Chad vs Madagascar

Chad vs Madagascar: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 99.3 nights, or 1.72 times that in Madagascar.

Watch it change on the map

nights a year · CMIP6

Chad vs Madagascar: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 99.3 nights, or 1.72 times that in Madagascar.
ChadMadagascarCMIP6 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 Madagascar at 198.5 nights in 2100.

Every year

nights a year · CMIP6

YearChadMadagascar
2014237.6138.3
2013231.8138
2012237.9138.3
2011236.2136.8
2010234.8134.2
2009231.5133.5
2008230.8132.3
2007229.6133.1
2006229.5131.6
2005228.8130.3
2004228133.5
2003230.9131
2002229.8131.8
2001230.2131.7
2000226.4127.4
1999225.1128.4
1998222.9128.6
1997226.3125.3
1996222.4121.8
1995222.3123.3
1994221.4121.8
1993215.6116
1992214.4116.6
1991223124.9
1990222.8126.2
1989220124
1988219.9123.8
1987218.4122.8
1986222.6123.8
1985218120
1984216.1118.6
1983213.7116.5
1982214.8121.8
1981218.1122.1
1980215120.3
1979214.5120.7
1978216119.3
1977216.2119
1976215.7117.4
1975212.2116.5
1974213.8119.5
1973216.9119
1972215.2117
1971212.6116.3
1970214.3117
1969210.3116.3
1968212.8113.1
1967209.1113
1966210.8114.1
1965210.3112.2
1964210.6109.6
1963207.5109.7
1962214.7115.3
1961212.3118.5
1960217.3118.2
1959212.5119
1958213.8118.7
1957214117.6
1956213.4115.5
1955213.8116.6
1954214.3115.9
1953211.3116.4
1952213.1117.4
1951213.8116
1950213.1116.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadMadagascar
2015235.8215.6–253.1142.8126.7–159.3
2016233.3212.8–247.7137.8122.2–156
2017237.6218.6–253.1143.1125.6–159.4
2018235.8217.8–254.4143.7125.9–160.3
2019235.2213.3–255.6143.4124.4–162.3
2020237217.1–255143.4125.2–159
2021239.6220–258.2145.4128.8–160.4
2022240.4223.1–258.2150.4133.4–165.2
2023239.1216.7–256.4149.7132.1–166
2024246.7227.6–261.2150.7131.4–167.9
2025243.2223.9–259.4149128.8–169.1
2026242.9220.8–260.9150.1127.4–169.9
2027242.3221.2–258.6151.8131.9–170.8
2028242.7225.4–259.7154.9137.7–173.1
2029246.3227.2–264.1155.7135.2–173.8
2030244.7225.8–261.1154.8136.4–171.3
2031246.8224.7–264.8158.1141.3–174.8
2032244.3226.5–260.2157.9136.2–178.4
2033247.6228.7–266.1158.9136.7–177.8
2034247.8224.9–263.9158.6140.6–179.6
2035250.9230.3–268.9161.1140.2–181.6
2036246.7226.3–264.1159.5139.4–177.1
2037249.9230.3–266.2165.8144.7–182.8
2038252.4233.4–268.7166.5149.3–183.9
2039250230.8–267.5164.1145.1–183.9
2040248.9227–266.8162.8144.5–184.8
2041252230–270.9165.8143.5–183.9
2042250.4232–271.8165.1144.3–188.4
2043251.1232–265.5165.6148.5–184.7
2044251.4230.2–271.3167.3145.8–187
2045252.3230.8–270.2166.9147.1–187.1
2046253.6231.9–272.3171.4149.6–193
2047254.6236.7–274.4171.7148.8–193.4
2048254.4236.6–273.6173.7151.7–193.6
2049256235.4–272172.2151.4–192.9
2050255.9234.4–276.1174.4150.5–193.6
2051256.1237.8–275.9175154.3–195.1
2052258.3237.1–273.9176153.8–196.7
2053255.9234.9–275176.6151.1–197.8
2054260.6233–279.6175.5152.8–199.2
2055259.9239.1–276.6179.2157.3–196.8
2056259.4233.3–279178.8156.5–199.7
2057262.5240.8–278.4177.7155.5–201
2058259.3239.2–275.5180.5158.9–202.4
2059263.7240.5–282.9181.8158.3–202.5
2060259.3239.3–280185.1159.5–207.8
2061261.1240.7–281.2180.6157.6–203.8
2062261.4238.1–281.4180.6157.1–205.6
2063263.4239.6–278.6185156.8–210.7
2064263.9244.3–283.2184.7159.1–205.7
2065263.7247.7–283.1183.8157.1–208.5
2066265.2245.7–285.6187.3159.6–211
2067262.5242.8–283.8184.9155.9–208.9
2068266.8241.4–286.3187.5161.7–211.1
2069262.7242.8–283.1187.5162–211.3
2070264.9243.5–284.9187.8160.4–213.6
2071267.9248.5–286190.7162.7–216.6
2072269.2246.8–285.6191.8168.2–215.8
2073263.7241.6–284.2191.4168.7–214.5
2074264239.7–285.1189.4162.6–217.7
2075266.5246.7–287189.3163.8–214.2
2076267.8245.8–285.7191.1164.3–214
2077269.5247.1–290.8191.9168.8–217.1
2078268.6247.9–286.4190.1166.5–219.3
2079266.4247.9–286.3190.1163.7–216.2
2080269.4249.6–289.4194.8167.7–219.4
2081267.4247.1–291.8191.7166.7–218.1
2082266.7249.2–286.8193.8169.2–216.7
2083269.8248.9–287.6194.6166.1–218.1
2084268.4243.4–289.7197.9170–219.7
2085270.8251.2–287.4197.8172.3–223.7
2086270.6249.6–291.5192.9169.6–220
2087266.3246.2–289.2195.2170.4–220.1
2088269.2245.6–290.7198.1165.1–225.5
2089270.4251.1–289196.3167.9–227.6
2090270.9245.5–291.1197.5172.4–228.1
2091271.3246.1–293.5199.2172.7–226.7
2092270.6248.3–291.9202.4170.7–226.6
2093272.4254.3–289.2202.1172.3–230.5
2094274254.8–290.2198.3168.6–224
2095273.5251.8–291.6200.7171.7–225.1
2096273.9252.1–292.5199.8173.6–226.3
2097270.8246–292.1201.2170–227.6
2098271.1248.3–290.6201.1170.7–227.2
2099271.8250.5–291.1198.3173.8–225.8
2100273.4254–291.9198.5173.3–227.7

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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