Madagascar vs Zambia

Madagascar vs Zambia: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 75.4 nights, or 2.2 times that in Zambia.

nights a year · CMIP6

Madagascar vs Zambia: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 75.4 nights, or 2.2 times that in Zambia.
MadagascarZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarZambia
2014138.362.9
201313864.7
2012138.363.9
2011136.861.5
2010134.259.3
2009133.557.5
2008132.356
2007133.155.1
2006131.655.9
2005130.354.5
2004133.558.4
200313156.6
2002131.855
2001131.759
2000127.452.9
1999128.448
1998128.651.3
1997125.347.8
1996121.843.5
1995123.343.9
1994121.841.6
199311635.3
1992116.636
1991124.942.7
1990126.246.4
198912445
1988123.843.6
1987122.844
1986123.843.8
198512038.7
1984118.638.7
1983116.538.8
1982121.840
1981122.141.7
1980120.339.7
1979120.740.7
1978119.338.9
197711940
1976117.435.7
1975116.537.1
1974119.537.4
197311938.8
197211735
1971116.336
197011738.1
1969116.337.1
1968113.134.1
196711332.2
1966114.133.1
1965112.234.9
1964109.631.3
1963109.730.5
1962115.338.8
1961118.537
1960118.239.3
195911938.3
1958118.739
1957117.637.8
1956115.534.6
1955116.638.2
1954115.938
1953116.435.4
1952117.437.6
195111636.9
1950116.336
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarZambia
2015142.8126.7–159.372.150.1–93.9
2016137.8122.2–15666.845.9–85.7
2017143.1125.6–159.471.449.7–92.5
2018143.7125.9–160.373.852.7–94.8
2019143.4124.4–162.373.354–97.6
2020143.4125.2–15977.556.9–100.4
2021145.4128.8–160.476.755.7–104.5
2022150.4133.4–165.284.861.6–109.7
2023149.7132.1–16684.763–108
2024150.7131.4–167.985.158.2–113.9
2025149128.8–169.184.957.1–116
2026150.1127.4–169.983.658.4–119.4
2027151.8131.9–170.889.562.5–115.7
2028154.9137.7–173.189.965–118.6
2029155.7135.2–173.89669.8–122.8
2030154.8136.4–171.39166.7–118.1
2031158.1141.3–174.897.668.2–121.3
2032157.9136.2–178.494.970.3–122.2
2033158.9136.7–177.898.270.1–123.6
2034158.6140.6–179.697.370.4–135.2
2035161.1140.2–181.6104.168.4–137.8
2036159.5139.4–177.199.568.7–131.5
2037165.8144.7–182.8107.177.4–139.8
2038166.5149.3–183.9110.383.2–138.8
2039164.1145.1–183.9101.874.3–139.1
2040162.8144.5–184.8100.872.5–145.3
2041165.8143.5–183.9113.978.7–147.6
2042165.1144.3–188.4111.379.1–155.1
2043165.6148.5–184.7106.678.3–150.6
2044167.3145.8–187110.574.3–145.5
2045166.9147.1–187.1109.882.2–148.2
2046171.4149.6–193119.485.9–160
2047171.7148.8–193.4123.191.1–159.4
2048173.7151.7–193.6124.590.6–160.2
2049172.2151.4–192.9124.586.1–167.1
2050174.4150.5–193.6130.592–166
2051175154.3–195.1128.498.1–169.8
2052176153.8–196.7130.798.6–170.4
2053176.6151.1–197.8128.488–168.8
2054175.5152.8–199.2132.193–169.6
2055179.2157.3–196.8132.1100.1–176.1
2056178.8156.5–199.7132.492.7–179.6
2057177.7155.5–201133.298.5–178.5
2058180.5158.9–202.4137.299.2–179.7
2059181.8158.3–202.5139.8105.8–189.5
2060185.1159.5–207.8145.4102.9–191
2061180.6157.6–203.8136.692.8–196.9
2062180.6157.1–205.6143.9101–194.7
2063185156.8–210.7144.5101.7–187.8
2064184.7159.1–205.7147.998.4–180.9
2065183.8157.1–208.5148.6104.3–199.8
2066187.3159.6–211152.1109.4–193.6
2067184.9155.9–208.9140.6103.2–195.7
2068187.5161.7–211.1150.8105.7–200.3
2069187.5162–211.3150.5106.3–197
2070187.8160.4–213.6145.8104.7–202.4
2071190.7162.7–216.6153.1112.7–212
2072191.8168.2–215.8157.2120–195.7
2073191.4168.7–214.5161.5115.2–210.9
2074189.4162.6–217.7149.2115–198.7
2075189.3163.8–214.2148.2111.5–202.2
2076191.1164.3–214150.4112–201.9
2077191.9168.8–217.1156.5120.3–208.3
2078190.1166.5–219.3157.2122.2–209.5
2079190.1163.7–216.2156.8118.1–207.3
2080194.8167.7–219.4159.8116–211.9
2081191.7166.7–218.1160.2117.1–208.6
2082193.8169.2–216.7159.6119.6–200.6
2083194.6166.1–218.1159.5110.7–219.9
2084197.9170–219.7166124.3–210.3
2085197.8172.3–223.7172.9126.8–221.1
2086192.9169.6–220161.9120.6–224.1
2087195.2170.4–220.1158.3129.2–219.6
2088198.1165.1–225.5168.4123.9–218.5
2089196.3167.9–227.6168.5129.9–217.9
2090197.5172.4–228.1165.7124–223.8
2091199.2172.7–226.7177.4129.5–227.2
2092202.4170.7–226.6170.6127.8–221.5
2093202.1172.3–230.5173.6123.6–223.3
2094198.3168.6–224171.4130.3–220.7
2095200.7171.7–225.1179131.6–228.6
2096199.8173.6–226.3170.8124.8–233.3
2097201.2170–227.6167.2122.2–224.3
2098201.1170.7–227.2172.5131.9–226.9
2099198.3173.8–225.8171.7126.5–229.1
2100198.5173.3–227.7171.5124.3–228

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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