Laos vs Vietnam

Laos vs Vietnam: Tropical nights

Tropical nights in 2014: 192.8 nights in Laos and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 49.8 nights, or 1.26 times that in Laos.

nights a year · CMIP6

Laos vs Vietnam: Tropical nightsTropical nights in 2014: 192.8 nights in Laos and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 49.8 nights, or 1.26 times that in Laos.
LaosVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Laos at 246.3 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearLaosVietnam
2014192.8242.6
2013195.1243.6
2012191.6242.4
2011193241.9
2010190.7240.9
2009189.1240
2008188.6238.7
2007185.3238
2006188.6239.1
2005186.1238.3
2004191.4241.8
2003183.8235.9
2002184.7236.3
2001190.3241.3
2000185.1237
1999183.9236
1998184.9236.8
1997184.9237.1
1996177.4231.4
1995176.6229.9
1994179.4231.2
1993170.4225.3
1992165.3221.9
1991178.5229.8
1990181.2233.1
1989176.1229.2
1988178.1231.7
1987177.3230.3
1986176.9230.9
1985172.3228
1984175.7230.2
1983166.9224.9
1982173.8227.5
1981174.1229.7
1980175.3228.1
1979174.1228.9
1978170.7227.5
1977172.6229
1976169.8225.8
1975169.3225.8
1974171.2225.7
1973177.3230.3
1972169.3225.6
1971168.6225.5
1970169.4226.1
1969171.8227
1968170.3227.1
1967164.6222.9
1966171.4226.8
1965168.3225.4
1964164.5222.6
1963166.3224.3
1962173227.8
1961175229.4
1960173.2228.5
1959170.1226.2
1958176.9230.9
1957171.8228.4
1956173.3228.7
1955172.8227.5
1954171.8226.3
1953171.8228.2
1952173.6228.5
1951175.3229.2
1950172.1228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearLaosVietnam
2015198.2176.6–216.8245.8228.2–261.9
2016193174.6–213.8243.7226.1–259.4
2017198.1178.2–215.1247229.6–260.7
2018198.8178.8–218.7248.3228.8–263.3
2019200.6172.9–217.8248.1229.2–262.8
2020201.8177.8–220248.8229.6–262.9
2021204.2184–224.5251.1233.1–266.7
2022205.2182.2–225.7252.4234.3–266.8
2023206.2187.2–224.3253.4235.4–266.6
2024205.2186.3–221.9251.3236.7–264.6
2025206.1181.2–224252.4234.1–266.2
2026207.5183.6–226.9252.8232.9–268.5
2027206.4185.8–226.4253.2237–268.8
2028208.4186.8–230.5254.3237.7–272
2029215.3189.5–232.4258.1238.5–273.7
2030209.8189.3–227.8256.4240.9–270.1
2031211.6194.2–230.7255.9241.2–270.9
2032211.4191–229.3257.4239.1–269.9
2033212.8193.9–231.8258.3241.7–273.2
2034214.5190.9–236258.8240.7–275.8
2035213.3192.8–234.5258.6242.5–275.4
2036213.6191.7–231.6258.3239.1–273.8
2037215.7195.2–234.2258.7242.4–272.4
2038221.3202.2–238.1263.4247.6–277.3
2039216195.9–235.9260.2243.7–275.9
2040217.2196.2–235.1260.1242.8–274.8
2041221.3199.8–240.8263.1245.9–279
2042221.3200.3–239.4263.6246.5–279
2043218.2199.3–237.8261.4245.5–279.6
2044219.8194.2–237.9263.2245.2–277.6
2045223.9202.3–242.4265.5249.6–281.4
2046222.1198–239264.9246.8–278.1
2047225202.1–243.8266.9250.4–282.9
2048226.8204.9–247.7268250.5–283.8
2049226.6206–249267.8251.2–284.8
2050226.9207.5–245.6268251.2–283.5
2051229.3208.8–247.3270.9254.3–285.4
2052228.7209.4–244.4268.3253.3–282.8
2053227.2206.2–247.2268.5250.1–283.2
2054228206.7–247.3269.1250.8–283.6
2055227.3206.6–248.1270249.8–284.2
2056232.1212.8–253.7271.7254.8–290.1
2057227.9207.9–248.4270253–285.7
2058229.6207.8–249.3270.7252.9–286.5
2059233.1214.1–249.5273257.6–286.6
2060237.7213.2–253.7275.7255.6–290.6
2061233.5210–254.8273.5254.6–289.5
2062230.6209–257.1271.4253.1–290.2
2063232.2211–250.9272.9252.7–288.1
2064235213.9–252273.8254.4–288.1
2065232.1213.7–253.3272255.8–286.3
2066232.1212.3–251.7271.8254.4–287.3
2067231.7205.9–254.2270.8252.1–287.6
2068235.6212.3–256.8275.6256.9–292.4
2069237.4213.9–257.5276.4258.5–292
2070234.4213.7–255.9274.6257.8–292.8
2071236212.9–260.4276.2255.2–294.1
2072239214.7–254.8277256.8–291.4
2073239.6220.8–259278.5262.7–293.4
2074239214.1–260.4277.6259.2–295.8
2075238.6215.1–260.7276.4258.7–294.4
2076240.5216.9–263.9279.2258.5–296.6
2077242.2222.7–262.5280264.9–294.7
2078242.1215.9–260.8278.4258.6–295.5
2079241.1222.6–260.6279.3263.4–293.6
2080240.8220.6–264.8280261.4–296.5
2081242.8217.4–264.5280.4261.2–297.9
2082243.2216.6–262.4280.9258.9–296
2083239.6219.9–261.2278.4261.6–295
2084241.7215.2–260279257.4–293.8
2085243.6221.2–266.3281.3265–297.8
2086244.4218.2–267.7282.3260.2–297.5
2087243.8219.7–267281.9261.3–300.7
2088246.1224.3–269.6283.1265.7–301.5
2089242.8220.1–268.3280.8261.2–301.6
2090242.8226.2–266.1280.5264.5–297.6
2091245.5221.4–267283.3264.3–298.9
2092243.1220.1–266.5281.1261.5–299.4
2093242.1221.2–263.6280.5263.4–296.1
2094245.7224.8–267.6283264.5–300
2095249.4222.7–273.4285.5264.5–302.9
2096244.6221.7–268.3281.8264.8–299.8
2097244.8221–265.4281.5263.3–299
2098245.4224.3–268282.5263.9–301.5
2099247.3220.9–265.1282.7265.1–298
2100246.3220–266.4282.7261–298.2

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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