Niger vs Sudan

Niger vs Sudan: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 20.8 nights, or 1.09 times that in Niger.

nights a year · CMIP6

Niger vs Sudan: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 20.8 nights, or 1.09 times that in Niger.
NigerSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearNigerSudan
2014221.6242.4
2013216.1240
2012220.8242
2011220.1242.2
2010219.1240.6
2009217.2236.5
2008216.8237.1
2007216.9236
2006214.3235.3
2005213.6233.1
2004213.6233.5
2003215.5235.6
2002214.6234.7
2001213.4235.4
2000211.2230.5
1999210.4232.1
1998207.7230.2
1997211.5231.1
1996208.6227.3
1995208.3227.8
1994207.8225.3
1993202.6219.1
1992203.4217.8
1991209.4227.3
1990208.1227.5
1989206223
1988203223.1
1987204.9224.4
1986206.8226.4
1985203.9222.1
1984201.8220.7
1983200.5217
1982201.9216.3
1981204.3223.2
1980200.6220
1979200.5218.4
1978202218.5
1977203.8219.3
1976201.7220.1
1975199215.7
1974200.6217.5
1973202.6220
1972200.7217.9
1971200.8215.5
1970199.8217
1969196.1213.1
1968200.3214
1967196.6210.3
1966198.2213.3
1965199213.4
1964199.2213.2
1963196.7210.1
1962201.1217
1961198.2216.9
1960203.2221.3
1959201.6217.8
1958199.2216.2
1957201.1218.9
1956199.6217.2
1955199.7216.6
1954201.1218.9
1953196.5215.1
1952197.9216.4
1951199.8218.5
1950200.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerSudan
2015218.8202.8–235.8242.3225.3–258.3
2016217.7201.8–230.6241.4223.3–254.1
2017222.4205.2–237.4243.2223–259.1
2018220.5206.3–238.8242.3226.4–258.5
2019219.1201.8–238.1243.1221.7–260.4
2020220.9206.9–234.7244.9225.9–261.7
2021222.8208.2–240.2245.6229.1–261.5
2022226.3209.7–239.2249230.9–262.3
2023223.2206.6–238.4247.1226.8–263.1
2024228.4214.3–242.9251.5232.8–266.1
2025226.7211.2–241250.7232.4–265.6
2026226.3210–243.1250230.8–266.6
2027228.5209.9–241.1248.8228.4–265.6
2028227.1211.9–240.2249232.2–263.1
2029230.4213.3–247.1251.4232.1–266
2030226.4211.6–242.2252235.4–266.7
2031230.1210.8–247.1253.3234.4–268.9
2032228.7212.3–241250.4232.3–266.6
2033229.9214.9–245.4254.4235.3–269.4
2034229.5212.1–244.9254.2234.5–269.9
2035232.3217.5–248258.3240.2–273.6
2036230.2213.7–244.6252.8235.6–268.6
2037233.2215.1–246.5256.7238.6–271.8
2038234.3218.2–249.7258.7244.8–272.1
2039231214.2–247.1259.5241.2–272.5
2040230.8214.8–247.5256.4236.7–272.3
2041232.6218.6–252.9259.1241.2–274.5
2042233.8216.2–250.5258.7242–274.7
2043232.5217.8–245.8258.1240.3–272.6
2044233.8218.2–250.1257.3238.6–274.7
2045233.6218.1–249.7258.8243.1–276.2
2046234.3217–250.2261.1241.7–277.6
2047238.4224.3–253.1261.4244.6–278.4
2048238221.4–254260.4243.4–279.5
2049237.7217.4–253261.9242.6–275.9
2050238.2220.7–254.5263.5245.4–279
2051236.3220.6–254.7263.6246.6–278.8
2052239.5224.3–255.8263.8248.7–278.3
2053236.3223.9–255.6262.8242.4–279.2
2054239.4220.2–257.9266.3246.6–282.9
2055238.6223.7–254.7265.6245.9–281.4
2056239214.7–260.3264.1242.6–281.5
2057240.4223–256.3266.4247.6–283.4
2058238.2220.2–255.7265.2247.4–280.3
2059243.9224.6–262.7268.4249.6–285.4
2060239.8222.6–260263.6246.7–284.4
2061242.5224.9–258.5266.9250.1–281.9
2062241.6222.4–259.8266.4248.5–285
2063241.3220.9–255.2267.1246.9–283.4
2064244.4225.9–259.5269250.7–284.7
2065242.8226.5–262.4269.8253.9–285.6
2066245.6227–263.5271.4251.9–287.3
2067240.7224.9–262270.9250–288.4
2068244224.3–265.4271.9251.7–289.8
2069243.9225.5–261.6268251.1–286.2
2070243.1225.6–261.3269252.3–285.8
2071246.1230.3–264275.5254.1–290.4
2072247.9229.9–263.7273.3254.2–289.4
2073243.4225.4–262.8271.9250.7–287.6
2074243.2224.4–264.6270.9249–290.1
2075244.3230.2–263.3273.1254–291.9
2076246.5228.5–266.6272.7255.2–290.9
2077250.1232.3–267.4274.6255.2–292.7
2078249.2230.8–264.5274.3255.6–291.2
2079244.4228.7–263.8272255.2–288.5
2080248.8230.4–267276.6256–292.2
2081247227.8–268.1275.1254.1–294.8
2082247230.6–264.4272.9258.7–288.6
2083247.3230.7–267.5276.5258–291.7
2084247.7229.4–265.2275.4253–294.9
2085248.9227–264.2275.3258.6–291.6
2086250.4230.9–269.5276.4256.9–296.6
2087245.8226.2–266.9273.5253.1–293.3
2088248.3226.7–271.1273.6253.7–293.6
2089251.9232.5–269.5276.5256.6–293.4
2090249.7227.7–267.4276.6256.4–294.6
2091248.9230.5–272.2277.4256.4–296.6
2092251229.8–274274.6254.3–294.9
2093249.9234.8–267278261.9–292.1
2094252.2234–267.5280.3262.2–294
2095251.1233–270.7277.5262.6–294
2096250.8234.8–270.4279.7258.7–297
2097250.2227.8–270.8276.3254.1–297.6
2098250.1228.1–268.5277.7258.2–295.5
2099251.9232.2–268.2276.8257.2–296.2
2100251.1234.5–271.5278.6259–294.3

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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