Ethiopia vs Malawi

Ethiopia vs Malawi: Tropical nights

Tropical nights in 2014: 144.9 nights in Ethiopia and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 6.8 nights, or 1.05 times that in Malawi.

nights a year · CMIP6

Ethiopia vs Malawi: Tropical nightsTropical nights in 2014: 144.9 nights in Ethiopia and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ethiopia, by 6.8 nights, or 1.05 times that in Malawi.
EthiopiaMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ethiopia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ethiopia at 201.7 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearEthiopiaMalawi
2014144.9138.1
2013145.1138.9
2012144.4137.4
2011145.6136.6
2010142.4132.4
2009140.3131.4
2008137.1130.8
2007138.2132.8
2006138.7129.8
2005138.1129.5
2004139.1133.4
2003138.8132.5
2002137.4130.3
2001139.2134
2000135.5126.6
1999132.6124.8
1998132.9127.1
1997132.7124.2
1996129.7121.3
1995127.8120.9
1994126.3118.4
1993122.5113.8
1992119.7114.1
1991129.5120.9
1990132.7123.8
1989129.4120.5
1988128.2120.8
1987126.4118.8
1986128.1121.1
1985122.8115.7
1984124.8116.2
1983120.6115.5
1982126.3115.1
1981127119
1980124.9116.9
1979125.1117.7
1978124.7114.8
1977125.8117.2
1976122114
1975119.5114
1974124115.2
1973125.2114.7
1972122.3113.8
1971120.6114.1
1970121.3115.8
1969120.4114.3
1968119.1110
1967118.1109.8
1966119.5111
1965117.4111.5
1964116.6106.3
1963115.7107.5
1962121.6114.7
1961124.2116
1960124.5117.4
1959121.6115.6
1958124.1116.4
1957123.2114.6
1956120.9111.4
1955122.8115.2
1954121.6113.9
1953121.2113
1952122.8113.5
1951123113.5
1950122112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaMalawi
2015146.6129.4–163.9145.7126.7–164.3
2016144.1127–160.6139.8122.6–157.4
2017148.3129.2–164.9143.6127–161.8
2018149.6131.6–166143.1124.6–162.6
2019146.2129.3–166143.8128.3–161.4
2020149.4129.6–168.5145127.3–165.8
2021150.7132.1–170145.3128–163.6
2022154135.7–171.2151130.1–169.1
2023153.5135.4–171.4149.2129.5–171.2
2024156.5135.9–175.6152.4130–172.6
2025154132.6–175.5151.1129.7–170.4
2026153132–175151.1126.2–173.8
2027154.2134.4–175.3154.4135.1–173.1
2028157.5138.3–177.4155.5134.6–174
2029159.2141.8–176.8159.8139.2–178.5
2030156.8136.3–175.7155.6138.7–174.5
2031161.4142.4–179.1161.1143.4–177.6
2032161.7143.1–182.5160.8141.3–181.3
2033161.8140–180.9161.3135.6–179.2
2034158.8141.5–184.3160.9138.9–185
2035162141.7–184.2164.3140.4–189.5
2036160.5143.6–179.4163.8137.6–182.5
2037165145.8–184.5166.9144.6–189.2
2038167.1146.5–186.7172.2148.4–191.2
2039164.5143.9–186164.8147.3–188.2
2040165.9146.2–190.1164.4146.4–189.7
2041167.9146.3–189.3169.3143.7–192.5
2042167.7146–194.3169.8146.3–197.8
2043167.3145.5–190.8167.5147.1–193.2
2044168.2148.2–189.9172.6148.3–197
2045170.7149.1–192.3170.4153.1–194.7
2046175.3150–198.6176.3151.2–203.1
2047176.9151.8–197.5178.7157.8–200.9
2048177.5155.4–199.1180.7158.9–204.1
2049177.5157.9–198.4176.7154–205.4
2050176.4153.8–199180.4155.2–204.9
2051176.6155.3–199.7182.9162.1–207.4
2052177155.6–200.7184.9163.2–209.6
2053176.7154.2–201.6177.2149.6–207.4
2054177.6156.9–201.1185.1157.1–208
2055180.6155.2–202.3186.1159.2–212.6
2056177.3155–205.4184.6158.5–214.3
2057180.3159.3–205.5184.7159.3–212.3
2058182.6153.7–209.4188.5163.8–214.7
2059185.7160.1–210.6189.8166.9–218.5
2060185.9160.3–210.4192.6163.4–218.1
2061183.3158.3–211.7186.4158.8–216.8
2062183.8155.4–213192.3163.9–218.6
2063184.5159.1–208.6189.2165.2–220.3
2064186.7160.6–207.2197161.3–218
2065183.7162.4–212.9193.1165.8–225.2
2066187.1165.4–210.1201170.1–224.7
2067187.1160.7–214.5193.1164.2–223.7
2068187.6160.4–215.8198.6163.7–227.1
2069187.8165.4–215.8199.4165.8–225
2070187.9161.6–216.9198.7168–226.7
2071192.7165.2–219.5199.3167.9–233.5
2072193.6167.4–214.5202.3173.2–226.2
2073193.3169.7–218.7205.4168.2–233.4
2074188.5163.9–219198.2175.4–227.7
2075191.9162.7–218.6199.6168.9–228.3
2076195166.9–218.9198.8169.8–225.2
2077194.1169.3–223.3202172.2–231.2
2078192.1168.4–218.6203.5175.8–232.1
2079193.4166.6–220.9203.6172.2–236.1
2080196.1169.2–222.4204.7172.2–234.3
2081194.6171–221.4202.2174.9–231.3
2082195.4168.8–219.9204.3178.3–228.6
2083194.6168.2–228.7205.8170.7–238.3
2084198.5170.7–224.2208.1175.9–235.6
2085198.4173.1–226.3211.1179.4–241
2086198.6172.3–228.4203.3175.4–237
2087199170.6–226.6205.3181.2–237.7
2088199170.7–227.7211.6174.7–240.6
2089198.6171.2–226.2208.9180.5–237.8
2090198.6173.4–227.7209.4173.4–243
2091203.6171.9–232.1214.3179.7–244.8
2092200.7172.5–229.7213.2176.8–242.3
2093201.4175.2–228.6212.5177.8–242.2
2094200.2174–228.9211.8179.7–241.5
2095203.9175.7–231.9216.9185–243.8
2096199.1170.5–230.8213.1182–247.6
2097198.4171.8–229.3210.8174.9–242.1
2098198.7172.1–231.5214.4181.5–242.2
2099201.8172.8–233.3213.5181.9–244.1
2100201.7175.1–231.8213.3181.5–246.3

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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