Madagascar vs Uganda

Madagascar vs Uganda: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 13.6 nights, or 1.11 times that in Uganda.

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nights a year · CMIP6

Madagascar vs Uganda: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 13.6 nights, or 1.11 times that in Uganda.
MadagascarUgandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Madagascar 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarUganda
2014138.3124.7
2013138124
2012138.3122.2
2011136.8125.7
2010134.2122.5
2009133.5114.8
2008132.3114.1
2007133.1111.2
2006131.6117.4
2005130.3113.8
2004133.5114.6
2003131114.4
2002131.8114.4
2001131.7117.1
2000127.4109
1999128.4105.5
1998128.6105
1997125.3106.1
1996121.8102.1
1995123.399.9
1994121.894.6
199311690.8
1992116.689.9
1991124.9102.1
1990126.2103.8
198912499.1
1988123.898.6
1987122.898.3
1986123.899.2
198512092.1
1984118.694.6
1983116.590.4
1982121.894.4
1981122.198.5
1980120.396.3
1979120.793.9
1978119.391
197711995.1
1976117.492
1975116.589.6
1974119.591.8
197311992.8
197211790
1971116.387.1
197011788.8
1969116.388
1968113.187.3
196711382.3
1966114.182.5
1965112.282.2
1964109.678.2
1963109.780.3
1962115.388.5
1961118.590.7
1960118.293.2
195911991.3
1958118.788.7
1957117.690.1
1956115.588.8
1955116.689
1954115.989.5
1953116.489
1952117.489.6
195111691.1
1950116.387.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarUganda
2015142.8126.7–159.3131.598.6–164.1
2016137.8122.2–15612398.5–154.1
2017143.1125.6–159.4133.7108.6–162.7
2018143.7125.9–160.3134.2102.5–164
2019143.4124.4–162.3131.3104.8–166.2
2020143.4125.2–159140.7102.6–171.5
2021145.4128.8–160.4137.9112.9–175.4
2022150.4133.4–165.2140116.2–169.9
2023149.7132.1–166140.4114.2–184.8
2024150.7131.4–167.9151.1113.5–186.7
2025149128.8–169.1143108.5–176.4
2026150.1127.4–169.9144.6109.7–179.6
2027151.8131.9–170.8147.6116–175.4
2028154.9137.7–173.1151.6120.2–179.6
2029155.7135.2–173.8155.2127.3–178.6
2030154.8136.4–171.3150.4117.6–185.1
2031158.1141.3–174.8161.6132–187.2
2032157.9136.2–178.4159.1134.2–190.5
2033158.9136.7–177.8158.9123.4–200.6
2034158.6140.6–179.6161.5135.6–202.5
2035161.1140.2–181.6164.9126.3–193
2036159.5139.4–177.1158.5127.7–195.4
2037165.8144.7–182.8168.3138.2–207.3
2038166.5149.3–183.9173.8139.7–206.2
2039164.1145.1–183.9171.2130.1–205
2040162.8144.5–184.8170.4134.1–207.4
2041165.8143.5–183.9176.3144.6–208
2042165.1144.3–188.4175137.8–214.3
2043165.6148.5–184.7173.6132.8–207.6
2044167.3145.8–187176.1136.8–206.9
2045166.9147.1–187.1178.9138.3–217.7
2046171.4149.6–193191.9136.6–235
2047171.7148.8–193.4187.7156.6–225.3
2048173.7151.7–193.6189.3151.5–227.4
2049172.2151.4–192.9195.1154.9–233.6
2050174.4150.5–193.6191150.7–236.4
2051175154.3–195.1191.2154.4–228.2
2052176153.8–196.7192.6157.7–231.7
2053176.6151.1–197.8194.5149.7–233.5
2054175.5152.8–199.2199156.3–236.8
2055179.2157.3–196.8201.3151.7–240.7
2056178.8156.5–199.7198.9156.9–240.2
2057177.7155.5–201200165.5–244.7
2058180.5158.9–202.4208.8156.5–248.3
2059181.8158.3–202.5212.7171.1–254
2060185.1159.5–207.8212.6160.3–253.1
2061180.6157.6–203.8208.9162.4–258.1
2062180.6157.1–205.6206.4159.1–267.6
2063185156.8–210.7209.3168.5–246.3
2064184.7159.1–205.7210.6166.2–253.8
2065183.8157.1–208.5214.5167.8–261.1
2066187.3159.6–211211.9171.8–256.1
2067184.9155.9–208.9208.4168.3–269.8
2068187.5161.7–211.1216.4169.7–268.7
2069187.5162–211.3213170.3–268.1
2070187.8160.4–213.6216.4176.4–270.9
2071190.7162.7–216.6215.5174.6–273.5
2072191.8168.2–215.8227.3184.1–272.3
2073191.4168.7–214.5230.4189.3–278.5
2074189.4162.6–217.7220.7176.9–277
2075189.3163.8–214.2217.7167–274.2
2076191.1164.3–214228.1178.9–279
2077191.9168.8–217.1229.5189.6–280.5
2078190.1166.5–219.3225.6187.8–276.4
2079190.1163.7–216.2231.9168.8–277.7
2080194.8167.7–219.4232.8182.6–283.1
2081191.7166.7–218.1227.9187.6–279.3
2082193.8169.2–216.7233.1185.6–279.4
2083194.6166.1–218.1232.2175.7–297
2084197.9170–219.7237.2185.5–288.8
2085197.8172.3–223.7239.5192.4–291.7
2086192.9169.6–220236.2189.8–289.4
2087195.2170.4–220.1239.4188.9–294
2088198.1165.1–225.5236.8193.6–288.9
2089196.3167.9–227.6238.8193.8–293.7
2090197.5172.4–228.1237.7190.1–301.5
2091199.2172.7–226.7251188.7–300.1
2092202.4170.7–226.6243.4194.9–297.8
2093202.1172.3–230.5244.4199.2–296.8
2094198.3168.6–224245.6202.9–299.8
2095200.7171.7–225.1253.2202.4–306.1
2096199.8173.6–226.3241.4196.5–304
2097201.2170–227.6243.1194–296.6
2098201.1170.7–227.2242.9199–302.3
2099198.3173.8–225.8247.3194.4–306.1
2100198.5173.3–227.7245.3195.5–307.2

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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