Somalia vs Tanzania

Somalia vs Tanzania: Tropical nights

Tropical nights in 2014: 295.2 nights in Somalia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 188.9 nights, or 2.78 times that in Tanzania.

nights a year · CMIP6

Somalia vs Tanzania: Tropical nightsTropical nights in 2014: 295.2 nights in Somalia and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 188.9 nights, or 2.78 times that in Tanzania.
SomaliaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Somalia at 328.2 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearSomaliaTanzania
2014295.2106.3
2013296.8105.5
2012296.7108.4
2011297.1109
2010294.6103.9
2009293.5101.1
2008292.2100.3
2007293.399.5
2006292.4100.4
2005292.398.7
2004293.8100.4
2003293.599.6
2002292.198.4
2001292.4101.5
2000290.294.9
1999288.694.2
1998289.996.8
1997288.893.5
199628589.6
1995285.288.5
1994284.285.4
1993280.281.2
1992278.180.1
1991286.689.6
1990288.591.1
1989285.189.1
1988285.687.6
1987282.588.5
1986283.489.4
1985279.683
1984281.483.1
1983277.182.1
1982283.784.8
1981282.588
198028085
1979280.485.5
1978280.582.9
1977282.984.1
1976278.781
1975276.880.8
1974279.382.2
1973280.883.6
1972278.381.4
1971278.280.7
1970278.381.8
1969276.879.5
1968276.379.1
1967274.377.5
1966275.978.1
1965275.278
1964275.173.8
1963272.973.1
1962277.981.1
1961280.382.6
1960280.883.9
1959278.881.4
1958280.982.1
1957280.380.9
1956276.180
1955280.181.6
1954278.281.4
1953277.280.6
1952279.481.4
195127982.1
1950278.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSomaliaTanzania
2015299.3283.7–311114.895.2–137.4
2016296.8282.3–308.3108.391.6–125.6
2017299.6284.6–310.1114.893.6–137.8
2018301.3287.9–310.2116.497.4–137.1
2019299.1286.1–311.9113.495.2–133.2
2020299.4285.3–310.3119.396.2–143.5
2021302.4289.1–313.6119.5100.9–147.1
2022304.5289.7–314.6124.4105.3–147.4
2023304.1290.6–312.4122.1102.1–147.8
2024303.4290.1–317126.2100–150.1
2025303.1288.8–317.8124.6100.9–154
2026303.2288.7–315.4126.999.1–155.6
2027303.8287.7–314.9128102.9–147.7
2028305.4291.3–316.8129.9106.4–152.1
2029307.8294–317.8134.1111–156.5
2030304.5289.6–314.9129.4106.4–151.1
2031307.4292.3–317.9136.4115.9–158.4
2032308.3292.4–319.6135.1114–166.8
2033307.2292–317.6135.2110.9–161.9
2034305.9292.3–321.2134.7112.5–166.3
2035308.7293.4–321.1140.2114.6–165
2036307.5295.4–317.7137.8113.3–165.5
2037310.1298.4–319.9142.9121.5–168.9
2038311.1296.4–323.2147.9124.3–169.3
2039308.6295.9–321.9144.3117.6–171.3
2040311.7295.9–324.2140.5117–178
2041312296.6–321.5149.1121.7–175.6
2042311.7295–325.7146.3120.5–185.3
2043312298–323.1144.6117–173
2044311.4297.3–323147.7121.2–175.8
2045312.3298.6–323150.1125.2–183.4
2046314.4299–327.7161.5128.6–192.2
2047315.8300.2–327.9160.2129.7–194.4
2048316.9302.8–327.5158.8132.7–193.1
2049314.9303.2–325.2157.6131.1–196
2050315.9300.6–324.5159.7127.8–192
2051314.9301.9–326.9163.2135.5–197.8
2052316.2301.6–329161.9136.2–199.1
2053314.8302.3–326.8160.6127.5–197.7
2054316.2301.5–330.1163.2131.5–200.2
2055317.4302.7–327.8167.4137–208.3
2056316.5302.9–332.3166.4130.8–209.7
2057316.8302.5–329.8168134.6–208.3
2058316.9300.7–330.9168.7134.9–210.3
2059320.8305.2–332.5174.7144.9–219.5
2060321.3305.7–331.9181.7138.1–219.8
2061317.8304.8–330.3171.8135.5–218.1
2062319.6304.3–336177.5139.9–224
2063320.9305.3–332181.4140.1–213.8
2064319.7306.8–330.5185.3140.1–215.2
2065318.3304.6–334.6183.5141.1–221.8
2066321307.9–333.9181.9146.3–219.3
2067320.5304.3–334.4178.8138.8–229.2
2068321.7305.6–336.3186144.2–228.4
2069322.3308.6–335.4183.7141.7–225.3
2070321.1305.3–335.6180.7140.4–228.2
2071324.5308.4–336.9184.9146.9–235.2
2072324.1308.2–334.1191.3155–226.1
2073323.7308.1–337.9191.6152.4–235.6
2074322306–334.6183.3149.7–231.7
2075323.6307.6–336.4183.8144.8–233
2076323.6309–333.3191.1150.9–233.2
2077324.2309.6–335.9191.3152.6–238.2
2078324.7310.1–333.7189156.6–233.8
2079323.2307.6–336.3190.5147–237.3
2080324.7310.6–337.8197.3150.7–241.2
2081323.2311.1–335.3195.6153.4–237.4
2082324.3309.4–336.4194.5157.3–237.3
2083323.6308.3–342.4193.2151–249.8
2084326.2309.4–337.5201.1152.2–246.7
2085327.7311.9–339.4204.2162.3–252.3
2086326.6311.1–340.2195156–248.7
2087327.3311.5–339.1196.7160.8–244.5
2088328.6308.2–341.6208.4154.7–246.9
2089326.7312–340.2201.3158.6–248.2
2090326.5311.7–339.5197.9160.7–253.6
2091328.6311.5–340.9210161.6–256
2092329.1312.2–341.8205.8158.3–253.6
2093327.3312.1–342.8207.2161.2–251.9
2094325.6312–336.2207.9161.3–250.6
2095329314–341.2214.2166.4–258.5
2096327.9311.6–341.9205.3159.8–257.4
2097325.6311–340206.6158.4–256.8
2098327.7311.4–341.1209.1161–258.3
2099327.3311.9–339.3208.5160.1–256
2100328.2313.4–341.2208158.6–258.6

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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