Niger vs Senegal

Niger vs Senegal: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 80.5 nights, or 1.36 times that in Niger.

Watch it change on the map

nights a year · CMIP6

Niger vs Senegal: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 80.5 nights, or 1.36 times that in Niger.
NigerSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal 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 Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearNigerSenegal
2014221.6302.1
2013216.1300.9
2012220.8304.1
2011220.1302.1
2010219.1301.5
2009217.2302.1
2008216.8298.3
2007216.9298.5
2006214.3298.6
2005213.6298.1
2004213.6294.7
2003215.5296.1
2002214.6296
2001213.4298.9
2000211.2295
1999210.4293.2
1998207.7292.5
1997211.5288.5
1996208.6285.1
1995208.3285.9
1994207.8283.7
1993202.6282
1992203.4277.6
1991209.4286.7
1990208.1292.5
1989206282.1
1988203282.4
1987204.9281.8
1986206.8283
1985203.9278.1
1984201.8274.6
1983200.5276.3
1982201.9281.3
1981204.3277.9
1980200.6277.6
1979200.5281
1978202280.7
1977203.8278
1976201.7274.4
1975199278.4
1974200.6273.8
1973202.6274.5
1972200.7273.5
1971200.8273.4
1970199.8271.3
1969196.1271.6
1968200.3272.6
1967196.6275.4
1966198.2273.3
1965199272.8
1964199.2271.8
1963196.7272.8
1962201.1280.2
1961198.2276.9
1960203.2279.2
1959201.6277.4
1958199.2278.8
1957201.1274.4
1956199.6273.2
1955199.7273.4
1954201.1275
1953196.5271.7
1952197.9271
1951199.8272.9
1950200.8270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerSenegal
2015218.8202.8–235.8298.9275.9–321
2016217.7201.8–230.6302.7276.5–319
2017222.4205.2–237.4302.9285.4–318.6
2018220.5206.3–238.8305.6289.2–321.5
2019219.1201.8–238.1307.6280.6–328.1
2020220.9206.9–234.7305.2276.2–322.9
2021222.8208.2–240.2307.6286–325.6
2022226.3209.7–239.2312.9289.6–334.3
2023223.2206.6–238.4307.5292.2–328.6
2024228.4214.3–242.9313.2294.6–326.9
2025226.7211.2–241311.8289–329.4
2026226.3210–243.1308.3285.2–328.6
2027228.5209.9–241.1310.7287.8–330
2028227.1211.9–240.2316.3289.2–331.6
2029230.4213.3–247.1315.7291.2–334.2
2030226.4211.6–242.2311.5289.1–329.1
2031230.1210.8–247.1318.8296.3–335
2032228.7212.3–241316295.7–332.4
2033229.9214.9–245.4316.7289.6–336.4
2034229.5212.1–244.9315.4291.6–335.1
2035232.3217.5–248316.8291.1–335.3
2036230.2213.7–244.6320.8298.5–335.3
2037233.2215.1–246.5324.5303.1–337.7
2038234.3218.2–249.7323.5304.2–339.7
2039231214.2–247.1323.3300.9–337
2040230.8214.8–247.5322.4298.9–339.5
2041232.6218.6–252.9320.2300.1–343.6
2042233.8216.2–250.5320302.1–339.9
2043232.5217.8–245.8320.4303.7–340.4
2044233.8218.2–250.1326.9301.5–340.9
2045233.6218.1–249.7324.1304.1–340
2046234.3217–250.2325.9304.7–340.6
2047238.4224.3–253.1329301.4–347
2048238221.4–254331.1314.3–344.8
2049237.7217.4–253331.3308.3–343.7
2050238.2220.7–254.5327.6306.5–341.9
2051236.3220.6–254.7328307.1–344
2052239.5224.3–255.8325.4308.1–344.2
2053236.3223.9–255.6331.8304.9–347.2
2054239.4220.2–257.9330.1310.8–345.2
2055238.6223.7–254.7330.1305.5–344
2056239214.7–260.3331.4307.4–349.8
2057240.4223–256.3337306.4–351.5
2058238.2220.2–255.7333313.2–350.2
2059243.9224.6–262.7334315.6–353.5
2060239.8222.6–260334.5316.4–351.1
2061242.5224.9–258.5333.7307.5–352.9
2062241.6222.4–259.8333.3312.4–350.2
2063241.3220.9–255.2335.4313.2–352.8
2064244.4225.9–259.5335.4307.1–351.1
2065242.8226.5–262.4334.8314.1–352.8
2066245.6227–263.5337.3312.9–351
2067240.7224.9–262335.5309.9–349.9
2068244224.3–265.4335.5313.5–354
2069243.9225.5–261.6336.1316.9–351.8
2070243.1225.6–261.3333.3312.9–352.9
2071246.1230.3–264335.7321.1–351.9
2072247.9229.9–263.7342.3321–354.6
2073243.4225.4–262.8339.4320.1–356.1
2074243.2224.4–264.6335.9317.1–351.8
2075244.3230.2–263.3338.4320.7–354.1
2076246.5228.5–266.6338.7321.9–352
2077250.1232.3–267.4342.8314.8–357.3
2078249.2230.8–264.5343325.8–355.4
2079244.4228.7–263.8341.2322.3–357.6
2080248.8230.4–267340.9317.7–358.1
2081247227.8–268.1339.8315.5–357.1
2082247230.6–264.4341.6316.4–354.9
2083247.3230.7–267.5340.8324.8–356.9
2084247.7229.4–265.2340.4322.8–354.9
2085248.9227–264.2346.8325.6–357
2086250.4230.9–269.5341.7324.4–357.6
2087245.8226.2–266.9343.9325.9–357.7
2088248.3226.7–271.1341.5321.6–358.2
2089251.9232.5–269.5343.2324.3–355.2
2090249.7227.7–267.4342320.6–356
2091248.9230.5–272.2341.7319.8–356.4
2092251229.8–274339.7318.4–357.7
2093249.9234.8–267345326.8–356.4
2094252.2234–267.5344.4324.3–357.6
2095251.1233–270.7346.3320.6–359.4
2096250.8234.8–270.4344.4323.1–359.2
2097250.2227.8–270.8341.4321.3–353.8
2098250.1228.1–268.5345322.3–357
2099251.9232.2–268.2344.6322.7–357.5
2100251.1234.5–271.5347.3323.6–359.2

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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