Mali vs Niger

Mali vs Niger: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 28.6 nights, or 1.13 times that in Niger.

Watch it change on the map

nights a year · CMIP6

Mali vs Niger: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 28.6 nights, or 1.13 times that in Niger.
MaliNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mali has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Mali at 283.6 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearMaliNiger
2014250.2221.6
2013247.3216.1
2012253.1220.8
2011251.9220.1
2010250.4219.1
2009248217.2
2008247.8216.8
2007248.1216.9
2006245.5214.3
2005244.3213.6
2004243.9213.6
2003247.1215.5
2002245.8214.6
2001245.6213.4
2000243.2211.2
1999242.4210.4
1998240.6207.7
1997240.7211.5
1996236.4208.6
1995238208.3
1994236.2207.8
1993235.1202.6
1992232203.4
1991238.7209.4
1990241208.1
1989236.3206
1988234.7203
1987236.1204.9
1986237.1206.8
1985235.3203.9
1984233201.8
1983231.2200.5
1982234.9201.9
1981233.9204.3
1980231.5200.6
1979233.8200.5
1978234.8202
1977233.6203.8
1976231.7201.7
1975232.4199
1974229.7200.6
1973230.3202.6
1972230.7200.7
1971229.5200.8
1970229.9199.8
1969227.3196.1
1968230.5200.3
1967229196.6
1966228.1198.2
1965230.2199
1964228.9199.2
1963228.2196.7
1962231.7201.1
1961231.6198.2
1960235.1203.2
1959231.8201.6
1958231.8199.2
1957233.3201.1
1956230.7199.6
1955230.6199.7
1954232201.1
1953228.3196.5
1952229.2197.9
1951231.4199.8
1950228.6200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliNiger
2015247.9231.5–264.7218.8202.8–235.8
2016248231.3–262.6217.7201.8–230.6
2017252.7233.6–268.2222.4205.2–237.4
2018254.2236.4–269220.5206.3–238.8
2019251.6233.5–272.3219.1201.8–238.1
2020251.3231.2–270.7220.9206.9–234.7
2021254.8238.5–270222.8208.2–240.2
2022257237.8–275.3226.3209.7–239.2
2023254.2239.6–269.2223.2206.6–238.4
2024259.3242.3–276.8228.4214.3–242.9
2025256.2239.2–272.3226.7211.2–241
2026256.8237.2–277.8226.3210–243.1
2027258.5240.3–273.1228.5209.9–241.1
2028259.7243.6–273.9227.1211.9–240.2
2029260.8240.3–275.3230.4213.3–247.1
2030258.1237.5–272.6226.4211.6–242.2
2031262.2243.4–280.6230.1210.8–247.1
2032260.5242.1–278.2228.7212.3–241
2033262.1241.7–280.3229.9214.9–245.4
2034260.7242–275.3229.5212.1–244.9
2035261.5244.8–283.6232.3217.5–248
2036262.5244.6–281.1230.2213.7–244.6
2037264.5245.2–279.6233.2215.1–246.5
2038266246.7–283.2234.3218.2–249.7
2039262.3245–281.6231214.2–247.1
2040263.6247.5–279.6230.8214.8–247.5
2041264.6250.8–283.1232.6218.6–252.9
2042265.7245.9–283.5233.8216.2–250.5
2043264.8246.9–278.8232.5217.8–245.8
2044269.3247.4–284.7233.8218.2–250.1
2045265.6248.9–283.7233.6218.1–249.7
2046269.8247.5–286.4234.3217–250.2
2047271.9251.2–290.3238.4224.3–253.1
2048270.4254.4–288.2238221.4–254
2049272252.1–288.2237.7217.4–253
2050269.5250.6–286.4238.2220.7–254.5
2051268.8251.7–286.9236.3220.6–254.7
2052270.1252.7–292.1239.5224.3–255.8
2053269.3249.2–288.8236.3223.9–255.6
2054270.3251.7–290.6239.4220.2–257.9
2055270.9252.7–288.1238.6223.7–254.7
2056273248.6–291.4239214.7–260.3
2057275.5255.2–295240.4223–256.3
2058271252.7–293.2238.2220.2–255.7
2059274.5259.3–299.6243.9224.6–262.7
2060273.5258–293.7239.8222.6–260
2061275.4257–298242.5224.9–258.5
2062270.8251.7–291.8241.6222.4–259.8
2063275.9256.6–292.2241.3220.9–255.2
2064276.4256.6–298.4244.4225.9–259.5
2065275.3256–295.1242.8226.5–262.4
2066276.9260–296.5245.6227–263.5
2067272.6255.4–293.3240.7224.9–262
2068277.5258.1–296.5244224.3–265.4
2069276.1257.7–293.3243.9225.5–261.6
2070277.2256.6–296.6243.1225.6–261.3
2071277.2258.4–295.6246.1230.3–264
2072281.9263.8–298.9247.9229.9–263.7
2073276.8257.9–296.8243.4225.4–262.8
2074277.7258.7–295.9243.2224.4–264.6
2075278.5260.1–298.5244.3230.2–263.3
2076278.1261.1–294.2246.5228.5–266.6
2077283.8263.1–302.3250.1232.3–267.4
2078283.8263.5–299.4249.2230.8–264.5
2079278.9259.2–300.6244.4228.7–263.8
2080281.2262.1–299.4248.8230.4–267
2081279.1259.3–301.8247227.8–268.1
2082280.2260.2–298.4247230.6–264.4
2083280.8260.8–302.3247.3230.7–267.5
2084280.4263.8–301247.7229.4–265.2
2085284.6259.2–303248.9227–264.2
2086281.9262.8–302.4250.4230.9–269.5
2087279.7258.8–302.8245.8226.2–266.9
2088282.3260.7–303.3248.3226.7–271.1
2089283.4262.4–300.5251.9232.5–269.5
2090283.9259.8–301.9249.7227.7–267.4
2091283.1260.4–304.8248.9230.5–272.2
2092281.6259.7–303.1251229.8–274
2093284.8265.8–305.4249.9234.8–267
2094284.6262.8–305.6252.2234–267.5
2095283.6262–304.6251.1233–270.7
2096284.9263.3–306.3250.8234.8–270.4
2097280261–300.5250.2227.8–270.8
2098282.5262–302.1250.1228.1–268.5
2099285.3266.2–305.4251.9232.2–268.2
2100283.6262.8–304.1251.1234.5–271.5

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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