Chad vs Malawi

Chad vs Malawi: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 99.5 nights, or 1.72 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Chad vs Malawi: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 99.5 nights, or 1.72 times that in Malawi.
ChadMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Chad has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Chad at 273.4 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadMalawi
2014237.6138.1
2013231.8138.9
2012237.9137.4
2011236.2136.6
2010234.8132.4
2009231.5131.4
2008230.8130.8
2007229.6132.8
2006229.5129.8
2005228.8129.5
2004228133.4
2003230.9132.5
2002229.8130.3
2001230.2134
2000226.4126.6
1999225.1124.8
1998222.9127.1
1997226.3124.2
1996222.4121.3
1995222.3120.9
1994221.4118.4
1993215.6113.8
1992214.4114.1
1991223120.9
1990222.8123.8
1989220120.5
1988219.9120.8
1987218.4118.8
1986222.6121.1
1985218115.7
1984216.1116.2
1983213.7115.5
1982214.8115.1
1981218.1119
1980215116.9
1979214.5117.7
1978216114.8
1977216.2117.2
1976215.7114
1975212.2114
1974213.8115.2
1973216.9114.7
1972215.2113.8
1971212.6114.1
1970214.3115.8
1969210.3114.3
1968212.8110
1967209.1109.8
1966210.8111
1965210.3111.5
1964210.6106.3
1963207.5107.5
1962214.7114.7
1961212.3116
1960217.3117.4
1959212.5115.6
1958213.8116.4
1957214114.6
1956213.4111.4
1955213.8115.2
1954214.3113.9
1953211.3113
1952213.1113.5
1951213.8113.5
1950213.1112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadMalawi
2015235.8215.6–253.1145.7126.7–164.3
2016233.3212.8–247.7139.8122.6–157.4
2017237.6218.6–253.1143.6127–161.8
2018235.8217.8–254.4143.1124.6–162.6
2019235.2213.3–255.6143.8128.3–161.4
2020237217.1–255145127.3–165.8
2021239.6220–258.2145.3128–163.6
2022240.4223.1–258.2151130.1–169.1
2023239.1216.7–256.4149.2129.5–171.2
2024246.7227.6–261.2152.4130–172.6
2025243.2223.9–259.4151.1129.7–170.4
2026242.9220.8–260.9151.1126.2–173.8
2027242.3221.2–258.6154.4135.1–173.1
2028242.7225.4–259.7155.5134.6–174
2029246.3227.2–264.1159.8139.2–178.5
2030244.7225.8–261.1155.6138.7–174.5
2031246.8224.7–264.8161.1143.4–177.6
2032244.3226.5–260.2160.8141.3–181.3
2033247.6228.7–266.1161.3135.6–179.2
2034247.8224.9–263.9160.9138.9–185
2035250.9230.3–268.9164.3140.4–189.5
2036246.7226.3–264.1163.8137.6–182.5
2037249.9230.3–266.2166.9144.6–189.2
2038252.4233.4–268.7172.2148.4–191.2
2039250230.8–267.5164.8147.3–188.2
2040248.9227–266.8164.4146.4–189.7
2041252230–270.9169.3143.7–192.5
2042250.4232–271.8169.8146.3–197.8
2043251.1232–265.5167.5147.1–193.2
2044251.4230.2–271.3172.6148.3–197
2045252.3230.8–270.2170.4153.1–194.7
2046253.6231.9–272.3176.3151.2–203.1
2047254.6236.7–274.4178.7157.8–200.9
2048254.4236.6–273.6180.7158.9–204.1
2049256235.4–272176.7154–205.4
2050255.9234.4–276.1180.4155.2–204.9
2051256.1237.8–275.9182.9162.1–207.4
2052258.3237.1–273.9184.9163.2–209.6
2053255.9234.9–275177.2149.6–207.4
2054260.6233–279.6185.1157.1–208
2055259.9239.1–276.6186.1159.2–212.6
2056259.4233.3–279184.6158.5–214.3
2057262.5240.8–278.4184.7159.3–212.3
2058259.3239.2–275.5188.5163.8–214.7
2059263.7240.5–282.9189.8166.9–218.5
2060259.3239.3–280192.6163.4–218.1
2061261.1240.7–281.2186.4158.8–216.8
2062261.4238.1–281.4192.3163.9–218.6
2063263.4239.6–278.6189.2165.2–220.3
2064263.9244.3–283.2197161.3–218
2065263.7247.7–283.1193.1165.8–225.2
2066265.2245.7–285.6201170.1–224.7
2067262.5242.8–283.8193.1164.2–223.7
2068266.8241.4–286.3198.6163.7–227.1
2069262.7242.8–283.1199.4165.8–225
2070264.9243.5–284.9198.7168–226.7
2071267.9248.5–286199.3167.9–233.5
2072269.2246.8–285.6202.3173.2–226.2
2073263.7241.6–284.2205.4168.2–233.4
2074264239.7–285.1198.2175.4–227.7
2075266.5246.7–287199.6168.9–228.3
2076267.8245.8–285.7198.8169.8–225.2
2077269.5247.1–290.8202172.2–231.2
2078268.6247.9–286.4203.5175.8–232.1
2079266.4247.9–286.3203.6172.2–236.1
2080269.4249.6–289.4204.7172.2–234.3
2081267.4247.1–291.8202.2174.9–231.3
2082266.7249.2–286.8204.3178.3–228.6
2083269.8248.9–287.6205.8170.7–238.3
2084268.4243.4–289.7208.1175.9–235.6
2085270.8251.2–287.4211.1179.4–241
2086270.6249.6–291.5203.3175.4–237
2087266.3246.2–289.2205.3181.2–237.7
2088269.2245.6–290.7211.6174.7–240.6
2089270.4251.1–289208.9180.5–237.8
2090270.9245.5–291.1209.4173.4–243
2091271.3246.1–293.5214.3179.7–244.8
2092270.6248.3–291.9213.2176.8–242.3
2093272.4254.3–289.2212.5177.8–242.2
2094274254.8–290.2211.8179.7–241.5
2095273.5251.8–291.6216.9185–243.8
2096273.9252.1–292.5213.1182–247.6
2097270.8246–292.1210.8174.9–242.1
2098271.1248.3–290.6214.4181.5–242.2
2099271.8250.5–291.1213.5181.9–244.1
2100273.4254–291.9213.3181.5–246.3

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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