Malawi vs Senegal

Malawi vs Senegal: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 164 nights, or 2.19 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Malawi vs Senegal: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Senegal, by 164 nights, or 2.19 times that in Malawi.
MalawiSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Senegal has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malawi at 213.3 nights and Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiSenegal
2014138.1302.1
2013138.9300.9
2012137.4304.1
2011136.6302.1
2010132.4301.5
2009131.4302.1
2008130.8298.3
2007132.8298.5
2006129.8298.6
2005129.5298.1
2004133.4294.7
2003132.5296.1
2002130.3296
2001134298.9
2000126.6295
1999124.8293.2
1998127.1292.5
1997124.2288.5
1996121.3285.1
1995120.9285.9
1994118.4283.7
1993113.8282
1992114.1277.6
1991120.9286.7
1990123.8292.5
1989120.5282.1
1988120.8282.4
1987118.8281.8
1986121.1283
1985115.7278.1
1984116.2274.6
1983115.5276.3
1982115.1281.3
1981119277.9
1980116.9277.6
1979117.7281
1978114.8280.7
1977117.2278
1976114274.4
1975114278.4
1974115.2273.8
1973114.7274.5
1972113.8273.5
1971114.1273.4
1970115.8271.3
1969114.3271.6
1968110272.6
1967109.8275.4
1966111273.3
1965111.5272.8
1964106.3271.8
1963107.5272.8
1962114.7280.2
1961116276.9
1960117.4279.2
1959115.6277.4
1958116.4278.8
1957114.6274.4
1956111.4273.2
1955115.2273.4
1954113.9275
1953113271.7
1952113.5271
1951113.5272.9
1950112.8270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiSenegal
2015145.7126.7–164.3298.9275.9–321
2016139.8122.6–157.4302.7276.5–319
2017143.6127–161.8302.9285.4–318.6
2018143.1124.6–162.6305.6289.2–321.5
2019143.8128.3–161.4307.6280.6–328.1
2020145127.3–165.8305.2276.2–322.9
2021145.3128–163.6307.6286–325.6
2022151130.1–169.1312.9289.6–334.3
2023149.2129.5–171.2307.5292.2–328.6
2024152.4130–172.6313.2294.6–326.9
2025151.1129.7–170.4311.8289–329.4
2026151.1126.2–173.8308.3285.2–328.6
2027154.4135.1–173.1310.7287.8–330
2028155.5134.6–174316.3289.2–331.6
2029159.8139.2–178.5315.7291.2–334.2
2030155.6138.7–174.5311.5289.1–329.1
2031161.1143.4–177.6318.8296.3–335
2032160.8141.3–181.3316295.7–332.4
2033161.3135.6–179.2316.7289.6–336.4
2034160.9138.9–185315.4291.6–335.1
2035164.3140.4–189.5316.8291.1–335.3
2036163.8137.6–182.5320.8298.5–335.3
2037166.9144.6–189.2324.5303.1–337.7
2038172.2148.4–191.2323.5304.2–339.7
2039164.8147.3–188.2323.3300.9–337
2040164.4146.4–189.7322.4298.9–339.5
2041169.3143.7–192.5320.2300.1–343.6
2042169.8146.3–197.8320302.1–339.9
2043167.5147.1–193.2320.4303.7–340.4
2044172.6148.3–197326.9301.5–340.9
2045170.4153.1–194.7324.1304.1–340
2046176.3151.2–203.1325.9304.7–340.6
2047178.7157.8–200.9329301.4–347
2048180.7158.9–204.1331.1314.3–344.8
2049176.7154–205.4331.3308.3–343.7
2050180.4155.2–204.9327.6306.5–341.9
2051182.9162.1–207.4328307.1–344
2052184.9163.2–209.6325.4308.1–344.2
2053177.2149.6–207.4331.8304.9–347.2
2054185.1157.1–208330.1310.8–345.2
2055186.1159.2–212.6330.1305.5–344
2056184.6158.5–214.3331.4307.4–349.8
2057184.7159.3–212.3337306.4–351.5
2058188.5163.8–214.7333313.2–350.2
2059189.8166.9–218.5334315.6–353.5
2060192.6163.4–218.1334.5316.4–351.1
2061186.4158.8–216.8333.7307.5–352.9
2062192.3163.9–218.6333.3312.4–350.2
2063189.2165.2–220.3335.4313.2–352.8
2064197161.3–218335.4307.1–351.1
2065193.1165.8–225.2334.8314.1–352.8
2066201170.1–224.7337.3312.9–351
2067193.1164.2–223.7335.5309.9–349.9
2068198.6163.7–227.1335.5313.5–354
2069199.4165.8–225336.1316.9–351.8
2070198.7168–226.7333.3312.9–352.9
2071199.3167.9–233.5335.7321.1–351.9
2072202.3173.2–226.2342.3321–354.6
2073205.4168.2–233.4339.4320.1–356.1
2074198.2175.4–227.7335.9317.1–351.8
2075199.6168.9–228.3338.4320.7–354.1
2076198.8169.8–225.2338.7321.9–352
2077202172.2–231.2342.8314.8–357.3
2078203.5175.8–232.1343325.8–355.4
2079203.6172.2–236.1341.2322.3–357.6
2080204.7172.2–234.3340.9317.7–358.1
2081202.2174.9–231.3339.8315.5–357.1
2082204.3178.3–228.6341.6316.4–354.9
2083205.8170.7–238.3340.8324.8–356.9
2084208.1175.9–235.6340.4322.8–354.9
2085211.1179.4–241346.8325.6–357
2086203.3175.4–237341.7324.4–357.6
2087205.3181.2–237.7343.9325.9–357.7
2088211.6174.7–240.6341.5321.6–358.2
2089208.9180.5–237.8343.2324.3–355.2
2090209.4173.4–243342320.6–356
2091214.3179.7–244.8341.7319.8–356.4
2092213.2176.8–242.3339.7318.4–357.7
2093212.5177.8–242.2345326.8–356.4
2094211.8179.7–241.5344.4324.3–357.6
2095216.9185–243.8346.3320.6–359.4
2096213.1182–247.6344.4323.1–359.2
2097210.8174.9–242.1341.4321.3–353.8
2098214.4181.5–242.2345322.3–357
2099213.5181.9–244.1344.6322.7–357.5
2100213.3181.5–246.3347.3323.6–359.2

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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