Congo - Kinshasa vs Uganda

Congo - Kinshasa vs Uganda: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 123.8 nights, or 1.99 times that in Uganda.

nights a year · CMIP6

Congo - Kinshasa vs Uganda: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 123.8 nights, or 1.99 times that in Uganda.
Congo - KinshasaUgandaCMIP6 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaUganda
2014248.5124.7
2013249.2124
2012250.9122.2
2011248.7125.7
2010243.5122.5
2009243114.8
2008239.7114.1
2007237.7111.2
2006239117.4
2005237.3113.8
2004238.5114.6
2003239.3114.4
2002236.5114.4
2001242.5117.1
2000233.5109
1999226.2105.5
1998230.6105
1997226.6106.1
1996218.6102.1
1995217.299.9
1994211.994.6
1993201.590.8
1992197.689.9
1991220.1102.1
1990225.4103.8
1989218.499.1
1988216.798.6
1987216.698.3
1986216.899.2
1985206.192.1
1984205.994.6
1983204.390.4
1982204.594.4
1981215.298.5
1980211.496.3
1979208.593.9
1978202.691
1977206.595.1
1976201.992
197519989.6
197420491.8
1973208.492.8
1972202.590
1971196.387.1
1970201.788.8
1969197.388
196819987.3
1967188.882.3
1966194.782.5
196518982.2
1964177.378.2
1963178.580.3
1962203.288.5
1961203.990.7
1960209.893.2
1959203.391.3
1958204.388.7
195720490.1
1956197.688.8
1955200.589
195420189.5
1953204.689
1952201.989.6
1951204.891.1
1950200.887.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaUganda
2015256.6217.3–277.7131.598.6–164.1
2016247.7213.3–269.312398.5–154.1
2017257.4226.6–278.3133.7108.6–162.7
2018258.8228.1–276.8134.2102.5–164
2019255.8222.6–278.7131.3104.8–166.2
2020259.4227.4–282.3140.7102.6–171.5
2021262.6234.7–283.8137.9112.9–175.4
2022264.8235.1–288.5140116.2–169.9
2023263.9236.8–287.2140.4114.2–184.8
2024270.9237.9–290151.1113.5–186.7
2025266.1230.6–292.2143108.5–176.4
2026267.4226.8–294.5144.6109.7–179.6
2027268.6230.6–293.6147.6116–175.4
2028271.7239.7–295.9151.6120.2–179.6
2029275.9249.3–296.6155.2127.3–178.6
2030270.4241.7–296.1150.4117.6–185.1
2031279.4246.6–297.5161.6132–187.2
2032277.9249.4–302.3159.1134.2–190.5
2033276.9245.9–301.6158.9123.4–200.6
2034276.7247.4–305.6161.5135.6–202.5
2035281243.7–305.1164.9126.3–193
2036278.3244.7–304.9158.5127.7–195.4
2037286.9256.1–308.6168.3138.2–207.3
2038289261.5–307.1173.8139.7–206.2
2039284.7253.4–307.3171.2130.1–205
2040284.5254.7–311.5170.4134.1–207.4
2041289.9258.4–310.8176.3144.6–208
2042286.9254.1–314.3175137.8–214.3
2043285.9253–313173.6132.8–207.6
2044288.3253.6–312.5176.1136.8–206.9
2045289.4260.1–314.1178.9138.3–217.7
2046298.3261.3–317.3191.9136.6–235
2047298.5268.2–317.8187.7156.6–225.3
2048299.1268–320.8189.3151.5–227.4
2049300.3269.6–320.4195.1154.9–233.6
2050297.8267.2–320.6191150.7–236.4
2051298.4272.3–323.1191.2154.4–228.2
2052300.2271.5–324192.6157.7–231.7
2053298.7265.5–322.6194.5149.7–233.5
2054300.6269.6–322.8199156.3–236.8
2055301.9274.9–325.6201.3151.7–240.7
2056302.1266.2–328.3198.9156.9–240.2
2057305.1274.4–326.5200165.5–244.7
2058305.3274.1–327.1208.8156.5–248.3
2059305.4279–329.6212.7171.1–254
2060310.7273.5–330.2212.6160.3–253.1
2061307266.1–329.8208.9162.4–258.1
2062308.8269.1–332206.4159.1–267.6
2063308.4277.6–328.4209.3168.5–246.3
2064310.6278.4–329.6210.6166.2–253.8
2065311.9282.4–331.2214.5167.8–261.1
2066310.4284.2–330.3211.9171.8–256.1
2067308.8275.9–334208.4168.3–269.8
2068313.9280.8–334.6216.4169.7–268.7
2069312.1270.6–332.7213170.3–268.1
2070309.6278–334216.4176.4–270.9
2071312.6285–336.5215.5174.6–273.5
2072317287.7–334.6227.3184.1–272.3
2073316.2291.2–337.1230.4189.3–278.5
2074311.6284.5–334.9220.7176.9–277
2075312.3279.3–335.2217.7167–274.2
2076315.9288.7–337.1228.1178.9–279
2077318.5292.6–338.2229.5189.6–280.5
2078315287.3–337.1225.6187.8–276.4
2079314.8286.3–336231.9168.8–277.7
2080318.5286.8–337.8232.8182.6–283.1
2081318.4287.8–336.7227.9187.6–279.3
2082318.7289.8–336.5233.1185.6–279.4
2083317.4290.6–340.9232.2175.7–297
2084321.6293.8–339.8237.2185.5–288.8
2085324.4294.3–341.4239.5192.4–291.7
2086319290.7–340.7236.2189.8–289.4
2087318.3291.9–339.6239.4188.9–294
2088320.9292.9–340236.8193.6–288.9
2089322.1293.9–339.8238.8193.8–293.7
2090320.4295.5–341.7237.7190.1–301.5
2091325.4294.3–343.3251188.7–300.1
2092321.5294.4–342.4243.4194.9–297.8
2093323.1297.8–341.2244.4199.2–296.8
2094323.1296.5–341.1245.6202.9–299.8
2095325.6299.1–343.7253.2202.4–306.1
2096321.8296.2–344.1241.4196.5–304
2097321.5292.6–342243.1194–296.6
2098324.2295.1–342.8242.9199–302.3
2099322.8293.7–344.6247.3194.4–306.1
2100324.1292.1–344.1245.3195.5–307.2

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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