Malawi vs Sudan

Malawi vs Sudan: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 104.3 nights, or 1.76 times that in Malawi.

nights a year · CMIP6

Malawi vs Sudan: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 104.3 nights, or 1.76 times that in Malawi.
MalawiSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malawi at 213.3 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiSudan
2014138.1242.4
2013138.9240
2012137.4242
2011136.6242.2
2010132.4240.6
2009131.4236.5
2008130.8237.1
2007132.8236
2006129.8235.3
2005129.5233.1
2004133.4233.5
2003132.5235.6
2002130.3234.7
2001134235.4
2000126.6230.5
1999124.8232.1
1998127.1230.2
1997124.2231.1
1996121.3227.3
1995120.9227.8
1994118.4225.3
1993113.8219.1
1992114.1217.8
1991120.9227.3
1990123.8227.5
1989120.5223
1988120.8223.1
1987118.8224.4
1986121.1226.4
1985115.7222.1
1984116.2220.7
1983115.5217
1982115.1216.3
1981119223.2
1980116.9220
1979117.7218.4
1978114.8218.5
1977117.2219.3
1976114220.1
1975114215.7
1974115.2217.5
1973114.7220
1972113.8217.9
1971114.1215.5
1970115.8217
1969114.3213.1
1968110214
1967109.8210.3
1966111213.3
1965111.5213.4
1964106.3213.2
1963107.5210.1
1962114.7217
1961116216.9
1960117.4221.3
1959115.6217.8
1958116.4216.2
1957114.6218.9
1956111.4217.2
1955115.2216.6
1954113.9218.9
1953113215.1
1952113.5216.4
1951113.5218.5
1950112.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiSudan
2015145.7126.7–164.3242.3225.3–258.3
2016139.8122.6–157.4241.4223.3–254.1
2017143.6127–161.8243.2223–259.1
2018143.1124.6–162.6242.3226.4–258.5
2019143.8128.3–161.4243.1221.7–260.4
2020145127.3–165.8244.9225.9–261.7
2021145.3128–163.6245.6229.1–261.5
2022151130.1–169.1249230.9–262.3
2023149.2129.5–171.2247.1226.8–263.1
2024152.4130–172.6251.5232.8–266.1
2025151.1129.7–170.4250.7232.4–265.6
2026151.1126.2–173.8250230.8–266.6
2027154.4135.1–173.1248.8228.4–265.6
2028155.5134.6–174249232.2–263.1
2029159.8139.2–178.5251.4232.1–266
2030155.6138.7–174.5252235.4–266.7
2031161.1143.4–177.6253.3234.4–268.9
2032160.8141.3–181.3250.4232.3–266.6
2033161.3135.6–179.2254.4235.3–269.4
2034160.9138.9–185254.2234.5–269.9
2035164.3140.4–189.5258.3240.2–273.6
2036163.8137.6–182.5252.8235.6–268.6
2037166.9144.6–189.2256.7238.6–271.8
2038172.2148.4–191.2258.7244.8–272.1
2039164.8147.3–188.2259.5241.2–272.5
2040164.4146.4–189.7256.4236.7–272.3
2041169.3143.7–192.5259.1241.2–274.5
2042169.8146.3–197.8258.7242–274.7
2043167.5147.1–193.2258.1240.3–272.6
2044172.6148.3–197257.3238.6–274.7
2045170.4153.1–194.7258.8243.1–276.2
2046176.3151.2–203.1261.1241.7–277.6
2047178.7157.8–200.9261.4244.6–278.4
2048180.7158.9–204.1260.4243.4–279.5
2049176.7154–205.4261.9242.6–275.9
2050180.4155.2–204.9263.5245.4–279
2051182.9162.1–207.4263.6246.6–278.8
2052184.9163.2–209.6263.8248.7–278.3
2053177.2149.6–207.4262.8242.4–279.2
2054185.1157.1–208266.3246.6–282.9
2055186.1159.2–212.6265.6245.9–281.4
2056184.6158.5–214.3264.1242.6–281.5
2057184.7159.3–212.3266.4247.6–283.4
2058188.5163.8–214.7265.2247.4–280.3
2059189.8166.9–218.5268.4249.6–285.4
2060192.6163.4–218.1263.6246.7–284.4
2061186.4158.8–216.8266.9250.1–281.9
2062192.3163.9–218.6266.4248.5–285
2063189.2165.2–220.3267.1246.9–283.4
2064197161.3–218269250.7–284.7
2065193.1165.8–225.2269.8253.9–285.6
2066201170.1–224.7271.4251.9–287.3
2067193.1164.2–223.7270.9250–288.4
2068198.6163.7–227.1271.9251.7–289.8
2069199.4165.8–225268251.1–286.2
2070198.7168–226.7269252.3–285.8
2071199.3167.9–233.5275.5254.1–290.4
2072202.3173.2–226.2273.3254.2–289.4
2073205.4168.2–233.4271.9250.7–287.6
2074198.2175.4–227.7270.9249–290.1
2075199.6168.9–228.3273.1254–291.9
2076198.8169.8–225.2272.7255.2–290.9
2077202172.2–231.2274.6255.2–292.7
2078203.5175.8–232.1274.3255.6–291.2
2079203.6172.2–236.1272255.2–288.5
2080204.7172.2–234.3276.6256–292.2
2081202.2174.9–231.3275.1254.1–294.8
2082204.3178.3–228.6272.9258.7–288.6
2083205.8170.7–238.3276.5258–291.7
2084208.1175.9–235.6275.4253–294.9
2085211.1179.4–241275.3258.6–291.6
2086203.3175.4–237276.4256.9–296.6
2087205.3181.2–237.7273.5253.1–293.3
2088211.6174.7–240.6273.6253.7–293.6
2089208.9180.5–237.8276.5256.6–293.4
2090209.4173.4–243276.6256.4–294.6
2091214.3179.7–244.8277.4256.4–296.6
2092213.2176.8–242.3274.6254.3–294.9
2093212.5177.8–242.2278261.9–292.1
2094211.8179.7–241.5280.3262.2–294
2095216.9185–243.8277.5262.6–294
2096213.1182–247.6279.7258.7–297
2097210.8174.9–242.1276.3254.1–297.6
2098214.4181.5–242.2277.7258.2–295.5
2099213.5181.9–244.1276.8257.2–296.2
2100213.3181.5–246.3278.6259–294.3

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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