Côte d’Ivoire vs Malawi

Côte d’Ivoire vs Malawi: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 203.5 nights, or 2.47 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Côte d’Ivoire vs Malawi: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 203.5 nights, or 2.47 times that in Malawi.
Côte d’IvoireMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Côte d’Ivoire has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Côte d’Ivoire at 359.6 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireMalawi
2014341.6138.1
2013339.6138.9
2012342.3137.4
2011340.1136.6
2010338.6132.4
2009337.3131.4
2008337.1130.8
2007336.7132.8
2006336.6129.8
2005337.6129.5
2004334.8133.4
2003337.3132.5
2002336.1130.3
2001339.5134
2000334.6126.6
1999331.3124.8
1998332.7127.1
1997331.8124.2
1996329.9121.3
1995330.5120.9
1994327.9118.4
1993327.2113.8
1992322114.1
1991331.7120.9
1990334123.8
1989328.9120.5
1988327.5120.8
1987327.9118.8
1986329.2121.1
1985324.9115.7
1984325.8116.2
1983325.4115.5
1982324115.1
1981327119
1980323.1116.9
1979327.1117.7
1978324.2114.8
1977325.5117.2
1976321.7114
1975322.8114
1974322115.2
1973323.8114.7
1972322.4113.8
1971322114.1
1970322.2115.8
1969320.9114.3
1968319.8110
1967317.1109.8
1966318.4111
1965320111.5
1964314.7106.3
1963317.4107.5
1962324.1114.7
1961323.1116
1960325.5117.4
1959322.1115.6
1958322.4116.4
1957321.2114.6
1956321.2111.4
1955320.1115.2
1954325.6113.9
1953322.9113
1952319.4113.5
1951323.9113.5
1950317.8112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireMalawi
2015339.1321.9–350.7145.7126.7–164.3
2016339.9324.6–349.1139.8122.6–157.4
2017340.5322.4–349.6143.6127–161.8
2018341.6327.4–351.6143.1124.6–162.6
2019338.5323.6–350.3143.8128.3–161.4
2020340.6324.2–352.9145127.3–165.8
2021340.8325.2–353.8145.3128–163.6
2022344327.2–353.4151130.1–169.1
2023341.2327.2–352.6149.2129.5–171.2
2024344.9331–353.9152.4130–172.6
2025342.4327.8–352.1151.1129.7–170.4
2026342.3326.6–353.3151.1126.2–173.8
2027343.9325.6–352.9154.4135.1–173.1
2028347.4333.6–355.5155.5134.6–174
2029347.2332.4–355.2159.8139.2–178.5
2030347.2332.1–353.8155.6138.7–174.5
2031349.3333.1–357.2161.1143.4–177.6
2032347.8331.5–356.9160.8141.3–181.3
2033348332.6–360.4161.3135.6–179.2
2034346.6331.7–355.8160.9138.9–185
2035348.9333.7–357.8164.3140.4–189.5
2036350.5332.7–359.1163.8137.6–182.5
2037349.8334.6–357.5166.9144.6–189.2
2038351.3338.9–358.2172.2148.4–191.2
2039350.6333.1–358.9164.8147.3–188.2
2040351.1336.2–359.6164.4146.4–189.7
2041350.8335.9–358169.3143.7–192.5
2042349.8337.3–358.6169.8146.3–197.8
2043348.4336.1–357.8167.5147.1–193.2
2044350.3337.5–359.2172.6148.3–197
2045351339.5–359.5170.4153.1–194.7
2046351.7337.6–358.6176.3151.2–203.1
2047352335.4–360.1178.7157.8–200.9
2048351.6339.9–360.3180.7158.9–204.1
2049353339.6–360.9176.7154–205.4
2050352340.6–359.3180.4155.2–204.9
2051353340.5–360.5182.9162.1–207.4
2052352339–359.8184.9163.2–209.6
2053352.7339–360.5177.2149.6–207.4
2054354.7339.5–360.9185.1157.1–208
2055353.4343.4–360.8186.1159.2–212.6
2056355.9339.6–362.8184.6158.5–214.3
2057356.3343–362184.7159.3–212.3
2058354.3344.5–361.3188.5163.8–214.7
2059355343.4–361.7189.8166.9–218.5
2060354.6343.3–362.1192.6163.4–218.1
2061354.6341.3–362.5186.4158.8–216.8
2062354.4340.8–361.3192.3163.9–218.6
2063355.4345.2–362.1189.2165.2–220.3
2064356.1344.6–362.9197161.3–218
2065355.5346.4–362.4193.1165.8–225.2
2066355.2344.5–361.2201170.1–224.7
2067355.3341.4–361.8193.1164.2–223.7
2068357.3346.3–363.6198.6163.7–227.1
2069355344.3–362.7199.4165.8–225
2070355.6344.2–362.3198.7168–226.7
2071356.8344.7–362.9199.3167.9–233.5
2072357.7346.2–363.1202.3173.2–226.2
2073356.6345.2–362.2205.4168.2–233.4
2074354.4342.1–362.7198.2175.4–227.7
2075356343.7–362.5199.6168.9–228.3
2076357.4348.5–363.3198.8169.8–225.2
2077358.1347.7–362.8202172.2–231.2
2078357.3346.8–363.2203.5175.8–232.1
2079357.4346.6–363.6203.6172.2–236.1
2080359.1349.4–364.7204.7172.2–234.3
2081358.8347.5–363.5202.2174.9–231.3
2082357346.9–363.4204.3178.3–228.6
2083357.8349.5–363.1205.8170.7–238.3
2084358.8349.3–363.4208.1175.9–235.6
2085359.7350.1–364211.1179.4–241
2086359347.7–363.8203.3175.4–237
2087358.8348.8–364.1205.3181.2–237.7
2088358347.4–363.7211.6174.7–240.6
2089357.4347.3–363.5208.9180.5–237.8
2090358.8346.1–363.9209.4173.4–243
2091358.3349.1–363.3214.3179.7–244.8
2092359.2347.5–364213.2176.8–242.3
2093359349.8–363.8212.5177.8–242.2
2094359.3350.1–363.1211.8179.7–241.5
2095358.1349.7–364216.9185–243.8
2096358.8348.3–365.1213.1182–247.6
2097358.9342.5–362.5210.8174.9–242.1
2098357.8348.1–363.6214.4181.5–242.2
2099359.2349.5–363.2213.5181.9–244.1
2100359.6348.3–363.8213.3181.5–246.3

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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