Cambodia vs Laos

Cambodia vs Laos: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 192.8 nights in Laos, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 144.6 nights, or 1.75 times that in Laos.

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nights a year · CMIP6

Cambodia vs Laos: Tropical nightsTropical nights in 2014: 337.4 nights in Cambodia and 192.8 nights in Laos, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 144.6 nights, or 1.75 times that in Laos.
CambodiaLaosCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cambodia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cambodia at 357.6 nights and Laos at 246.3 nights in 2100.

Every year

nights a year · CMIP6

YearCambodiaLaos
2014337.4192.8
2013342.5195.1
2012340.1191.6
2011338.3193
2010338.2190.7
2009339.2189.1
2008334.9188.6
2007336.1185.3
2006336188.6
2005334186.1
2004338.1191.4
2003332.9183.8
2002333.3184.7
2001337.1190.3
2000335.9185.1
1999335.1183.9
1998334.8184.9
1997336.8184.9
1996330.5177.4
1995328.7176.6
1994334.3179.4
1993329.9170.4
1992321.5165.3
1991328.1178.5
1990333.3181.2
1989330.3176.1
1988332178.1
1987329.7177.3
1986330.9176.9
1985330.8172.3
1984331.2175.7
1983328.7166.9
1982329.3173.8
1981331.2174.1
1980329.9175.3
1979330.4174.1
1978327.5170.7
1977331.6172.6
1976329.2169.8
1975328.1169.3
1974326.8171.2
1973331.2177.3
1972327.1169.3
1971327.4168.6
1970327.9169.4
1969327.4171.8
1968327.6170.3
1967323.9164.6
1966326.4171.4
1965329.8168.3
1964327.1164.5
1963328.6166.3
1962326.2173
1961332.3175
1960329173.2
1959328.5170.1
1958332.7176.9
1957331.1171.8
1956330173.3
1955326.8172.8
1954329171.8
1953329.6171.8
1952329.2173.6
1951330.9175.3
1950328.6172.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaLaos
2015340323.1–351.2198.2176.6–216.8
2016339.6325.3–352.5193174.6–213.8
2017341.9327.4–350.7198.1178.2–215.1
2018343.5320.1–353.1198.8178.8–218.7
2019340.8327.2–352.1200.6172.9–217.8
2020343325.7–352.6201.8177.8–220
2021345.2328.4–353204.2184–224.5
2022344.4332.5–353.4205.2182.2–225.7
2023344.7333.7–355.1206.2187.2–224.3
2024342.1327.5–352.9205.2186.3–221.9
2025343.4332.6–351206.1181.2–224
2026343.9324.7–353.4207.5183.6–226.9
2027345.3330.6–354.2206.4185.8–226.4
2028346.5331–356.9208.4186.8–230.5
2029346.5330.1–357.3215.3189.5–232.4
2030346.7332.4–355.4209.8189.3–227.8
2031347.7332.3–356.7211.6194.2–230.7
2032347.5332.3–354.7211.4191–229.3
2033346.5331.7–358.1212.8193.9–231.8
2034348.1335.3–357214.5190.9–236
2035347.7330.1–357.7213.3192.8–234.5
2036348.2329.7–355.8213.6191.7–231.6
2037347.4334.6–355.4215.7195.2–234.2
2038348.9335.4–357.3221.3202.2–238.1
2039349.3335.7–358.3216195.9–235.9
2040348.9339.2–356.6217.2196.2–235.1
2041349.9337.3–358.1221.3199.8–240.8
2042348.1336.5–357.9221.3200.3–239.4
2043348.4336.5–357.3218.2199.3–237.8
2044348.6337.6–357.8219.8194.2–237.9
2045349.4335.2–360.2223.9202.3–242.4
2046351.3337.9–359.4222.1198–239
2047352.1341.4–359.4225202.1–243.8
2048351.1338.7–360.6226.8204.9–247.7
2049352.5339.7–360226.6206–249
2050352.6340.1–359.7226.9207.5–245.6
2051354.4343.2–360.9229.3208.8–247.3
2052353.3343.5–359.5228.7209.4–244.4
2053351.8340.5–358.9227.2206.2–247.2
2054352343.5–359.3228206.7–247.3
2055352.8339.5–359.2227.3206.6–248.1
2056353.4339.8–360.9232.1212.8–253.7
2057352.1338.8–359.4227.9207.9–248.4
2058353.3343–360.6229.6207.8–249.3
2059355341.5–359.7233.1214.1–249.5
2060354344.1–362237.7213.2–253.7
2061355338.3–361233.5210–254.8
2062352.2341.4–361230.6209–257.1
2063356344–360.6232.2211–250.9
2064354.4341.4–361.7235213.9–252
2065352.7343.4–359.8232.1213.7–253.3
2066353.7341.8–360.2232.1212.3–251.7
2067352.9341.2–360.3231.7205.9–254.2
2068354.6343.6–361.1235.6212.3–256.8
2069355.6344.7–361.2237.4213.9–257.5
2070355343.5–361.4234.4213.7–255.9
2071356346.1–361.1236212.9–260.4
2072356.6345.8–361.5239214.7–254.8
2073357.1347.3–362239.6220.8–259
2074356.1341.9–362.3239214.1–260.4
2075354.9340.7–361.9238.6215.1–260.7
2076357.6347.1–362.9240.5216.9–263.9
2077356.7345.6–362.3242.2222.7–262.5
2078355345.5–361.7242.1215.9–260.8
2079356.5347.1–361.5241.1222.6–260.6
2080358347.4–363.9240.8220.6–264.8
2081355.8345.5–362.5242.8217.4–264.5
2082354.6345.1–360.9243.2216.6–262.4
2083355.2345.7–361.7239.6219.9–261.2
2084355.7343.4–361.6241.7215.2–260
2085358.4350–362.5243.6221.2–266.3
2086356.6345.5–361.8244.4218.2–267.7
2087357.5346.7–362.5243.8219.7–267
2088357347.6–362.4246.1224.3–269.6
2089357.2346.7–361.8242.8220.1–268.3
2090355.7347.6–362.1242.8226.2–266.1
2091357.8345.5–362.6245.5221.4–267
2092355.5343.9–362.3243.1220.1–266.5
2093355.6344.4–361.2242.1221.2–263.6
2094359.2347.3–362.9245.7224.8–267.6
2095358.6347.7–362.8249.4222.7–273.4
2096357.8348.4–363.2244.6221.7–268.3
2097356.8346.5–362.4244.8221–265.4
2098356.2346.9–362.6245.4224.3–268
2099356.8346.4–362.7247.3220.9–265.1
2100357.6347.9–363.1246.3220–266.4

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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