Mali vs Mauritania

Mali vs Mauritania: Tropical nights

Tropical nights in 2014: 250.2 nights in Mali and 215.9 nights in Mauritania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 34.3 nights, or 1.16 times that in Mauritania.

Watch it change on the map

nights a year · CMIP6

Mali vs Mauritania: Tropical nightsTropical nights in 2014: 250.2 nights in Mali and 215.9 nights in Mauritania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 34.3 nights, or 1.16 times that in Mauritania.
MaliMauritaniaCMIP6 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 Mauritania at 251.8 nights in 2100.

Every year

nights a year · CMIP6

YearMaliMauritania
2014250.2215.9
2013247.3217.9
2012253.1218.8
2011251.9217.9
2010250.4216
2009248215.4
2008247.8216.2
2007248.1213.3
2006245.5214.6
2005244.3212.8
2004243.9213.3
2003247.1212.2
2002245.8211.4
2001245.6213.4
2000243.2211.1
1999242.4210.9
1998240.6208.5
1997240.7207
1996236.4202.9
1995238205.2
1994236.2203.4
1993235.1203.1
1992232196
1991238.7205.1
1990241210.7
1989236.3201.9
1988234.7201.6
1987236.1201.5
1986237.1202
1985235.3198.9
1984233197.8
1983231.2197.8
1982234.9203
1981233.9199.8
1980231.5199.3
1979233.8201.6
1978234.8199.9
1977233.6199.9
1976231.7197.7
1975232.4199.6
1974229.7193.9
1973230.3196.5
1972230.7196
1971229.5194.7
1970229.9192.2
1969227.3194.8
1968230.5195.5
1967229194.7
1966228.1194.2
1965230.2192.8
1964228.9195
1963228.2196.3
1962231.7199.5
1961231.6198.3
1960235.1200.7
1959231.8196.9
1958231.8197.7
1957233.3197.8
1956230.7196.4
1955230.6198.2
1954232195.5
1953228.3192.9
1952229.2196.6
1951231.4196.2
1950228.6194.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMaliMauritania
2015247.9231.5–264.7216.1198.7–232.8
2016248231.3–262.6215.8197.2–230.6
2017252.7233.6–268.2220.3202–234.4
2018254.2236.4–269219.7202.8–237.3
2019251.6233.5–272.3223.4205.7–241.8
2020251.3231.2–270.7221.3196.9–237.4
2021254.8238.5–270222.3207.2–237.6
2022257237.8–275.3225.3206.8–246
2023254.2239.6–269.2221.1207.6–234.5
2024259.3242.3–276.8226210.6–243.4
2025256.2239.2–272.3222.6207.3–241.8
2026256.8237.2–277.8224207.4–241.8
2027258.5240.3–273.1225.9207.3–242.6
2028259.7243.6–273.9227.4210–239.9
2029260.8240.3–275.3226.9209.2–242.4
2030258.1237.5–272.6223.8205.3–241.8
2031262.2243.4–280.6230.6210.7–248.1
2032260.5242.1–278.2229.3212.1–247.1
2033262.1241.7–280.3227.6207.3–246.1
2034260.7242–275.3230.1213–247.7
2035261.5244.8–283.6228.6212.8–247.3
2036262.5244.6–281.1229.8215.4–247.8
2037264.5245.2–279.6231.9212.6–249.1
2038266246.7–283.2232.7211.7–250.3
2039262.3245–281.6231.8215.8–251
2040263.6247.5–279.6232.8214.7–253.3
2041264.6250.8–283.1232.4217.9–251.6
2042265.7245.9–283.5234.2214.6–253.8
2043264.8246.9–278.8232.5217.8–248.4
2044269.3247.4–284.7237.7218.4–254.1
2045265.6248.9–283.7235.8216.8–251.9
2046269.8247.5–286.4239.1218.3–255.4
2047271.9251.2–290.3240.3219.6–261
2048270.4254.4–288.2239.5222.3–259.9
2049272252.1–288.2240.1220.7–257.1
2050269.5250.6–286.4237.2218.9–253.5
2051268.8251.7–286.9236.7218.5–257.6
2052270.1252.7–292.1236.5219.6–262.4
2053269.3249.2–288.8237.8218.3–258.6
2054270.3251.7–290.6238.6219.5–258.4
2055270.9252.7–288.1240.1219.3–257.3
2056273248.6–291.4241.2222.9–259
2057275.5255.2–295244.6223.1–266.2
2058271252.7–293.2239.1221.4–262.5
2059274.5259.3–299.6242.3226.2–265.4
2060273.5258–293.7243.1227.4–261.8
2061275.4257–298245.3222.9–265.9
2062270.8251.7–291.8238.9218.3–263.2
2063275.9256.6–292.2246.9224.6–263.4
2064276.4256.6–298.4244.1224.1–266.6
2065275.3256–295.1243.9222.8–262.7
2066276.9260–296.5244.1226.3–265
2067272.6255.4–293.3243.3223.2–260.4
2068277.5258.1–296.5246228.1–265.8
2069276.1257.7–293.3244.7224.5–262.9
2070277.2256.6–296.6246.2223.5–265.7
2071277.2258.4–295.6244.8226.7–264
2072281.9263.8–298.9247.7228.1–267.9
2073276.8257.9–296.8250231.5–271.3
2074277.7258.7–295.9249.4225.1–265.9
2075278.5260.1–298.5245.8226.5–268.4
2076278.1261.1–294.2246.5227.9–264
2077283.8263.1–302.3249.7230.2–273.4
2078283.8263.5–299.4253.1231.4–269.4
2079278.9259.2–300.6249.4224.5–270
2080281.2262.1–299.4248.9229–267.4
2081279.1259.3–301.8248228.7–272.3
2082280.2260.2–298.4250.5227.7–266.6
2083280.8260.8–302.3250.2228.8–273.7
2084280.4263.8–301250.2229.2–269.9
2085284.6259.2–303256.7229.3–276.1
2086281.9262.8–302.4248.5229.5–274.5
2087279.7258.8–302.8249.6228–274
2088282.3260.7–303.3252.9232.3–277.9
2089283.4262.4–300.5253.8230.8–275.2
2090283.9259.8–301.9254232.1–272.4
2091283.1260.4–304.8252.1232.1–277.6
2092281.6259.7–303.1250.4231.2–272
2093284.8265.8–305.4253.7235.3–276.4
2094284.6262.8–305.6254233.7–275.6
2095283.6262–304.6253.3229.7–275.7
2096284.9263.3–306.3254.6227.9–276.1
2097280261–300.5248.6231–268.7
2098282.5262–302.1254.5232.7–274.9
2099285.3266.2–305.4254.4231.4–278
2100283.6262.8–304.1251.8231–272.5

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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