Libya vs Tunisia

Libya vs Tunisia: Tropical nights

Tropical nights in 2014: 138.1 nights in Libya and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Libya, by 27.6 nights, or 1.25 times that in Tunisia.

nights a year · CMIP6

Libya vs Tunisia: Tropical nightsTropical nights in 2014: 138.1 nights in Libya and 110.5 nights in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Libya, by 27.6 nights, or 1.25 times that in Tunisia.
LibyaTunisiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Libya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Libya at 172.3 nights and Tunisia at 143.8 nights in 2100.

Every year

nights a year · CMIP6

YearLibyaTunisia
2014138.1110.5
2013137.8110.7
2012138.4110
2011139.2108.9
2010136.9109.6
2009134.6106.1
2008137.9108.6
2007134.2106.6
2006134.3107.6
2005135.4105.6
2004134.1105
2003134.3105.5
2002133.8103.8
2001131.4101.8
2000128.8104.5
1999126.8100.1
1998126100.1
1997126.7100.1
1996124.799.1
1995123.895.9
199412295
1993117.991.3
1992118.689.9
1991125.498.2
1990123.498.6
1989119.594.7
1988116.994.2
1987116.892.7
1986123.693.7
1985117.990.6
1984113.491.8
1983112.890
198211493.9
198111793.3
1980118.892.5
197911293.8
1978116.990.2
1977112.288.3
1976116.590.5
1975113.188.6
1974112.488.3
1973116.290.5
1972114.691
1971111.488.8
1970112.287.3
1969108.390.1
1968111.988.9
1967111.487.6
1966109.587.5
1965105.784.5
1964108.685.7
1963112.388
1962111.992.7
1961110.588.3
1960116.690.7
1959113.592.2
1958113.691.8
1957114.992.3
1956113.390
1955112.592.7
1954110.989.9
1953113.689.4
1952111.691.8
1951111.591.6
1950109.489.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearLibyaTunisia
2015140.5122.7–155110.796.9–126.1
2016140.8126.8–152.9111.596.6–130.1
2017146128.5–159.7116.5102.4–131.8
2018140.6121.8–159.1115.999.4–131.9
2019144.3121.2–156.8116.598.5–129.5
2020143.7126.3–158.3113.899.9–130.1
2021144.7131.1–159117.4104.1–129.3
2022146.2129.6–163.7119.7103–137.3
2023144.7131.2–158.3118.7102.2–131.9
2024148.8135.3–162.1121107.5–132.6
2025148131.8–160.5120.2100–134
2026148.9135.9–160.7122.1110.1–134.5
2027146.2129.7–158.7119103.6–134.1
2028146133.3–161.9121.1104.5–135.4
2029148.6134.1–161.5121.5110.2–135.8
2030148.3131.9–159.9121.6104–133.4
2031149132.5–165.3121.8105.7–134.9
2032151.7137.6–165125.2111.6–138.9
2033152.7134.7–163.5124.7107.6–137.5
2034152.1136.4–166.8124.6107–141.7
2035153.3136.3–168.5126.3115.5–142.6
2036148.9135.3–162.7126112.5–141.9
2037150.2136.1–164.4126.5110–140
2038153.9139.1–169.1126.2111.1–139.1
2039154.2134.7–172.2127112.5–142.3
2040155.4140.4–168.6127.5112.8–144.3
2041154.4138.9–167.4125.5109.1–140.4
2042158.8139–173.8129.9114.8–145.8
2043156143.6–167.9129.1111.6–142
2044153.3138.2–169.2127.1112.8–141.8
2045157.6140–169.7128.5113.8–140.8
2046157139.9–170.8128.3109.9–144
2047157.1142.6–171.9131.2113.6–147.5
2048156.8144.9–168.2129.9114.9–142.3
2049156.4141.9–171.2130115.4–143.5
2050160.2144.6–172.3132.3117.6–147.6
2051156.9142.4–172.3130.1112.6–148.6
2052160.6147.6–173.2132.7116.8–146.7
2053160.4145.8–172.2132.5119.5–149.8
2054160143.6–176.2135.2118.4–148.8
2055161.7149–173.4135.1119.2–151.6
2056157.7140.4–173.6134.8119.6–149.5
2057158.9142.3–177.5131.9118.5–148.6
2058161.7145.2–179.2137.8122.5–156.5
2059165.2147.4–180.9134.9117.1–152.5
2060162.5143.4–179.2136.2120.5–150.1
2061162.8147.1–178.6139119.4–154
2062163.6147.2–177.4134.9119.1–155.9
2063158.9144–174.4138.6119.2–152.5
2064164.6146.1–179134.9121.1–152.7
2065164.6149.1–179137.1123.3–150.5
2066162.6144.6–179.3136.6119.2–155.1
2067168152–179.9138.9124.4–154.3
2068167.1148–184.3141.7124.8–159.2
2069167.1149.7–182.7140.3123.5–154.1
2070164.8147.9–184.1137123.6–155.3
2071166.9147.5–183.3140.5123.1–156.1
2072171.2152.9–181.9142.6128–154.3
2073165.5148.3–180.1139.3124.7–154.6
2074163.1144.5–182140.1123–156.5
2075164.5148.4–182.4139.6124.5–157.1
2076169.6149.7–184.9143.4125.2–158.8
2077171.2149.1–183.6141.3119.1–158.3
2078171.6153.1–183.2143127.2–155.9
2079168.4149.8–182.8144.7123.9–158.5
2080169.4152.6–183143.6123.6–158.7
2081166.3147.4–180.8139.9126.3–158.8
2082168.9153.2–184.9145.5125.9–158.1
2083166.9151.7–186.5143.4124.3–158.7
2084172.9151.6–186.4144.8129.6–159.7
2085168.7152.1–183.4145.3124.7–159.5
2086173.7157.5–188.1144.7129.5–162.7
2087167.7145–184.9144125.7–159.2
2088169.8153–188.3147.3127.2–165.4
2089169.4154–188.9142.7125.3–164.8
2090169.3149.9–188.3145.2126.3–165.1
2091172.9156.2–187.9144.9127.4–164.4
2092172.2154.1–186148.2126.3–161.1
2093171.8154.8–187.9146.9127.2–165.6
2094172.8157.2–185.2145.7126.8–160.4
2095170.8155.1–186.2145.5125.4–161.5
2096170.1156.2–189.7146.3130–169.4
2097169.4154.6–183.2144.6125.7–160.6
2098169.8151.1–185.7147129.6–161.9
2099169.3156.5–188.9145.8130.3–163.7
2100172.3153.7–190.8143.8124.8–163.8

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

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