Guinea vs Niger

Guinea vs Niger: Tropical nights

Tropical nights in 2014: 286.6 nights in Guinea and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 65 nights, or 1.29 times that in Niger.

Watch it change on the map

nights a year · CMIP6

Guinea vs Niger: Tropical nightsTropical nights in 2014: 286.6 nights in Guinea and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guinea, by 65 nights, or 1.29 times that in Niger.
GuineaNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guinea has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guinea at 345.3 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearGuineaNiger
2014286.6221.6
2013285.3216.1
2012292.9220.8
2011288.8220.1
2010285.2219.1
2009282.5217.2
2008279216.8
2007278.9216.9
2006278.8214.3
2005278.9213.6
2004276213.6
2003279.6215.5
2002277.1214.6
2001279.8213.4
2000273.1211.2
1999267210.4
1998268.4207.7
1997266.6211.5
1996260.4208.6
1995260.3208.3
1994255207.8
1993246.6202.6
1992242.4203.4
1991264.3209.4
1990266.4208.1
1989259.7206
1988256.9203
1987258.4204.9
1986259.9206.8
1985252.6203.9
1984249.6201.8
1983248.4200.5
1982250201.9
1981253.5204.3
1980251.2200.6
1979251.2200.5
1978252202
1977250.4203.8
1976244201.7
1975242.3199
1974247.2200.6
1973249.3202.6
1972246.1200.7
1971244.5200.8
1970249199.8
1969241.2196.1
1968241.5200.3
1967233.3196.6
1966237.7198.2
1965239.8199
1964231199.2
1963225.8196.7
1962246.9201.1
1961246198.2
1960250.5203.2
1959244.8201.6
1958245.6199.2
1957247.5201.1
1956242.4199.6
1955243.5199.7
1954250.2201.1
1953241.2196.5
1952240.3197.9
1951248.8199.8
1950240.8200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuineaNiger
2015286.7259.9–308.5218.8202.8–235.8
2016288.9262.6–304217.7201.8–230.6
2017291.6265.5–311.4222.4205.2–237.4
2018295.6269.3–311.8220.5206.3–238.8
2019291.8266.8–313.6219.1201.8–238.1
2020291.2265.6–315.4220.9206.9–234.7
2021295.8268–316.3222.8208.2–240.2
2022299.9277.9–322.4226.3209.7–239.2
2023296273.8–318223.2206.6–238.4
2024302.3276.9–322.8228.4214.3–242.9
2025298.9275.2–322.4226.7211.2–241
2026302.5269.3–323.9226.3210–243.1
2027302.6276.3–320.2228.5209.9–241.1
2028308.2285.4–325.8227.1211.9–240.2
2029309.3280.6–327.2230.4213.3–247.1
2030305.5277.4–322.4226.4211.6–242.2
2031313.2282.2–329.6230.1210.8–247.1
2032307.7287.3–329.5228.7212.3–241
2033310.4282.4–337.8229.9214.9–245.4
2034308281.7–327.4229.5212.1–244.9
2035311.2284.9–333232.3217.5–248
2036312.8285.7–334.5230.2213.7–244.6
2037315.5291.8–331.1233.2215.1–246.5
2038317.9296.3–333.9234.3218.2–249.7
2039314.1291.6–336231214.2–247.1
2040316.1292.9–334.6230.8214.8–247.5
2041315.4296.5–335.7232.6218.6–252.9
2042316290.7–336.6233.8216.2–250.5
2043314.8291.1–332.7232.5217.8–245.8
2044319.8289.7–337.5233.8218.2–250.1
2045318.6296.4–339233.6218.1–249.7
2046321.4295.7–337234.3217–250.2
2047324.6297.9–342.8238.4224.3–253.1
2048324.8304.4–341.1238221.4–254
2049324.2302.4–340.2237.7217.4–253
2050322.4299.7–339.6238.2220.7–254.5
2051326.1300.4–342236.3220.6–254.7
2052324301.5–342.8239.5224.3–255.8
2053325.6298–345.3236.3223.9–255.6
2054329.5301.3–345.1239.4220.2–257.9
2055324.4305.3–342.4238.6223.7–254.7
2056329.6299.4–349.4239214.7–260.3
2057332.4301.5–351240.4223–256.3
2058328.8305.6–347.6238.2220.2–255.7
2059330.3310.8–350.5243.9224.6–262.7
2060328.3309.4–348.2239.8222.6–260
2061330.5304.6–352.8242.5224.9–258.5
2062327.7307.3–346.5241.6222.4–259.8
2063333.4311–349.1241.3220.9–255.2
2064330.9310.6–351.6244.4225.9–259.5
2065331.4309.7–350.6242.8226.5–262.4
2066331.8312.3–347.4245.6227–263.5
2067329.1304–348.6240.7224.9–262
2068335.4309.6–354.5244224.3–265.4
2069333.5313–351.4243.9225.5–261.6
2070331.7310.9–352.7243.1225.6–261.3
2071334.6315.6–352.4246.1230.3–264
2072338.3317–353.2247.9229.9–263.7
2073334309.7–351.6243.4225.4–262.8
2074330.2310.6–352243.2224.4–264.6
2075334312–352.2244.3230.2–263.3
2076338.4321.3–352.1246.5228.5–266.6
2077341.4318.4–355.6250.1232.3–267.4
2078338.1316.6–355.8249.2230.8–264.5
2079337.5318.8–355.3244.4228.7–263.8
2080339.8315.4–358248.8230.4–267
2081339.3318.2–356.6247227.8–268.1
2082337.9316.1–353.3247230.6–264.4
2083339.2320.8–355.8247.3230.7–267.5
2084340.5321–354.6247.7229.4–265.2
2085343.8319.9–358.1248.9227–264.2
2086342.2318.7–358.7250.4230.9–269.5
2087340.7319.9–357.6245.8226.2–266.9
2088341.2318.3–354.9248.3226.7–271.1
2089337.9318.6–354.8251.9232.5–269.5
2090341.1315–356249.7227.7–267.4
2091339.7319.7–355.5248.9230.5–272.2
2092339.7320.4–356.8251229.8–274
2093341.8325.1–356.2249.9234.8–267
2094342.2324–356.4252.2234–267.5
2095340.7323.5–359.3251.1233–270.7
2096343.2324–359.7250.8234.8–270.4
2097340.3313.8–353.8250.2227.8–270.8
2098339.9318.8–357250.1228.1–268.5
2099341.5324.6–355.9251.9232.2–268.2
2100345.3319.6–357.9251.1234.5–271.5

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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