Chad vs Libya

Chad vs Libya: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 138.1 nights in Libya, 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 Libya.

Watch it change on the map

nights a year · CMIP6

Chad vs Libya: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 138.1 nights in Libya, 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 Libya.
ChadLibyaCMIP6 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 Libya at 172.3 nights in 2100.

Every year

nights a year · CMIP6

YearChadLibya
2014237.6138.1
2013231.8137.8
2012237.9138.4
2011236.2139.2
2010234.8136.9
2009231.5134.6
2008230.8137.9
2007229.6134.2
2006229.5134.3
2005228.8135.4
2004228134.1
2003230.9134.3
2002229.8133.8
2001230.2131.4
2000226.4128.8
1999225.1126.8
1998222.9126
1997226.3126.7
1996222.4124.7
1995222.3123.8
1994221.4122
1993215.6117.9
1992214.4118.6
1991223125.4
1990222.8123.4
1989220119.5
1988219.9116.9
1987218.4116.8
1986222.6123.6
1985218117.9
1984216.1113.4
1983213.7112.8
1982214.8114
1981218.1117
1980215118.8
1979214.5112
1978216116.9
1977216.2112.2
1976215.7116.5
1975212.2113.1
1974213.8112.4
1973216.9116.2
1972215.2114.6
1971212.6111.4
1970214.3112.2
1969210.3108.3
1968212.8111.9
1967209.1111.4
1966210.8109.5
1965210.3105.7
1964210.6108.6
1963207.5112.3
1962214.7111.9
1961212.3110.5
1960217.3116.6
1959212.5113.5
1958213.8113.6
1957214114.9
1956213.4113.3
1955213.8112.5
1954214.3110.9
1953211.3113.6
1952213.1111.6
1951213.8111.5
1950213.1109.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadLibya
2015235.8215.6–253.1140.5122.7–155
2016233.3212.8–247.7140.8126.8–152.9
2017237.6218.6–253.1146128.5–159.7
2018235.8217.8–254.4140.6121.8–159.1
2019235.2213.3–255.6144.3121.2–156.8
2020237217.1–255143.7126.3–158.3
2021239.6220–258.2144.7131.1–159
2022240.4223.1–258.2146.2129.6–163.7
2023239.1216.7–256.4144.7131.2–158.3
2024246.7227.6–261.2148.8135.3–162.1
2025243.2223.9–259.4148131.8–160.5
2026242.9220.8–260.9148.9135.9–160.7
2027242.3221.2–258.6146.2129.7–158.7
2028242.7225.4–259.7146133.3–161.9
2029246.3227.2–264.1148.6134.1–161.5
2030244.7225.8–261.1148.3131.9–159.9
2031246.8224.7–264.8149132.5–165.3
2032244.3226.5–260.2151.7137.6–165
2033247.6228.7–266.1152.7134.7–163.5
2034247.8224.9–263.9152.1136.4–166.8
2035250.9230.3–268.9153.3136.3–168.5
2036246.7226.3–264.1148.9135.3–162.7
2037249.9230.3–266.2150.2136.1–164.4
2038252.4233.4–268.7153.9139.1–169.1
2039250230.8–267.5154.2134.7–172.2
2040248.9227–266.8155.4140.4–168.6
2041252230–270.9154.4138.9–167.4
2042250.4232–271.8158.8139–173.8
2043251.1232–265.5156143.6–167.9
2044251.4230.2–271.3153.3138.2–169.2
2045252.3230.8–270.2157.6140–169.7
2046253.6231.9–272.3157139.9–170.8
2047254.6236.7–274.4157.1142.6–171.9
2048254.4236.6–273.6156.8144.9–168.2
2049256235.4–272156.4141.9–171.2
2050255.9234.4–276.1160.2144.6–172.3
2051256.1237.8–275.9156.9142.4–172.3
2052258.3237.1–273.9160.6147.6–173.2
2053255.9234.9–275160.4145.8–172.2
2054260.6233–279.6160143.6–176.2
2055259.9239.1–276.6161.7149–173.4
2056259.4233.3–279157.7140.4–173.6
2057262.5240.8–278.4158.9142.3–177.5
2058259.3239.2–275.5161.7145.2–179.2
2059263.7240.5–282.9165.2147.4–180.9
2060259.3239.3–280162.5143.4–179.2
2061261.1240.7–281.2162.8147.1–178.6
2062261.4238.1–281.4163.6147.2–177.4
2063263.4239.6–278.6158.9144–174.4
2064263.9244.3–283.2164.6146.1–179
2065263.7247.7–283.1164.6149.1–179
2066265.2245.7–285.6162.6144.6–179.3
2067262.5242.8–283.8168152–179.9
2068266.8241.4–286.3167.1148–184.3
2069262.7242.8–283.1167.1149.7–182.7
2070264.9243.5–284.9164.8147.9–184.1
2071267.9248.5–286166.9147.5–183.3
2072269.2246.8–285.6171.2152.9–181.9
2073263.7241.6–284.2165.5148.3–180.1
2074264239.7–285.1163.1144.5–182
2075266.5246.7–287164.5148.4–182.4
2076267.8245.8–285.7169.6149.7–184.9
2077269.5247.1–290.8171.2149.1–183.6
2078268.6247.9–286.4171.6153.1–183.2
2079266.4247.9–286.3168.4149.8–182.8
2080269.4249.6–289.4169.4152.6–183
2081267.4247.1–291.8166.3147.4–180.8
2082266.7249.2–286.8168.9153.2–184.9
2083269.8248.9–287.6166.9151.7–186.5
2084268.4243.4–289.7172.9151.6–186.4
2085270.8251.2–287.4168.7152.1–183.4
2086270.6249.6–291.5173.7157.5–188.1
2087266.3246.2–289.2167.7145–184.9
2088269.2245.6–290.7169.8153–188.3
2089270.4251.1–289169.4154–188.9
2090270.9245.5–291.1169.3149.9–188.3
2091271.3246.1–293.5172.9156.2–187.9
2092270.6248.3–291.9172.2154.1–186
2093272.4254.3–289.2171.8154.8–187.9
2094274254.8–290.2172.8157.2–185.2
2095273.5251.8–291.6170.8155.1–186.2
2096273.9252.1–292.5170.1156.2–189.7
2097270.8246–292.1169.4154.6–183.2
2098271.1248.3–290.6169.8151.1–185.7
2099271.8250.5–291.1169.3156.5–188.9
2100273.4254–291.9172.3153.7–190.8

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

Chad vs Libya

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment