Congo - Kinshasa vs Malawi

Congo - Kinshasa vs Malawi: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 110.4 nights, or 1.8 times that in Malawi.

nights a year · CMIP6

Congo - Kinshasa vs Malawi: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 110.4 nights, or 1.8 times that in Malawi.
Congo - KinshasaMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Congo - Kinshasa at 324.1 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaMalawi
2014248.5138.1
2013249.2138.9
2012250.9137.4
2011248.7136.6
2010243.5132.4
2009243131.4
2008239.7130.8
2007237.7132.8
2006239129.8
2005237.3129.5
2004238.5133.4
2003239.3132.5
2002236.5130.3
2001242.5134
2000233.5126.6
1999226.2124.8
1998230.6127.1
1997226.6124.2
1996218.6121.3
1995217.2120.9
1994211.9118.4
1993201.5113.8
1992197.6114.1
1991220.1120.9
1990225.4123.8
1989218.4120.5
1988216.7120.8
1987216.6118.8
1986216.8121.1
1985206.1115.7
1984205.9116.2
1983204.3115.5
1982204.5115.1
1981215.2119
1980211.4116.9
1979208.5117.7
1978202.6114.8
1977206.5117.2
1976201.9114
1975199114
1974204115.2
1973208.4114.7
1972202.5113.8
1971196.3114.1
1970201.7115.8
1969197.3114.3
1968199110
1967188.8109.8
1966194.7111
1965189111.5
1964177.3106.3
1963178.5107.5
1962203.2114.7
1961203.9116
1960209.8117.4
1959203.3115.6
1958204.3116.4
1957204114.6
1956197.6111.4
1955200.5115.2
1954201113.9
1953204.6113
1952201.9113.5
1951204.8113.5
1950200.8112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaMalawi
2015256.6217.3–277.7145.7126.7–164.3
2016247.7213.3–269.3139.8122.6–157.4
2017257.4226.6–278.3143.6127–161.8
2018258.8228.1–276.8143.1124.6–162.6
2019255.8222.6–278.7143.8128.3–161.4
2020259.4227.4–282.3145127.3–165.8
2021262.6234.7–283.8145.3128–163.6
2022264.8235.1–288.5151130.1–169.1
2023263.9236.8–287.2149.2129.5–171.2
2024270.9237.9–290152.4130–172.6
2025266.1230.6–292.2151.1129.7–170.4
2026267.4226.8–294.5151.1126.2–173.8
2027268.6230.6–293.6154.4135.1–173.1
2028271.7239.7–295.9155.5134.6–174
2029275.9249.3–296.6159.8139.2–178.5
2030270.4241.7–296.1155.6138.7–174.5
2031279.4246.6–297.5161.1143.4–177.6
2032277.9249.4–302.3160.8141.3–181.3
2033276.9245.9–301.6161.3135.6–179.2
2034276.7247.4–305.6160.9138.9–185
2035281243.7–305.1164.3140.4–189.5
2036278.3244.7–304.9163.8137.6–182.5
2037286.9256.1–308.6166.9144.6–189.2
2038289261.5–307.1172.2148.4–191.2
2039284.7253.4–307.3164.8147.3–188.2
2040284.5254.7–311.5164.4146.4–189.7
2041289.9258.4–310.8169.3143.7–192.5
2042286.9254.1–314.3169.8146.3–197.8
2043285.9253–313167.5147.1–193.2
2044288.3253.6–312.5172.6148.3–197
2045289.4260.1–314.1170.4153.1–194.7
2046298.3261.3–317.3176.3151.2–203.1
2047298.5268.2–317.8178.7157.8–200.9
2048299.1268–320.8180.7158.9–204.1
2049300.3269.6–320.4176.7154–205.4
2050297.8267.2–320.6180.4155.2–204.9
2051298.4272.3–323.1182.9162.1–207.4
2052300.2271.5–324184.9163.2–209.6
2053298.7265.5–322.6177.2149.6–207.4
2054300.6269.6–322.8185.1157.1–208
2055301.9274.9–325.6186.1159.2–212.6
2056302.1266.2–328.3184.6158.5–214.3
2057305.1274.4–326.5184.7159.3–212.3
2058305.3274.1–327.1188.5163.8–214.7
2059305.4279–329.6189.8166.9–218.5
2060310.7273.5–330.2192.6163.4–218.1
2061307266.1–329.8186.4158.8–216.8
2062308.8269.1–332192.3163.9–218.6
2063308.4277.6–328.4189.2165.2–220.3
2064310.6278.4–329.6197161.3–218
2065311.9282.4–331.2193.1165.8–225.2
2066310.4284.2–330.3201170.1–224.7
2067308.8275.9–334193.1164.2–223.7
2068313.9280.8–334.6198.6163.7–227.1
2069312.1270.6–332.7199.4165.8–225
2070309.6278–334198.7168–226.7
2071312.6285–336.5199.3167.9–233.5
2072317287.7–334.6202.3173.2–226.2
2073316.2291.2–337.1205.4168.2–233.4
2074311.6284.5–334.9198.2175.4–227.7
2075312.3279.3–335.2199.6168.9–228.3
2076315.9288.7–337.1198.8169.8–225.2
2077318.5292.6–338.2202172.2–231.2
2078315287.3–337.1203.5175.8–232.1
2079314.8286.3–336203.6172.2–236.1
2080318.5286.8–337.8204.7172.2–234.3
2081318.4287.8–336.7202.2174.9–231.3
2082318.7289.8–336.5204.3178.3–228.6
2083317.4290.6–340.9205.8170.7–238.3
2084321.6293.8–339.8208.1175.9–235.6
2085324.4294.3–341.4211.1179.4–241
2086319290.7–340.7203.3175.4–237
2087318.3291.9–339.6205.3181.2–237.7
2088320.9292.9–340211.6174.7–240.6
2089322.1293.9–339.8208.9180.5–237.8
2090320.4295.5–341.7209.4173.4–243
2091325.4294.3–343.3214.3179.7–244.8
2092321.5294.4–342.4213.2176.8–242.3
2093323.1297.8–341.2212.5177.8–242.2
2094323.1296.5–341.1211.8179.7–241.5
2095325.6299.1–343.7216.9185–243.8
2096321.8296.2–344.1213.1182–247.6
2097321.5292.6–342210.8174.9–242.1
2098324.2295.1–342.8214.4181.5–242.2
2099322.8293.7–344.6213.5181.9–244.1
2100324.1292.1–344.1213.3181.5–246.3

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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