Kenya vs Madagascar

Kenya vs Madagascar: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 107.3 nights, or 1.78 times that in Madagascar.

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nights a year · CMIP6

Kenya vs Madagascar: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 107.3 nights, or 1.78 times that in Madagascar.
KenyaMadagascarCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Kenya at 277 nights and Madagascar at 198.5 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaMadagascar
2014245.6138.3
2013245.4138
2012244.7138.3
2011245136.8
2010243.8134.2
2009242.3133.5
2008240.3132.3
2007240.9133.1
2006241.5131.6
2005241.2130.3
2004241.8133.5
2003240.8131
2002240.7131.8
2001242131.7
2000239.5127.4
1999237.8128.4
1998239.2128.6
1997236.9125.3
1996234.2121.8
1995232.9123.3
1994231.9121.8
1993227.4116
1992224.8116.6
1991233.8124.9
1990236.4126.2
1989234.5124
1988233.1123.8
1987232.6122.8
1986233123.8
1985228.7120
1984230.2118.6
1983226.7116.5
1982230.6121.8
1981232.9122.1
1980231.3120.3
1979229.6120.7
1978228.7119.3
1977229.9119
1976227.8117.4
1975225.9116.5
1974230.5119.5
1973230.4119
1972228.7117
1971226116.3
1970226.3117
1969225.9116.3
1968222.9113.1
1967224113
1966225.2114.1
1965224.2112.2
1964221.8109.6
1963220.2109.7
1962227.2115.3
1961228.3118.5
1960228.8118.2
1959228.3119
1958229.1118.7
1957228117.6
1956225.5115.5
1955228.7116.6
1954227.4115.9
1953227.6116.4
1952228.5117.4
1951228.3116
1950226.3116.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaMadagascar
2015246.9232.3–256.1142.8126.7–159.3
2016244.9230.1–255137.8122.2–156
2017248.1233.1–257.7143.1125.6–159.4
2018248.7237–257.4143.7125.9–160.3
2019247.1234.8–256.7143.4124.4–162.3
2020248.6233.2–259.2143.4125.2–159
2021249.5236.3–258.1145.4128.8–160.4
2022251.5239.7–259.5150.4133.4–165.2
2023251.8239–260.8149.7132.1–166
2024254.2239.1–263150.7131.4–167.9
2025251.5238.1–261.8149128.8–169.1
2026252.2237.2–263.3150.1127.4–169.9
2027252.8238.4–263.8151.8131.9–170.8
2028254.9241.9–264.2154.9137.7–173.1
2029256243.4–264.6155.7135.2–173.8
2030253.6240.6–263.1154.8136.4–171.3
2031256244.7–264.4158.1141.3–174.8
2032257243.8–267.1157.9136.2–178.4
2033256241.8–265.9158.9136.7–177.8
2034256.2241.2–267.9158.6140.6–179.6
2035256.7243.3–266.7161.1140.2–181.6
2036256.2242.4–266.7159.5139.4–177.1
2037258.7245.9–268.4165.8144.7–182.8
2038260.3244.5–268.9166.5149.3–183.9
2039259244.4–268164.1145.1–183.9
2040258.3246.2–269.8162.8144.5–184.8
2041260.7244.8–271.2165.8143.5–183.9
2042260.3246.5–272.7165.1144.3–188.4
2043259246.6–270.5165.6148.5–184.7
2044261.2248.8–270.9167.3145.8–187
2045261.8248.7–272.9166.9147.1–187.1
2046264.8249.6–275.3171.4149.6–193
2047264.4249.8–275.3171.7148.8–193.4
2048264.2252.3–274.9173.7151.7–193.6
2049265.2252.8–275.6172.2151.4–192.9
2050263.9249.8–275.1174.4150.5–193.6
2051265.4252.1–275.1175154.3–195.1
2052266.3252.6–276.2176153.8–196.7
2053265.2251–275.4176.6151.1–197.8
2054265.2250.2–277.2175.5152.8–199.2
2055266.8251.6–277.6179.2157.3–196.8
2056266.2251.2–277.8178.8156.5–199.7
2057266.8253–278177.7155.5–201
2058266.7251.5–277.9180.5158.9–202.4
2059269.8254.7–280.5181.8158.3–202.5
2060271.1253.9–280.7185.1159.5–207.8
2061267.5253.9–281.7180.6157.6–203.8
2062268.1254–281.2180.6157.1–205.6
2063268.9255–280.1185156.8–210.7
2064270254.1–279.8184.7159.1–205.7
2065269.4255.8–282.3183.8157.1–208.5
2066270.6258.1–281187.3159.6–211
2067270.7256.1–283184.9155.9–208.9
2068270.2256–283187.5161.7–211.1
2069269.8256.1–283.3187.5162–211.3
2070270.1255.8–282.6187.8160.4–213.6
2071271.9257.9–284.4190.7162.7–216.6
2072273.5260.3–283.8191.8168.2–215.8
2073273.1259.9–285.4191.4168.7–214.5
2074271.9257.5–285.4189.4162.6–217.7
2075271.1256.5–284.7189.3163.8–214.2
2076274.1258.6–285.8191.1164.3–214
2077273.4259–286.6191.9168.8–217.1
2078273.1260–284.4190.1166.5–219.3
2079273.3258.7–286.6190.1163.7–216.2
2080275.5259.4–286.9194.8167.7–219.4
2081274.7259.8–285.6191.7166.7–218.1
2082274.8261.3–286.4193.8169.2–216.7
2083274259.6–289.3194.6166.1–218.1
2084276.8259–288.8197.9170–219.7
2085276.2261.5–289.1197.8172.3–223.7
2086275.1260–289.1192.9169.6–220
2087276.2260.3–288.5195.2170.4–220.1
2088276.8261.6–289.7198.1165.1–225.5
2089275.9260.3–288.8196.3167.9–227.6
2090275.3260.5–290.5197.5172.4–228.1
2091277.7260.4–290.9199.2172.7–226.7
2092276.2261.2–290.7202.4170.7–226.6
2093276.9262–290.1202.1172.3–230.5
2094277262.8–288.9198.3168.6–224
2095278.4262.3–290.4200.7171.7–225.1
2096277.6260.5–292199.8173.6–226.3
2097277261–290.2201.2170–227.6
2098277.6262.3–291.5201.1170.7–227.2
2099277.9260.8–292.4198.3173.8–225.8
2100277261.8–290.4198.5173.3–227.7

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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