Guinea vs Malawi

Guinea vs Malawi: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 148.5 nights, or 2.08 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Guinea vs Malawi: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 148.5 nights, or 2.08 times that in Malawi.
GuineaMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guinea at 345.3 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaMalawi
2014286.6138.1
2013285.3138.9
2012292.9137.4
2011288.8136.6
2010285.2132.4
2009282.5131.4
2008279130.8
2007278.9132.8
2006278.8129.8
2005278.9129.5
2004276133.4
2003279.6132.5
2002277.1130.3
2001279.8134
2000273.1126.6
1999267124.8
1998268.4127.1
1997266.6124.2
1996260.4121.3
1995260.3120.9
1994255118.4
1993246.6113.8
1992242.4114.1
1991264.3120.9
1990266.4123.8
1989259.7120.5
1988256.9120.8
1987258.4118.8
1986259.9121.1
1985252.6115.7
1984249.6116.2
1983248.4115.5
1982250115.1
1981253.5119
1980251.2116.9
1979251.2117.7
1978252114.8
1977250.4117.2
1976244114
1975242.3114
1974247.2115.2
1973249.3114.7
1972246.1113.8
1971244.5114.1
1970249115.8
1969241.2114.3
1968241.5110
1967233.3109.8
1966237.7111
1965239.8111.5
1964231106.3
1963225.8107.5
1962246.9114.7
1961246116
1960250.5117.4
1959244.8115.6
1958245.6116.4
1957247.5114.6
1956242.4111.4
1955243.5115.2
1954250.2113.9
1953241.2113
1952240.3113.5
1951248.8113.5
1950240.8112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaMalawi
2015286.7259.9–308.5145.7126.7–164.3
2016288.9262.6–304139.8122.6–157.4
2017291.6265.5–311.4143.6127–161.8
2018295.6269.3–311.8143.1124.6–162.6
2019291.8266.8–313.6143.8128.3–161.4
2020291.2265.6–315.4145127.3–165.8
2021295.8268–316.3145.3128–163.6
2022299.9277.9–322.4151130.1–169.1
2023296273.8–318149.2129.5–171.2
2024302.3276.9–322.8152.4130–172.6
2025298.9275.2–322.4151.1129.7–170.4
2026302.5269.3–323.9151.1126.2–173.8
2027302.6276.3–320.2154.4135.1–173.1
2028308.2285.4–325.8155.5134.6–174
2029309.3280.6–327.2159.8139.2–178.5
2030305.5277.4–322.4155.6138.7–174.5
2031313.2282.2–329.6161.1143.4–177.6
2032307.7287.3–329.5160.8141.3–181.3
2033310.4282.4–337.8161.3135.6–179.2
2034308281.7–327.4160.9138.9–185
2035311.2284.9–333164.3140.4–189.5
2036312.8285.7–334.5163.8137.6–182.5
2037315.5291.8–331.1166.9144.6–189.2
2038317.9296.3–333.9172.2148.4–191.2
2039314.1291.6–336164.8147.3–188.2
2040316.1292.9–334.6164.4146.4–189.7
2041315.4296.5–335.7169.3143.7–192.5
2042316290.7–336.6169.8146.3–197.8
2043314.8291.1–332.7167.5147.1–193.2
2044319.8289.7–337.5172.6148.3–197
2045318.6296.4–339170.4153.1–194.7
2046321.4295.7–337176.3151.2–203.1
2047324.6297.9–342.8178.7157.8–200.9
2048324.8304.4–341.1180.7158.9–204.1
2049324.2302.4–340.2176.7154–205.4
2050322.4299.7–339.6180.4155.2–204.9
2051326.1300.4–342182.9162.1–207.4
2052324301.5–342.8184.9163.2–209.6
2053325.6298–345.3177.2149.6–207.4
2054329.5301.3–345.1185.1157.1–208
2055324.4305.3–342.4186.1159.2–212.6
2056329.6299.4–349.4184.6158.5–214.3
2057332.4301.5–351184.7159.3–212.3
2058328.8305.6–347.6188.5163.8–214.7
2059330.3310.8–350.5189.8166.9–218.5
2060328.3309.4–348.2192.6163.4–218.1
2061330.5304.6–352.8186.4158.8–216.8
2062327.7307.3–346.5192.3163.9–218.6
2063333.4311–349.1189.2165.2–220.3
2064330.9310.6–351.6197161.3–218
2065331.4309.7–350.6193.1165.8–225.2
2066331.8312.3–347.4201170.1–224.7
2067329.1304–348.6193.1164.2–223.7
2068335.4309.6–354.5198.6163.7–227.1
2069333.5313–351.4199.4165.8–225
2070331.7310.9–352.7198.7168–226.7
2071334.6315.6–352.4199.3167.9–233.5
2072338.3317–353.2202.3173.2–226.2
2073334309.7–351.6205.4168.2–233.4
2074330.2310.6–352198.2175.4–227.7
2075334312–352.2199.6168.9–228.3
2076338.4321.3–352.1198.8169.8–225.2
2077341.4318.4–355.6202172.2–231.2
2078338.1316.6–355.8203.5175.8–232.1
2079337.5318.8–355.3203.6172.2–236.1
2080339.8315.4–358204.7172.2–234.3
2081339.3318.2–356.6202.2174.9–231.3
2082337.9316.1–353.3204.3178.3–228.6
2083339.2320.8–355.8205.8170.7–238.3
2084340.5321–354.6208.1175.9–235.6
2085343.8319.9–358.1211.1179.4–241
2086342.2318.7–358.7203.3175.4–237
2087340.7319.9–357.6205.3181.2–237.7
2088341.2318.3–354.9211.6174.7–240.6
2089337.9318.6–354.8208.9180.5–237.8
2090341.1315–356209.4173.4–243
2091339.7319.7–355.5214.3179.7–244.8
2092339.7320.4–356.8213.2176.8–242.3
2093341.8325.1–356.2212.5177.8–242.2
2094342.2324–356.4211.8179.7–241.5
2095340.7323.5–359.3216.9185–243.8
2096343.2324–359.7213.1182–247.6
2097340.3313.8–353.8210.8174.9–242.1
2098339.9318.8–357214.4181.5–242.2
2099341.5324.6–355.9213.5181.9–244.1
2100345.3319.6–357.9213.3181.5–246.3

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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