Malawi vs South Sudan

Malawi vs South Sudan: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 205.6 nights, or 2.49 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Malawi vs South Sudan: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 205.6 nights, or 2.49 times that in Malawi.
MalawiSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South 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 South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiSouth Sudan
2014138.1343.7
2013138.9342.1
2012137.4342.8
2011136.6343.3
2010132.4341.9
2009131.4338.8
2008130.8339.8
2007132.8336.9
2006129.8339
2005129.5336.8
2004133.4336.6
2003132.5338.9
2002130.3336.6
2001134338.7
2000126.6334.6
1999124.8331.8
1998127.1333.6
1997124.2334.5
1996121.3330.7
1995120.9329.6
1994118.4328.2
1993113.8321.9
1992114.1321.5
1991120.9329.1
1990123.8332.6
1989120.5329
1988120.8330.5
1987118.8328.8
1986121.1330.4
1985115.7327.1
1984116.2324.1
1983115.5322.8
1982115.1322.8
1981119329.9
1980116.9326.5
1979117.7325.3
1978114.8324.1
1977117.2325
1976114322.6
1975114320.8
1974115.2320.1
1973114.7325.4
1972113.8324.7
1971114.1319.9
1970115.8322.3
1969114.3318.5
1968110318.3
1967109.8315.6
1966111317.2
1965111.5316.5
1964106.3312.9
1963107.5309.8
1962114.7323.9
1961116323.3
1960117.4324.8
1959115.6321.5
1958116.4320.2
1957114.6322.1
1956111.4319.5
1955115.2317
1954113.9322.4
1953113321.6
1952113.5322.4
1951113.5323.9
1950112.8318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiSouth Sudan
2015145.7126.7–164.3342.7327.5–353.3
2016139.8122.6–157.4342.1325.1–351.1
2017143.6127–161.8344.5326.9–353.7
2018143.1124.6–162.6344.1324.9–353.7
2019143.8128.3–161.4344.5324–354.2
2020145127.3–165.8344.9326.9–355.6
2021145.3128–163.6347.3329.2–355.3
2022151130.1–169.1344.5326.1–355.5
2023149.2129.5–171.2347.2329.2–357
2024152.4130–172.6350.4331.6–357.9
2025151.1129.7–170.4347.1330.2–357.7
2026151.1126.2–173.8347.6329.5–356.7
2027154.4135.1–173.1346327.1–356.1
2028155.5134.6–174349.4333.5–357.3
2029159.8139.2–178.5348.6337.5–355.6
2030155.6138.7–174.5349.3335.5–357.2
2031161.1143.4–177.6351.3336.3–357.6
2032160.8141.3–181.3348.6333.6–357.7
2033161.3135.6–179.2350.8336.7–359.4
2034160.9138.9–185350.2337.5–358.3
2035164.3140.4–189.5352.3331–359.5
2036163.8137.6–182.5352340.8–359.1
2037166.9144.6–189.2351.9337.4–359.5
2038172.2148.4–191.2354.3341.9–359.6
2039164.8147.3–188.2353.8340.6–360
2040164.4146.4–189.7353.5338.7–360.2
2041169.3143.7–192.5353.2336.9–360.2
2042169.8146.3–197.8351.9336.9–360.3
2043167.5147.1–193.2353.2336.2–359.5
2044172.6148.3–197353.7339.9–361.1
2045170.4153.1–194.7353.7342.2–360.6
2046176.3151.2–203.1355.4342.2–361
2047178.7157.8–200.9355.7344–361.2
2048180.7158.9–204.1354.7342.5–361.6
2049176.7154–205.4356.7346.4–361.1
2050180.4155.2–204.9356.8345.6–361.7
2051182.9162.1–207.4356345.4–361.8
2052184.9163.2–209.6355.3343.8–362.2
2053177.2149.6–207.4355.5343.4–361.7
2054185.1157.1–208356.9345.2–362.1
2055186.1159.2–212.6356.9345–361.7
2056184.6158.5–214.3356.7345.7–363.1
2057184.7159.3–212.3358.4349.2–362.6
2058188.5163.8–214.7357.7345–361.8
2059189.8166.9–218.5358.6348.4–362.6
2060192.6163.4–218.1357.7344.7–363.8
2061186.4158.8–216.8358.2345.8–362.7
2062192.3163.9–218.6357.4345.2–363.1
2063189.2165.2–220.3358.8347.3–362.6
2064197161.3–218358.9348.4–363.3
2065193.1165.8–225.2359.1351.1–362.9
2066201170.1–224.7359.2350.6–363.1
2067193.1164.2–223.7358.6347.6–363.3
2068198.6163.7–227.1359.9350.3–364.4
2069199.4165.8–225357.6347–363.1
2070198.7168–226.7359.5350.4–363
2071199.3167.9–233.5359.6350.5–363.2
2072202.3173.2–226.2360.2348.4–364.2
2073205.4168.2–233.4359.3350.3–363.5
2074198.2175.4–227.7359.5348–363.3
2075199.6168.9–228.3359.9348.5–363.4
2076198.8169.8–225.2359.4350.5–364
2077202172.2–231.2359.9352.2–363.7
2078203.5175.8–232.1360351.2–363.4
2079203.6172.2–236.1359.8350.9–363.3
2080204.7172.2–234.3361.3349.8–364.6
2081202.2174.9–231.3360.4350.5–363.9
2082204.3178.3–228.6360.3351–363.3
2083205.8170.7–238.3360351.1–363.8
2084208.1175.9–235.6360.8350.8–364.9
2085211.1179.4–241361352.3–363.7
2086203.3175.4–237360.4352.5–364.1
2087205.3181.2–237.7359.7347.8–363.8
2088211.6174.7–240.6360.3352.2–364.7
2089208.9180.5–237.8360.2352.3–363.8
2090209.4173.4–243360.2351.3–363.9
2091214.3179.7–244.8360.9351.6–364.1
2092213.2176.8–242.3360.7352.4–364.7
2093212.5177.8–242.2361.6354.1–363.9
2094211.8179.7–241.5361.3353.8–364.3
2095216.9185–243.8361.5353.2–364
2096213.1182–247.6361.1352.8–365.1
2097210.8174.9–242.1360.7351.9–364.2
2098214.4181.5–242.2361.5352.6–364.1
2099213.5181.9–244.1361.2352.4–364.1
2100213.3181.5–246.3361.1352.6–364.2

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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