Congo - Kinshasa vs Zambia

Congo - Kinshasa vs Zambia: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 185.6 nights, or 3.95 times that in Zambia.

nights a year · CMIP6

Congo - Kinshasa vs Zambia: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 185.6 nights, or 3.95 times that in Zambia.
Congo - KinshasaZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaZambia
2014248.562.9
2013249.264.7
2012250.963.9
2011248.761.5
2010243.559.3
200924357.5
2008239.756
2007237.755.1
200623955.9
2005237.354.5
2004238.558.4
2003239.356.6
2002236.555
2001242.559
2000233.552.9
1999226.248
1998230.651.3
1997226.647.8
1996218.643.5
1995217.243.9
1994211.941.6
1993201.535.3
1992197.636
1991220.142.7
1990225.446.4
1989218.445
1988216.743.6
1987216.644
1986216.843.8
1985206.138.7
1984205.938.7
1983204.338.8
1982204.540
1981215.241.7
1980211.439.7
1979208.540.7
1978202.638.9
1977206.540
1976201.935.7
197519937.1
197420437.4
1973208.438.8
1972202.535
1971196.336
1970201.738.1
1969197.337.1
196819934.1
1967188.832.2
1966194.733.1
196518934.9
1964177.331.3
1963178.530.5
1962203.238.8
1961203.937
1960209.839.3
1959203.338.3
1958204.339
195720437.8
1956197.634.6
1955200.538.2
195420138
1953204.635.4
1952201.937.6
1951204.836.9
1950200.836
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaZambia
2015256.6217.3–277.772.150.1–93.9
2016247.7213.3–269.366.845.9–85.7
2017257.4226.6–278.371.449.7–92.5
2018258.8228.1–276.873.852.7–94.8
2019255.8222.6–278.773.354–97.6
2020259.4227.4–282.377.556.9–100.4
2021262.6234.7–283.876.755.7–104.5
2022264.8235.1–288.584.861.6–109.7
2023263.9236.8–287.284.763–108
2024270.9237.9–29085.158.2–113.9
2025266.1230.6–292.284.957.1–116
2026267.4226.8–294.583.658.4–119.4
2027268.6230.6–293.689.562.5–115.7
2028271.7239.7–295.989.965–118.6
2029275.9249.3–296.69669.8–122.8
2030270.4241.7–296.19166.7–118.1
2031279.4246.6–297.597.668.2–121.3
2032277.9249.4–302.394.970.3–122.2
2033276.9245.9–301.698.270.1–123.6
2034276.7247.4–305.697.370.4–135.2
2035281243.7–305.1104.168.4–137.8
2036278.3244.7–304.999.568.7–131.5
2037286.9256.1–308.6107.177.4–139.8
2038289261.5–307.1110.383.2–138.8
2039284.7253.4–307.3101.874.3–139.1
2040284.5254.7–311.5100.872.5–145.3
2041289.9258.4–310.8113.978.7–147.6
2042286.9254.1–314.3111.379.1–155.1
2043285.9253–313106.678.3–150.6
2044288.3253.6–312.5110.574.3–145.5
2045289.4260.1–314.1109.882.2–148.2
2046298.3261.3–317.3119.485.9–160
2047298.5268.2–317.8123.191.1–159.4
2048299.1268–320.8124.590.6–160.2
2049300.3269.6–320.4124.586.1–167.1
2050297.8267.2–320.6130.592–166
2051298.4272.3–323.1128.498.1–169.8
2052300.2271.5–324130.798.6–170.4
2053298.7265.5–322.6128.488–168.8
2054300.6269.6–322.8132.193–169.6
2055301.9274.9–325.6132.1100.1–176.1
2056302.1266.2–328.3132.492.7–179.6
2057305.1274.4–326.5133.298.5–178.5
2058305.3274.1–327.1137.299.2–179.7
2059305.4279–329.6139.8105.8–189.5
2060310.7273.5–330.2145.4102.9–191
2061307266.1–329.8136.692.8–196.9
2062308.8269.1–332143.9101–194.7
2063308.4277.6–328.4144.5101.7–187.8
2064310.6278.4–329.6147.998.4–180.9
2065311.9282.4–331.2148.6104.3–199.8
2066310.4284.2–330.3152.1109.4–193.6
2067308.8275.9–334140.6103.2–195.7
2068313.9280.8–334.6150.8105.7–200.3
2069312.1270.6–332.7150.5106.3–197
2070309.6278–334145.8104.7–202.4
2071312.6285–336.5153.1112.7–212
2072317287.7–334.6157.2120–195.7
2073316.2291.2–337.1161.5115.2–210.9
2074311.6284.5–334.9149.2115–198.7
2075312.3279.3–335.2148.2111.5–202.2
2076315.9288.7–337.1150.4112–201.9
2077318.5292.6–338.2156.5120.3–208.3
2078315287.3–337.1157.2122.2–209.5
2079314.8286.3–336156.8118.1–207.3
2080318.5286.8–337.8159.8116–211.9
2081318.4287.8–336.7160.2117.1–208.6
2082318.7289.8–336.5159.6119.6–200.6
2083317.4290.6–340.9159.5110.7–219.9
2084321.6293.8–339.8166124.3–210.3
2085324.4294.3–341.4172.9126.8–221.1
2086319290.7–340.7161.9120.6–224.1
2087318.3291.9–339.6158.3129.2–219.6
2088320.9292.9–340168.4123.9–218.5
2089322.1293.9–339.8168.5129.9–217.9
2090320.4295.5–341.7165.7124–223.8
2091325.4294.3–343.3177.4129.5–227.2
2092321.5294.4–342.4170.6127.8–221.5
2093323.1297.8–341.2173.6123.6–223.3
2094323.1296.5–341.1171.4130.3–220.7
2095325.6299.1–343.7179131.6–228.6
2096321.8296.2–344.1170.8124.8–233.3
2097321.5292.6–342167.2122.2–224.3
2098324.2295.1–342.8172.5131.9–226.9
2099322.8293.7–344.6171.7126.5–229.1
2100324.1292.1–344.1171.5124.3–228

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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