Gambia vs Senegal

Gambia vs Senegal: Tropical nights

Tropical nights in 2014: 313.4 nights in Gambia and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Gambia, by 11.3 nights, or 1.04 times that in Senegal.

nights a year · CMIP6

Gambia vs Senegal: Tropical nightsTropical nights in 2014: 313.4 nights in Gambia and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Gambia, by 11.3 nights, or 1.04 times that in Senegal.
GambiaSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Gambia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Gambia at 354.4 nights and Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearGambiaSenegal
2014313.4302.1
2013308.8300.9
2012313304.1
2011311.6302.1
2010311.3301.5
2009309.3302.1
2008307298.3
2007307.4298.5
2006306.5298.6
2005307.5298.1
2004301.3294.7
2003304.9296.1
2002306.8296
2001307.9298.9
2000303.6295
1999301.6293.2
1998299.9292.5
1997296.5288.5
1996293.1285.1
1995294.6285.9
1994291.2283.7
1993288.6282
1992284.5277.6
1991294.2286.7
1990302.2292.5
1989289.1282.1
1988290.6282.4
1987289.1281.8
1986289.7283
1985284.8278.1
1984281.1274.6
1983284.4276.3
1982289.3281.3
1981284.2277.9
1980285.7277.6
1979288.6281
1978287.6280.7
1977286.2278
1976280.9274.4
1975286278.4
1974281.7273.8
1973281274.5
1972281.7273.5
1971280.7273.4
1970277.5271.3
1969278.5271.6
1968277.7272.6
1967283.7275.4
1966279.9273.3
1965277.6272.8
1964279.9271.8
1963279.7272.8
1962286.8280.2
1961285276.9
1960286279.2
1959283.9277.4
1958286.6278.8
1957282.4274.4
1956280.9273.2
1955280.7273.4
1954283.5275
1953280271.7
1952278.6271
1951279.8272.9
1950276.7270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGambiaSenegal
2015307.8287.7–330.7298.9275.9–321
2016312.8281.6–328.8302.7276.5–319
2017311.8294.1–327.5302.9285.4–318.6
2018315.8300.1–330.5305.6289.2–321.5
2019318.1290.2–337.9307.6280.6–328.1
2020314.9285.8–330.5305.2276.2–322.9
2021316.7295–333.2307.6286–325.6
2022322.4295.9–343.6312.9289.6–334.3
2023318.3301.1–335.9307.5292.2–328.6
2024322302.6–333313.2294.6–326.9
2025322.4298.4–336.4311.8289–329.4
2026320.4295.9–338.9308.3285.2–328.6
2027321.7297.6–338.2310.7287.8–330
2028326.5296–340.7316.3289.2–331.6
2029324.8295.2–342315.7291.2–334.2
2030323.3302.4–337.1311.5289.1–329.1
2031328.4310.6–342.9318.8296.3–335
2032326.3303.6–341.4316295.7–332.4
2033325.1301.2–344.4316.7289.6–336.4
2034322.4300.4–344.2315.4291.6–335.1
2035328.7300.6–343.2316.8291.1–335.3
2036329.2310.6–344320.8298.5–335.3
2037334.1313.7–345.1324.5303.1–337.7
2038334.4315.3–348.1323.5304.2–339.7
2039334.9311.8–346.6323.3300.9–337
2040332.4311.9–349322.4298.9–339.5
2041330.1310–350.3320.2300.1–343.6
2042330.3310.5–348.2320302.1–339.9
2043329.8312.9–347.3320.4303.7–340.4
2044337.2311.8–346.4326.9301.5–340.9
2045333.2315.3–348.2324.1304.1–340
2046335310.9–348.9325.9304.7–340.6
2047339.1310–353.5329301.4–347
2048340.7327.1–351.4331.1314.3–344.8
2049340.4317.8–349.3331.3308.3–343.7
2050336.3314.3–350.5327.6306.5–341.9
2051337.2318.3–350.8328307.1–344
2052333.5317.9–352.7325.4308.1–344.2
2053340.5314.4–353.7331.8304.9–347.2
2054338.4320.8–354.2330.1310.8–345.2
2055338.9315.6–351.8330.1305.5–344
2056340.9317.4–355.6331.4307.4–349.8
2057346.9318.4–357.2337306.4–351.5
2058342326.6–357.7333313.2–350.2
2059341.8327.4–359.7334315.6–353.5
2060344.6327.1–357.9334.5316.4–351.1
2061343.3315.3–359.5333.7307.5–352.9
2062343.4326.8–356.2333.3312.4–350.2
2063345.3320.7–357.8335.4313.2–352.8
2064344.9315.7–357.4335.4307.1–351.1
2065343.2322.2–360.4334.8314.1–352.8
2066346.6318.4–357.4337.3312.9–351
2067343.6313.8–357.3335.5309.9–349.9
2068344.6326.4–359.3335.5313.5–354
2069345.8329.9–358.3336.1316.9–351.8
2070342.7322.6–358.7333.3312.9–352.9
2071345.4332.2–358.5335.7321.1–351.9
2072351327.9–359.2342.3321–354.6
2073346.6327.8–360.3339.4320.1–356.1
2074343.7326–357.7335.9317.1–351.8
2075346.1330.3–359.6338.4320.7–354.1
2076348.2333.5–358.4338.7321.9–352
2077351.2325.1–362.2342.8314.8–357.3
2078349.8334.4–360.6343325.8–355.4
2079348.4334.1–363.1341.2322.3–357.6
2080350.2330.8–362.3340.9317.7–358.1
2081348.5326.4–361.1339.8315.5–357.1
2082349.4323.9–360.4341.6316.4–354.9
2083349.4335.6–361.7340.8324.8–356.9
2084348.2333.6–361.3340.4322.8–354.9
2085353.8334.3–361.9346.8325.6–357
2086349.7338.3–362.8341.7324.4–357.6
2087353.1337.1–362.6343.9325.9–357.7
2088348.7333.1–363341.5321.6–358.2
2089351.5335.1–359.8343.2324.3–355.2
2090350.4333.6–360.9342320.6–356
2091350.5328.6–361.1341.7319.8–356.4
2092347.8329.1–363.1339.7318.4–357.7
2093354.1337.9–361345326.8–356.4
2094352.2336.1–361344.4324.3–357.6
2095353.8333.3–362.6346.3320.6–359.4
2096353.1331.7–363344.4323.1–359.2
2097351.3328–359.7341.4321.3–353.8
2098354331.1–362.4345322.3–357
2099353.5335.7–361.5344.6322.7–357.5
2100354.4329–363.2347.3323.6–359.2

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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