Ethiopia vs Mali

Ethiopia vs Mali: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 105.3 nights, or 1.73 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Ethiopia vs Mali: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 250.2 nights in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 105.3 nights, or 1.73 times that in Ethiopia.
EthiopiaMaliCMIP6 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 Ethiopia at 201.7 nights and Mali at 283.6 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaMali
2014144.9250.2
2013145.1247.3
2012144.4253.1
2011145.6251.9
2010142.4250.4
2009140.3248
2008137.1247.8
2007138.2248.1
2006138.7245.5
2005138.1244.3
2004139.1243.9
2003138.8247.1
2002137.4245.8
2001139.2245.6
2000135.5243.2
1999132.6242.4
1998132.9240.6
1997132.7240.7
1996129.7236.4
1995127.8238
1994126.3236.2
1993122.5235.1
1992119.7232
1991129.5238.7
1990132.7241
1989129.4236.3
1988128.2234.7
1987126.4236.1
1986128.1237.1
1985122.8235.3
1984124.8233
1983120.6231.2
1982126.3234.9
1981127233.9
1980124.9231.5
1979125.1233.8
1978124.7234.8
1977125.8233.6
1976122231.7
1975119.5232.4
1974124229.7
1973125.2230.3
1972122.3230.7
1971120.6229.5
1970121.3229.9
1969120.4227.3
1968119.1230.5
1967118.1229
1966119.5228.1
1965117.4230.2
1964116.6228.9
1963115.7228.2
1962121.6231.7
1961124.2231.6
1960124.5235.1
1959121.6231.8
1958124.1231.8
1957123.2233.3
1956120.9230.7
1955122.8230.6
1954121.6232
1953121.2228.3
1952122.8229.2
1951123231.4
1950122228.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaMali
2015146.6129.4–163.9247.9231.5–264.7
2016144.1127–160.6248231.3–262.6
2017148.3129.2–164.9252.7233.6–268.2
2018149.6131.6–166254.2236.4–269
2019146.2129.3–166251.6233.5–272.3
2020149.4129.6–168.5251.3231.2–270.7
2021150.7132.1–170254.8238.5–270
2022154135.7–171.2257237.8–275.3
2023153.5135.4–171.4254.2239.6–269.2
2024156.5135.9–175.6259.3242.3–276.8
2025154132.6–175.5256.2239.2–272.3
2026153132–175256.8237.2–277.8
2027154.2134.4–175.3258.5240.3–273.1
2028157.5138.3–177.4259.7243.6–273.9
2029159.2141.8–176.8260.8240.3–275.3
2030156.8136.3–175.7258.1237.5–272.6
2031161.4142.4–179.1262.2243.4–280.6
2032161.7143.1–182.5260.5242.1–278.2
2033161.8140–180.9262.1241.7–280.3
2034158.8141.5–184.3260.7242–275.3
2035162141.7–184.2261.5244.8–283.6
2036160.5143.6–179.4262.5244.6–281.1
2037165145.8–184.5264.5245.2–279.6
2038167.1146.5–186.7266246.7–283.2
2039164.5143.9–186262.3245–281.6
2040165.9146.2–190.1263.6247.5–279.6
2041167.9146.3–189.3264.6250.8–283.1
2042167.7146–194.3265.7245.9–283.5
2043167.3145.5–190.8264.8246.9–278.8
2044168.2148.2–189.9269.3247.4–284.7
2045170.7149.1–192.3265.6248.9–283.7
2046175.3150–198.6269.8247.5–286.4
2047176.9151.8–197.5271.9251.2–290.3
2048177.5155.4–199.1270.4254.4–288.2
2049177.5157.9–198.4272252.1–288.2
2050176.4153.8–199269.5250.6–286.4
2051176.6155.3–199.7268.8251.7–286.9
2052177155.6–200.7270.1252.7–292.1
2053176.7154.2–201.6269.3249.2–288.8
2054177.6156.9–201.1270.3251.7–290.6
2055180.6155.2–202.3270.9252.7–288.1
2056177.3155–205.4273248.6–291.4
2057180.3159.3–205.5275.5255.2–295
2058182.6153.7–209.4271252.7–293.2
2059185.7160.1–210.6274.5259.3–299.6
2060185.9160.3–210.4273.5258–293.7
2061183.3158.3–211.7275.4257–298
2062183.8155.4–213270.8251.7–291.8
2063184.5159.1–208.6275.9256.6–292.2
2064186.7160.6–207.2276.4256.6–298.4
2065183.7162.4–212.9275.3256–295.1
2066187.1165.4–210.1276.9260–296.5
2067187.1160.7–214.5272.6255.4–293.3
2068187.6160.4–215.8277.5258.1–296.5
2069187.8165.4–215.8276.1257.7–293.3
2070187.9161.6–216.9277.2256.6–296.6
2071192.7165.2–219.5277.2258.4–295.6
2072193.6167.4–214.5281.9263.8–298.9
2073193.3169.7–218.7276.8257.9–296.8
2074188.5163.9–219277.7258.7–295.9
2075191.9162.7–218.6278.5260.1–298.5
2076195166.9–218.9278.1261.1–294.2
2077194.1169.3–223.3283.8263.1–302.3
2078192.1168.4–218.6283.8263.5–299.4
2079193.4166.6–220.9278.9259.2–300.6
2080196.1169.2–222.4281.2262.1–299.4
2081194.6171–221.4279.1259.3–301.8
2082195.4168.8–219.9280.2260.2–298.4
2083194.6168.2–228.7280.8260.8–302.3
2084198.5170.7–224.2280.4263.8–301
2085198.4173.1–226.3284.6259.2–303
2086198.6172.3–228.4281.9262.8–302.4
2087199170.6–226.6279.7258.8–302.8
2088199170.7–227.7282.3260.7–303.3
2089198.6171.2–226.2283.4262.4–300.5
2090198.6173.4–227.7283.9259.8–301.9
2091203.6171.9–232.1283.1260.4–304.8
2092200.7172.5–229.7281.6259.7–303.1
2093201.4175.2–228.6284.8265.8–305.4
2094200.2174–228.9284.6262.8–305.6
2095203.9175.7–231.9283.6262–304.6
2096199.1170.5–230.8284.9263.3–306.3
2097198.4171.8–229.3280261–300.5
2098198.7172.1–231.5282.5262–302.1
2099201.8172.8–233.3285.3266.2–305.4
2100201.7175.1–231.8283.6262.8–304.1

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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