Ghana vs Malawi

Ghana vs Malawi: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 218.7 nights, or 2.58 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Ghana vs Malawi: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 218.7 nights, or 2.58 times that in Malawi.
GhanaMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ghana at 364.2 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaMalawi
2014356.8138.1
2013355.8138.9
2012356.8137.4
2011355.7136.6
2010355.9132.4
2009353.2131.4
2008353.1130.8
2007353.8132.8
2006353.9129.8
2005352.7129.5
2004352.4133.4
2003353.8132.5
2002353.2130.3
2001354.9134
2000352.2126.6
1999350.2124.8
1998350.6127.1
1997350.5124.2
1996349.1121.3
1995348.9120.9
1994347.9118.4
1993347.1113.8
1992344.5114.1
1991348.4120.9
1990352.1123.8
1989347.9120.5
1988347.2120.8
1987346.6118.8
1986348.4121.1
1985347.2115.7
1984346.2116.2
1983344.8115.5
1982344.8115.1
1981346.8119
1980344.5116.9
1979346.4117.7
1978343.9114.8
1977345.9117.2
1976344.5114
1975345.3114
1974343115.2
1973344114.7
1972344.4113.8
1971342.7114.1
1970344115.8
1969342.5114.3
1968342110
1967342.7109.8
1966342.1111
1965342111.5
1964340106.3
1963342.8107.5
1962345.9114.7
1961344.1116
1960345.7117.4
1959344.6115.6
1958344.6116.4
1957344.1114.6
1956343.5111.4
1955342.5115.2
1954346.8113.9
1953344.5113
1952341.9113.5
1951343.8113.5
1950340.3112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaMalawi
2015356341.5–361.7145.7126.7–164.3
2016356.5341.4–361.5139.8122.6–157.4
2017355.2341.3–361.6143.6127–161.8
2018355.8345.7–362.1143.1124.6–162.6
2019353.9343.6–362.3143.8128.3–161.4
2020356341.7–362.9145127.3–165.8
2021356.9345.4–362.7145.3128–163.6
2022358.2342–362.6151130.1–169.1
2023356.7344–361.7149.2129.5–171.2
2024358.6347.7–363.4152.4130–172.6
2025357.1347.2–361.9151.1129.7–170.4
2026357.2343.5–362.7151.1126.2–173.8
2027357.5344.3–362.4154.4135.1–173.1
2028359.5348.6–363.6155.5134.6–174
2029358.8349–363.1159.8139.2–178.5
2030359.6350.6–363.2155.6138.7–174.5
2031360.8351–364161.1143.4–177.6
2032359.7346.4–363.9160.8141.3–181.3
2033360.2349–364.1161.3135.6–179.2
2034359.4350.8–363.1160.9138.9–185
2035360.5350.8–364164.3140.4–189.5
2036360.9350.6–364.9163.8137.6–182.5
2037361350.5–364166.9144.6–189.2
2038361.4354.4–363.9172.2148.4–191.2
2039361.3352.3–364.5164.8147.3–188.2
2040361.5352.2–365.2164.4146.4–189.7
2041361.3351.7–364.3169.3143.7–192.5
2042360.6352.3–364.3169.8146.3–197.8
2043360.6351.8–364167.5147.1–193.2
2044361.6353.6–364.8172.6148.3–197
2045361.1353.2–364.4170.4153.1–194.7
2046361.9353.1–364.1176.3151.2–203.1
2047362.3350.3–364.5178.7157.8–200.9
2048362.1354.7–365.3180.7158.9–204.1
2049362.6354–364.4176.7154–205.4
2050362.2355.3–364.4180.4155.2–204.9
2051362.3355.7–364.6182.9162.1–207.4
2052362.1354.2–365184.9163.2–209.6
2053362.4354.1–364.5177.2149.6–207.4
2054362.9354.8–364.6185.1157.1–208
2055362.5355.1–364.5186.1159.2–212.6
2056363.3355.6–365.7184.6158.5–214.3
2057363.2355.9–364.8184.7159.3–212.3
2058363356.3–364.9188.5163.8–214.7
2059362.9356.2–364.8189.8166.9–218.5
2060362.9354.1–365.7192.6163.4–218.1
2061363.2354–364.9186.4158.8–216.8
2062363.1355–364.9192.3163.9–218.6
2063363.2355.5–364.9189.2165.2–220.3
2064363.3356.6–365.6197161.3–218
2065363.7357.8–364.9193.1165.8–225.2
2066362.7356.9–364.8201170.1–224.7
2067363.6354.1–364.9193.1164.2–223.7
2068364.1356.3–365.8198.6163.7–227.1
2069362.8356.3–364.9199.4165.8–225
2070363.3356.2–364.9198.7168–226.7
2071363.5355.3–364.9199.3167.9–233.5
2072364.1355.6–365.8202.3173.2–226.2
2073363.6355.1–364.8205.4168.2–233.4
2074363.4355.4–364.8198.2175.4–227.7
2075363.4357–364.9199.6168.9–228.3
2076363.8358.4–365.8198.8169.8–225.2
2077363.8357.8–365202172.2–231.2
2078363.9356.6–364.9203.5175.8–232.1
2079364.2358–365203.6172.2–236.1
2080364.3357.8–366204.7172.2–234.3
2081363.8357.1–365202.2174.9–231.3
2082363.5357.1–364.9204.3178.3–228.6
2083364.1358.3–365205.8170.7–238.3
2084364358.5–365.9208.1175.9–235.6
2085364.1358.3–365211.1179.4–241
2086364.1357.8–365203.3175.4–237
2087364.1357.9–365205.3181.2–237.7
2088364.2356.4–365.9211.6174.7–240.6
2089363.9357.6–365208.9180.5–237.8
2090364.2357.6–365209.4173.4–243
2091363.9357.6–364.9214.3179.7–244.8
2092364.4356.6–366213.2176.8–242.3
2093364.4358.2–365212.5177.8–242.2
2094364.1357.9–365211.8179.7–241.5
2095364358.2–365216.9185–243.8
2096363.9358–366213.1182–247.6
2097363.9356.3–364.9210.8174.9–242.1
2098363.7357.8–364.9214.4181.5–242.2
2099363.9358.6–365213.5181.9–244.1
2100364.2357.6–365213.3181.5–246.3

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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