Egypt vs Vietnam

Egypt vs Vietnam: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 97.6 nights, or 1.67 times that in Egypt.

nights a year · CMIP6

Egypt vs Vietnam: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 97.6 nights, or 1.67 times that in Egypt.
EgyptVietnamCMIP6 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 Egypt at 183.4 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptVietnam
2014145242.6
2013145243.6
2012145.1242.4
2011144.7241.9
2010143.5240.9
2009140.2240
2008142.6238.7
2007140.5238
2006139.6239.1
2005140238.3
2004141.3241.8
2003141235.9
2002137.7236.3
2001139241.3
2000134.8237
1999135.5236
1998133236.8
1997134237.1
1996132.1231.4
1995130.2229.9
1994129.8231.2
1993123.6225.3
1992126.1221.9
1991129.7229.8
1990129.7233.1
1989126229.2
1988124.3231.7
1987125.8230.3
1986128.9230.9
1985125.7228
1984119.4230.2
1983119.4224.9
1982120.7227.5
1981122.6229.7
1980124.9228.1
1979119.2228.9
1978122.6227.5
1977121.3229
1976123.2225.8
1975121.9225.8
1974123.1225.7
1973123.5230.3
1972120.1225.6
1971120.7225.5
1970119.7226.1
1969118.3227
1968119.4227.1
1967116.2222.9
1966116.1226.8
1965112.9225.4
1964116.4222.6
1963120.2224.3
1962118.9227.8
1961118.7229.4
1960123.6228.5
1959123.2226.2
1958120.7230.9
1957122.4228.4
1956122.7228.7
1955119.4227.5
1954120.8226.3
1953121.3228.2
1952120.7228.5
1951121.2229.2
1950118.8228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptVietnam
2015149.6131.4–164.2245.8228.2–261.9
2016147.7133.5–160.2243.7226.1–259.4
2017150.8134.8–163.2247229.6–260.7
2018147.4133.4–165.6248.3228.8–263.3
2019149.6132.7–164248.1229.2–262.8
2020150.8136.4–164.7248.8229.6–262.9
2021152.1137.8–168.1251.1233.1–266.7
2022154138.1–170.6252.4234.3–266.8
2023154.4139–168.4253.4235.4–266.6
2024155.8141.7–168.5251.3236.7–264.6
2025154.5139.6–168.1252.4234.1–266.2
2026155.1144.5–165.9252.8232.9–268.5
2027154.2139.5–166.3253.2237–268.8
2028154.5141.8–168.6254.3237.7–272
2029156.3139.9–169.5258.1238.5–273.7
2030156.3143.1–169.1256.4240.9–270.1
2031155.5141.5–171.2255.9241.2–270.9
2032158.3144.6–170.4257.4239.1–269.9
2033159.9143.8–172.9258.3241.7–273.2
2034159.8144.9–173.2258.8240.7–275.8
2035163.5146.6–175.8258.6242.5–275.4
2036156.2143.7–170.6258.3239.1–273.8
2037158.8142.9–173.8258.7242.4–272.4
2038164.9146.1–177.8263.4247.6–277.3
2039161.8146.1–180.1260.2243.7–275.9
2040161.6147.9–176.5260.1242.8–274.8
2041163.7149.4–177.3263.1245.9–279
2042166.5149.7–180.6263.6246.5–279
2043163.6150.3–176.8261.4245.5–279.6
2044162.2147–178263.2245.2–277.6
2045167.2152.5–181265.5249.6–281.4
2046166149–181.1264.9246.8–278.1
2047165.9151.8–181.5266.9250.4–282.9
2048167.2154.5–180.1268250.5–283.8
2049165.3148.7–177.9267.8251.2–284.8
2050170152.8–183268251.2–283.5
2051165.6152.7–179.5270.9254.3–285.4
2052167.3156–180.2268.3253.3–282.8
2053170.1153.6–183.8268.5250.1–283.2
2054169153.3–183269.1250.8–283.6
2055170.5153.5–183.3270249.8–284.2
2056168.3151.2–181.4271.7254.8–290.1
2057166.8150.7–185.3270253–285.7
2058171.8154.2–188.2270.7252.9–286.5
2059173.3157.8–188.6273257.6–286.6
2060170.5154.8–189.3275.7255.6–290.6
2061170.3155.1–184.6273.5254.6–289.5
2062172.1155.2–185.7271.4253.1–290.2
2063169.7152.8–182.6272.9252.7–288.1
2064172.3155.9–187.2273.8254.4–288.1
2065173.3159.7–189.9272255.8–286.3
2066170155–187.7271.8254.4–287.3
2067176.2161.5–190270.8252.1–287.6
2068174.6157.3–193.1275.6256.9–292.4
2069175.8158.8–191.7276.4258.5–292
2070173.3158.3–191.7274.6257.8–292.8
2071176.8158.1–194.7276.2255.2–294.1
2072177.6160.8–192.1277256.8–291.4
2073176159.2–189.3278.5262.7–293.4
2074171.9156.5–194.1277.6259.2–295.8
2075171.8157–191.9276.4258.7–294.4
2076177161–194.6279.2258.5–296.6
2077179.7157–194.1280264.9–294.7
2078178.4161–195278.4258.6–295.5
2079178.2160.2–193.7279.3263.4–293.6
2080178.5163–193.3280261.4–296.5
2081177.2160–192.8280.4261.2–297.9
2082178.8164.5–193.3280.9258.9–296
2083180.6164.4–195.7278.4261.6–295
2084181.4162.4–197.8279257.4–293.8
2085178.8163–196.7281.3265–297.8
2086181.9166.6–198.8282.3260.2–297.5
2087178156.4–194.3281.9261.3–300.7
2088177.8163.5–196283.1265.7–301.5
2089180.9163.5–198.9280.8261.2–301.6
2090179.9162.4–197.8280.5264.5–297.6
2091184.2165.1–198.9283.3264.3–298.9
2092180.3162.9–196.3281.1261.5–299.4
2093181.1166.1–198.2280.5263.4–296.1
2094185.4168–198.9283264.5–300
2095181.9165.5–197.3285.5264.5–302.9
2096183.1163.5–200.3281.8264.8–299.8
2097181.5165.4–198.9281.5263.3–299
2098181.7162.1–198.8282.5263.9–301.5
2099179.9164.2–197.8282.7265.1–298
2100183.4162.9–198.1282.7261–298.2

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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