9
2040338.6325.1–349260.1242.8–274.8
2041340.3326.3–348.1263.1245.9–279
2042339.9326.9–349.6263.6246.5–279
2043338.3324.3–348.3261.4245.5–279.6
2044340.6326.3–350.4263.2245.2–277.6
2045340.9327.4–349.8265.5249.6–281.4
2046343.3327.6–351.4264.9246.8–278.1
2047343325.3–352.9266.9250.4–282.9
2048342.6329–352.5268250.5–283.8
2049343.8331.1–354.1267.8251.2–284.8
2050342.7328.1–353.5268251.2–283.5
2051344.5330.7–354.3270.9254.3–285.4
2052345.1330.3–355268.3253.3–282.8
2053344.2331–353.5268.5250.1–283.2
2054345330.1–354.6269.1250.8–283.6
2055346.1332–354.3270249.8–284.2
2056346.5332.2–356.6271.7254.8–290.1
2057347.9332.3–355.4270253–285.7
2058347333.5–355.6270.7252.9–286.5
2059346.9333.4–356.2273257.6–286.6
2060349.7334.9–357.3275.7255.6–290.6
2061348.4334.1–356.1273.5254.6–289.5
2062348.4331.8–357.7271.4253.1–290.2
2063348.7333.2–357.7272.9252.7–288.1
2064349.1333.8–357.5273.8254.4–288.1
2065348.6334.6–356.8272255.8–286.3
2066349.3335–357.5271.8254.4–287.3
2067349.1334–356.6270.8252.1–287.6
2068350334.6–358.7275.6256.9–292.4
2069349.5334.2–357.9276.4258.5–292
2070349.2336.2–357.7274.6257.8–292.8
2071350.9336.1–358.6276.2255.2–294.1
2072351337.2–357.9277256.8–291.4
2073351.1338.7–359.9278.5262.7–293.4
2074350337.8–359.4277.6259.2–295.8
2075350.5335.4–358.1276.4258.7–294.4
2076351.6337.5–359.7279.2258.5–296.6
2077352.4336.4–359.9280264.9–294.7
2078351.3338.9–358.8278.4258.6–295.5
2079351.8337.9–359.7279.3263.4–293.6
2080352.4338.8–360.7280261.4–296.5
2081352.2337.3–359.7280.4261.2–297.9
2082352.7336.9–358.9280.9258.9–296
2083352.5339.6–360.4278.4261.6–295
2084353.5337.9–360.4279257.4–293.8
2085352.9340.2–360.2281.3265–297.8
2086352.8339.9–360282.3260.2–297.5
2087352.8338.4–361281.9261.3–300.7
2088354340–360.9283.1265.7–301.5
2089353.7339.7–359.9280.8261.2–301.6
2090353.3340.3–360.6280.5264.5–297.6
2091354.7338.9–361283.3264.3–298.9
2092355.3340.4–361.7281.1261.5–299.4
2093353.5339.3–362280.5263.4–296.1
2094355.4341.2–360.4283264.5–300
2095355339.4–360.6285.5264.5–302.9
2096353.6339.6–363.1281.8264.8–299.8
2097354.3339.5–360.6281.5263.3–299
2098354.8340.2–360.7282.5263.9–301.5
2099353.7340–361.8282.7265.1–298
2100354.8340.4–360.8282.7261–298.2

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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