Niger vs Somalia

Niger vs Somalia: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 73.6 nights, or 1.33 times that in Niger.

nights a year · CMIP6

Niger vs Somalia: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 295.2 nights in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 73.6 nights, or 1.33 times that in Niger.
NigerSomaliaCMIP6 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 Niger at 251.1 nights and Somalia at 328.2 nights in 2100.

Every year

nights a year · CMIP6

YearNigerSomalia
2014221.6295.2
2013216.1296.8
2012220.8296.7
2011220.1297.1
2010219.1294.6
2009217.2293.5
2008216.8292.2
2007216.9293.3
2006214.3292.4
2005213.6292.3
2004213.6293.8
2003215.5293.5
2002214.6292.1
2001213.4292.4
2000211.2290.2
1999210.4288.6
1998207.7289.9
1997211.5288.8
1996208.6285
1995208.3285.2
1994207.8284.2
1993202.6280.2
1992203.4278.1
1991209.4286.6
1990208.1288.5
1989206285.1
1988203285.6
1987204.9282.5
1986206.8283.4
1985203.9279.6
1984201.8281.4
1983200.5277.1
1982201.9283.7
1981204.3282.5
1980200.6280
1979200.5280.4
1978202280.5
1977203.8282.9
1976201.7278.7
1975199276.8
1974200.6279.3
1973202.6280.8
1972200.7278.3
1971200.8278.2
1970199.8278.3
1969196.1276.8
1968200.3276.3
1967196.6274.3
1966198.2275.9
1965199275.2
1964199.2275.1
1963196.7272.9
1962201.1277.9
1961198.2280.3
1960203.2280.8
1959201.6278.8
1958199.2280.9
1957201.1280.3
1956199.6276.1
1955199.7280.1
1954201.1278.2
1953196.5277.2
1952197.9279.4
1951199.8279
1950200.8278.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerSomalia
2015218.8202.8–235.8299.3283.7–311
2016217.7201.8–230.6296.8282.3–308.3
2017222.4205.2–237.4299.6284.6–310.1
2018220.5206.3–238.8301.3287.9–310.2
2019219.1201.8–238.1299.1286.1–311.9
2020220.9206.9–234.7299.4285.3–310.3
2021222.8208.2–240.2302.4289.1–313.6
2022226.3209.7–239.2304.5289.7–314.6
2023223.2206.6–238.4304.1290.6–312.4
2024228.4214.3–242.9303.4290.1–317
2025226.7211.2–241303.1288.8–317.8
2026226.3210–243.1303.2288.7–315.4
2027228.5209.9–241.1303.8287.7–314.9
2028227.1211.9–240.2305.4291.3–316.8
2029230.4213.3–247.1307.8294–317.8
2030226.4211.6–242.2304.5289.6–314.9
2031230.1210.8–247.1307.4292.3–317.9
2032228.7212.3–241308.3292.4–319.6
2033229.9214.9–245.4307.2292–317.6
2034229.5212.1–244.9305.9292.3–321.2
2035232.3217.5–248308.7293.4–321.1
2036230.2213.7–244.6307.5295.4–317.7
2037233.2215.1–246.5310.1298.4–319.9
2038234.3218.2–249.7311.1296.4–323.2
2039231214.2–247.1308.6295.9–321.9
2040230.8214.8–247.5311.7295.9–324.2
2041232.6218.6–252.9312296.6–321.5
2042233.8216.2–250.5311.7295–325.7
2043232.5217.8–245.8312298–323.1
2044233.8218.2–250.1311.4297.3–323
2045233.6218.1–249.7312.3298.6–323
2046234.3217–250.2314.4299–327.7
2047238.4224.3–253.1315.8300.2–327.9
2048238221.4–254316.9302.8–327.5
2049237.7217.4–253314.9303.2–325.2
2050238.2220.7–254.5315.9300.6–324.5
2051236.3220.6–254.7314.9301.9–326.9
2052239.5224.3–255.8316.2301.6–329
2053236.3223.9–255.6314.8302.3–326.8
2054239.4220.2–257.9316.2301.5–330.1
2055238.6223.7–254.7317.4302.7–327.8
2056239214.7–260.3316.5302.9–332.3
2057240.4223–256.3316.8302.5–329.8
2058238.2220.2–255.7316.9300.7–330.9
2059243.9224.6–262.7320.8305.2–332.5
2060239.8222.6–260321.3305.7–331.9
2061242.5224.9–258.5317.8304.8–330.3
2062241.6222.4–259.8319.6304.3–336
2063241.3220.9–255.2320.9305.3–332
2064244.4225.9–259.5319.7306.8–330.5
2065242.8226.5–262.4318.3304.6–334.6
2066245.6227–263.5321307.9–333.9
2067240.7224.9–262320.5304.3–334.4
2068244224.3–265.4321.7305.6–336.3
2069243.9225.5–261.6322.3308.6–335.4
2070243.1225.6–261.3321.1305.3–335.6
2071246.1230.3–264324.5308.4–336.9
2072247.9229.9–263.7324.1308.2–334.1
2073243.4225.4–262.8323.7308.1–337.9
2074243.2224.4–264.6322306–334.6
2075244.3230.2–263.3323.6307.6–336.4
2076246.5228.5–266.6323.6309–333.3
2077250.1232.3–267.4324.2309.6–335.9
2078249.2230.8–264.5324.7310.1–333.7
2079244.4228.7–263.8323.2307.6–336.3
2080248.8230.4–267324.7310.6–337.8
2081247227.8–268.1323.2311.1–335.3
2082247230.6–264.4324.3309.4–336.4
2083247.3230.7–267.5323.6308.3–342.4
2084247.7229.4–265.2326.2309.4–337.5
2085248.9227–264.2327.7311.9–339.4
2086250.4230.9–269.5326.6311.1–340.2
2087245.8226.2–266.9327.3311.5–339.1
2088248.3226.7–271.1328.6308.2–341.6
2089251.9232.5–269.5326.7312–340.2
2090249.7227.7–267.4326.5311.7–339.5
2091248.9230.5–272.2328.6311.5–340.9
2092251229.8–274329.1312.2–341.8
2093249.9234.8–267327.3312.1–342.8
2094252.2234–267.5325.6312–336.2
2095251.1233–270.7329314–341.2
2096250.8234.8–270.4327.9311.6–341.9
2097250.2227.8–270.8325.6311–340
2098250.1228.1–268.5327.7311.4–341.1
2099251.9232.2–268.2327.3311.9–339.3
2100251.1234.5–271.5328.2313.4–341.2

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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