Guinea vs Tanzania

Guinea vs Tanzania: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 180.3 nights, or 2.7 times that in Tanzania.

Watch it change on the map

nights a year · CMIP6

Guinea vs Tanzania: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 180.3 nights, or 2.7 times that in Tanzania.
GuineaTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaTanzania
2014286.6106.3
2013285.3105.5
2012292.9108.4
2011288.8109
2010285.2103.9
2009282.5101.1
2008279100.3
2007278.999.5
2006278.8100.4
2005278.998.7
2004276100.4
2003279.699.6
2002277.198.4
2001279.8101.5
2000273.194.9
199926794.2
1998268.496.8
1997266.693.5
1996260.489.6
1995260.388.5
199425585.4
1993246.681.2
1992242.480.1
1991264.389.6
1990266.491.1
1989259.789.1
1988256.987.6
1987258.488.5
1986259.989.4
1985252.683
1984249.683.1
1983248.482.1
198225084.8
1981253.588
1980251.285
1979251.285.5
197825282.9
1977250.484.1
197624481
1975242.380.8
1974247.282.2
1973249.383.6
1972246.181.4
1971244.580.7
197024981.8
1969241.279.5
1968241.579.1
1967233.377.5
1966237.778.1
1965239.878
196423173.8
1963225.873.1
1962246.981.1
196124682.6
1960250.583.9
1959244.881.4
1958245.682.1
1957247.580.9
1956242.480
1955243.581.6
1954250.281.4
1953241.280.6
1952240.381.4
1951248.882.1
1950240.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaTanzania
2015286.7259.9–308.5114.895.2–137.4
2016288.9262.6–304108.391.6–125.6
2017291.6265.5–311.4114.893.6–137.8
2018295.6269.3–311.8116.497.4–137.1
2019291.8266.8–313.6113.495.2–133.2
2020291.2265.6–315.4119.396.2–143.5
2021295.8268–316.3119.5100.9–147.1
2022299.9277.9–322.4124.4105.3–147.4
2023296273.8–318122.1102.1–147.8
2024302.3276.9–322.8126.2100–150.1
2025298.9275.2–322.4124.6100.9–154
2026302.5269.3–323.9126.999.1–155.6
2027302.6276.3–320.2128102.9–147.7
2028308.2285.4–325.8129.9106.4–152.1
2029309.3280.6–327.2134.1111–156.5
2030305.5277.4–322.4129.4106.4–151.1
2031313.2282.2–329.6136.4115.9–158.4
2032307.7287.3–329.5135.1114–166.8
2033310.4282.4–337.8135.2110.9–161.9
2034308281.7–327.4134.7112.5–166.3
2035311.2284.9–333140.2114.6–165
2036312.8285.7–334.5137.8113.3–165.5
2037315.5291.8–331.1142.9121.5–168.9
2038317.9296.3–333.9147.9124.3–169.3
2039314.1291.6–336144.3117.6–171.3
2040316.1292.9–334.6140.5117–178
2041315.4296.5–335.7149.1121.7–175.6
2042316290.7–336.6146.3120.5–185.3
2043314.8291.1–332.7144.6117–173
2044319.8289.7–337.5147.7121.2–175.8
2045318.6296.4–339150.1125.2–183.4
2046321.4295.7–337161.5128.6–192.2
2047324.6297.9–342.8160.2129.7–194.4
2048324.8304.4–341.1158.8132.7–193.1
2049324.2302.4–340.2157.6131.1–196
2050322.4299.7–339.6159.7127.8–192
2051326.1300.4–342163.2135.5–197.8
2052324301.5–342.8161.9136.2–199.1
2053325.6298–345.3160.6127.5–197.7
2054329.5301.3–345.1163.2131.5–200.2
2055324.4305.3–342.4167.4137–208.3
2056329.6299.4–349.4166.4130.8–209.7
2057332.4301.5–351168134.6–208.3
2058328.8305.6–347.6168.7134.9–210.3
2059330.3310.8–350.5174.7144.9–219.5
2060328.3309.4–348.2181.7138.1–219.8
2061330.5304.6–352.8171.8135.5–218.1
2062327.7307.3–346.5177.5139.9–224
2063333.4311–349.1181.4140.1–213.8
2064330.9310.6–351.6185.3140.1–215.2
2065331.4309.7–350.6183.5141.1–221.8
2066331.8312.3–347.4181.9146.3–219.3
2067329.1304–348.6178.8138.8–229.2
2068335.4309.6–354.5186144.2–228.4
2069333.5313–351.4183.7141.7–225.3
2070331.7310.9–352.7180.7140.4–228.2
2071334.6315.6–352.4184.9146.9–235.2
2072338.3317–353.2191.3155–226.1
2073334309.7–351.6191.6152.4–235.6
2074330.2310.6–352183.3149.7–231.7
2075334312–352.2183.8144.8–233
2076338.4321.3–352.1191.1150.9–233.2
2077341.4318.4–355.6191.3152.6–238.2
2078338.1316.6–355.8189156.6–233.8
2079337.5318.8–355.3190.5147–237.3
2080339.8315.4–358197.3150.7–241.2
2081339.3318.2–356.6195.6153.4–237.4
2082337.9316.1–353.3194.5157.3–237.3
2083339.2320.8–355.8193.2151–249.8
2084340.5321–354.6201.1152.2–246.7
2085343.8319.9–358.1204.2162.3–252.3
2086342.2318.7–358.7195156–248.7
2087340.7319.9–357.6196.7160.8–244.5
2088341.2318.3–354.9208.4154.7–246.9
2089337.9318.6–354.8201.3158.6–248.2
2090341.1315–356197.9160.7–253.6
2091339.7319.7–355.5210161.6–256
2092339.7320.4–356.8205.8158.3–253.6
2093341.8325.1–356.2207.2161.2–251.9
2094342.2324–356.4207.9161.3–250.6
2095340.7323.5–359.3214.2166.4–258.5
2096343.2324–359.7205.3159.8–257.4
2097340.3313.8–353.8206.6158.4–256.8
2098339.9318.8–357209.1161–258.3
2099341.5324.6–355.9208.5160.1–256
2100345.3319.6–357.9208158.6–258.6

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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