Madagascar vs Sudan

Madagascar vs Sudan: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 104.1 nights, or 1.75 times that in Madagascar.

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nights a year · CMIP6

Madagascar vs Sudan: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 104.1 nights, or 1.75 times that in Madagascar.
MadagascarSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Madagascar at 198.5 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarSudan
2014138.3242.4
2013138240
2012138.3242
2011136.8242.2
2010134.2240.6
2009133.5236.5
2008132.3237.1
2007133.1236
2006131.6235.3
2005130.3233.1
2004133.5233.5
2003131235.6
2002131.8234.7
2001131.7235.4
2000127.4230.5
1999128.4232.1
1998128.6230.2
1997125.3231.1
1996121.8227.3
1995123.3227.8
1994121.8225.3
1993116219.1
1992116.6217.8
1991124.9227.3
1990126.2227.5
1989124223
1988123.8223.1
1987122.8224.4
1986123.8226.4
1985120222.1
1984118.6220.7
1983116.5217
1982121.8216.3
1981122.1223.2
1980120.3220
1979120.7218.4
1978119.3218.5
1977119219.3
1976117.4220.1
1975116.5215.7
1974119.5217.5
1973119220
1972117217.9
1971116.3215.5
1970117217
1969116.3213.1
1968113.1214
1967113210.3
1966114.1213.3
1965112.2213.4
1964109.6213.2
1963109.7210.1
1962115.3217
1961118.5216.9
1960118.2221.3
1959119217.8
1958118.7216.2
1957117.6218.9
1956115.5217.2
1955116.6216.6
1954115.9218.9
1953116.4215.1
1952117.4216.4
1951116218.5
1950116.3214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarSudan
2015142.8126.7–159.3242.3225.3–258.3
2016137.8122.2–156241.4223.3–254.1
2017143.1125.6–159.4243.2223–259.1
2018143.7125.9–160.3242.3226.4–258.5
2019143.4124.4–162.3243.1221.7–260.4
2020143.4125.2–159244.9225.9–261.7
2021145.4128.8–160.4245.6229.1–261.5
2022150.4133.4–165.2249230.9–262.3
2023149.7132.1–166247.1226.8–263.1
2024150.7131.4–167.9251.5232.8–266.1
2025149128.8–169.1250.7232.4–265.6
2026150.1127.4–169.9250230.8–266.6
2027151.8131.9–170.8248.8228.4–265.6
2028154.9137.7–173.1249232.2–263.1
2029155.7135.2–173.8251.4232.1–266
2030154.8136.4–171.3252235.4–266.7
2031158.1141.3–174.8253.3234.4–268.9
2032157.9136.2–178.4250.4232.3–266.6
2033158.9136.7–177.8254.4235.3–269.4
2034158.6140.6–179.6254.2234.5–269.9
2035161.1140.2–181.6258.3240.2–273.6
2036159.5139.4–177.1252.8235.6–268.6
2037165.8144.7–182.8256.7238.6–271.8
2038166.5149.3–183.9258.7244.8–272.1
2039164.1145.1–183.9259.5241.2–272.5
2040162.8144.5–184.8256.4236.7–272.3
2041165.8143.5–183.9259.1241.2–274.5
2042165.1144.3–188.4258.7242–274.7
2043165.6148.5–184.7258.1240.3–272.6
2044167.3145.8–187257.3238.6–274.7
2045166.9147.1–187.1258.8243.1–276.2
2046171.4149.6–193261.1241.7–277.6
2047171.7148.8–193.4261.4244.6–278.4
2048173.7151.7–193.6260.4243.4–279.5
2049172.2151.4–192.9261.9242.6–275.9
2050174.4150.5–193.6263.5245.4–279
2051175154.3–195.1263.6246.6–278.8
2052176153.8–196.7263.8248.7–278.3
2053176.6151.1–197.8262.8242.4–279.2
2054175.5152.8–199.2266.3246.6–282.9
2055179.2157.3–196.8265.6245.9–281.4
2056178.8156.5–199.7264.1242.6–281.5
2057177.7155.5–201266.4247.6–283.4
2058180.5158.9–202.4265.2247.4–280.3
2059181.8158.3–202.5268.4249.6–285.4
2060185.1159.5–207.8263.6246.7–284.4
2061180.6157.6–203.8266.9250.1–281.9
2062180.6157.1–205.6266.4248.5–285
2063185156.8–210.7267.1246.9–283.4
2064184.7159.1–205.7269250.7–284.7
2065183.8157.1–208.5269.8253.9–285.6
2066187.3159.6–211271.4251.9–287.3
2067184.9155.9–208.9270.9250–288.4
2068187.5161.7–211.1271.9251.7–289.8
2069187.5162–211.3268251.1–286.2
2070187.8160.4–213.6269252.3–285.8
2071190.7162.7–216.6275.5254.1–290.4
2072191.8168.2–215.8273.3254.2–289.4
2073191.4168.7–214.5271.9250.7–287.6
2074189.4162.6–217.7270.9249–290.1
2075189.3163.8–214.2273.1254–291.9
2076191.1164.3–214272.7255.2–290.9
2077191.9168.8–217.1274.6255.2–292.7
2078190.1166.5–219.3274.3255.6–291.2
2079190.1163.7–216.2272255.2–288.5
2080194.8167.7–219.4276.6256–292.2
2081191.7166.7–218.1275.1254.1–294.8
2082193.8169.2–216.7272.9258.7–288.6
2083194.6166.1–218.1276.5258–291.7
2084197.9170–219.7275.4253–294.9
2085197.8172.3–223.7275.3258.6–291.6
2086192.9169.6–220276.4256.9–296.6
2087195.2170.4–220.1273.5253.1–293.3
2088198.1165.1–225.5273.6253.7–293.6
2089196.3167.9–227.6276.5256.6–293.4
2090197.5172.4–228.1276.6256.4–294.6
2091199.2172.7–226.7277.4256.4–296.6
2092202.4170.7–226.6274.6254.3–294.9
2093202.1172.3–230.5278261.9–292.1
2094198.3168.6–224280.3262.2–294
2095200.7171.7–225.1277.5262.6–294
2096199.8173.6–226.3279.7258.7–297
2097201.2170–227.6276.3254.1–297.6
2098201.1170.7–227.2277.7258.2–295.5
2099198.3173.8–225.8276.8257.2–296.2
2100198.5173.3–227.7278.6259–294.3

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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